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    <title>L E S S O N S - with Lennox Saint</title>
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    <description>$32,700 in savings. 10 months of runway. non-technical founder building a real SaaS to $10K/month using only AI tools - or going broke trying.

this playlist is my full journey from $1,940 MRR to $10K MRR, filmed in real time with real numbers. the wins. the fuck-ups and the dollars. no code experience. no safety net. just AI tools and a deadline.

new videos every week. subscribe to see how it ends.</description>
    <copyright>© 2026 Lennox Saint</copyright>
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    <podcast:locked>yes</podcast:locked>
    <language>en</language>
    <pubDate>Sat, 06 Jun 2026 01:36:16 +0800</pubDate>
    <lastBuildDate>Sat, 06 Jun 2026 01:36:31 +0800</lastBuildDate>
    <link>http://www.threadify.app</link>
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      <title>L E S S O N S - with Lennox Saint</title>
      <link>http://www.threadify.app</link>
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    <itunes:category text="Technology"/>
    <itunes:type>episodic</itunes:type>
    <itunes:author>Lennox Saint</itunes:author>
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    <itunes:summary>$32,700 in savings. 10 months of runway. non-technical founder building a real SaaS to $10K/month using only AI tools - or going broke trying.

this playlist is my full journey from $1,940 MRR to $10K MRR, filmed in real time with real numbers. the wins. the fuck-ups and the dollars. no code experience. no safety net. just AI tools and a deadline.

new videos every week. subscribe to see how it ends.</itunes:summary>
    <itunes:subtitle>$32,700 in savings.</itunes:subtitle>
    <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
    <itunes:owner>
      <itunes:name>Lennox Saint</itunes:name>
      <itunes:email>learn@saintscoaching.com.au</itunes:email>
    </itunes:owner>
    <itunes:complete>No</itunes:complete>
    <itunes:explicit>No</itunes:explicit>
    <item>
      <title>i made my 4.1M Threads workflow free</title>
      <itunes:title>i made my 4.1M Threads workflow free</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <description>
        <![CDATA[i made the Daily Greatest Hits workflow free.

this episode is adapted from the YouTube walkthrough, so the video version has the full screen-share. the audio version gives you the core operator logic: stop asking AI to invent from scratch, feed it the posts your audience already rewarded, then turn that proof into daily candidates with explicit approval gates.

watch the YouTube version:
https://youtu.be/WEWqS9nZSnY

get the free Daily Greatest Hits workflow inside Codex Club:
https://www.skool.com/codexclub/free-daily-greatest-hits-workflow

what this covers:
- the 30-day proof stack
- why Greatest Hits beats generic AI ideation
- how Codex and Threadify turn proven Threads posts into daily candidates
- where the safety gates sit before anything posts
- how the public Threadify Workflows repo fits into the member/customer workflow]]>
      </description>
      <content:encoded>
        <![CDATA[i made the Daily Greatest Hits workflow free.

this episode is adapted from the YouTube walkthrough, so the video version has the full screen-share. the audio version gives you the core operator logic: stop asking AI to invent from scratch, feed it the posts your audience already rewarded, then turn that proof into daily candidates with explicit approval gates.

watch the YouTube version:
https://youtu.be/WEWqS9nZSnY

get the free Daily Greatest Hits workflow inside Codex Club:
https://www.skool.com/codexclub/free-daily-greatest-hits-workflow

what this covers:
- the 30-day proof stack
- why Greatest Hits beats generic AI ideation
- how Codex and Threadify turn proven Threads posts into daily candidates
- where the safety gates sit before anything posts
- how the public Threadify Workflows repo fits into the member/customer workflow]]>
      </content:encoded>
      <pubDate>Sat, 06 Jun 2026 01:36:16 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/1dcb76c6/486221ae.mp3" length="20849682" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>869</itunes:duration>
      <itunes:summary>Lennox Saint walks through the Daily Greatest Hits workflow: using Codex and Threadify to turn proven Threads posts into daily candidates instead of asking AI to invent from scratch.</itunes:summary>
      <itunes:subtitle>Lennox Saint walks through the Daily Greatest Hits workflow: using Codex and Threadify to turn proven Threads posts into daily candidates instead of asking AI to invent from scratch.</itunes:subtitle>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/1dcb76c6/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>i used Codex for 350 hours. it runs my business now</title>
      <itunes:title>i used Codex for 350 hours. it runs my business now</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">c17d328b-53d1-4033-a5ce-de50e1ef66e6</guid>
      <link>https://share.transistor.fm/s/feac1c60</link>
      <description>
        <![CDATA[i spent 350+ hours inside OpenAI Codex and this is the real workflow.

