Build With AI

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Email: mark@masteringai.io

Landing a $30K Retainer BRAND NEW to AI (Case Study)

Corey Ganim — Wed, 26 Aug 2026 00:15:00 +0000

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

In this episode, I sat down with Dino Watt, an orthodontics industry consultant with zero technical background, who used the exact AI Operator Academy playbook to land a $30,000 consulting deal in under three months. Dino walks through his entire funnel live: a $97 workshop that pre-sold assessments before he ever taught it, a $797–$997 paid AI assessment, and a standout add-on nobody else is doing, an AI-generated explainer video that turns his report into a seven-minute video his clients can forward straight to a business partner or spouse. He breaks down the actual numbers: $5,734 collected before a single sales call, a 44% close rate, and a $5,000-a-month, six-month AI Concierge retainer closed off the back of an assessment he got paid to deliver. By the end of this episode, you'll have a full blueprint for turning a paid workshop into a five-figure retainer, even if you've never written a line of code.

Timestamps:

00:00 - Intro: meet Dino Watt

00:50 - Not technical, dyslexic, no coding background

01:35 - Joining AI Operator Academy with his wife Shannon

02:39 - The $30K AI Concierge retainer overview

03:09 - Using Claude to build his podcast slides live

04:55 - The filter: effectiveness, efficiency, quality

05:27 - Pricing the $97 workshop and early bird upsells

06:20 - Upselling the $997 paid assessment

07:20 - Doing the assessments and giving one testimonial freebie

08:29 - Booking the follow-up call off the explainer video

09:30 - Why he charges $5K/month over six months, not $2K

11:45 - Solve rich people problems

12:48 - Walking through the full deliverable package

13:19 - The one-pager and proof kit

13:34 - Why he built a 7-minute NotebookLM explainer video

15:49 - How the explainer video preempts objections

17:39 - Selling to secondary decision-makers without being in the room

19:14 - His real numbers: $65,734 from one $97 workshop

20:37 - Why he'd scale this into in-person workshops

22:41 - Where to follow Dino and final thoughts

Key Points

Dino closed a $30,000 AI Concierge retainer, $5,000 a month for six months, despite having dyslexia, no coding background, and no marketing expertise. Proof the AI Operator Academy playbook works for anyone willing to run it as taught.

His funnel gets him paid at every single step. A $97 workshop with a built-in $497 early-bird upgrade to the paid assessment, then a $797–$997 assessment, then the retainer. He made $5,734 before he ever got on a sales call.

From one $97 workshop with 20 attendees, Dino generated $65,734 in total tracked value and a 44% close rate turning assessments into retainers.

His standout move: he runs the finished assessment report through NotebookLM (Gemini) to generate a seven-minute AI explainer video, then sends it to the prospect ahead of the sales call. It becomes an asset the client can forward to a spouse, partner, or financial advisor who needs to sign off.

He charges $5,000 a month on a six-month contract instead of pitching a flat total, and always frames the price against the dollar savings ("pay $30K to get $250K back") rather than naming the full number upfront.

His advice to new operators: don't overcomplicate the discovery questions. Even with 15 years of orthodontic industry expertise, his actual assessments still trace back to the same core questions taught in the program, deep industry knowledge just makes the calls longer, not more accurate.

He never pitches the retainer as the only option. Every prospect is told they can take the full assessment blueprint to any AI developer they want. That transparency, plus already being a paying customer, is what makes them choose to hire him instead.

Claude, used to build the presentation deck and customize the assessment questionnaire for the orthodontics niche - https://claude.ai

NotebookLM (Gemini), used to turn the finished assessment into a seven-minute explainer video for prospects - https://notebooklm.google

AI Operator Academy, the community where Corey and Dino teach people how to sell AI assessments and AI Concierge retainers - https://aoa.community

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The laziest way to make $10K/month selling AI

Corey Ganim — Mon, 24 Aug 2026 00:15:00 +0000

Grab the free Mini AI Assessment Playbook here: https://corey-ganim.kit.com/0cea7ca381

In this solo episode, I break down the exact offer ladder that's letting complete beginners hit $10K a month selling AI services without a single cold call, cold email, or DM. I walk through the three rungs — a free 15-minute mini AI assessment, a $999 paid AI assessment, and a $1,000–$2,000/month AI Concierge engagement — and show you the real math behind why you only need four AI Concierge clients and four paid assessments a month to hit that number. I get specific on who your ideal client actually is, the exact text message script to send your warm network, and the pricing mistakes that keep people underpaid doing this work. By the end of this episode, you'll have the full playbook to land your first paying AI client this month, plus a free download to run it yourself.

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

Timestamps

00:00 - Intro: the laziest way to $10K a month

00:30 - The opportunity and the offer ladder overview

01:45 - Why anyone can do this (no cold outreach required)

02:45 - Your ideal customer: 3–20 employees, 500K–10M revenue

04:30 - The real pain point: "where do I start," not an AI problem

06:00 - Becoming the technical translator and prescribing tools

07:30 - The three-rung offer ladder explained in full

09:30 - Pricing and margins: 98% net margin math

11:00 - The $1,000-an-hour AI concierge breakdown

12:00 - Getting your first client: list, text, upsell

14:00 - The exact text message script to send

15:00 - Turning every "no" into a referral

16:00 - Mistake #1: running out of your warm list

16:45 - Mistake #2: underpricing the AI concierge offer

18:00 - Mistake #3: not qualifying leads before the free assessment

18:45 - Next steps and how to join AI Operator Academy

Key Points

The whole business runs on one offer ladder: a free 15-minute mini AI assessment that finds one pain point and prescribes one tool, upsold into a $999 paid assessment that prescribes three to seven tools, upsold into a $1,000–$2,000/month AI Concierge engagement to implement it all.

The math is simple: four AI Concierge clients at $1,500/month plus four paid assessments at $999/month gets you to $10K a month, and AI Concierge fulfillment is just two 45-minute calls per month per client.

This is close to a 98% net margin business. The only cost of goods is a $20/month Claude subscription — no team, no overhead, nothing else required to fulfill any of these offers.

The client acquisition system is three steps: make a list of 50 people you already know, send one specific text message offering a free mini assessment, then upsell. Send 50 texts and you can expect 15–25 mini assessments booked and 5–7 paying clients.

Every "no" is still a win — ask for two referrals every time, whether you get a yes, a no, or no response at all. About 50% of nos turn into one or two referrals.

Never price AI Concierge under $1,000/month. Anchor to the hours you save the client, not the hours you spend — one AI Operator Academy member just closed a client at $5,000/month for six months.

Qualify before you assess. The ideal client has three to 20 employees doing $500K to $10 million a year in revenue — solopreneurs usually can't afford the follow-through, even if they want in.

Claude - the AI tool used to fulfill every AI Concierge engagement, and the only real cost of goods in this entire business at $20/month - https://claude.ai

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AI Concierge Explained in 19 Minutes

Corey Ganim — Fri, 21 Aug 2026 00:15:00 +0000

Grab the free AI Concierge Playbook, the full step-by-step implementation guide to build this offer yourself https://corey-ganim.kit.com/cde665995b

In this solo episode, I break down my AI Concierge offer, the exact system that's paying me over $1,000 an hour for two 45-minute calls a month and Voxer access to me in between. I walk through why so many business owners stall out with AI tools on their own, the AOA framework we use to fix a broken process before we ever automate it, and the four deliverables that make up the entire engagement: the intake form, the strategy calls, unlimited Voxer access, and the Notion Hub that keeps clients renewing every month. I also open up the real numbers, going from zero to $8,000 in monthly recurring revenue in 10 days, and show you exactly how to price this so you're making $1,000+ an hour doing it. By the end of this episode, you'll have the full offer breakdown to copy and paste directly into your own business.

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

Timestamps

00:00 - Intro: the $1,000 an hour AI Concierge offer

00:35 - The opportunity: done-with-you AI consulting for small business owners

02:10 - Zero to $8K MRR in 10 days from six conversations

03:15 - The problem: business owners stuck working in, not on, the business

05:00 - Why AI tools stall without fixing the process first

05:45 - The ideal client: wants a partner, not a course or a black-box agency

06:45 - Free AI Concierge Playbook and the AI Operator Academy business-in-a-box

08:15 - The intake form: no form means no call

10:00 - The two monthly 45-minute strategy calls

10:45 - The AOA framework: Audit, Optimize, Automate

12:30 - The first call: onboarding clients to Claude Cowork with a custom plugin

14:15 - Voxer: unlimited walkie-talkie access between calls

15:45 - The Notion Hub: the retention weapon

17:30 - Pricing and margins: how to price and when to raise your rates

18:45 - Capping clients and using scarcity to sell the offer

Key Points

AI Concierge is done-with-you consulting: an intake form, two 45-minute strategy calls a month, unlimited Voxer access, and a shared Notion Hub. No churned clients so far and an effective rate north of $1,000 an hour.

The AOA framework is the whole methodology: Audit the manual process, Optimize it by cutting the fat (most 15-step processes only need nine), then Automate it into a Claude skill. Automating a broken process just speeds up the inefficiency, so the order matters every time.

The ideal client doesn't want a course and doesn't want a black-box agency. They want a partner sitting beside them on the call, walking them through it step by step, so they actually understand what was built and how to maintain it.

The intake form is a hard requirement before the first call. It surfaces the three tasks eating the client's week and asks what process they'd pay the most to never do again, which tells you exactly where to start the engagement.

Voxer access is high perceived value and low fulfillment. Clients rarely use it, but knowing they can reach you anytime makes the retainer feel worth every dollar.

The Notion Hub logs every call, recording, summary, and top-three takeaways at the call level, and doubles as the renewal weapon. Two Claude skills fill it out and draft the follow-up email automatically, so updating it takes about 30 minutes per call.

Never charge less than $1,000 a month for this offer. Raise your price by $250 to $500 every time you close a new client, and if nobody's saying no, your price is too low.

Jotform, the intake form tool with a direct Claude connector - https://www.jotform.com

Claude / Claude Cowork, used to build the intake form, run the AOA framework live on calls, and onboard clients with a custom plugin - https://claude.ai

Notion, home of the client-facing Notion Hub that logs every call, recording, and takeaway - https://www.notion.so

Voxer, the walkie-talkie app used for unlimited between-call access - https://voxer.com

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Laziest way to sign AI clients FAST

Corey Ganim — Wed, 19 Aug 2026 00:15:00 +0000

Grab the free Mini AI Assessment Playbook that walks through the exact 15-minute assessment used to open doors with local businesses: https://corey-ganim.kit.com/0cea7ca381

In this solo episode, I break down the seven laziest ways to sign AI clients fast, no audience, no ad spend, no capital required. I walk through exactly how I landed seven qualified leads and a paying client from 90 minutes of effort spending zero dollars, then hand you the same playbook: hosting an AI for Business meetup in your city, door knocking local businesses, LinkedIn outreach that doesn't read like AI spam, free AI audits for your warm network, partnering with agencies and consultants who already have the clients you want, hosting AI office hours at a local co-working space, and posting your wins on social media to stay top of mind. Every method is built around one truth: you don't need to be an expert, you just need to be the first credible person who shows up with a plan. By the end of this episode, you'll have seven concrete, low-cost ways to become the go-to AI person in your city, starting this week.

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

Timestamps:

00:00 - Intro: the laziest ways to sign AI clients

00:25 - Why local AI expertise is such a low bar to clear

01:30 - The problem: business owners drowning in repetitive work

02:35 - Method 1: Host an AI for Business meetup

05:20 - How to run the meetup format start to finish

07:00 - Method 2: Door knocking local businesses

08:45 - The free mini assessment playbook and the paid upsell

10:00 - Method 3: LinkedIn outreach done right

11:30 - Method 4: Free AI audits for your warm network

13:00 - Method 5: Partner with agencies and consultants

14:20 - Method 6: Host AI office hours at a co-working space

15:30 - Method 7: Post your wins on social media

16:30 - Recap and how to join AI Operator Academy

Key Points:

The bar to being "the AI guy" in your city is shockingly low. You don't need to be a big social media name, you just need to know more about AI than the local business owners who don't know where to start.

Hosting a free AI for Business meetup is the highest-leverage method on the list. One meetup in a rented co-working space room, cost about $100, produced seven qualified leads and a paying client within a week.

Door knocking still works better than almost anything else. One listener knocked on 30 businesses and landed five meetings and two paying clients in a week; another closed a client off a single door knock the same day.

LinkedIn outreach only works if you never pitch in the first message. Send 20 personalized DMs a day to local business owners with 10 to 50 employees, ask what's annoying about their day-to-day, and you'll land a paying client in three weeks or less.

Your first paying client is probably already in your phone. Texting 30 to 50 people in your warm network for a free 20-minute AI audit converts at a high enough rate that even the "no's" turn into referrals.

Partnering with agencies, coaches, accountants, and realtors turns them into an unpaid sales team. Offer 10 percent of any deal that closes and follow up every two to three weeks until you're the first person they think of.

Posting your wins doesn't require big results or a big following. Screenshotting a single answered question with permission and posting three to five times a week for 90 days is enough to become the person your network thinks of when they think of AI.

Links mentioned:

Luma – simple event registration page for hosting local meetups -https://lu.ma

Eventbrite – event registration platform for local meetups - https://www.eventbrite.com

Meetup.com – event registration and discovery platform for local meetups - https://www.meetup.com

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How to Sign Your First AI Client (Zero Content or Cold Outreach)

Corey Ganim — Mon, 17 Aug 2026 00:15:00 +0000

Grab the exact step-by-step plan to land local AI clients in 30 days: https://link.excalidraw.com/l/4z8Z2Lyybfg/2pMiTnq0qvf

In this solo episode, I break down the highest-ROI play I've found for landing AI clients without posting content or sending a single cold email: hosting a monthly AI for Business meetup in your own city. I walk through how I built mine in Charlotte from 25-30 people at the first event to a partnership that's set to bring 50+ to the next one, and exactly how the meetup feeds into the two offers that actually make money, the $999 AI Tools Assessment and the $1,000-$2,000/month AI Concierge retainer. I share the free Claude prompt I used to build the entire event structure and marketing plan, the exact Facebook group script that gets you 10-15 signups, and the three biggest mistakes that kill this strategy before it compounds. By the end of this episode, you'll have a step-by-step plan to fill a room with local clients in the next 30 days.

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

Timestamps

00:00 - Intro: the AI for Business meetup opportunity

00:45 - What the meetup is and why it beats content or cold outreach

01:45 - The two ways clients come from this event

02:45 - Why non-technical local business owners are your ideal client

03:45 - The opportunity: everyone else is hiding behind a screen

05:15 - The offer stack: meetup as the front door

06:15 - The AI Tools Assessment explained ($999, 45 minutes)

07:15 - The AI Concierge retainer and AI Operator Academy

09:00 - The free Claude prompt that builds your whole event

10:15 - Pricing and margins on the assessment and concierge

11:45 - Step-by-step plan to fill your first meetup

13:45 - The hack: partnering with a local Facebook group owner

15:15 - How to close the room with a simple CTA

16:45 - Three pitfalls that kill this strategy (and the fixes)

19:00 - Your next step and how to join AI Operator Academy

Key Points

Hosting a free monthly AI for Business meetup at a local co-working space generates clients, referrals, partnerships, and speaking opportunities without any content creation or cold outreach.

Clients come from this event in two ways: ideal clients who attend and want to buy, and other AI-niche people at the event who refer you business from their own networks, often more of the latter than the former.

The meetup is the front door, not the offer. The real revenue comes from two back-end products: a $999 AI Tools Assessment (a 45-minute conversation that produces a report of three to seven off-the-shelf AI tools to reclaim 5-10 hours a week) and an AI Concierge retainer at $1,000-$2,000/month for done-with-you implementation.

The math works out to roughly $500/hour on the assessment and $667-$1,333/hour on concierge work, meaning two assessments and one concierge client from a single meetup can mean $3,000-$4,000 in one evening.

In-person trust compounds faster than digital trust. You can build more rapport in 30 seconds face-to-face than in six months of content or cold DMs, and most local business owners don't trust internet "experts" they've never shaken hands with.

Partnering with the owner of a large local Facebook group as a co-host is the single biggest lever for turnout. Approaching a group owner with a done-for-you pitch (you bring the expertise, they bring their audience) can multiply attendance from 12-30 people to 50+.

The three biggest ways this strategy fails: low turnout at event one (fix: co-host with a group owner and post in 5+ Facebook groups, not one), pitching too hard (fix: teach for 15-20 minutes before a soft 30-60 second CTA), and quitting after one event instead of locking a recurring monthly date so referrals can compound.

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I asked Codex to make me as much money as possible

Corey Ganim — Thu, 13 Aug 2026 00:15:00 +0000

In this solo episode, I fire up Codex's voice mode with zero plan and challenge it to build me a real business from scratch in under 30 minutes, an idea to offer to a list of leads I could walk in and pitch today. I talk Codex through five AI service business ideas, land on a "local lead and reputation engine" for service businesses, and have it apply Alex Hormozi's $100 Million Offers framework to turn it into something a business owner would feel stupid saying no to. From there I built a live website using Codex Sites and went to find 10 real local businesses near me in Charlotte, with no digital presence, sorted by walking distance so I could hit all 10 in an hour. By the end of this episode, you'll see exactly how I went from nothing to a working offer, a website, and a prioritized prospect list, without touching my keyboard once.