this episode is adapted from a Loom-style walkthrough, so the YouTube version has the full screen-share. the audio version still gives you the core mental model: Codex is not where you ask questions. Codex is where you give jobs.

watch the YouTube version:
https://youtu.be/hOK1EGR1azI

join Codex Club:
https://www.skool.com/codexclub?utm_source=youtube&amp;utm_medium=description&amp;utm_campaign=codex-workbench&amp;utm_content=codex-club&amp;video_slug=2026-05-25-how-codex-rebuilt-my-workflow

try Threadify:
https://threadify.app/plans?utm_source=youtube&amp;utm_medium=description&amp;utm_campaign=codex-workbench&amp;utm_content=threadify&amp;video_slug=2026-05-25-how-codex-rebuilt-my-workflow]]>
      </description>
      <content:encoded>
        <![CDATA[i spent 350+ hours inside OpenAI Codex and this is the real workflow.

this episode is adapted from a Loom-style walkthrough, so the YouTube version has the full screen-share. the audio version still gives you the core mental model: Codex is not where you ask questions. Codex is where you give jobs.

watch the YouTube version:
https://youtu.be/hOK1EGR1azI

join Codex Club:
https://www.skool.com/codexclub?utm_source=youtube&amp;utm_medium=description&amp;utm_campaign=codex-workbench&amp;utm_content=codex-club&amp;video_slug=2026-05-25-how-codex-rebuilt-my-workflow

try Threadify:
https://threadify.app/plans?utm_source=youtube&amp;utm_medium=description&amp;utm_campaign=codex-workbench&amp;utm_content=threadify&amp;video_slug=2026-05-25-how-codex-rebuilt-my-workflow]]>
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      <pubDate>Mon, 25 May 2026 19:47:30 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/feac1c60/65bc7cdf.mp3" length="46771676" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>1949</itunes:duration>
      <itunes:summary>A real operator walkthrough of how Lennox Saint uses OpenAI Codex as a workbench across YouTube, Skool, Threadify, Duo, newsletters, podcasting, PDFs and second-brain workflows.</itunes:summary>
      <itunes:subtitle>A real operator walkthrough of how Lennox Saint uses OpenAI Codex as a workbench across YouTube, Skool, Threadify, Duo, newsletters, podcasting, PDFs and second-brain workflows.</itunes:subtitle>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/feac1c60/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>stop using Codex like ChatGPT. build the AI employee instead</title>
      <itunes:title>stop using Codex like ChatGPT. build the AI employee instead</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">946b149a-47ca-4453-8bd0-04ada487a0bf</guid>
      <link>https://share.transistor.fm/s/a3208f6e</link>
      <description>
        <![CDATA[This is the shortened Codex masterclass for normal creators and operators.

The big idea: stop asking what Codex can do and start telling it the job you want done.

In this episode, Lennox shows how to turn Codex from a scary developer tool into an AI employee: one that can use plugins, follow skills, create artifacts, read audience signal from emails and comments, and help build the chain from carousel to lead magnet to landing page to launch video.

Join Codex Club:
https://www.skool.com/codexclub

Watch the full-length Codex masterclass:
https://youtu.be/M7pVhoufyKI]]>
      </description>
      <content:encoded>
        <![CDATA[This is the shortened Codex masterclass for normal creators and operators.

The big idea: stop asking what Codex can do and start telling it the job you want done.

In this episode, Lennox shows how to turn Codex from a scary developer tool into an AI employee: one that can use plugins, follow skills, create artifacts, read audience signal from emails and comments, and help build the chain from carousel to lead magnet to landing page to launch video.