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

Timestamps:

00:00 - Setting the challenge: idea to offer to leads in 30 minutes

01:30 - Brainstorming five AI service business ideas with Codex

03:00 - Landing on appointment recovery plus review growth

05:00 - Applying Hormozy's $100 Million Offers framework

07:30 - Building the actual offer and pricing structure

09:30 - Crafting the one-liner pitch for walking in cold

11:00 - Choosing the tech stack: why GoHighLevel wins

13:00 - Working around businesses that already have a CRM

15:30 - Building a live website with Codex Sites in three minutes

18:00 - Walking through the finished Signal Local website

21:00 - Setting lead criteria: good reviews, poor digital presence

23:00 - Codex researches and ranks 10 local leads by proximity

25:00 - Reviewing King Auto Repair and Plaza Tire and Auto

27:00 - Why this is a no-brainer offer for mom-and-pop businesses

28:30 - Doing it all hands-free, even from your phone

29:30 - Join AI Operator Academy

Key Points

I never typed a single word. The entire idea, offer, website, and lead list were built through a live voice conversation with Codex, which means this same process works while driving, walking, or doing anything else.

The strongest offer bundled two services into one: instant replies and follow-up texts for missed calls (speed to lead) plus automated, personalized review requests after every completed job. I had Codex run that combo through the $100 Million Offers framework to make it irresistible.

GoHighLevel was the pick for the tech stack because it can either run standalone or sit alongside a business's existing CRM, and a huge number of local businesses, even established ones, aren't using a CRM at all. That gap is the lowest-hanging fruit.

Codex Sites built a full one-to-two-page website with a logo, headline, value prop, and a working "book a consultation" button in about three minutes. Four years ago, that same site would have cost around $5,000 and taken three weeks.

For lead-finding, the filter that matters isn't industry, it's digital presence. Good Google reviews plus no website (or a Google Business page that just links to Facebook) is the signal of a mom-and-pop shop that's leaving money on the table.

Codex sorted the 10 leads by proximity to my neighborhood so I could walk the route in order instead of driving across town, and it added direct links to each business's Google Business page so I could pull them up instantly from my phone.

Real example: King Auto Repair has a 4.5-star rating with 251 reviews and unanswered one-star complaints, but no website and no way to book online. The only way to do business with them is to show up or hope someone answers the phone. That's the entire opportunity in one business.

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How to make $10K/month selling AI services (step by step)

Corey Ganim — Tue, 11 Aug 2026 00:15:00 +0000

In this solo episode, I walk through the exact three-stage roadmap I used to build my AI services business past $10K a month in under a year: the free mini assessment, the paid assessment, and the AI concierge model. I break down what each stage actually looks like on a call, how to price them (including the exact math that gets you to 10K/month), and the three biggest ways this business breaks if you're not careful. I also hand you my AOA framework - Audit, Optimize, Automate - which is literally how I turn a client's manual process into a Claude skill during every concierge engagement. By the end of this episode, you'll have the full playbook for landing your first AI services client and scaling to recurring revenue.

Grab all the free resources mentioned in this video: https://corey-ganim.kit.com/6a4bf70e48

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

Timestamps

00:00 Overview of the three-stage roadmap to 10K/month

01:15 Stage 1: What a free mini assessment actually is

03:00 Stage 2: The paid assessment (3-7 tools vs. 1)

04:30 Stage 3: The AI concierge recurring revenue model

06:00 The AOA framework: Audit, Optimize, Automate

07:00 Why unlimited Voxer access is high perceived value

07:45 The math: How many clients you need to hit 10K/month

09:00 Who to sell this to (ideal client profile)

10:00 Action step: Text 10 business owners today

11:00 Three ways this business breaks (and how to avoid them)

12:00 How the free assessment call actually runs

14:00 How the paid assessment works and quantifying ROI

17:30 How AI concierge calls run using the AOA framework

19:30 Pricing strategy: Raise by $250 every time you get a yes

20:30 Recap and where to get the free resource library

Key Points

The business runs in three stages: a free mini assessment to get testimonials, a paid assessment ($500-$2,000) to prove deeper value, and AI concierge (done-with-you consulting) for recurring revenue.

The free mini assessment is intentionally small: a 15-minute call to identify one pain point, followed by a 5-10 minute call to prescribe one tool or workflow. No implementation, no building — just a roadmap. Only do this for your first one to three contacts to earn testimonials.

The paid assessment is "the free assessment on steroids" — a 45-60 minute discovery call that surfaces 3-7 opportunities, scored on an effort-versus-impact matrix to find the high-impact, low-effort quick wins. Priced at $500 to start, with $1,000 as the sweet spot and $2,000 as the ceiling once you have proof.

AI concierge is where the real money is: two 45-minute strategy calls a month plus unlimited Voxer access, priced $1,000-$2,000/month, using the AOA framework (Audit the manual process, Optimize it, Automate it into a Claude skill inside Claude Cowork).

The math to 10K/month: 10 AI concierge clients at $1,000/month, 7 at $1,430/month, or 5 at $2,000/month — all before counting a dime of assessment revenue.

The best clients are owner-led service businesses doing $3-10M+ in revenue with repetitive manual work, visible bottlenecks, and budget — they already know they need AI, they just don't know where to start.

The three ways this breaks: doing free implementation work instead of stopping at the roadmap, letting concierge calls turn into unlimited ad hoc Zoom sessions instead of a fixed cadence, and building a custom tool stack for every client instead of standardizing on Claude Cowork and Claude skills.

Raise your price by $250 every time a prospect says yes — if someone pays $1,000, pitch the next person $1,250, and keep climbing until people start saying no.

SaneBox – the AI email triage tool most commonly prescribed during assessments to cut hours of inbox time - https://www.sanebox.com

AI Tools Assessment Report template – the free consulting-style report template used to deliver paid assessment roadmaps - https://audittemplate.ai

Voxer – the walkie-talkie app used to offer unlimited AI concierge access with a 12-business-hour response window - https://voxer.com

Claude Cowork – the tool used to build and standardize Claude skills for every AI concierge client - https://claude.ai

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This hidden Codex feature PRINTS cash (no one is doing this)

Corey Ganim — Mon, 10 Aug 2026 00:15:00 +0000

In this solo episode, I break down a hidden Codex feature most people are sleeping on and show you exactly how to turn it into a client-getting machine. I walk through the entire offer from scratch: how to target local service businesses with bad or missing websites, how to use Codex Sites to build them a free homepage preview in under two minutes, and how to turn that free preview into a paid website, a monthly care plan, and eventually an AI assessment and managed AI services retainer. Then I open up Codex live, off the hip, and build a real homepage for an actual Charlotte pressure washing company using voice mode, find their broken quote form, fix it, and generate outreach templates to contact the owner directly. By the end of this episode, you'll have a full repeatable playbook you can run on literally any local service business in your area.

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

Timestamps:

00:00 - Intro to the Hidden Codex Feature
00:45 - Picking the Target: Local Service Businesses to Go After
02:15 - Building the Free Codex Sites Homepage Preview
03:45 - Pitching the 2-Minute Loom Walkthrough
04:30 - Pricing the Full Paid Website Build
05:15 - The $99–$299/Month Care Plan Upsell
06:00 - Uncovering Speed to Lead & Follow-Up Problems
07:30 - Selling the $1,000 Paid AI Assessment
08:45 - 3 Pitfalls: What NOT to Do When Pitching
10:30 - Live Demo: Talking to Codex in Voice Mode
12:00 - Finding a Local Business & Building the Site
14:30 - First Look at the AI-Generated Homepage Draft
16:00 - Comparing It to the Real (Broken) Website
18:00 - The Audit: Uncovering a Broken Quote Form
20:00 - Iterating Live: Fixing Logo, Layout & Quote Form
24:00 - Testing the New Speed to Quote Form
27:30 - Finding the Owner's Contact Info & Socials
30:00 - Drafting Outreach Email, Text & Cold Call Script
33:00 - How to Attach the New Site to the Client's Domain
35:00 - Wrap-Up & AI Operator Academy Invite

Key Points

The best prospects for this offer are mom-and-pop local service businesses selling a higher-ticket service (tree services, roofers, HVAC, commercial pressure washing) that have great Google reviews but a weak or missing website, and where you can reach the owner directly by phone.

Codex Sites lets you build a fully custom, hosted homepage in minutes using nothing but voice chat, using only verified public information about the business so you're not misrepresenting them to a prospect.

The free homepage preview is a foot-in-the-door offer, not the moneymaker. The real path is: free preview to paid website ($500–$1,000) to a $99–$299/month care plan to a $1,000 paid AI assessment to ongoing managed AI services that can run $1,000–$2,000+ a month.

Never let Codex invent facts about a business, never promise traffic you can't control (sell trust instead), and never upsell before you've actually delivered — those are the three fastest ways to torch your credibility with a cold prospect.

In the live demo, Codex found a real Charlotte pressure washing company, built a homepage with a working speed-to-quote form in about five minutes, and the form actually generated a real quote range ($975 to $3,225) and let the user text themselves the estimate — instantly beating the business's real website, whose quote form was completely broken.

Codex can research the business owner's contact info, LinkedIn, and social channels, then draft a full outreach sequence (email, text, cold call script, DM script) for you, giving you seven-plus ways to get in front of a decision-maker without writing a single word yourself.

If a prospect worries about the technical side of attaching a new website to their existing domain, the answer is the same as everything else in this workflow: ask Codex to handle it. It's turnkey and can be bundled into the price you charge for the build.

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How to make f*ck you money SEOmaxxing boomer businesses

Corey Ganim — Fri, 07 Aug 2026 00:15:00 +0000

Find the exact 10-page prompt I used to build this app here: Steal the prompt I used to build the SEO machine in Letaido

All Ahrefs customers get 1 month of Letaido for free. Sign up for Ahrefs here: https://ahrefs.com/

Right now there's a massive opportunity in AI that most companies have no idea how to solve: they don't know how to show up in AI search results. In this solo episode, I walk through how to build a standalone app inside Latito (Ahrefs' new agentic tool) that finds exactly where your competitors are getting cited by ChatGPT, Gemini, and Perplexity while you're invisible, then writes, previews, and one-click publishes content to close that gap. I show the whole build end to end, from the exact prompt I used to generate the app, to pulling live opportunity data on real competitor sites, to publishing a finished article straight to my website. By the end of this episode, you'll have a repeatable system you can turn around and sell to local and mid-size businesses as an AI visibility audit, a content service, or a full monthly retainer.

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

Timestamps

00:00 - Why AI Search Visibility Is the Opportunity Right Now
01:30 - Introducing Latito: Ahrefs' Agentic SEO/GEO Tool
02:30 - The Exact Prompt Used to One-Shot the App Build
04:00 - Setting Up Brand, Competitors & Target Platforms
06:30 - Finding Opportunities: 47 AI Answers Analyzed in Seconds
08:00 - Breaking Down the Top Opportunity ("What is Poppy AI for?")
10:30 - How a Competitor's Article Is Winning AI Citations
12:00 - Generating a Competing Article Automatically
14:30 - Why AI Search Rewards Numbered Lists, Tables & FAQs
16:00 - Previewing the Article Before Going Live
18:00 - Turning Off Test Mode & Publishing to the Live Site
20:00 - Tracking Daily AI Citation Performance Over Time
21:30 - 4 Ways to Monetize This as a Service

Key Points

Traditional SEO has shifted into GEO/AEO (generative/AI engine optimization) — the game now is getting cited inside AI answers on ChatGPT, Gemini, Perplexity, and Copilot, not just ranking on a Google results page.

The Latito app connects directly to Ahrefs' data to scan AI answers across all platforms, flag which competitors are getting cited, and surface content gaps as concrete "opportunities" ranked by how winnable they are.

In one demo run against two real competitor sites, the app pulled 47 AI answers, found 47 answers where the brand was missing, and narrowed that down to 5 final content opportunities worth acting on.

The app doesn't just diagnose the gap — it writes a full article (with meta description and URL slug), validates its own draft for quality, and lets you preview it live on your actual site before anything goes public.

AI citation engines consistently favor a specific content structure: numbered lists, comparison tables, and FAQ sections at the end are what get pulled into AI answers, and the generated article included all three by default.

Publishing is deliberately friction-heavy for safety — you have to verify facts and sources, then type PUBLISH in all caps before anything pushes live to the site via GitHub/Vercel.

Once published, the app tracks daily whether your brand is mentioned, whether your page is cited, and your AI share of voice against competitors — the exact data needed to sell this as an ongoing retainer with a monthly ROI report.

Latito - the agentic SEO/GEO tool from the makers of Ahrefs used to build this app - https://www.letito.app

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7 AI services boomer businesses are BEGGING for

Corey Ganim — Thu, 06 Aug 2026 00:15:00 +0000

In this solo episode, I break down the exact 7 AI service offers that small business owners are lining up to pay for right now, starting with the one that requires zero AI experience to sell. I walk through the what, why, build process, and real pricing for each one, from the $999 AI assessment that converts 50-60% of clients into bigger engagements, to the AI concierge retainer that's currently my biggest personal income stream, to full implementations that can run $5,000 to $10,000 or more. I share real client stories along the way, including a fintech CEO whose weekly memo process we cut from two hours to 15 minutes, and an Amazon seller whose 25-step ad reporting process we trimmed to 10. By the end of this episode, you'll know exactly which offer to start with, how to price each one, and how they stack into each other so you're never stuck pitching something you're not ready to fulfill.

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

Timestamps

00:00 - Intro: The 7 AI Offers Small Businesses Want

00:20 - Offer 1: The AI Assessment (What, Why, Build, Price)

02:40 - Free Report Template (audittemplate.ai)

04:00 - Offer 2: The AI Concierge (Corey's Top Income Offer)

06:30 - Turning Client Intake Forms into Claude Projects & Skills

07:40 - Concierge Pricing & Effective Hourly Rate Math

08:40 - Client Story: Automating a Fintech CEO's Weekly Memo

09:40 - Offer 3: Process Redesign (Fixing Broken Workflows First)

11:20 - Case Study: Cutting a 25-Step Amazon Ad Process to 10

12:20 - Offer 4: Simple Automation Builds with Zapier & Make.com

13:40 - Case Study: Automating a Wedding Venue's Asana Onboarding

14:50 - Offer 5: Knowledge Systems (Custom GPTs Trained on Client Data)

16:10 - Case Study: Business Broker's Custom GPT Cuts 500 Emails to 10

17:10 - Offer 6: Custom Workflows & Claude Skills

18:30 - Case Study: The Podcast Production Orchestrator Skill

19:50 - Offer 7: Full Implementation (Mix and Match Everything)

21:00 - Why You Start with the Assessment, Not the Full Build

Key Points

The AI assessment is the best offer to start with because it requires no AI expertise to sell. It's a paid diagnostic: a 45-minute interview uncovering bottlenecks, delivered as a report showing 3-7 off-the-shelf AI tools the business can implement immediately. Priced at $999, and 50-60% of clients convert into a bigger implementation engagement.

The AI concierge is a done-with-you monthly retainer where you sit side by side with the business owner and turn their manual processes into Claude skills. Priced at $1,000-$2,000 a month for two 45-minute calls, which works out to $750-$1,250+ an hour, because you're pricing on hours saved for the client, not hours worked.

Never automate a broken process. A process redesign strips the waste out of a workflow before any AI or automation touches it. One Amazon seller paid $3,500 just to cut his 25-step, 10-hour-a-week ad analysis process down to 10 steps and about an hour a week, before automation was ever on the table.

Simple automation builds using Zapier or Make.com work best when the input and output are concrete and repeat the same way every time. A wedding venue business paid $1,500 to fully automate a manual Asana onboarding duplication task that was eating an hour of a project manager's time every week.

Knowledge systems are custom GPTs or Claude projects trained on a client's content to answer repetitive questions. A business broker went from 500 buyer emails per listing to about 10 after we built a custom GPT trained on his marketing package, priced at $3,000.

Custom workflows turn a client's existing scattered AI use into one-click Claude skills. One client's podcast production process, previously 30-45 minutes of manual copy-pasting into ChatGPT, became a five-minute run of an orchestrator skill. This tier prices at $3,000-$5,000, based on the deliverable, not the hours.

Full implementation is the mix-and-match top tier, combining any of the previous six offers into one engagement priced at $5,000-$10,000 or more, plus a monthly retainer worth roughly 10% of the build price to maintain it. Don't pitch this until you've done 5-10 smaller projects first.