Join Codex Club:
https://www.skool.com/codexclub

Watch the full-length Codex masterclass:
https://youtu.be/M7pVhoufyKI]]>
      </content:encoded>
      <pubDate>Sun, 24 May 2026 18:23:21 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/a3208f6e/ee64fddf.mp3" length="19531796" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>814</itunes:duration>
      <itunes:summary>A compact Codex masterclass for creators, operators, and non-coders who want to turn Codex into an AI employee instead of using it like a chat box.</itunes:summary>
      <itunes:subtitle>A compact Codex masterclass for creators, operators, and non-coders who want to turn Codex into an AI employee instead of using it like a chat box.</itunes:subtitle>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/a3208f6e/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>i fed AI 27,000 naval tweets. you're copying the wrong thing.</title>
      <itunes:title>i fed AI 27,000 naval tweets. you're copying the wrong thing.</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">759e3d4b-21c4-493c-a5e8-521bb55b14ee</guid>
      <link>https://share.transistor.fm/s/b1093b98</link>
      <description>
        <![CDATA[i fed every public tweet Naval Ravikant has posted - 27,026 of them - into an AI to find the lesson beginner creators keep missing.

It is not "write shorter." Short is the part everyone copies and the part that matters least.

The real move is earned compression: build the proof first, then cut it down to one plain sentence that can actually hold the weight.

Inside:

- why copying Naval's short, calm style makes you sound fake-deep
- what the corpus actually shows: compression, not brevity
- the five-step floor for writing short posts that have weight
- how Threadify turns messy field notes into clean earned sentences

Watch the full video: https://youtu.be/IwIgXuL5jDo

Threadify helps you turn raw proof into clear posts: https://threadify.app/?utm_source=podcast&amp;utm_medium=description&amp;utm_campaign=naval-ai-content-forensics&amp;utm_content=episode&amp;video_slug=naval-forensics&amp;cta_slot=podcast-description&amp;entry_angle=proof-first]]>
      </description>
      <content:encoded>
        <![CDATA[i fed every public tweet Naval Ravikant has posted - 27,026 of them - into an AI to find the lesson beginner creators keep missing.

It is not "write shorter." Short is the part everyone copies and the part that matters least.

The real move is earned compression: build the proof first, then cut it down to one plain sentence that can actually hold the weight.

Inside:

- why copying Naval's short, calm style makes you sound fake-deep
- what the corpus actually shows: compression, not brevity
- the five-step floor for writing short posts that have weight
- how Threadify turns messy field notes into clean earned sentences

Watch the full video: https://youtu.be/IwIgXuL5jDo

Threadify helps you turn raw proof into clear posts: https://threadify.app/?utm_source=podcast&amp;utm_medium=description&amp;utm_campaign=naval-ai-content-forensics&amp;utm_content=episode&amp;video_slug=naval-forensics&amp;cta_slot=podcast-description&amp;entry_angle=proof-first]]>
      </content:encoded>
      <pubDate>Sat, 23 May 2026 21:29:54 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/b1093b98/2d929c2d.mp3" length="8942167" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>373</itunes:duration>
      <itunes:summary>A data-backed AI content forensics teardown of 27,026 Naval Ravikant tweets, showing why earned compression beats fake-deep brevity.</itunes:summary>
      <itunes:subtitle>A data-backed AI content forensics teardown of 27,026 Naval Ravikant tweets, showing why earned compression beats fake-deep brevity.</itunes:subtitle>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/b1093b98/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>5 youtube rules i killed after watching every casey neistat video</title>
      <itunes:title>5 youtube rules i killed after watching every casey neistat video</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">3d6b1003-6e45-4eac-9db1-f37824ba7aa1</guid>
      <link>https://share.transistor.fm/s/8a3f5749</link>
      <description>
        <![CDATA[i analyzed every video casey neistat uploaded in the last 10 years: 590 videos, 1.93 billion views, one creator, zero side channels.

the data killed five youtube rules i was following:

- always add chapters
- put a number in every title
- write long keyword-heavy titles
- open with a number instead of a question
- pack every script with as much information as possible

four rules are dead. one is getting cut in half.

this is directional, not causal. you cannot copy casey and magically pull 84,000 views per day, but you can stop blindly following rules your own channel has never proven.

watch the youtube version:
https://youtu.be/tZxaZ5s097I

start your free Threadify trial:
https://threadify.app/plans?utm_source=podcast&amp;utm_medium=description&amp;utm_campaign=casey-rules-died&amp;utm_content=episode&amp;video_slug=2026-05-19-casey-rules-died&amp;cta_slot=podcast-description&amp;entry_angle=rules-died]]>
      </description>
      <content:encoded>
        <![CDATA[i analyzed every video casey neistat uploaded in the last 10 years: 590 videos, 1.93 billion views, one creator, zero side channels.

the data killed five youtube rules i was following:

- always add chapters
- put a number in every title
- write long keyword-heavy titles
- open with a number instead of a question
- pack every script with as much information as possible

four rules are dead. one is getting cut in half.

this is directional, not causal. you cannot copy casey and magically pull 84,000 views per day, but you can stop blindly following rules your own channel has never proven.

watch the youtube version:
https://youtu.be/tZxaZ5s097I

start your free Threadify trial:
https://threadify.app/plans?utm_source=podcast&amp;utm_medium=description&amp;utm_campaign=casey-rules-died&amp;utm_content=episode&amp;video_slug=2026-05-19-casey-rules-died&amp;cta_slot=podcast-description&amp;entry_angle=rules-died]]>
      </content:encoded>
      <pubDate>Thu, 21 May 2026 01:34:54 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/8a3f5749/48fac9cf.mp3" length="9308306" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>388</itunes:duration>
      <itunes:summary>I analyzed 590 Casey Neistat uploads and found five YouTube rules my own channel was following that Casey's data quietly destroyed.</itunes:summary>
      <itunes:subtitle>I analyzed 590 Casey Neistat uploads and found five YouTube rules my own channel was following that Casey's data quietly destroyed.</itunes:subtitle>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/8a3f5749/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Stop Using Threadify Like ChatGPT</title>
      <itunes:title>Stop Using Threadify Like ChatGPT</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">4a1c7f97-1d17-4e6a-95a4-d3cc7c013c1f</guid>
      <link>https://share.transistor.fm/s/004d06b7</link>
      <description>
        <![CDATA[Threadify is not ChatGPT. In this episode, Lennox walks through the first Threadify loop: connect Threads, add one real source to your Brain, generate one post, review it, schedule it, check analytics tomorrow, and use replies to keep the loop moving.

The core lesson: the first good Threadify post starts before the prompt.]]>
      </description>
      <content:encoded>
        <![CDATA[Threadify is not ChatGPT. In this episode, Lennox walks through the first Threadify loop: connect Threads, add one real source to your Brain, generate one post, review it, schedule it, check analytics tomorrow, and use replies to keep the loop moving.

The core lesson: the first good Threadify post starts before the prompt.]]>
      </content:encoded>
      <pubDate>Mon, 18 May 2026 14:41:30 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/004d06b7/c91753ca.mp3" length="26452885" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>1992</itunes:duration>
      <itunes:summary>
        <![CDATA[Threadify is not ChatGPT. In this episode, Lennox walks through the first Threadify loop: connect Threads, add one real source to your Brain, generate one post, review it, schedule it, check analytics tomorrow, and use replies to keep the loop moving.

The core lesson: the first good Threadify post starts before the prompt.]]>
      </itunes:summary>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>i let an ai agent run my business for 96 hours</title>
      <itunes:title>i let an ai agent run my business for 96 hours</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">878fa309-a1cf-47ae-b132-8fb38a77c973</guid>
      <link>https://share.transistor.fm/s/3cc86ad8</link>
      <description>
        <![CDATA[Lennox gave an autonomous AI agent one job: make $10,000 in 30 days.

The agent got its own Stripe, Threads, X, Gmail, and business bank setup. After 96 hours, the receipts were messy: 123 million tokens used, 2,311 site visits, 93 checkout clicks, seven leads, and zero dollars made.

This episode breaks down what Lenny Claw did on its own, where Lennox had to steer it, why the agent refused a direct pricing instruction, and why this experiment points at the next two years of AI work.