Links mentioned

Free AI assessment report template, the exact one used to deliver $999 assessments - https://www.audittemplate.ai

Fathom, the AI notetaker used to transcribe discovery calls - https://fathom.video

Claude, used to analyze call transcripts, find matching tools, and build client-specific Claude Projects and skills - https://claude.ai

Gamma, one of the tools used to build assessment report deliverables - https://gamma.app

Jotform, used to build the AI concierge client intake form - https://www.jotform.com

Zapier, used for simple workflow automation builds - https://zapier.com

Make.com, used for simple workflow automation builds - https://www.make.com

Asana, the project management tool automated in the wedding venue case study - https://asana.com

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How to sell managed AI agents as a service (recurring revenue)

Corey Ganim — Mon, 03 Aug 2026 00:15:00 +0000

If you use BOTH the following link and code COREY, you'll get your first 3 days of Orgo free, then 20% off your first 3 months: https://www.orgo.ai/?r=COREY

I sat down with Phil Goodwin, a completely non-technical designer who sold his last business this past November and, just months later, built a managed AI agent business he now runs under the name Sidecar. Phil walks through his exact stack, how he prices setup fees and monthly per-agent retainers, and the "guinea pig" pitch he used to land his very first paying clients without a following or an email list. We get into real client use cases (a one-man directional drilling company, a short-form video editor), the group-chat trick he uses so clients actually learn to talk to their agent, and a dead-simple weekly value tracker that quantifies exactly why a client should keep paying every month. By the end of this episode, you'll have a working blueprint for pricing, pitching, and delivering a managed agent offer even if you've never written a line of code.

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

Timestamps

00:00 - Intro: The Promise of This Episode

00:41 - Phil's Non-Technical, Design-First Background

02:43 - What "Managed Agents" Actually Means

04:14 - Coaching Plus AI Employee, Not Plug-and-Play

05:31 - How Phil Built Agents for Himself, Then Friends

08:23 - Setup Fee Plus Per-Agent Pricing Model Explained

09:55 - Why "We Fix It Before You Notice" Is the Real Value Prop

11:53 - Real Client Use Cases Across Industries

12:30 - Drilling Company Client and the Telegram Group Chat Trick

15:21 - The Value Ledger: Tracking Hours and Dollars Saved Weekly

17:00 - Short-Form Video Editing Use Case

18:41 - Give Agents a Human-Readable Source of Truth, Not Just Markdown

19:53 - Finding First Clients Through Friends and Referrals

23:21 - Pick the Offer You Enjoy Fulfilling, Not Just the Lucrative One

24:31 - The Exact Text Phil Sends to Pitch Free "Guinea Pig" Work

26:29 - Pricing Breakdown: From $250/Month to a $1,500 Setup

29:37 - Should You Skip the Free Phase and Go Straight to Paid?

31:23 - Step One Advice: Pick Orgo and Land Your First Client

34:22 - Where to Find Phil and Sidecar

Key Points

Managed agents aren't plug-and-play. Phil's offer is a hybrid of coaching, consulting, and a deployed AI employee — he acts as the ongoing manager of the agent, not just the person who installed it, which is why clients pay a few grand a month instead of walking away after setup.

Phil started by pricing pure infrastructure setups at $500, then raised it to $1,000, $1,500, and $2,000 as people kept saying yes — but he learned that handing off infrastructure without ongoing coaching causes clients to abandon the agent within weeks because they don't know how to talk to it.

His current pricing model is a setup fee plus a per-agent monthly fee, a deliberate departure from flat unlimited-agent pricing (like the $5K/month unlimited model his podcast guest Nick uses) because most clients only need one or two agents, not unlimited access.

The single most valuable "pro tip" from this episode: have the agent maintain a value ledger that logs every task it completes and assigns it a time and dollar value, then send the client a weekly report. One client saved 63 hours and $6,300 in his very first week — a number that makes churn almost impossible.

Phil sets up a three-way Telegram group chat with himself, the client, and the agent, so the client can watch him interact with the agent and learn how to prompt it, while Phil can see exactly what tasks are being requested and coach in real time.

Client acquisition ran entirely on free work and referrals — no social following required. Phil did free setups for close friends to get testimonials, and those friends referred him to paying clients in bigger cities, expanding a small-town Georgia network into clients across the country.

Not every profitable offer is the right offer for you. Phil explicitly avoids multi-tool consulting and audits (the AI Concierge model) because it's not what he enjoys fulfilling — his advice is to find the intersection of what's lucrative and what you actually want to deliver.

Orgo, an AI agent infrastructure platform - https://orgo.ai

Watch Corey's prior episode with Nick, co-founder of Orgo, referenced in this conversation - https://www.youtube.com/@coreyganim

Sidecar, Phil's managed AI agent service (Sidecar SMB, with an enterprise tier in development) - https://runsidecar.com

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Sidecar Website: https://www.runsidecar.com/

I'm Starting an AI Agency from Scratch (Episode 1)

Corey Ganim — Thu, 30 Jul 2026 00:15:00 +0000

Try Hyperagent for free ($1,000 free credits for first 1,000 signups): https://www.hyperagent.com/corey

Want the exact prompts I used to build these agents? Download them free here: Steal the 4 Exact Prompts I Used to Launch an AI Services Business From Scratch. Copy, paste into Hyperagent, and your lead gen + outreach agents are live today.

In this solo episode, I kick off a four episode series where I build an AI services business from scratch and prove exactly how many days it takes to land a paying client using 100% cold outreach, no audience, no network, and a hard cap of 60 minutes of work per day. I walk through why I'm targeting tree service companies in Charlotte, North Carolina, the dead-simple $500 offer I'm selling them (a website, an AI lead intake agent, and a Google Business Profile cleanup), and then build the first agent in the fleet live inside Hyper Agent, the Prospector, which scrapes the web, finds and cleans a full lead list, and gets our outreach machine ready to go. By the end of this episode, we have 98 verified leads, a live sales pipeline dashboard, and a full outreach script pack ready to start texting, calling, and knocking on doors in episode two.

Timestamps

00:00 - Intro: Proving Anyone Can Land an AI Client

01:24 - Series Constraints: Cold Outreach Only, 60 Minutes a Day

02:19 - Why Tree Services in Charlotte Are the Target Niche

03:35 - Backup Niches: Pressure Washing, Junk Removal, Driveways

04:02 - The Offer: $500 Website Plus AI Lead Intake Plus GBP Cleanup

05:07 - The 5-Agent Fleet Hyper Agent Will Give Away in Episode 4

05:55 - Agent 1: The Prospector, Scraping and Cleaning Leads

06:31 - Agent 2: The Opener, Writing Texts, Calls, and Replies

07:16 - Agent 3: SiteSmith, Building Free Lead-Magnet Websites

08:17 - Agent 4: The Fulfiller, Delivering the Paid Engagement

08:56 - Agent 5: Account Manager, the $100/Month Upsell

09:49 - What Each of the Four Episodes Will Cover

13:03 - Building the Prospector Agent Live in Hyper Agent

19:03 - Running the Lead Scrape in Plan Mode

21:03 - Hyper Agent Auto-Discovers a Marketplace Skill on Its Own

24:26 - 8 Sub-Agents Dispatched to Research Leads in Parallel

24:52 - Results: 494 Businesses Found, 98 Qualified, $151 in Credits Spent

25:56 - Touring the Leads' Broken, Missing, or Hijacked Websites

30:03 - Reviewing the Auto-Branded Live Pipeline Dashboard

31:29 - Building the Opener Agent and Its No-Pitch First-Text Rules

37:04 - The Finished Outreach Scripts and Objection Responses

41:38 - Episode 1 Recap and What's Coming in Episode 2

Key Points

The series has a strict scoreboard: the day counter only stops when a Stripe invoice is actually paid, not on a verbal yes, and every constraint (cold outreach only, 60 minutes a day) is designed to strip away any advantage so the process is copyable by anyone watching.

Tree services in Charlotte were chosen because the industry hasn't been consolidated by private equity, it's high ticket (multiple thousands per job), buyers often hire whoever picks up the phone first during emergencies, and most operators don't have a working website.

The offer is deliberately underpriced at $500 flat for a hosted website, a speed-to-quote AI lead intake agent, and a Google Business Profile cleanup, specifically so price can never be the reason the challenge fails.

Five agents get built across the series and given away free in episode 4: the Prospector (finds and cleans leads), the Opener (writes texts, call scripts, and objection replies), SiteSmith (builds the free lead-magnet websites), the Fulfiller (delivers the paid engagement end to end), and the Account Manager (a $100/month maintenance upsell).

The Prospector agent scraped 494 businesses, verified down to 98 qualified leads with mobile numbers and no working site, and did it by autonomously deploying 8 sub-agents to search different cities in parallel, all for about $151 in credits.

While building the plan, Hyper Agent independently found and installed a "Small Business Website Builder" skill from its own marketplace, without being asked, because it judged the skill relevant to the task.

The Opener agent's first-touch texts follow strict rules: under 160 characters, no links, no emojis, no mention of AI, websites, or marketing, signed only "Corey," written casually enough (using local phrasing like "y'all") to read as a neighbor texting, not a company pitching.

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Download the exact blueprint behind Nick’s always-on AI agent Dewey, with its own cloud computer, phone, email, payment card, and password vault and start texting your own in about two minutes (free).

LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim

How to make $5K per month per client selling managed AI agents

Corey Ganim — Mon, 27 Jul 2026 00:15:00 +0000

Nick and I both use Orgo to build and deploy our managed agents. If you use BOTH the following link and code COREY you'll get your first 3 days of Orgo free then 20% off your first 3 months. Orgo - Computers for AI agents | Orgo

Nick Vasilescu is back on the pod, and this time he's showing exactly how his personal AI agent, Dewey, is running his managed agent business for him. I sat down with Nick, co-founder of Orgo, to break down how Dewey builds, deploys, and even supports client agents inside Slack and iMessage with zero hands-on work from Nick. We get into the full 80/20 tech stack he uses (harness, model, computer, memory, connectors), how he closed another $5K/month client and had their agent live within 48 hours of the wire hitting his account, and the B2B2B insight that's making these deployments sticky: building an agent for a client that they then resell to their own customers. By the end of this episode, you'll understand exactly what tools to stack together to build your own AI employee and how to turn that into a productized, recurring managed agent business.

Timestamps:

00:00 - Intro & What You'll Learn From This Episode

01:29 - Meet Dewey, Nick's Personal AI Agent

02:03 - Watching Dewey Onboard a Client Agent Into Slack Live

04:00 - Hermes Maker Hiring Forward Deployed Engineers Signals Opportunity

09:02 - Orgo Elevator Pitch: Purpose-Built Cloud Computers for Agents

12:05 - Orgo Discount Code: 3 Days Free + 20% Off 3 Months

13:02 - Spinning Up Agents From Templates With the Nick Stack

15:32 - Productizing Agents So You're Not Rebuilding From Scratch

19:50 - Why a Client Pays $5K a Month for a Managed Agent

22:56 - The B2B2B Model: Reselling the Agent to Your Client's Customers

27:22 - Breaking Down the Full Agent Stack: Harness, Model, Computer, Memory & Connectors

33:01 - From Paid Invoice to Live Agent in 48 Hours

36:24 - Turning a Granola Call Transcript Into Agent Skills

39:27 - Why Paid Assessments Are the Perfect Lead-In Offer

41:02 - Where to Find Nick & Follow His Work

Key Points

The service layer of deploying AI agents into businesses is the real opportunity right now. Hermes's creators are hiring forward deployed engineers to deploy agents into enterprise, which validates that this is a venture-scale market — and the SMB and mid-market tier beneath enterprise is wide open.

Dewey, Nick's personal agent, does the actual fulfillment work: he builds client agents from scratch, onboards them into Slack, texts customers on iMessage to fix issues, and manages the entire agent fleet without Nick touching a keyboard.

Newer models are increasingly choosing computer use over MCPs or connectors because they're trained on human behavior — they operate a full desktop the way a person would, which is why Orgo gives agents a real computer instead of a headless sandbox.

Nobody pays $5K a month for a managed agent unless it makes them money. The unlock isn't always a direct-revenue agent like sales or speed-to-lead — it can be a B2B2B model where you build the agent for a client, and they productize and resell it to their own customer base, creating true stickiness since their revenue now depends on your infrastructure.

The core agent stack breaks down into a harness (OpenClaw or Hermes) powered by a model (Grok or GPT-5.6), running on a persistent computer (Orgo), with its own email and phone (Agent Mail, Agent Phone), a knowledge base (Obsidian), persistent memory (Honcho.dev), and tool connectors (Composio).

Speed to value matters enormously: the same day a client wires their first payment, their agent should already be live and something should be visibly built for them — that immediate reciprocity builds trust fast.

Building is commoditized. The real skill today is asking the right discovery questions, understanding a client's workflow, and knowing which tools to hand off to your agent — which is exactly why paid audits and assessments work so well as a lead-in offer.

The Agent Bundle - bundle of Agent Card, Agent Mail, and Agent Phone (plus an Orgo computer) for around $20/month, from the "agent mafia" - https://www.theagentbundle.com

Honcho.dev - managed persistent memory layer so an agent remembers context across Slack, Telegram, and every other channel - https://www.honcho.dev

Composio - free tool connector layer that gives agents read/write access to Gmail, calendars, and other platforms - https://composio.dev

Higgsfield - AI creative generation tool Dewey uses to make thumbnails and short explainer videos - https://higgsfield.ai

vidIQ - YouTube research tool Dewey uses to find high-performing videos and build winning thumbnails - https://vidiq.com

Latitude.so - observability platform for monitoring agent conversations and catching customer sentiment issues - https://latitude.so

Obsidian - knowledge base tool Nick wires into his agent's stack - https://obsidian.md

Apify - scraping connector used to source leads that get enriched via Clay - https://apify.com

Clay - lead enrichment platform connected via MCP - https://www.clay.com

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YouTube: https://www.youtube.com/@nickvasiles

Website: https://www.orgo.ai

The 3 Levels of AI Automation (full playbook)

Corey Ganim — Thu, 23 Jul 2026 00:15:00 +0000

In this episode, I sit down with Greg and give away the entire playbook behind our AI Tools Assessment offer, the simplest AI-powered business model you can start in 2026 with zero AI skills, zero audience, and zero capital. I walk through the exact four-phase process we use to run a $999 assessment for small business owners, the client-facing report template (which you can download for free), and the six-item upsell menu that turns a $999 foot-in-the-door offer into $3K, $5K, and $10K+ engagements. I also break down my current AI Concierge retainer, which is generating me over $1,000 an hour, and the seven no-capital, no-audience client acquisition methods I'm using right now to fill my pipeline. By the end of this episode, you'll have the full stack: the offer, the fulfillment process, the upsells, and how to actually go get clients.

Grab the free AI Tools Assessment report template (built in Claude Design, plug-and-play for your own clients): https://audittemplate.ai

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

Timestamps

00:00 - Intro: The Simplest AI Business Model of 2026

02:00 - Why Give Away the Entire Playbook (Blue Ocean Opportunity)

03:30 - The AI Tools Assessment Offer Explained ($999, 45 Mins)

05:00 - The 5-Hour Guarantee & Average Client Results

09:00 - Phase 1: The Discovery Call & The Magic Wand Question

13:00 - Phase 2: Feeding the Transcript to Claude for Tool Research

15:00 - Quality Assurance & Making Judgment Calls

18:00 - Best Tool Directories: Futurepedia & There's An AI For That

19:30 - Phase 3: Building the Client Report in Claude Design

24:00 - Free Download: The AuditTemplate.ai Report Template

27:30 - The Effort vs. Impact Matrix & Quick Wins

32:00 - Why Most Recommendations Are Simple SaaS Tools (Not Big AI)

34:00 - Phase 4: The Review Call & The 3 Closing Questions

37:30 - Upsell 1: Process Redesign (Fixing Broken Workflows First)

39:00 - Upsell 2: Simple Zapier, Make & n8n Automations

41:00 - Upsell 3: Knowledge Systems (The Business Broker Example)

43:30 - Upsell 4: Custom Claude Skill Workflows & Retainers

46:00 - Upsell 5: Full Implementation Packages

47:30 - 7 Ways to Find Clients With No Capital or Audience

59:30 - The AI Concierge Offer: $1,000+/hr Done-With-You Consulting

1:05:00 - The AOA Framework: Audit, Optimize, Automate

1:07:00 - Why Niching Down Is the Key to Pricing Power

1:09:00 - Wrap-Up

Key Points

The AI Tools Assessment is a $999, 45-minute structured interview where you prescribe three to seven off-the-shelf AI tools that reclaim at least five hours a week for the client, backed by a 100% money-back guarantee if you can't find that time.

The fulfillment process is four phases: a recorded discovery call to surface pain points, feeding that transcript to Claude to research matching tools, building a templated client report in Claude Design, and a review call that ends with three closing questions to surface the upsell.

A confused mind doesn't buy, doesn't implement, and doesn't upsell. The report is built around an effort versus impact matrix that isolates "quick wins," a four-day quick start plan, and a financial impact slide that shows exact monthly ROI.

There are six upsells after the assessment: process redesign, simple automation builds, knowledge systems, custom Claude skill workflows, retainers, and full implementation packages, with average tool costs around $60 a month against thousands of dollars in monthly ROI.

Seven ways to find clients without capital or an audience: hosting a local AI meetup, door knocking, LinkedIn DMs that lead with pain instead of pitching, free mini-audits for your network, agency referral partnerships, AI office hours at co-working spaces, and posting your wins publicly.

The AI Concierge offer is two 45-minute monthly calls plus Voxer access, teaching clients to use Claude Cowork and build their own Claude skills. It closed five of the first six people pitched and hit 8K MRR in ten days.

Crediting the $999 assessment fee toward a bigger upsell, while quietly marking the upsell up to stay profitable, is one of the most effective ways to get a prospect off the fence.