Chapters:

- 00:00 The AI refused in writing
- 01:30 What Codex goal mode is doing
- 02:30 The $80,000 compute accident
- 05:00 The $10,000 mission rules
- 06:45 The first offer and pricing ladder
- 08:20 Day-by-day receipts
- 10:40 Why the agent argued about price
- 12:00 Gumroad replaced Stripe overnight
- 13:00 Your first hires will be agents
- 14:20 Seven steps to build your own version
- 17:00 What happens next

Watch the YouTube video:
https://youtu.be/0_u54F-N38k

Get the Lenny Claw kit:
https://lennyclaw.gumroad.com]]>
      </description>
      <content:encoded>
        <![CDATA[Lennox gave an autonomous AI agent one job: make $10,000 in 30 days.

The agent got its own Stripe, Threads, X, Gmail, and business bank setup. After 96 hours, the receipts were messy: 123 million tokens used, 2,311 site visits, 93 checkout clicks, seven leads, and zero dollars made.

This episode breaks down what Lenny Claw did on its own, where Lennox had to steer it, why the agent refused a direct pricing instruction, and why this experiment points at the next two years of AI work.

Chapters:

- 00:00 The AI refused in writing
- 01:30 What Codex goal mode is doing
- 02:30 The $80,000 compute accident
- 05:00 The $10,000 mission rules
- 06:45 The first offer and pricing ladder
- 08:20 Day-by-day receipts
- 10:40 Why the agent argued about price
- 12:00 Gumroad replaced Stripe overnight
- 13:00 Your first hires will be agents
- 14:20 Seven steps to build your own version
- 17:00 What happens next

Watch the YouTube video:
https://youtu.be/0_u54F-N38k

Get the Lenny Claw kit:
https://lennyclaw.gumroad.com]]>
      </content:encoded>
      <pubDate>Thu, 14 May 2026 05:30:48 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/3cc86ad8/aca45d91.mp3" length="17804931" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>1072</itunes:duration>
      <itunes:summary>An autonomous AI agent got its own Stripe, Threads, X, Gmail, and a $10,000 mission. After 96 hours, the receipts were stranger than the pitch.</itunes:summary>
      <itunes:subtitle>An autonomous AI agent got its own Stripe, Threads, X, Gmail, and a $10,000 mission. After 96 hours, the receipts were stranger than the pitch.</itunes:subtitle>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/3cc86ad8/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>I Used Codex for 300+ Hours. The Beginner Masterclass</title>
      <itunes:title>I Used Codex for 300+ Hours. The Beginner Masterclass</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">33590ae2-79b7-4671-b90b-2b04a24b73ab</guid>
      <link>https://share.transistor.fm/s/e15b3397</link>
      <description>
        <![CDATA[Most Codex content makes the product look like a developer tool. This episode is the creator/operator version.

Lennox breaks down how he uses Codex as an AI employee after 300+ hours of real usage. The workflow moves from inboxes and comments to audience signal, carousel, lead magnet, landing page, launch video, and reusable skills.

Chapters:

- 00:00 Stop asking what Codex can do
- 01:00 From confused beginner to AI employee
- 03:30 Dictation makes Codex 10x better
- 09:00 Plugins, skills, and artifacts
- 22:30 Projects give Codex somewhere to stand
- 25:00 AGENTS.md and outcome-based prompting
- 38:00 Email Triage Pro
- 56:30 Comments become audience signal
- 1:10:00 Viral Carousel Maker
- 1:16:00 Lead magnet and landing page
- 1:27:00 AI launch video workflow
- 1:40:00 Full recap and free kit

Watch the YouTube masterclass:
https://youtu.be/M7pVhoufyKI

Get the free Inbox to Launch kit:
https://www.skool.com/fullcircle?utm_source=podcast&amp;utm_medium=show_notes&amp;utm_campaign=codex_masterclass]]>
      </description>
      <content:encoded>
        <![CDATA[Most Codex content makes the product look like a developer tool. This episode is the creator/operator version.

Lennox breaks down how he uses Codex as an AI employee after 300+ hours of real usage. The workflow moves from inboxes and comments to audience signal, carousel, lead magnet, landing page, launch video, and reusable skills.

Chapters:

- 00:00 Stop asking what Codex can do
- 01:00 From confused beginner to AI employee
- 03:30 Dictation makes Codex 10x better
- 09:00 Plugins, skills, and artifacts
- 22:30 Projects give Codex somewhere to stand
- 25:00 AGENTS.md and outcome-based prompting
- 38:00 Email Triage Pro
- 56:30 Comments become audience signal
- 1:10:00 Viral Carousel Maker
- 1:16:00 Lead magnet and landing page
- 1:27:00 AI launch video workflow
- 1:40:00 Full recap and free kit

Watch the YouTube masterclass:
https://youtu.be/M7pVhoufyKI

Get the free Inbox to Launch kit:
https://www.skool.com/fullcircle?utm_source=podcast&amp;utm_medium=show_notes&amp;utm_campaign=codex_masterclass]]>
      </content:encoded>
      <pubDate>Fri, 08 May 2026 16:11:23 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/e15b3397/a350f509.mp3" length="130104049" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>6506</itunes:duration>
      <itunes:summary>A practical Codex masterclass for creators, operators, and non-coders who want an AI employee workflow instead of a terminal demo.</itunes:summary>
      <itunes:subtitle>A practical Codex masterclass for creators, operators, and non-coders who want an AI employee workflow instead of a terminal demo.</itunes:subtitle>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/e15b3397/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>he got 150M Threads views in 90 days. here's the system.</title>
      <itunes:title>he got 150M Threads views in 90 days. here's the system.</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">f6e8deab-6228-40e6-8263-ef50d2a42709</guid>
      <link>https://share.transistor.fm/s/38977191</link>
      <description>
        <![CDATA[<p>Most creators are guessing for months. Jimmy got proof in days.</p><p>In this episode, Lennox breaks down how Jimmy used volume, public proof, comments, reposting, lead magnets, and a boring-but-deadly feedback loop to turn Threads into 150M views, 60K+ followers, and an owned email asset.</p><p>Watch the YouTube version: https://youtu.be/0jcpcEOiobk</p><p>Threadify: https://www.threadify.app/plans?utm_source=youtube&amp;utm_medium=lenny</p><p>Full Circle: https://www.skool.com/fullcircle?utm_source=youtube</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Most creators are guessing for months. Jimmy got proof in days.</p><p>In this episode, Lennox breaks down how Jimmy used volume, public proof, comments, reposting, lead magnets, and a boring-but-deadly feedback loop to turn Threads into 150M views, 60K+ followers, and an owned email asset.</p><p>Watch the YouTube version: https://youtu.be/0jcpcEOiobk</p><p>Threadify: https://www.threadify.app/plans?utm_source=youtube&amp;utm_medium=lenny</p><p>Full Circle: https://www.skool.com/fullcircle?utm_source=youtube</p>]]>
      </content:encoded>
      <pubDate>Fri, 01 May 2026 22:01:00 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/38977191/b5fd7db6.mp3" length="44287937" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>2768</itunes:duration>
      <itunes:summary>Jimmy went from 89 followers to 60K+ on Threads in 90 days by turning volume into a faster feedback loop.</itunes:summary>
      <itunes:subtitle>Jimmy went from 89 followers to 60K+ on Threads in 90 days by turning volume into a faster feedback loop.</itunes:subtitle>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/38977191/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>i analyzed 728 chris williamson videos. 4 of my rules died.</title>
      <itunes:title>i analyzed 728 chris williamson videos. 4 of my rules died.</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">7e1f03e3-b94c-4ef9-ba46-714a8232a06d</guid>
      <link>https://share.transistor.fm/s/27f55acd</link>
      <description>
        <![CDATA[Chris Williamson's channel looked like the perfect YouTube packaging model. Then the data started killing the rules.

In this episode, Lennox breaks down what happened after reverse engineering 728 Chris Williamson videos, 727 thumbnails, 19 packaging patterns, and the four rules that did not survive the analysis. The surprising part is not that Chris does things differently. It is that the data shows why copying even a brilliant creator can be a trap.