Links mentioned:

Futurepedia.io, a large AI tool directory recently acquired by HubSpot - https://www.futurepedia.io

TheresAnAIForThat.com, an AI tool directory searchable by industry - https://theresanaiforthat.com

Gamma, the tool used early on to build assessment reports - https://gamma.app

Claude, used to research tools from the discovery call transcript and to build client-facing skills - https://claude.ai

Audittemplate.ai, free download of the exact AI Tools Assessment report template used in Claude Design - https://audittemplate.ai

Fathom, the AI note taker used to record and transcribe discovery calls - https://fathom.video

Sanebox, the most-prescribed tool for getting clients out of email overload - https://www.sanebox.com

Zapier, used for simple one-to-three-step automation builds - https://zapier.com

Make, used for automation builds as an alternative to Zapier - https://www.make.com

n8n, another automation platform used for client workflow builds - https://n8n.io

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The Ultimate AI Services Free Course ($0-$10K in 30 Days)

Corey Ganim — Mon, 20 Jul 2026 15:37:20 +0000

Download the full AI Services Resource Library including every resource mentioned in this episode (free): Steal the Entire AI Services Resource Pack

This is the full AI services business course, A to Z, completely free. I walk through exactly how I built a business that hit $8,000 in MRR in 10 days and now generates over $1,000 an hour, starting with one lunch conversation with a commercial real estate broker who offered to pay me to find AI opportunities in his business. I break down the entire three-offer ladder: the free mini assessment that gets you in the door, the $999 paid AI tools assessment, and the AI Concierge retainer that's now the majority of my personal income. You'll see the exact scripts, the Claude skills, the Notion and JotForm templates, and the pricing psychology behind all of it. By the end of this episode, you'll have a full playbook to go from zero to your first $5,000-$10,000 in revenue in 30 days.

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

Timestamps

00:00 – Intro and the AI Concierge origin story

02:24 – The AOA framework: Audit, optimize, automate

04:43 – The three-offer ladder overview

07:06 – How the free mini assessment works

09:31 – The magic wand question

14:20 – Prescribing the right tool and teeing up the upsell

19:04 – Building a voice agent to run assessment interviews

21:26 – Using a Claude skill to score pain points and tools

23:47 – Inside the six-part assessment report

31:01 – Why $1,000 is the minimum assessment price

33:25 – Defining the AI Concierge retainer offer

40:30 – Automating the concierge backend with Claude skills

52:25 – Four ways to find your first clients

01:04:08 – The 30-day plan to your first $5K–$10K

Key Points

Every AI implementation has to pull one of three ROI levers: effectiveness, meaning it makes you more money, efficiency, meaning it saves you time, or quality, meaning it improves your product, service, or customer experience. If it doesn't hit one of those, it's not worth doing.

The AOA framework governs everything: audit the process as it's done manually today, optimize by cutting the fat, and only then automate. Business owners who skip straight to automate usually fail because they never simplified the process first.

The free 15-minute mini assessment is the tripwire offer. Ask about repetitive tasks, friction points, and hourly value, then close with the magic wand question. Done right, this converts 30-50% of people into the $999 paid assessment.

Never charge less than $1,000 for the paid AI tools assessment. Pricing it at $200 and then $500 still got yeses, but clients didn't take the recommendations seriously until the price hit $1,000 and they had real financial skin in the game.

The AI Concierge retainer runs $1,000-$2,000 a month for two 45-minute working sessions, and Corey's blended hourly rate across his five current clients comes out to roughly $1,250 an hour.

Four Claude skills automate the entire concierge backend, intake to project files, call update, follow-up email, and an orchestrator called AI Concierge Post Call that chains the last two together, cutting admin work down to under five minutes per client per week.

Both the assessment and the concierge offer run at about 99.8% net margin since the only real cost is a $20-a-month Claude subscription.

Links Mentioned: AI Tools Assessment Report Template: https://audittemplate.ai SaneBox: https://sanebox.com Futurepedia: https://futurepedia.io There's An AI For That: https://theresanaiforthat.com

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Best AI startup idea of 2026 (I'm making $1,000/hour with it)

Corey Ganim — Thu, 16 Jul 2026 00:15:00 +0000

Grab the Free report template: https://audittemplate.ai
Grab the full Excalidraw diagram: AI Assessment framework (public) — Excalidraw Plus

This is the full AI assessment masterclass. I walk through the four phases of the $999 AI tools assessment, the expansion menu of services you can sell after, seven ways to find clients without spending any money, and then the AI concierge upsell that is generating over a thousand dollars an hour for me right now. I have five clients on the concierge offer paying between twelve hundred and two thousand dollars a month each for two 45-minute calls. That is the entire deliverable. This episode gives you the full playbook end to end so you can go do this yourself.

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

Timestamps

00:00 – Intro: The full AI assessment masterclass

00:30 – What is the AI tools assessment and how does it work?

01:30 – Phase 1: The 45-minute discovery call and key questions to ask

02:24 – Phase 2: AI analysis, Claude finds 3-7 tools from the transcript

03:30 – Using Futurepedia and There's an AI for That to fill gaps

04:00 – Phase 3: The report, nine slides in Claude Design

04:54 – Effort versus impact matrix, quick wins, financial impact

05:30 – Phase 4: The review call, walking through the report

06:00 – Three closing questions that convert 50-60% into paid work

06:30 – The expansion menu: what to sell after the assessment

07:00 – Process redesign at $3,000–$3,500

07:30 – Automation builds at $1,000–$7,000

08:00 – Knowledge systems at $3,000 with the business broker example

09:40 – Custom workflows: prompt packs, skill packs, templates at $3,000–$5,000

10:00 – Full implementation at $5,000–$10,000+

10:30 – Seven ways to sell with no money and no audience

11:00 – Method 1: Host a local AI meetup

12:07 – Method 2: Door knock 30 businesses, the DM success story

13:00 – Method 3: LinkedIn DMs targeting CEOs with 10-50 employees

13:30 – Method 4: Free audits to your existing network

14:20 – Method 5: Agency partners, become the AI guy for your CPA

15:30 – Method 6: Free AI office hours at a co-working space

16:44 – Method 7: Post your wins on LinkedIn

18:00 – The AI concierge offer: done-with-you consulting at $1,200–$2,000/month

19:10 – The math: $750–$1,250 per hour effective rate

20:00 – Call 1: Onboarding to Claude Cowork with the plugin

21:00 – Every call after: AOA on their workflows one at a time

21:32 – What makes it feel premium: onboarding form, Notion hub, Voxer

23:56 – Why this is the best AI startup idea of 2026

Key Points

The AI tools assessment is the front door. For $999, you sit down with a business owner for 45 minutes, pull out their pain points, have Claude find three to seven off-the-shelf tools, and deliver a nine-slide report. Fifty to sixty percent of the time, they want paid help implementing what you prescribed.

The four phases are discovery call, AI analysis, report delivery, and review call. Phase two is where Claude does the heavy lifting by analyzing the transcript and finding tools. Phase four is where you close by asking which recommendation is most urgent, whether they want help, and what their timeline is.

The expansion menu has five tiers: process redesign at three to three and a half thousand, automation builds at one to seven thousand, knowledge systems at three thousand, custom workflows at three to five thousand, and full implementations at five to ten thousand or more.

Seven ways to sell with no money and no audience: host a local AI meetup, door knock local businesses, LinkedIn DMs targeting CEOs, free audits to your existing network, agency and referral partners, free AI office hours at a co-working space, and post your wins consistently on LinkedIn.

The AI concierge is the highest dollar-per-hour offer. Two 45-minute calls per month at twelve hundred to two thousand dollars a month puts your effective hourly rate between $750 and $1,250. With five clients, total admin outside the calls is almost zero thanks to Claude skills that handle follow-up emails and Notion updates.

The Notion hub is the renewal engine. After every call, a Claude skill logs the top three takeaways, action items, and an inventory of everything built. When the client looks at that ledger, they see undeniable value and keep renewing.

Voxer is the high perceived value bonus that almost nobody uses. Five clients over three months generated a total of four Voxer messages. The 12-hour SLA makes it feel premium without adding real workload.

Links Mentioned:

Futurepedia: https://www.futurepedia.io
There's an AI for That: https://theresanaiforthat.com
Fathom: https://fathom.video Voxer: https://www.voxer.com

If this episode was valuable to you, it would mean a lot if you left a rating and review on Apple Podcasts or Spotify. It helps more entrepreneurs find the show.

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The single best way to get leads for your AI services business (full guide)

Corey Ganim — Mon, 13 Jul 2026 00:15:00 +0000

Grab the AI for Business Meet up Prompt (free)

This is the full playbook for hosting a local in-person AI for business meetup that generates leads and clients for your AI services business. I modeled this on my friend Andrew Hewitt's Triad Dev Connect event, which has generated eighty thousand dollars in attributed revenue over seven months at a cost of about four thousand dollars per year. I adapted his model for non-technical business owners and had Claude generate a single prompt that produces every deliverable from venue research to follow-up sequences to a full operating SOP. I walk through the entire prompt and every phase of the plan in this episode. The prompt is free in the description if you want to grab it and run it yourself.

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

Timestamps

00:00 – Intro: How to use the AI prompt

01:00 – The Quarterly Rock: 3 events & closing a client by September

02:21 – The Strategy: Why this event exists (Leads, authority, & content)

03:30 – Target Audience (ICP): Reaching non-technical business owners

04:47 – Case Study: How Andrew made $80K from a monthly meetup in 7 months

07:30 – Phase 1: Venue research & the perfect pitch email

09:31 – Phase 2: Designing a high-impact 90-minute event format

10:30 – The Soft CTA: Pitching the free 15-minute AI assessment

12:30 – Phase 3: Marketing through local Facebook groups

14:17 – The Co-Host Strategy: Partnering with Facebook group owners

16:00 – Phase 4: Setting up Luma for lead capture & attribution

16:35 – Phase 5: Email follow-up sequences based on lead temperature

18:30 – Phase 6: Team execution & Standard Operating Procedures (SOPs)

19:01 – Phase 7: The Playbook Call with an active organizer

19:30 – Phase 8: Building a Scoreboard for weekly & monthly metrics

21:27 – Outro: Download the prompt for free!

Key Points

The entire event playbook is generated from a single Claude prompt. You give Claude the context about who you are, what you sell, and what your quarterly goal is, and it produces every deliverable: venue research, event format, marketing plan, follow-up sequences, attribution system, operating SOP, and a scoreboard.

The model is proven. Andrew Hewitt's Triad Dev Connect in Winston-Salem has generated eighty thousand dollars in directly attributed revenue over seven months at a cost of about four thousand dollars per year. That works out to roughly eleven thousand dollars a month from one monthly event.

The ICP is non-technical business owners. Every talk, demo, post, and email must pass the non-technical test. If a slide has code on it, that speaker does not speak. There is already a large developer-focused meetup in Charlotte, which means there is a massive gap for this audience.

The marketing engine relies on local Facebook groups. Claude found nine Charlotte business groups with tens of thousands of members. The strategy is to join the groups, introduce yourself, then promote the event with three distinct post variations. The highest leverage move is getting one Facebook group owner to co-host and drive traffic.

Attribution is built into the Luma registration. Three simple questions capture what the attendee does, what they want AI to fix, and how they heard about you. That data triages everyone into hot leads for services, warm leads for the community, nurture contacts for the newsletter, and no-shows who get a recap email and next month's date.

The rock measurables keep it accountable: three events held this quarter, at least 25 attendees by the third event, full attribution tracking from event one, and at least one closed AI concierge or services client by September 30th.

The operating SOP means you only do the heavy lift once. Claude produces a checklist from five weeks out to two days out covering everything from venue confirmation to post-event data entry. After event one, the team runs event two and three with zero input from you.

Links Mentioned
Luma: https://lu.ma

If this episode was valuable to you, it would mean a lot if you left a rating and review on Apple Podcasts or Spotify. It helps more entrepreneurs find the show.

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The AI Operating System that sells itself (zero delivery work)

Corey Ganim — Thu, 09 Jul 2026 00:15:00 +0000

Justin Brooke from Agent Skills is back on the podcast, and this time he walks us through the full business model behind selling AI systems as zip files with zero delivery work. His system is called CMO HQ, a marketing and sales operating system built entirely out of folders and markdown files that works with any AI, whether it is Claude, ChatGPT, Hermes, Codex, or anything else. The delivery model is dead simple: the customer buys from a sales page, receives a zip file with an operations manual and an installer dot MD file, hands that file to their AI of choice, and the AI builds out the entire system for them. No onboarding calls, no Loom walkthroughs, no custom setup. Justin shows us the full folder structure, the finance layer, a live content pipeline, and the actual installer file on screen.

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

Timestamps

00:00 - Intro: Justin Brooke is back

00:23 - What CMO HQ is and why it works with any AI

01:23 - The folder structure: HQ, brands, finance, shared

03:30 - Brands folder: one per brand with intelligence, departments, and metrics

04:10 - The finance folder and why it matters for true marketing metrics

05:14 - The installer.md file that builds the whole system

05:45 - Why this is the simplest marketing OS out there

05:50 - Inside the finance folder: revenue, expenses, economics, reporting

06:48 - Connecting Google Ads, Kit, Thrivecart, and Xeny for full-picture data

07:56 - Building in iCloud for access from any device

09:27 - Marketing departments: paid, earned, and owned channels

10:00 - The sacred pipeline: active to review to publish

11:06 - Live example: faith-based niche site blog post end to end

13:30 - Automated performance reporting via MCP connections

15:18 - Why Justin does everything in Claude Cowork, not Claude Code

15:45 - How to sell any AI-generated asset to clients

16:25 - The delivery problem and why folders and files solve it

17:24 - The two-file delivery: operations manual plus installer.md

19:13 - Session transfer documents and how the system started

20:19 - Changelog.md for tracking business decisions

20:46 - The jobs to be done framework for building any system

22:01 - Jobs equal folders, instructions equal markdown files, which equal skills

23:26 - Why the nerds who want to build it themselves are not your customers

24:33 - Step one: jobs to be done, then vibe with Claude to build folders

26:00 - Three things every agent needs: memory, instructions, tools

26:18 - Why you should use a slide deck on every sales call

28:25 - The installer file walkthrough on screen

30:27 - Why this means zero delivery work

31:14 - Where to find Justin and Build Club

32:22 - Justin hangs out mostly on Twitter

Key Points

The entire system is folders and markdown files. No code, no complex frameworks, no platform lock-in. It works with Claude, ChatGPT, Hermes, Codex, or any other AI because all of them can read folders and files.

The delivery model eliminates all fulfillment work. Customers buy from a sales page, receive a zip file containing an operations manual and an installer dot MD file, hand that installer to their AI, and the AI builds out the entire system. No calls, no custom setup, no support tickets.

The installer dot MD file is the key innovation. It contains a greeting, an interview section that asks the customer about their business, and then the full folder structure with instructions. The AI reads it and builds everything automatically in one session.

CMO HQ has four main sections: an HQ folder for personal and business identity, a brands folder with one subfolder per brand containing intelligence, departments, and metrics, a finance folder that connects to accounting and ad platforms for real financial reporting, and a shared folder for team collaboration.

The jobs to be done framework is how you replicate this for any niche. Figure out what jobs need to be done in a business, make a folder for each job, put instructions in each folder, and you have a sellable system. Dentists, lawyers, agencies, any vertical works the same way.

Three things every agent needs: memory so it knows what happened, instructions so it knows what to do, and tools so it can do the work. If you have those three things in folders and files, you can handle any job.

The sales advice is simple and powerful: stop doing calls on the fly and use a slide deck for every sales call. It keeps you on pace, makes every call uniformly good by the fifth or sixth time, and becomes the training material when you hire a salesperson.

Links Mentioned

Agent Skills / Build Club: https://agentskills.ai Jake Van Cleef (ICM system and folders-and-files research): mentioned, search YouTube Ghost CMS: https://ghost.org 11 Labs: https://elevenlabs.io

If this episode was valuable to you, it would mean a lot if you left a rating and review on Apple Podcasts or Spotify. It helps more entrepreneurs find the show.

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FIND JUSTIN ON SOCIAL

X/Twitter: https://x.com/agentskills_ai
https://x.com/IMJustinBrooke

Agent Skills: https://agentskills.ai

Don't start an AI automation agency in 2026 (do this instead)

Corey Ganim — Mon, 06 Jul 2026 00:15:00 +0000

Grab the assessment report template I use to deliver $999 AI assessments (free): https://audittemplate.ai/

Grab the full Excalidraw diagram I show in this video depicting the AI Offer Ladder: https://app.excalidraw.com/l/4z8Z2Lyybfg/8FAvEjYbuGc

This is the full AI offer ladder that I use to sell AI services, from a free mini assessment all the way up to a two thousand dollar per month concierge retainer and beyond. I walk through all three tiers of the ladder step by step: the free mini assessment that converts thirty to fifty percent of the time, the paid assessment that we charge $999 for, and the AI concierge model that is my primary income source right now. I also cover four à la carte builds you can sell on top of the ladder, with real examples and exact pricing from engagements we have actually closed. If you want theof this offer ladder plus the assessment report template, both are linked below for free.

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

Timestamps

00:00 – Intro: The three components of the AI offer ladder
00:30 – The free mini assessment: What it is and how it works
01:00 – Three levers of ROI: Effectiveness, efficiency, and quality
01:30 – Meeting one: Discovery call and the magic wand question
02:00 – Meeting two: Prescribing the fix
02:21 – Download the Excalidraw diagram for free
03:00 – Off-the-shelf tool vs. Claude Cowork vs. Claude skill: When to prescribe each
04:00 – Closing the free assessment: Gauging appetite for paid help
04:30 – Conversion data: 30 to 50 percent of free assessments convert to paid
04:44 – Step Two: The paid assessment at $999
05:30 – Annie: The voice agent that conducts the 45-minute interview
06:30 – Building the report in Claude Design
07:06 – Six parts of the paid assessment report
07:30 – The effort versus impact matrix and quick wins
08:30 – Quantifying ROI: Hourly Rate × Hours Saved − Tool Cost
09:29 – The 30-minute walkthrough call and the upsell moment
10:00 – Pricing progression: Free to $200 to $500 to $1,000
10:30 – Step Three: The AI concierge retainer
11:57 – Effective hourly rate: At $1,500/month is $1,000/hour
12:30 – JotForm intake as a hard requirement before call one
13:30 – Framework: AOA (Audit, Optimize, Automate)
14:06 – The call cadence and Voxer between sessions
15:30 – The Notion Hub as a renewal mechanism
16:26 – Two Claude skills that fill out Notion and draft follow-up emails in 30 seconds
17:00 – Concierge pricing: $1,000 to $2,000/month, capping at six clients
18:00 – À La Carte Build 1: Process optimization at $3,000 to $5,000
19:30 – À La Carte Build 2: Zapier or Make automation at $1,000 to $5,000
20:00 – À La Carte Build 3: Knowledge system or custom GPT at $3,000
21:00 – Case Study: Business broker custom GPT that cut 400 emails to 10
22:00 – À La Carte Build 4: Speed to lead agent
23:36 – Wrap-up and where to get the diagram and template

Key Points

The offer ladder has three tiers that build on each other. A free fifteen-minute mini assessment identifies one pain point and prescribes one tool. Thirty to fifty percent of those convert into a paid assessment at $999 that uncovers three to seven opportunities and delivers a full report. From there, clients can upsell into AI concierge at one to two thousand dollars a month.

The free mini assessment is a two-meeting process. Meeting one is pure discovery for fifteen minutes. Between calls you research the bottleneck and find a tool. Meeting two you prescribe the fix and gauge appetite for paid help with three simple questions.

The paid assessment report has six parts: executive summary, effort versus impact matrix, recommended tool stack, four-day quick wins plan, upsell opportunities for heavier builds, and a financial ROI slide that quantifies their monthly savings in dollars.

The AI concierge model is two 45-minute calls per month where you run the AOA framework on every bottleneck: audit the manual process, optimize by cutting unnecessary steps, automate with a Claude skill. Two Claude skills handle the entire back end in thirty seconds.

The math on concierge is compelling. At $1,500 per month for ninety minutes of call time, the effective hourly rate is $1,000 per hour. Capping at six clients means the maximum workload is nine hours of calls per month.

Four à la carte builds can stack on top of the ladder: process optimization at three to five thousand dollars, Zapier or Make automation at one to five thousand, knowledge system or custom GPT at three thousand, and speed to lead agents that drive revenue directly.

Links Mentioned

Futurepedia: https://www.futurepedia.io
There's an AI for That: https://theresanaiforthat.com
JotForm: https://www.jotform.com
Voxer: https://www.voxer.com
Fathom: https://fathom.video

If this episode was valuable to you, it would mean a lot if you left a rating and review on Apple Podcasts or Spotify. It helps more entrepreneurs find the show.

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Charge $999 to audit businesses with AI

Corey Ganim — Thu, 02 Jul 2026 00:15:00 +0000

Grab the exact template I use to deliver the $999 AI audits here (free): https://corey-ganim.kit.com/fd0829de10

This is the actual AI tools assessment template that we deliver to clients after a $999 audit. Nine slides, built from scratch in Claude Design, walked through one by one so you can see exactly what goes on every slide and why. I cover the effort versus impact matrix, the tool stack recommendations, the four-day quick wins plan that gets clients to implement at least half the report in under a week, and the financial impact slide that shows them their monthly ROI in dollars. I also show you exactly how the assessment sets up the upsell into bigger projects, and at the end I give you the actual template file so you can duplicate it in Claude Design and start using it with your own clients.

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

Timestamps

00:00 – Intro: The real AI tools assessment template

00:30 – Building the template in Claude Design and why we canceled Gamma

01:00 – How to auto-fill the template by dropping in a client transcript

01:30 – Slide 1: Title slide and the tweaks menu in Claude Design

02:00 – Slide 2: Executive summary with primary pain point and outcome

02:24 – The three levers of ROI: Effectiveness, efficiency, and quality

02:50 – Slide 3: The effort versus impact matrix

03:30 – Quick wins, fill-ins, major projects, and what to ignore

04:44 – Slide 4: Quick wins summary with pain point to tool mapping

05:30 – Slide 5: The full tool stack with cost, setup time, and time saved

06:30 – Slide 6: The four-day quick wins plan

07:02 – Why the four-day plan prevents implementation paralysis

07:30 – Slide 7: What comes after quick wins and the major projects upsell

08:30 – How to tee up the upsell on the review call

09:00 – Slide 8: Financial impact and the monthly net ROI calculation

09:20 – The ROI formula: Weekly Hours Returned × Hourly Rate − Tool Cost

10:30 – Slide 9: Next steps and the review call booking

11:00 – Three questions that close 50 percent of upsells on the review call

11:43 – How to duplicate the template in Claude Design using the HTML file

12:30 – Sixty seconds to a fully imported template

Key Points

The assessment template is nine slides built in Claude Design. You can drag and drop a client transcript into the Claude Design chat and it will auto-fill the entire template for you, making this nearly plug and play.

The effort versus impact matrix is the light bulb moment for clients. It sorts all recommendations into four quadrants: quick wins that are high impact and low effort, fill-ins, things to ignore, and major projects that become your upsell opportunities.

The tool stack slide is where you spend most of the review call. Each recommendation shows the pain point, the tool, a brief description, the monthly cost, setup complexity, and estimated weekly time saved.

The four-day quick wins plan prevents implementation paralysis. Instead of overwhelming clients with six recommendations, you give them four things to do in four days that capture at least fifty percent of the report's value.

The financial impact slide makes the ROI undeniable. Take the weekly hours returned times the client's self-reported hourly rate times four, then subtract the total monthly tool cost. A typical result: five hours per week at a hundred dollars per hour minus fifty dollars in tools equals $1,950 per month in net ROI from a $999 assessment.

The major projects slide is the upsell. High impact, high effort solutions that need custom builds like Zapier automations, AI agents, or knowledge bases. On the review call, three simple questions close over fifty percent of clients: do you want my help implementing these, which will you tackle first, and how urgent is it.

Links Mentioned: Claude Design: https://claude.ai SanBox: https://www.sanebox.com Fathom: https://fathom.video

If this episode was valuable to you, it would mean a lot if you left a rating and review on Apple Podcasts or Spotify. It helps more entrepreneurs find the show.

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How I run an $8K/month AI business in 5 minutes a day (full breakdown)

Corey Ganim — Mon, 29 Jun 2026 00:15:00 +0000

Grab the free AI Concierge playbook including the full offer and fulfillment process:https://corey-ganim.kit.com/cde665995b

This is the full AI concierge business model broken down step by step. You are going to see everything from the intake form to the Notion hub to the Claude skills that handle all the follow-up work in thirty seconds. I walk through the exact process I use with real clients: how to onboard them, how to run the first call, how to automate the entire back end, and how to earn the renewal without ever having to sell them again. Outside the calls themselves, I spend less than five minutes per client. This is the full playbook.

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

Timestamps

00:30 – Step 1: land the client from the AI assessment upsell
01:00 – Step 2: send the JotForm intake form before the first call
02:17 – The tool stack and team questions
03:00 – The outcomes section: what does winning look like in 90 days
04:00 – No form, no call: why the intake form is non-negotiable
04:36 – Step 3: the Notion hub walkthrough
06:00 – Open action items and the call log
07:00 – Tools and skills built on this call: the most important section
08:00 – How this works section and the 12-hour Voxer SLA
09:05 – Step 4: conducting the first strategy call
09:30 – Track 1: onboarding clients to Claude Cowork with the plugin
11:29 – Track 2: running AOA on the biggest bottleneck
12:00 – AOA framework: audit, optimize, automate
13:55 – Step 5: running the back-end skills in thirty seconds
14:30 – AI Concierge Follow-Up Email skill
15:00 – AI Concierge Call Update skill for Notion
15:30 – AI Concierge Post-Call orchestrator skill
16:14 – The follow-up email draft and one-click send
17:00 – Less than five minutes of post-call admin work
17:30 – Step 6: mind the gap, Voxer between calls
18:00 – Step 7: call two and beyond, stacking the build list
18:33 – Doubling the price for weekly call cadence
19:00 – Step 8: earning the renewal, the ledger does the talking
19:30 – The free checklist and AI Operator Academy

Key Points

The AI concierge model starts with a $999 AI assessment that upsells into an ongoing retainer. The intake form in JotForm acts as a mini audit so you arrive at the first call with a game plan instead of spending thirty minutes figuring out where to start.

The Notion hub is the single source of truth for every client engagement. After each call, a Claude skill automatically fills in the top three takeaways, action items, and a detailed list of every tool and skill built on that call. That build log is the most important retention mechanism in the entire model.

The AOA framework drives every strategy call: audit the process by having the client share their screen and show you the manual workflow, optimize by cutting unnecessary steps, then automate by turning it into a Claude skill or handing it to Cowork. Most clients hit their 90-day goal by call two or three.

Three Claude skills handle the entire back end. AI Concierge Follow-Up Email drafts a recap email to the client. AI Concierge Call Update fills out the Notion hub from the call transcript. AI Concierge Post-Call runs both in parallel. Total time after each call is less than five minutes.

The renewal sells itself. The build log inside Notion shows the client in unmistakable detail what they got for their money. You never have to pitch the renewal because the ledger does the talking.

Between calls, Voxer is the async communication tool with a 12-hour SLA. Responding faster than promised is the easiest way to over-deliver and keep clients feeling supported.

Links Mentioned: JotForm: https://www.jotform.com Notion: https://www.notion.so Fathom: https://fathom.video Voxer: https://www.voxer.com

If this episode was valuable to you, it would mean a lot if you left a rating and review on Apple Podcasts or Spotify. It helps more entrepreneurs find the show.

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How I sell AI second brains for $5K each (full blueprint)

Corey Ganim — Thu, 25 Jun 2026 00:15:00 +0000

Grab Adam's free build guide for building, packaging, and selling your first AI knowledge base: https://corey-ganim.kit.com/a49b7bd19d

Adam Sandler from Viable Edge is back on the pod, and this time he walks through the full blueprint for selling AI-powered knowledge bases as a service. The pitch to clients is simple: I will clean up all of your company knowledge, organize it, structure it, and turn it into a living asset that powers every AI tool you use going forward. No Obsidian, no RAG, no vectors. Just markdown files on a local machine. Adam builds the whole thing live on screen using Claude Code with a fictional company, shows the seven note types every knowledge base needs, and breaks down the pricing tiers from a $750 audit to a $4,700 premium build. The real insight is that the knowledge base is not the end product. It is the foundation that opens the door to every future engagement with that client.

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

Timestamps

01:18 – Why Adam leads with the knowledge base on every engagement
02:55 – Knowledge base as a tripwire offer, same concept as the AI audit
04:12 – The pitch: clean up your company knowledge and make it a living asset
04:57 – You don't need Obsidian or RAG to start, markdown files are enough
06:12 – Why a provider-agnostic knowledge base protects clients from platform risk
07:00 – Token cost savings as a selling point for teams and enterprise
08:45 – Anthropic enterprise going to pay-as-you-go and why that matters
09:34 – The seven durable note types every knowledge base needs
13:19 – How the seven types simplify the what do I include question
14:13 – The spine concept: one foundational schema everything ladders up to
15:58 – Module-by-module walkthrough of Adam's mini course
16:58 – No client needs to touch Claude Code, this works in Cowork
18:06 – Coaching moments as value-adds during the build
18:29 – Live build: establishing the foundation with discovery prompts
20:16 – The discovery questions mapped to the seven note types
22:00 – Applying structure: from raw answers to schema
25:31 – Summary of the build process so far
27:01 – How to maintain the knowledge base after the initial build
27:38 – Pricing: audit, core build, and premium build tiers
29:09 – The knowledge audit as a foot-in-the-door offer
30:10 – Positioning options: department-by-department builds for larger clients
30:52 – The first knowledge base files and the index file
34:50 – Three layers of context: hot, durable, and disposable
35:47 – Setting up Cowork global instructions to recognize the knowledge base
38:33 – The ingest skill: automating information intake from multiple sources
39:47 – The curate skill: weekly health checks on the vault
41:26 – Provider portability as a major selling point
42:18 – Handling sensitive client information
43:41 – Upselling from the knowledge base: let the data tell you what to build next
46:16 – Light bulb moment: the knowledge base recommends its own next project
47:08 – Value-add opportunities: competitive insights, call transcript analysis
48:25 – Why solo practitioners can compete with startups in this space
50:09 – Second brain as a service is going to be one of the hottest AI offers
51:58 – Where to find Adam and the free guide

Key Points

The knowledge base solves the foundational problem every AI engagement runs into: where is the client's information and how is it organized? Starting here sets up every future project to succeed and gives you a reason to keep working with the client.

There are seven durable note types that form the starting schema for any client: snapshot, people and contacts, ongoing conversations, preferences and rules, project history, decisions and rationale, and open loops. This framework answers the question of what to include and what to leave out.

The spine is the one foundational piece of data everything else ladders up to. For most clients, it is their annual goals or objectives. Every other note in the knowledge base should be traceable back to it.

No fancy technology is required to start. The entire build runs on markdown files. No Obsidian, no RAG, no vector databases. You can add sophistication later, but a simple implementation still delivers massive value and is easy to sell because there is zero technical friction for the client.

The sales flow mirrors the AI audit model: a $750 knowledge audit maps where the client's information lives and what the schema should look like, then upsells into a $3,500 core build or $4,700 premium build. The audit fee gets credited toward the build.

Two skills keep the knowledge base alive after the initial build. The ingest skill automatically processes new information from sources like Gmail, calendar, and an inbox folder. The curate skill runs weekly to flag stale notes, contradictions, open items, and gaps.

The biggest upsell comes from the knowledge base itself. Once all of a client's context is in one place, you can query it for the top opportunities to implement AI next, and the client does not need to be sold because the data is making the case.

If this episode was valuable to you, it would mean a lot if you left a rating and review on Apple Podcasts or Spotify. It helps more entrepreneurs find the show.

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YouTube: https://www.youtube.com/@viableedge

Building a one-person AI agent business that makes $50K/month

Corey Ganim — Mon, 22 Jun 2026 00:15:00 +0000

Grab Nick's exact blueprint for scaling a managed AI agent business to $50k/month: https://corey-ganim.kit.com/5e8c982461

Use code COREY to get your first 3 days of Orgo.ai free then 20% off your first 3 months: https://www.orgo.ai/?r=COREY

I brought on Nick Vasilescu, co-founder of Orgo, and we built out the complete blueprint for a one-person managed AI agent business that can hit $50K a month in recurring revenue. The model is straightforward: charge $5K per month per client for unlimited agents, unlimited tokens, and unlimited infrastructure. You handle everything so the business owner never has to think about what a token is or how to set up Hermes. We walk through the full stack, the offer, how to find and close clients, how to onboard them using an effort versus impact matrix, and how to deploy and manage agent fleets on Orgo. Nick even sets up a Hermes agent from scratch in twenty-six seconds live on screen. If you want a business you can start this week with skills you already have, this episode gives you the whole thing.

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

Timestamps

00:00 – Intro and what you'll walk away with

01:14 – The $5K per month per client blueprint overview

01:46 – The biggest arbitrage: most businesses don't know what agents can do

03:11 – The offer: unlimited tokens, agents, and infrastructure

05:08 – Best industries for managed agents and how to pick a niche

06:07 – Go broad first, let the market pull you into a niche

08:06 – How to find clients: content, Upwork, and free work for case studies

09:43 – Why your first clients should be free

11:06 – Onboarding: voice recorder to workflow map to effort versus impact matrix

12:32 – The audit as a foot-in-the-door offer

14:49 – Steal this flow: free mini audit into paid audit into managed service

16:00 – The agent stack: Hermes, Composio, and Orgo

17:51 – Composio for one-click tool connections

19:53 – Orgo walkthrough: spinning up workspaces and agent computers

21:02 – How workspaces map to clients

22:25 – The client never sees Orgo, it's your operator layer

24:38 – Troubleshooting client agents from your phone

26:49 – Building industry-specific productized agent apps

27:59 – From audit transcript to deployed skill in ten minutes

28:36 – Orgo discount code for the audience

29:47 – Windows computers on Orgo: managing Codex and Claude Code for clients

32:35 – Cloning agent templates for instant productization

33:50 – Twenty-six second Hermes installation live on screen

37:16 – The full stack: Hermes, Composio, Orgo, Agent Mail

38:08 – Watchdogs: get alerted before your client notices a problem

39:31 – Why being a good communicator is your biggest edge

41:28 – Token cost management with Codex subscriptions

41:36 – The math: ten clients equals $50K MRR at 85% margins

43:04 – Why most people still won't take action

45:00 – Thinking long term: the cost of intelligence is going to zero

Key Points

The core offer is simple: unlimited tokens, unlimited agents, unlimited infrastructure for $5K a month. Business owners do not care about the technical details. They want their problem solved, and your job is to remove all complexity.

The best sales flow is a three-step funnel: a free mini audit that uncovers one pain point, a paid full audit for $1,000 that maps five to seven workflow opportunities, and then a $5K per month managed service where you credit the audit fee toward the first month.

The effort versus impact matrix is the key to onboarding. After the first call, you map every workflow the client mentions, plot them by value versus effort, and start with the ones in the high-value low-effort quadrant. That first win is the hook.

Orgo lets you manage fleets of agent computers across all your clients from one dashboard. Each client gets their own workspace. You can spin up a Hermes agent from a template in twenty-six seconds and clone golden snapshots to productize your setup across multiple clients in the same niche.

Composio solves the biggest fulfillment bottleneck in managed agents: connecting all of a client's tools. The client connects their apps in one place, gives you the API key, and your agent has access to everything.

The math works even with conservative assumptions. One new client every six weeks gets you to ten clients and $600K ARR in a year. Token costs per client run about $200 a month via a Codex subscription, leaving you with 85 percent or higher gross margins.

Nick's long-term thesis: the cost of intelligence is going to zero. Even if you lose money on tokens in month one, the spread will widen every month as models get cheaper. Think about where the puck is going.
Hermes Agent: https://www.hermes.agent Agent Mail: https://agentmail.to Excalidraw business blueprint diagram: [placeholder - link to diagram]

If this episode was valuable to you, it would mean a lot if you left a rating and review on Apple Podcasts or Spotify. It helps more entrepreneurs find the show.

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https://link.excalidraw.com/l/4z8Z2Lyybfg/8E8aGK6n25P

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X: https://x.com/nickvasiles

YouTube:@nickvasiles

Orgo: https://www.orgo.ai

The $5K AI offer that costs $9 to fulfill (how to build and sell it)

Corey Ganim — Thu, 18 Jun 2026 00:15:00 +0000

LIMITED bonus from Hyperagent: First 1,000 people get $1,000 in free Hyperagent credits. Claim yours: https://www.hyperagent.com/corey

I brought on Alex McDonnell from HyperAgent, which is the new agentic platform built by the team at Airtable, and we walked through a full business model for selling AI services to local brick-and-mortar businesses. The play is simple: use agents to find businesses with great reviews but terrible or nonexistent websites, have HyperAgent build them a new site automatically, then lead with that as a free tripwire offer. We go deep on the real upsell, which is revenue-driving systems like speed to quote tools for landscapers and mechanics that close deals faster. By the end of this episode, you'll have a complete offer structure you can take to any local business owner this week.

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business: https://www.skool.com/aioperatoracademy/about

Timestamps

00:00 – Intro

00:43 – What HyperAgent is and the business model concept

02:19 – Why this outreach wasn't possible before AI agents

05:16 – The command center for managing agent-built prospects

07:59 – Website before and after: Veslo Family Restaurant

10:36 – How HyperAgent judges website quality on its own

15:10 – Speed to quote system for a landscaping business

19:53 – Why zero landscapers in your city have this yet

22:55 – Pricing the offer: $5-10K setup plus monthly retainer

26:14 – Live build: speed to quote for CS Automotive

27:35 – Plan mode vs execute mode in HyperAgent

30:39 – Running agents on a Kanban board in Airtable

33:30 – Selling the agent itself as the product

37:03 – Agent marketplace and the compute markup model

38:05 – Live result: the CS Automotive quote tool finishes

42:20 – Static artifacts as lead gen, always-on agents as the upsell

Key Points

The tripwire offer model works because agents can now build a full website for a local business in under an hour for about nine dollars in compute, turning what used to be a paid deliverable into a free lead gen tool.

HyperAgent doesn't just find businesses without websites. It has the judgment to recognize that a business has a website but it's bad, which is a much harder problem that most agentic tools couldn't solve even a few months ago.

The real money is not in the website. It's in upselling always-on revenue systems like speed to quote tools that help businesses close deals faster, priced as a $5-10K setup fee plus a monthly retainer of $200-1,000.

The landscaping speed to quote example is the standout: a customer submits a photo of their yard and gets back three design variations with toggleable features, live pricing, and financing options, all generated by an agent.

Every skill Alex builds for HyperAgent demos gets published for free on X and GitHub, so you can grab the landscaping build, install it, and take it to a client without building from scratch.

HyperAgent's long-term vision includes an agent marketplace where creators publish agents and earn a markup on compute costs, making distribution feel free to the end user while the builder still gets paid.

Airtable - System of record for managing agent workflows via Kanban boards - https://www.airtable.com

If this episode was valuable to you, it would mean a lot if you left a rating and review on Apple Podcasts or Spotify. It helps more entrepreneurs find the show.

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X/Twitter: @hyperagentapp

8 objections you'll get selling AI services (and how to destroy them)

Corey Ganim — Mon, 15 Jun 2026 00:15:00 +0000

Grab the free cheat sheet of all eight objections plus a how-to-use-them section - https://corey-ganim.kit.com/a2e17c90d1

In this solo episode, I break down the eight most common objections you'll hear when pitching AI services to business owners, and I show you exactly how to destroy each one. I cover the QuickBooks analogy that handles "can't I just use ChatGPT myself," why skeptics need one concrete win in days instead of more hype, and the ROI flip that makes "it's too expensive" the easiest objection on the list. I also walk through the effort versus impact matrix for owners who tried AI and got bad results, the five pillars that prove no business is too specialized, and the exact framing for "let me think about it." By the end of this episode, you'll have a ready response for every objection standing between you and your next closed AI deal.

Join our AI Operator Academy Community where we help entrepreneurs start and scale a profitable AI services business https://www.skool.com/aioperatoracademy/about

Timestamps

00:00 – Intro

00:14 – Objection 1: Can't I just use ChatGPT myself?

01:25 – Objection 2: AI feels overhyped

02:05 – Free cheat sheet of all eight objections

02:33 – Objection 3: It's too expensive

03:46 – Objection 4: I don't have time right now

04:55 – Objection 5: I tried AI and got bad results

05:40 – The effort versus impact matrix

06:30 – Objection 6: My business is too specialized

06:50 – The five pillars of an AI operating system

07:30 – Objection 7: I don't want to replace my people

09:00 – Objection 8: Let me think about it

09:45 – The $999 AI assessment close

10:25 – Recap and how to grab the cheat sheet

Key Points

You destroy "can't I just use ChatGPT myself?" with the QuickBooks analogy: you could do your own books, taxes, and insurance, but you pay an expert because they know what to do and you don't want to spend the time learning.

"It's too expensive" is the easiest objection to overcome because you can always flip it to ROI. If a few thousand dollars buys back five hours a week or unlocks more revenue, the expensive option is doing nothing.

"I don't have time" is the objection that proves the pitch. The owner has no time because they're buried in the exact day-to-day tasks you'd be automating.

Most owners who tried AI and got bad results jumped straight into tinkering. The right way is auditing existing workflows with an effort versus impact matrix and stack-ranking exactly where AI makes sense.

No business is too specialized for AI. Every business runs on follow-up, quoting, scheduling, and emails, and every business runs on the same five pillars: sales, marketing, finance, operations, and intelligence.

Frame AI as automating tasks, not roles. It pulls the grunt work off the team so they can do the job they were actually hired for, and you never lead with replacing people.

"Let me think about it" is usually a smokescreen. Reframe the real decision: every week of waiting is more hours lost to a task that could be automated, and the cost of staying stuck compounds.

ChatGPT - https://chatgpt.com

Claude - https://claude.ai

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How I convert free mini assessments into $999 AI audits

Corey Ganim — Fri, 12 Jun 2026 00:15:00 +0000

Grab the full mini assessment playbook in Notion for free, including the first-call script and the second-call prep checklist: https://corey-ganim.kit.com/0cea7ca381

In this solo episode, I hand over the complete free AI mini assessment framework I use to turn business owners into paid clients in two 15-minute calls. I walk through the three levers of ROI, the five questions to ask on the fact-finding call (including the ROI anchor and my favorite, the magic wand question), and how to pick the one bottleneck that sits at the intersection of high frequency and high friction. Then I break down the prescription tree, when to recommend an off-the-shelf tool, Claude Cowork, or a custom Claude skill, and the exact three things you bring to the follow-up call. By the end, you'll be able to run this assessment confidently in about 15 minutes and ask the money question that converts 30 to 50% of free assessments into paid work.

Join our AI Operator Academy Community: https://www.skool.com/aioperatoracademy/about

Timestamps

00:00 – Intro

00:14 – The lens: one bottleneck, one tool, one upsell

00:30 – The three levers of ROI

00:57 – Meeting one: the 15-minute fact-finding call

01:25 – The forking question

01:43 – The repetition question

01:58 – The friction question

02:10 – The ROI anchor question

02:45 – The magic wand question

03:35 – Closing call one and booking the follow-up

03:55 – Between meetings: frequency and friction research

04:43 – Meeting two: prescribing the one solution

05:15 – Finding off-the-shelf tools in AI directories

06:20 – Claude Cowork vs. a custom Claude skill

07:08 – The three things you bring to call two

07:40 – The money moment and the upsell question

Key Points

Every prescription has to pull one of three ROI levers: effectiveness (more revenue), efficiency (hours back in their week), or quality (happier customers). Let the owner pick the lever, then weight everything back to it.

Meeting one is pure discovery. Prescribe nothing. Ask the five questions, listen, and close by naming the one bottleneck with the highest opportunity back to them.

The ROI anchor: get the owner to quantify the pain in their own words. Two hours a week at $200 an hour is $400 a week they could get back, and that number does the selling for you.

The bottleneck worth fixing sits at the intersection of high frequency and high friction. That's the one you prescribe. Everything else stays in your back pocket.

The prescription tree: common tasks get an off-the-shelf tool, tasks involving judgment, writing, or research get Claude Cowork, and repeatable workflows unique to their business get a custom Claude skill.

When prescribing a custom Claude skill, tell them the what, not the how. That gap is your upsell.

Come to call two with three things, the name of the tool, what it costs, and the first step they could take this week, then ask the money question: hand it off, build it with you, or build it for you? 30 to 50% of the time, they say build it.

Free Notion template with the full mini assessment playbook, first-call script, and second-call prep checklist - [ADD NOTION TEMPLATE LINK]

There's An AI For That - AI tool directory searchable by industry to find off-the-shelf fixes - https://theresanaiforthat.com

Futurepedia - another AI tool directory for matching tools to client pain points - https://www.futurepedia.io

Claude Cowork - the prescription for tasks involving judgment, writing, or research - https://claude.com

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Building an SEO business with Claude Code

Corey Ganim — Tue, 09 Jun 2026 15:04:33 +0000

I brought on Ryan Doser — a non-technical marketer with over a decade of experience who built a real-world Claude Code SEO workflow that's generated $5,000 in passive revenue in under two months — to show exactly how this works, step by step. We walk through two full demos: how Ryan repurposes YouTube videos into SEO-optimized blog posts automatically via a WordPress MCP connection, and how he vibe-coded an entire local service business website from scratch using Claude Code, Astro, GitHub, and Cloudflare — no developer required. He also shows us how he's running the same WordPress workflow for a paying client that's now showing up number one in Google AI overviews for national keywords. By the end of this episode, you'll know exactly how to do this yourself, how to sell it as a service to local businesses, and where Ryan's $99 Claude Code Skill Stack fits into the equation.

Skool Community: https://www.skool.com/aioperatoracademy/about

Timestamps

00:00 – Intro and what you'll take away
00:33 – Does this require coding knowledge?
01:12 – Demo 1: WordPress Claude Code SEO workflow
03:26 – Who to sell this to (creators vs. B2B clients)
05:50 – How the blog post auto-publishes to WordPress
07:15 – Google Search Console results and $5K in passive revenue
09:38 – Breakdown of the revenue timeline and digital product
11:42 – Real client example: MedX Dental IT
13:34 – AI search results and ranking #1 in Google AI overviews
14:50 – How to price this as a service and prove ROI
16:42 – Demo 2: Local service businesses as the target niche
19:47 – The fake septic tank site ranking on page one
22:00 – Building and deploying with Astro, GitHub, and Cloudflare
27:35 – Why this model beats time-saving automations
31:23 – Why SEO is evergreen and the long-term pitch to clients
33:00 – Live deploy: blog post goes from Claude Code to live site
34:14 – Wrap-up and where to find Ryan

Key Points

Ryan is a non-technical marketer — no coding background. He built this entire workflow as a regular person figuring it out, which means anyone watching can do the same thing. If the barrier felt technical before, that framing matters.

The WordPress workflow is fully hands-off after one prompt. Claude Code scrapes a YouTube transcript, pulls screenshots from the video, compresses and uploads images to WordPress, writes the blog post with proper H2/H3 structure, assigns a category, sets the featured image, writes the meta description, and publishes a draft — all without touching the CMS.

Ryan made over $5,000 passively from a $99 digital product, with roughly 80% of that revenue attributed directly to blog traffic from AI-repurposed YouTube videos. He implemented this in late February and the traffic didn't even start building until mid-April - so the real window was about six weeks.

The fake Des Moines Septic site - built in a single three-to-four-hour Claude Code session two weeks before recording - was already ranking on page one of Google, beating legitimate businesses, Better Business Bureau, and HomeAdvisor for "septic tank pumping near me." That's the case study you use to land clients.

The client pitch for boring local service businesses is not immediate ROI - it's long-term compounding. Work done today pays dividends in year one, year two, and year five, even after the retainer ends. Business owners who think long-term immediately get this, and they're exactly who you want as clients.

The whole stack is nearly free. GitHub is free. Cloudflare has a generous free tier. VS Code is free. Astro is free. All you need is a Claude subscription - $100 a month gets you real output capacity. The arbitrage between a $100/month subscription and two or three clients paying $2,000–$5,000 a month each is hard to argue with.

Ryan's approach to client acquisition for local businesses: go in person. With AI-generated spam calls and emails everywhere, walking into a business and talking to the owner directly cuts through the noise. Even as a mediocre salesperson, ten in-person conversations with decision-makers will close at least one client.

Links Mentioned

Ryan's Claude Code Skill Stack — 25–30 marketing and content skills including the WordPress repurposing workflow and the local service site builder — https://ryandoser.com/

Ryan Doser's YouTube channel — real-world Claude Code workflows for marketing and content, with full walkthroughs of everything shown in this episode — https://www.youtube.com/@RyanDoserAI

AI Marketing Insiders community — Ryan's 1,000+ member community for marketers using AI — https://www.skool.com/ai-marketing-insiders

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Skool Community: https://www.skool.com/aioperatoracademy/about

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YouTube: https://www.youtube.com/@RyanDoserAI
Website: https://ryandoser.com/
AI Marketing Insiders: https://www.skool.com/ai-marketing-insiders

How I'm finding all my AI services clients

Build with AI — Fri, 05 Jun 2026 00:15:00 +0000

In this solo episode, I walk through seven ways to land clients for your AI services business — starting with the method that personally got me seven qualified leads in about two hours of total effort. I cover everything from hosting a local AI meetup to knocking on doors to LinkedIn outreach to building agency partnerships, and I break down exactly what to say and do at each step. Every method ties back to one simple foot-in-the-door offer that converts cold strangers into paying clients. By the end, you'll know where to start, what to prioritize first, and how to stack these methods to build a real pipeline fast.

Join AI Operator Academy where we go even deeper on selling AI services, finding clients, and building an AI Operating System: https://aoa.community/

https://app.excalidraw.com/l/4z8Z2Lyybfg/jhXBCxthrX

Timestamps

00:00 – Intro
00:00 – Method 1: Host a local AI for small business meetup
02:24 – The follow-up that makes the meetup worth it
02:50 – Method 2: Door knocking local service businesses
04:47 – Method 3: LinkedIn outreach without being spammy
06:30 – Method 4: Free audits for people in your network
07:10 – Documenting wins and building early testimonials
08:10 – Method 5: Partnering with agencies, coaches, and consultants
09:35 – Method 6: Hosting AI office hours at a co-working space
11:56 – Method 7: Posting your wins on LinkedIn
13:30 – Where to start: the three methods to do first

Key Points

Hosting a local AI for small business meetup is the single best method to start with. Find a free venue (library, co-working space, or a realtor's office), set up an Eventbrite or Luma page, give a 20-minute talk on basic AI tools, and capture every name, phone number, and email at the door. The magic is in the follow-up within 24 hours.

The foot-in-the-door offer that powers every method on this list is a free 15-minute mini AI assessment. You're not selling anything upfront — you're prescribing one simple AI tool specific to their business. That assessment is what converts conversations into paying clients.

Door knocking local service businesses is the lowest-hanging fruit if you want a client today. One person went into 30 businesses, got five appointments, and landed two paying clients. If you do 10 walk-ins a week consistently, you will get clients.

Partnering with marketing agencies, coaches, and consultants is the highest long-term value method on the list. These partners already have your future clients as their clients, and most of them have no good answer when those clients ask about AI. You become their go-to AI resource and offer a cut of any work they send your way. One good partner can send you 50 to 100 leads over the course of a year.

Hosting AI office hours at a co-working space gives you free marketing and free exposure while positioning you as the local AI expert. You show up for two hours, answer member questions for free, and document every single question — those become your social media content and your client pipeline.

Every free audit, every question you answer, every text message that says "wow, I didn't know that" is an early win and an early testimonial. Screenshot all of it. These are your case studies for landing the next client and building toward charging $999 for a full paid assessment.

LinkedIn is the best platform for landing AI services clients. Post three to five times a week mixing wins, answers to common questions, and real education. Stay top of mind so that when someone needs an AI expert, you're the first person they call.

Luma - Event registration platform for hosting and promoting your AI meetup - https://lu.ma

Eventbrite - Free event pages to get attendees registered and confirmed - https://www.eventbrite.com

AI Operator Academy - https://www.skool.com/aioperatoracademy/about

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How to build a $10K/month AI consulting business in 90 days (step-by-step)

Corey Ganim — Tue, 02 Jun 2026 00:17:00 +0000

In this solo episode, I walk through the exact offer I'm using to make over $1,000 an hour with AI consulting — the AI Concierge Offer — and break it down step by step so you can replicate it. I cover every piece of the infrastructure: the pre-call intake form I built in Jotform, the two 45-minute done-with-you strategy calls every month, the Voxer access setup with a real SLA, and the Notion documentation hub that tracks every automation we build together. I also show you how two Claude skills handle all my post-call follow-up in 30 seconds flat, and walk through exactly how I price this — from $1,000 a month to start, all the way up to where I'm at now at $2,000 a month with a 100% close rate. By the end of this episode, you'll have a complete blueprint to go build your own AI consulting business and land your first paying clients.

Timestamps

00:00 – Making over $1,000/hour with the AI Concierge Offer

01:40 – The pre-call intake form built in Jotform

03:40 – The two 45-minute done-with-you strategy calls

04:30 – The AOA framework: Audit, Optimize, Automate

06:00 – Voxer access and the 12-hour SLA

08:00 – The Notion documentation hub walkthrough

09:56 – How two Claude skills automate post-call follow-up

12:15 – Pricing: from $1,000 to $2,000/month and when to raise rates

14:23 – How to get the full templates and business model

Key Points

The AI Concierge Offer is a done-with-you consulting engagement, not done-for-you. Two 45-minute strategy calls per month plus unlimited Voxer access — that's roughly 1.5 hours of your time per client at $1,500/month, which works out to $1,000 an hour.

The AOA framework — Audit, Optimize, Automate — is the operating system for every client engagement. You fix the process first before you ever touch automation, so you're not just automating broken workflows.

A pre-call Jotform intake questionnaire sent before the first paid call surfaces the client's biggest bottlenecks and makes the first session actually productive from minute one. If they haven't filled it out, reschedule — it's not optional.

The Notion documentation hub is the renewal mechanism. When clients can see a running quantified list of every skill, workflow, and automation you built together, the $1,500 or $2,000/month fee is easy for them to justify.

Two Claude skills handle all post-call admin in 30 seconds — one populates the Notion call log from the transcript, the other pulls out action items and drafts a follow-up email to the client. Build the infrastructure once and it runs itself.

When you're closing 100% of your sales calls, your price is too low. Start at $1,000/month, move to $1,500 once you have two clients, and keep raising until people push back. Corey is currently at $2,000/month and still closing every pitch.

Cap yourself at six clients. More than that and service quality degrades — and at $2,000/month, six clients is $12,000/month for roughly 9 hours of strategy call time.

Links Mentioned

AI Operator Academy — community with the full AI Concierge Offer business model, Jotform template, Notion hub template, and both Claude skills included: https://www.skool.com/aioperatoracademy/about

Voxer — walkie-talkie style async voice messaging app used for client communication between strategy calls: https://www.voxer.com

Jotform — form builder used to create the pre-call AI concierge intake questionnaire: https://www.jotform.com

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Instagram: https://www.instagram.com/coreyganim/

LinkedIn: https://www.linkedin.com/in/coreyganim/

YouTube: https://www.youtube.com/@coreyganim

I built an AI agent finance department (full build)

Corey Ganim — Wed, 27 May 2026 01:19:18 +0000

I brought on Mike Dion, a senior corporate finance professional who has helped automate more than 100,000 hours of work out of finance processes, to walk through how to build a fully functional AI agent finance department inside N8n — from scratch, with no coding background required. We build a CFO agent named Charles, give him a team of specialist sub-agents (FP&A, Accounting, and Treasury), and watch the delegation logic in action as Charles routes questions to the right specialist instead of answering everything himself. Mike also breaks down how to use ChatGPT to write your own system prompts, why you should give the CFO a reasoning model while using cheaper models for the sub-agents, and how to publish the finished chat so your whole team can access it. By the end of this episode, you'll have everything you need to replicate this AI finance department in under 45 minutes. Timestamps 00:00 – Intro 00:03 – What we're building: AI CFO inside N8n 00:23 – Mike's background and 100,000 hours of automation 00:52 – Why N8n over Make, Zapier, or Power Automate 02:00 – Setting up the chat trigger and naming the CFO 05:00 – Using ChatGPT to write the CFO system prompt 08:52 – Choosing the right AI model and saving on token costs 13:27 – Building the FP&A sub-agent (and what FP&A actually does) 16:36 – Adding the Accounting agent with code interpreter 19:25 – Building the Treasury agent 33:21 – Successful routing to FP&A and Treasury agents 38:19 – Publishing the chat and embedding it in Slack, Teams, or a website 39:22 – Mike's philosophy: train your team to build, don't just build for them 41:14 – Where to find Mike and his free Finance Automation Insider newsletter Key Points Using ChatGPT to write your own N8n system prompts is one of the fastest ways to get started — nothing knows ChatGPT better than ChatGPT itself, and what would have taken six hours of writing two years ago now takes minutes. The delegation logic is non-negotiable. If the CFO answers questions directly instead of routing them to a specialist, you lose access to any tools or context you've connected to those specialist agents — and you pay more for it. N8n can run completely free on a $4–5/month virtual private server, making this entire AI finance department buildable for nearly zero cost. You don't need a paid automation platform subscription. Setting the context window to 10 (five back-and-forth interactions) is a practical default — enough for most finance questions without ballooning your API costs on every run. You can publish the finished CFO chat and embed it directly in Slack, Microsoft Teams, or a company website. Your team sees a clean chat interface — all the N8n complexity stays invisible in the background. Links: F9 Finance YouTube channel — Mike's free weekly channel covering finance automation tools and builds: https://www.youtube.com/@F9Finance F9 Finance website — corporate automation training and the free Finance Automation Insider newsletter (includes 15 five-minute finance automations you can build with tools you already have): https://f9finance.com N8n — the free, self-hostable workflow automation tool used to build the AI CFO in this episode: https://n8n.io Join the Build With AI community — weekly AI implementations, live coaching, and no-fluff templates built for non-technical entrepreneurs: https://www.skool.com/buildwithai/about If this episode was valuable to you, it would mean a lot if you left a rating and review on Apple Podcasts or Spotify. It helps more entrepreneurs find the show. FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim FIND MIKE ON SOCIAL YouTube: https://www.youtube.com/@F9Finance Website: https://f9finance.com

AI agent focus groups are the future of marketing

Corey Ganim — Tue, 19 May 2026 04:15:00 +0000

I sat down with Justin Brooke, a 20-year advertising veteran who turned a $60 Google Ads campaign into a seven-figure agency — and then built an AI-powered prediction system that has since generated $260,000 for him personally. In this episode, Justin walks through his "predictive wear" framework: a multi-agent workflow that runs your ad copy and sales pages through a synthetic focus group of 13 detailed AI personas before a single dollar is spent on ads. We break down how the workflow is built in Mind Studio, why persona quality makes or breaks accuracy, and how Harvard, Stanford, and the New York Times have all validated this exact approach. By the end of this episode, you'll understand why running your marketing through a virtual focus group before it goes out the door may be the single highest-ROI move you can make right now.

Timestamps
03:29 – What "predictive wear" is and why Justin built it
05:00 – Why you need multiple personas, not just one
08:00 – How the 13-persona focus group workflow runs
09:00 – The prediction engine: picking the winning ad variation
10:00 – Harvard, Stanford, and the New York Times validate the method
13:15 – The ROI: $260K personally, 4 to 6X ROAS for clients
19:00 – What makes a persona accurate: the 1,400-word dossier
24:04 – The copywriter prompt and "embody" vs. "pretend to be"
33:00 – Sales page version: PDF upload and yes/no buyer scoring
41:00 – Why some personas are successful and others are struggling
45:00 – A $36,000 offer launched using this exact process
48:00 – Final advice: do the work on the persona quality

Key Points

The old way of advertising is learning by spending money — you write copy, run ads, and find out if it works after the budget is gone. Justin's predictive wear system flips this by running copy through a synthetic focus group of 13 AI personas before any ad spend, so you know what will convert before you go live.

Harvard, Stanford, and the New York Times have all independently validated this approach. The New York Times uses the same synthetic audience process to test headlines and found 92% accuracy compared to their human focus groups — meaning this is not a fringe experiment, it is becoming standard practice for major publishers and brands.

The cost is 13 to 20 cents per run. A top 1% copywriter charges $100 to $500 per ad. Justin's workflow produces three optimized variations in about 10 minutes for 13 cents, performs at or near the level of the best human copywriters for most use cases, and allows unlimited iteration — you run it until the copy converts.

The system is also a copywriting trainer. Even with 20 years of experience, Justin says the feedback regularly surfaces blind spots and teaches him better approaches.

Anyone can use this, not just expert copywriters. Because the workflow takes whatever you input — even a bad ad — and improves it based on real persona feedback, non-copywriters like a front-desk employee or a local business owner can now produce top-10% ad copy without prior training.

Join the Build With AI community built for non-technical entrepreneurs: https://www.skool.com/buildwithai/about

If this episode was valuable to you, it would mean a lot if you left a rating and review on Apple Podcasts or Spotify. It helps more entrepreneurs find the show.

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FIND JUSTIN ON SOCIAL
https://x.com/IMJustinBrooke
Website: https://adskills.com

I BLEW UP Instagram With AI Content (4M Views in 30 Days)

Corey Ganim — Fri, 15 May 2026 04:15:00 +0000

I sat down with Nick Puru to break down the exact Claude Code setup he used to pull 4 million views and ~6,000 newsletter signups in the last 30-45 days for his AI consultancy. Nick walks through his short-form content factory inside Claude Code — the CLAUDE.md "brain," his ICP file (an avatar he calls Patrick), his foundations doc full of algorithm lessons like "negativity always wins," and the three skills he uses to write captions, generate scripts, and review them. We get into how he tests three hooks per video with Instagram trial reels, the humanizer skill from Bader on GitHub that strips out AI tells like em-dashes and "it's not X, it's Y," and why he treats every Claude project like onboarding a new employee. By the end of this episode, you'll have a clear blueprint for building your own short-form content system in Claude Code — starting from a single CLAUDE.md file and expanding from there. Timestamps 00:00 – Intro 00:37 – 4 million views in 30 days 01:53 – Reels to ManyChat to newsletter funnel 03:31 – Tour of the Claude Code folder structure 05:02 – How the write script command works 06:29 – Why human-in-the-loop matters for content 07:38 – Inside the CLAUDE.md brain file 08:11 – Meet Patrick, Nick's ICP avatar 10:04 – Foundations file and "negativity always wins" 13:43 – Live generating a Claude Cowork script 15:44 – Testing three hooks with Instagram trial reels 18:48 – Most bare-bones version to start with 22:36 – Why ICP and brand voice are foundational 24:28 – The humanizer skill from Bader on GitHub 27:01 – Treating AI like a new employee 29:35 – Context beats prompting in 2026 31:13 – Where to find Nick Key Points Nick's short-form system drove ~4M views in 30 days and ~6,000 newsletter signups in 45 days for his AI consultancy — every video CTA pushes a lead magnet via a ManyChat flow that collects emails and hands off to an appointment setter. The whole system lives inside Claude Code as three skills: one writes scripts, one reviews them against a quality checklist, and one generates captions. Trigger them by typing things like "write script" in the terminal. The CLAUDE.md file is the brain. It holds the output format, writing rules, key principles, and a pointer to an ICP file built around an avatar named Patrick — a small-to-mid market business owner ($few hundred K to $15M, 2-50 staff) who has tried ChatGPT once or twice but doesn't know Claude Code. One of Nick's foundations is "negativity always wins" — the algorithm rewards a stronger emotional charge, but he warns against using it on every video or audiences pick up on it. He calls it in only when the angle fits. He tests three different hooks on the same body and CTA using Instagram trial reels, treats it like A/B testing titles and thumbnails on YouTube, and feeds the winners back into the system as analytics context. To kill AI tells like em-dashes, bullet points, and "it's not X, it's Y," Nick runs scripts through Bader's humanizer skill from GitHub. Corey adds a similar instruction in his agents.md to never use dashes. Treat Claude like a new employee, not a magic box. You wouldn't expect a hire to crush it on day one — you'd give them SOPs, business context, your website, and an ICP. Same playbook for building any Claude project, whether it's short-form, long-form, or LinkedIn posts. Bader's humanizer skill on GitHub - https://github.com/bader-research ManyChat for Instagram DM automation - https://manychat.com FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim FIND NICK ON SOCIAL YouTube: https://www.youtube.com/@nickpuru X: https://x.com/nickpuru LinkedIn: https://www.linkedin.com/in/nicholas-puruczky-113818198/

How I Built an AI Voice Agent With Claude + Voiceflow (Zero Code)

Corey Ganim — Tue, 12 May 2026 04:15:00 +0000

Build your voice agent in 10 minutes (No code required) https://corey-ganim.kit.com/18da152cf4 In this episode, I sat down with Susan Westwater, co-founder of Pragmatic Digital and a conversational AI veteran since 2017, to build a working voice agent in Voiceflow live, with zero code. Susan walks through her exact prompt template for an appointment-scheduling agent, explains the difference between in-the-loop, on-the-loop, and fully autonomous agents, and shows how to separate your agent instructions from your knowledge base so you can update facts without breaking the whole build. We test the agent live (it called her cell phone mid-episode), connect it to a Google Sheet to capture customer intake, and talk about competitors like VAPI, ElevenLabs, and Voiceify. By the end, you'll have the exact playbook (and the template Susan is giving away) to spin up your own MVP voice agent in under an hour. Timestamps 03:42 – Inside Voiceflow and what makes it different 04:23 – Chatbot vs voice agent: listen, decide, act 05:30 – In the loop vs on the loop vs fully autonomous 09:09 – The system prompt: identity, purpose, and boundaries 11:54 – Voice, persona, and speech sculpting 13:22 – Separating agent instructions from knowledge base 17:14 – Stopping the agent from troubleshooting electrical issues 20:31 – Rules for collecting info one question at a time 23:21 – Pasting the prompt and one-shotting the build 26:34 – Voiceflow competitors: VAPI, ElevenLabs, Voiceify 30:22 – Connecting tools at each conversation step 33:13 – Why faster builds give up control 38:21 – Adding the knowledge base as a Word doc 43:13 – Sending customer intake to a Google Sheet 45:57 – Live phone call with the voice agent 50:09 – Branching, exit conditions, and iteration 54:52 – Custom voices, ElevenLabs integration, and voice security Key Points Keep two documents separate: agent instructions (how the agent behaves, its identity, persona, escalation rules) and knowledge base (the facts about your business). If pricing or hours change, you update one cell in your knowledge base instead of digging through a giant system prompt. The strength of a Voiceflow build lives in the prompt. Susan pastes her full instructions doc into the new project prompt and Voiceflow generates the entire conversation flow — greeting, qualification, intake, confirmation, escalation — with no coding. Be explicit about what the agent does NOT do. LLMs are trying to "win the game" (Susan's War Games analogy), so if you don't tell the electrical-appointment bot "do not troubleshoot," it will try to problem-solve its way out of every conversation. Collect intake one question at a time, use explicit confirmation on critical fields like callback numbers, and tell the agent to be empathetic but not apologetic — nobody wants a bot that says "I'm sorry" five times instead of solving the problem. Voiceflow — https://www.voiceflow.com Pragmatic Digital — Susan's agency helping brands operationalize conversational AI and applied AI for CX - https://www.pragmatic.digital VAPI — alternative voice agent platform - https://vapi.ai ElevenLabs - https://elevenlabs.io Voiceify — centralized library for chatbot, voice agent, and telephone deployments across web and mobile - https://voicify.com/ Twilio — phone number and telephony layer for connecting Voiceflow agents to real phone calls - https://www.twilio.com Make.com — automation platform that can connect to Voiceflow as a tool integration - https://www.make.com Robert Scoble on X https://x.com/Scobleizer Brian Roemmele on X https://x.com/BrianRoemmele FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim FIND SUSAN ON SOCIAL X: https://x.com/sjw75 Website: https://www.pragmatic.digital

I Built the ULTIMATE AI Second Brain (Karpathy's LLM Wiki Setup Guide)

Corey Ganim — Fri, 08 May 2026 04:15:00 +0000

🔗 Deploy your own Hermes agent on Hostinger -10% off any plan with code COREY10: http://hostinger.com/corey10 (use code COREY10)

Grab the free step-by-step Hermes Second Brain setup guide here: https://corey-ganim.kit.com/60fc0fe6d9

In this solo episode, I walk through exactly how I built the ultimate AI second brain using Hermes and its built-in LLM Wiki skill — inspired by Karpathy's wiki setup. I break down the three core operations of the Hermes agent (ingest, query, lint), the three layers of the knowledge base (raw sources, the wiki, schema/tags), and why I chose Hermes over Claude Code, OpenClaw, or Obsidian for this build. From there, I show the full one-click deploy on a Hostinger VPS, the OpenAI model setup, the Telegram bot integration via BotFather, and the Markdownload Chrome extension trick I use to feed any tweet, article, or webpage straight into the wiki. By the end of this episode, you'll have a clear, step-by-step path to deploy your own self-improving second brain that gets smarter the more you use it.

Key Points

Hermes ships with a built-in LLM Wiki skill that handles the second brain function out of the box — your job is to curate sources, the agent's job is to summarize, tag, and file them away.

The knowledge base has exactly three layers: raw sources you give it (read-only), the agent-owned wiki of markdown files, and the schema/tags Hermes builds to make querying low-friction.

Run the Lint command roughly once a month — it audits your wiki for contradictions, sources older than 90 days, and oversized files that should be split for more accurate retrieval.

Deploy on a Hostinger VPS instead of locally — it's a one-click install with no terminal, cheaper than a Mac mini, always-on, and your data stays private.

The simplest workflow for feeding the wiki: use the Markdownload Chrome extension to clip any tweet, article, or webpage to markdown, drag it into your Telegram chat with Hermes, and tell it to add it to the wiki.

This is a compounding asset — on day 1 the knowledge base is the dumbest it'll ever be, but feed it consistently and by day 90 it becomes incredibly useful for retrieval.

Hermes agent VPS deployment on Hostinger (use code COREY10 for 10% off) - https://www.hostinger.com/vps/hermes-agent-hosting

Markdownload Chrome extension - https://chromewebstore.google.com/detail/markdownload-markdown-web/pcmpcfapbekmbjjkdalcgopdkipoggdi

Telegram BotFather - https://t.me/BotFather

OpenAI Codex - https://openai.com/codex

FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim

Cracking the X algorithm with Claude Code

Corey Ganim — Tue, 05 May 2026 23:24:34 +0000

Tom Crawshaw (8+ years in automations, $25M+ in attributed e-com revenue) cracks open the content system that's pulled him millions of views. We walk through the Claude Code skill he built that handles voice profile, copywriting principles, hook scoring, image prompts, and a humanizer pass from one slash command. He also surfaces a hidden Claude Code feature called /insights that audits your full usage history and tells you what to build next. You'll learn how to turn messy ChatGPT workflows into a real skill, why Whisperflow is non-negotiable, and the one slash command 99% of Claude Code users are sleeping on.

Timestamps

00:00 Intro

00:30 Tom's automation background

03:30 Skills vs. Projects on context

08:30 Auto-updating voice profile from X

11:00 Nano Banana plus Canva workflow

23:30 Live demo: a Whisperflow post

34:30 Hook scoring with copywriting principles

46:30 The hidden /insights command

54:30 Skills vs. n8n vs. Lovable

Key Points

Skills beat Claude Projects on context. Projects load every reference file on every message. A skill works like a book: Claude pulls only the chapter it needs, so a full pipeline runs in one chat.

Tom's skill auto-updates his voice profile weekly. The X API pulls his last 7 days of posts, ranks by engagement, and rewrites the profile so the skill keeps drifting toward what's working.

/insights is the most slept-on feature in Claude Code. It audits your full session history and hands back a real report: what's working, where you're breaking your own rules, skills to build, and prompts to run.

Image gen is 80% Nano Banana, 20% Canva. Generate fast in the AI tool, then finish in Canva with magic grab and magic erase.

Whisperflow changed how Tom and Corey think, not just type. Speaking forces tighter thinking and makes prompts richer because adding context costs almost nothing.

Links

Claude Code: https://www.anthropic.com/claude-code

Whisperflow: https://wisprflow.ai/

Nano Banana: https://gemini.google.com/

Canva: https://www.canva.com/

n8n: https://n8n.io/

Tom's site: https://learnn8nautomation.com/

Build With AI: https://www.skool.com/buildwithai/about

FIND ME ON SOCIAL

X: https://x.com/coreyganim

X: https://x.com/TomCrawshaw01

TOM ON SOCIAL

YouTube: https://www.youtube.com/@TheAIGrowthLab

Website: https://learnn8nautomation.com/

How I'm AI-maxxing boomer businesses to make f*ck you money

Corey Ganim — Wed, 29 Apr 2026 18:22:28 +0000

Free audit template Corey is giving away — https://audittemplate.ai In this episode, I sat down with Chris Koerner and outlined how I sell AI assessments to small businesses. Timestamps 00:00 – Intro 00:33 – The $1,000 AI audit pitch 01:10 – The lunch conversation that started it all 02:23 – Why 99 out of 100 owners need this 02:57 – Why Loom screen recording failed 04:25 – From Zoom calls to a voice agent 05:31 – Meet Annie, the AI interviewer 06:17 – Live demo of the voice agent 08:06 – How the voice agent was built (Retell + skills) 10:18 – Walking through a real assessment in Gamma 12:00 – The effort vs impact matrix 13:00 – Wedding venue saves 8 hours with Dash This 15:16 – Pricing journey: free to $1,000 17:30 – Why charging more makes upsells easier 18:02 – The full upsell menu breakdown 22:00 – Custom GPT knowledge system for a business broker 24:46 – Which industries this works best for 25:53 – Seven ways to find clients with no followers 26:39 – Hosting a local AI meetup 27:30 – Door-knocking businesses in 2026 29:25 – Using free audits to land warm contacts 30:30 – Running free AI office hours 31:30 – Hard-won lessons and the speed-to-lead upsell 34:36 – The simple Claude prompt that builds the audit 35:33 – Where to find Corey Key Points The business started from one lunch where a friend said he'd pay $1,000 just to be followed around for a day. After validating with 50–100 owners, Corey found 99 out of 100 small business owners need this — they just don't know which AI tools to use. The upsell menu is built into the report. Common follow-ons: process optimization ($3K–$5K), Zapier or Make automation builds ($1K–$3K), custom GPT knowledge systems, CRM setups (high-level CRM at $3K–$5K), and speed-to-lead AI agents tied directly to revenue. The seven-way client acquisition playbook works with zero followers: host a local AI meetup on Luma or Meetup.com, door-knock local businesses, run free audits for your network, host free AI office hours at coworking spaces or realtor offices, partner with well-connected locals, and lean on warm intros from your CEO peer group. You don't need to be an AI expert. As Corey puts it, you just need to be one step ahead of your average client — which is about seven days of studying. The realtor's office where he hosted his free AI meetup turned into paying assessment work. The Claude prompt to generate an audit is dead simple: attach the transcript, tell Claude to find off-the-shelf tools that fix the pain points, and point it at directories like Futurepedia or There's An AI For That. FIND ME ON SOCIAL X/Twitter: https://x.com/coreyganim Instagram: https://www.instagram.com/coreyganim/ LinkedIn: https://www.linkedin.com/in/coreyganim/ YouTube: https://www.youtube.com/@coreyganim

EASY Claude Cowork Setup (full beginner tutorial)

Corey Ganim — Thu, 23 Apr 2026 15:18:47 +0000

In this solo episode, I walk through the exact process of setting up Claude Cowork from scratch — the right way — using the free Cowork Onboarding plugin I built and made open source. I go step by step through the full onboarding flow, from picking your workspace folder and connecting tools, to building three core context files (About Me, Brand Voice, and Working Style), generating global instructions that tie everything together, setting up scheduled tasks like a daily morning briefing and quarterly context review, and running an optional security review to lock in sensible rules.

Timestamps

00:00 – Why Cowork is useless out of the box

02:22 – Starting the onboarding flow from scratch

03:30 – Choosing workspace folder and onboarding path

04:37 – Workspace structure and file access permissions

05:45 – Connecting Google Workspace tools (Gmail, Drive, Calendar)

06:56 – Building context files: About Me, Brand Voice, Working Style

10:58 – Linking existing brand materials from Google Drive

12:44 – Generating global instructions from your context files

15:00 – Skills and plugin recommendations from the marketplace

17:24 – Setting up scheduled tasks: morning briefing and quarterly review

19:46 – Running the optional security review

23:23 – Wrapping up: what we built and the two manual steps left

Key Points

Most people skip the onboarding and then wonder why Cowork feels generic. The entire point of setting it up properly — building context files and global instructions — is so Claude never has to ask who you are again. Every session loads with that context automatically.
The three context files (About Me, Brand Voice, Working Style) are the foundation of the whole setup. Without them, Cowork is writing responses for a stranger. With them, it knows your business, how you communicate, and how you like your deliverables structured.
Global instructions are the piece most people miss. Once you paste your generated global instructions into Cowork's settings, every single session loads that context from the start — no repeating yourself, no re-explaining your preferences.

Links Mentioned

Free Cowork Onboarding plugin — download it to run the full guided setup described in this episode: https://return-my-time.kit.com/f00d78554c

Build with AI community — get the full onboarding plugin including the self-assessment, workflow audit, and custom skill blueprints tailored to your business: https://www.skool.com/buildwithai/about

WisprFlow — the talk-to-text tool used during the onboarding to answer Claude's questions faster: https://wisprflow.ai

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Build STUNNING Websites with Claude Code + Google Stitch (full walkthrough)

Corey Ganim — Fri, 17 Apr 2026 04:15:00 +0000

I sit down with Leon van Zyl, who ran a web design company for 10 years and now teaches over 700 people how to build real applications with coding agents. We walk through his exact workflow for building professional, client-ready websites using Google Stitch for the design system and Claude Code for the build — no coding skills required. Leon shows the difference between a one-shot AI-generated site and what you get when you front-load the design system before touching code. By the end, you'll have a repeatable workflow for going from design concept to finished website — including custom AI images that match your brand.

Links Mentioned:

Google Stitch: https://stitch.withgoogle.com

Claude Code: https://docs.anthropic.com/en/docs/claude-code

Cursor: https://www.cursor.com

Next.js: https://nextjs.org

Stitch MCP Server Docs: https://stitch.withgoogle.com/docs/mcp

Stitch Skills: https://stitch.withgoogle.com/docs/skills

Timestamps

00:00 – Intro

00:06 – What you'll learn: design systems for client-ready websites

02:04 – Jumping into the screen share

02:25 – The problem: one-shot AI websites look terrible

03:52 – The Stitch workflow result: side-by-side comparison

07:32 – Starting from a vanilla Next.js project

08:50 – What is Google Stitch and how to get started

10:00 – Prompting Stitch with brand details, fonts, and colors

13:00 – Why design systems matter for coding agents

16:00 – Iterating on the homepage before building more pages

17:44 – Sharing Stitch designs with clients for approval

21:23 – Setting up the Stitch MCP server in Claude Code

23:18 – What an MCP server actually is (simple explanation)

25:56 – Pulling the design system into your project

28:47 – Memory files: Claude.md vs Agents.md explained

33:24 – Converting the Stitch design into a working website

35:06 – Installing the Stitch React Components skill

41:11 – When to use this workflow: client work vs personal projects

44:27 – Viewing the finished website vs the Stitch mockup

48:27 – Downloading and converting images to WebP for performance

53:46 – Generating custom AI images with Nano Banana Pro

58:14 – Final result with branded AI-generated hero image

01:00:48 – Key takeaways and wrap-up

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Claude Code Routines Clearly Explained (and why it matters)

Corey Ganim — Tue, 14 Apr 2026 21:59:19 +0000

Claude Code just dropped routines, and when I first saw the three options — routine, schedule, and loop — I had no idea when to use which. In this video, I break down all three modes in plain language and then demo building a routine from scratch using an X trend scanner I already had in my skill library. You'll see the full setup: GitHub connection, system prompt config, trigger options, and connector permissions. By the end, you'll know exactly which mode to use for any automation you want to build and how to get your first routine live.

Links Mentioned:
Claude Code Routines: https://claude.ai/code/routines
GitHub: https://github.com

Timestamps
00:00 – Intro: The confusion with Claude Code's new features
00:20 – The three modes: routine, schedule, and loop
00:50 – When to use each mode (simple breakdown)
01:10 – Using Claude Code to find a skill to demo
01:45 – Selecting the X scan routine
02:00 – GitHub requirement for routines explained
02:18 – Creating a new routine at claude.ai/code/routines
02:35 – Naming your routine and connecting your GitHub repo
02:50 – Dropping in your system prompt
03:05 – Setting the schedule trigger (10am Eastern daily)
03:20 – Configuring connectors and permission sets
03:40 – Running on demand and reviewing the output
04:10 – Full recap of all three modes

Key Points

* Claude Code has three automation modes — routine (runs on Anthropic's cloud, set it and forget it), schedule (needs local access, also available in Cowork), and loop (immediate execution in the CLI). Picking the wrong one means your automation won't work the way you expect.

* Routines require a GitHub repository. You can't create one without it, so get your repo connected before you start.

* The whole setup happens at claude.ai/code/routines — no coding required beyond having a system prompt in markdown format ready to paste in.

* Routines support three trigger types: time-based schedule, GitHub event, or API call. That gives you flexibility depending on whether you want it cron-based, push-based, or fired from another system.

* The X trend scanner ran automatically and surfaced several trending topic candidates with suggested content angles — zero manual research, just results ready to use.

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LinkedIn: https://www.linkedin.com/in/nicholasspisak/
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Claude Managed Agents Clearly Explained (and why it matters)

Corey Ganim — Fri, 10 Apr 2026 14:45:48 +0000

Grab the free Google Doc to build and deploy your first Claude Managed Agent in 60 seconds: https://return-my-time.kit.com/2872b904f5

I sit down with Nick Spisak, an AI agent builder who deployed his first Claude Managed Agent the same week Anthropic released the capability, to break down exactly what this platform is, who it's for, and when it makes financial sense to use it. We walk through the four user personas Claude Managed Agents is built for.

Links Mentioned:
Corey's X article: https://x.com/coreyganim/status/2042286607449874527
Nick's X article: https://x.com/NickSpisak_/status/2041949191887262164

Timestamps
00:00 – Intro
00:05 – What is Claude Managed Agents?
00:29 – Architecture: decoupling tools, sessions, and orchestration
01:15 – Who managed agents is and isn't for
01:33 – The four user personas breakdown
03:58 – Why AI Tinkerers should stick with Claude Code subscription
04:21 – Free Google Doc: build your first agent in 60 seconds
05:28 – Platform-as-a-service model explained
05:43 – Cost comparison: Managed Agents vs Agent SDK
06:09 – Live look inside platform.claude.com
06:23 – Workbench, sessions, and output walkthrough
08:16 – Sessions: tool calls vs. finished output explained
08:31 – Analytics dashboard and real cost breakdown
09:36 – When the ROI math works (and when it doesn't)
11:18 – Next steps: articles on X, how to get started
12:04 – Outro

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Build Karpathy's Second Brain With Obsidian + Claude Code

Corey Ganim — Tue, 07 Apr 2026 16:07:41 +0000

Download Nick's free second brain skill -- one-click install that sets up your entire Obsidian vault and ingestion workflow inside Claude Code: https://return-my-time.kit.com/286e11f7e6

I brought on Nick Spisak to build a complete second brain live -- start to finish, in under 20 minutes. By the end of this episode, you'll know exactly how to build your own second brain -- and you can grab Nick's free skill to do it in one click.

Timestamps

00:00 - Intro and Karpathy's viral second brain tweet

00:24 - What the second brain concept is

03:28 - Obsidian Web Clipper: scraping pages into your vault

04:41 - Nick's free skill: wizard, ingest, query, and lint commands

05:53 - Live demo: running the setup wizard in Claude Code

08:38 - How many vaults to manage: personal vs. business

10:30 - Opening the vault and exploring the file structure

12:21 - Graph view: seeing connections between your data

15:38 - Ingest command: raw data into organized wiki

16:29 - Automating ingestion on a cron schedule

19:12 - Compounding value and syncing the vault across devices

20:19 - Pruning the vault with the lint command

21:53 - Your data set as a moat in the AI age

Key Points

* Karpathy released a framework for building an LLM knowledge base. Nick turned it into a free Claude skill with a guided setup wizard, ingest, query, and lint commands -- works across Claude Code, Codex, Gemini CLI, and more. One-click install, no coding required.

* The system runs on three tiers: raw (brain dump), wiki (AI-organized knowledge base), and outputs (answers from querying). Drop files into raw, run ingest, and the AI maps everything into structured wiki entries with relationship graphs.

* You can automate ingestion using Claude Code's loop feature so the vault stays current without manual work. Pair with Obsidian's paid sync tier and a note captured on your phone is indexed before you're back at your desk.

* The lint command health-checks your wiki for outdated entries and missing connections -- and tells you exactly what to clip next to close the gaps. The wiki tells you what it doesn't know yet.

* Day zero this thing is basic. Day 90 it's a company asset no competitor can copy. Your private knowledge base is the foundation for every agent and skill you build -- and nobody else will have it.

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