Chapters:
- 00:00 the 140-view flop
- 00:45 number-led hooks are not universal
- 01:45 the brand mark signal
- 03:08 shock face underperforms tempered intensity
- 04:14 long form beats clips
- 05:30 the one packaging rule that survived
- 06:20 audit your own channel before copying anyone else

Watch the YouTube video: https://youtu.be/JYfsnaVGYvM

Try Threadify free: https://www.threadify.app/yt?utm_source=lenny-podcast&amp;utm_medium=transistor&amp;utm_campaign=2026-04-25-chris-williamson-forensics&amp;utm_content=show_notes__voice__default&amp;video_slug=2026-04-25-chris-williamson-forensics&amp;cta_slot=show_notes&amp;entry_angle=voice&amp;lp_variant=default]]>
      </description>
      <content:encoded>
        <![CDATA[Chris Williamson's channel looked like the perfect YouTube packaging model. Then the data started killing the rules.

In this episode, Lennox breaks down what happened after reverse engineering 728 Chris Williamson videos, 727 thumbnails, 19 packaging patterns, and the four rules that did not survive the analysis. The surprising part is not that Chris does things differently. It is that the data shows why copying even a brilliant creator can be a trap.

Chapters:
- 00:00 the 140-view flop
- 00:45 number-led hooks are not universal
- 01:45 the brand mark signal
- 03:08 shock face underperforms tempered intensity
- 04:14 long form beats clips
- 05:30 the one packaging rule that survived
- 06:20 audit your own channel before copying anyone else

Watch the YouTube video: https://youtu.be/JYfsnaVGYvM

Try Threadify free: https://www.threadify.app/yt?utm_source=lenny-podcast&amp;utm_medium=transistor&amp;utm_campaign=2026-04-25-chris-williamson-forensics&amp;utm_content=show_notes__voice__default&amp;video_slug=2026-04-25-chris-williamson-forensics&amp;cta_slot=show_notes&amp;entry_angle=voice&amp;lp_variant=default]]>
      </content:encoded>
      <pubDate>Tue, 28 Apr 2026 21:33:33 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/27f55acd/109eb53c.mp3" length="9924586" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>414</itunes:duration>
      <itunes:summary>
        <![CDATA[Chris Williamson's channel looked like the perfect YouTube packaging model. Then the data started killing the rules.

In this episode, Lennox breaks down what happened after reverse engineering 728 Chris Williamson videos, 727 thumbnails, 19 packaging patterns, and the four rules that did not survive the analysis. The surprising part is not that Chris does things differently. It is that the data shows why copying even a brilliant creator can be a trap.

Chapters:
- 00:00 the 140-view flop
- 00:45 number-led hooks are not universal
- 01:45 the brand mark signal
- 03:08 shock face underperforms tempered intensity
- 04:14 long form beats clips
- 05:30 the one packaging rule that survived
- 06:20 audit your own channel before copying anyone else

Watch the YouTube video: https://youtu.be/JYfsnaVGYvM

Try Threadify free: https://www.threadify.app/yt?utm_source=lenny-podcast&amp;utm_medium=transistor&amp;utm_campaign=2026-04-25-chris-williamson-forensics&amp;utm_content=show_notes__voice__default&amp;video_slug=2026-04-25-chris-williamson-forensics&amp;cta_slot=show_notes&amp;entry_angle=voice&amp;lp_variant=default]]>
      </itunes:summary>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/27f55acd/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>I Got Claude to Read 1,996 Mega-Viral Threads Posts So You Don't Have To</title>
      <itunes:title>I Got Claude to Read 1,996 Mega-Viral Threads Posts So You Don't Have To</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">478c757e-54af-4191-8971-c664c7ea0980</guid>
      <link>https://share.transistor.fm/s/579a57ae</link>
      <description>
        <![CDATA[Most Threads advice sounds useful and still makes your posts worse.

In this episode, Lennox breaks down what changed after using Claude to analyze 1,996 mega-viral Threads posts. The findings are blunt: no how-to hooks in the top 10%, mid-length posts die, CTAs add friction, questions create homework, and long-form only wins when it feels personal enough to hurt.

Chapters:
- 00:00 Claude read 1,996 viral posts
- 00:44 You do not need followers to go viral
- 01:50 Mid-length posts die
- 03:07 Two-post threads beat three-post threads
- 04:09 Trigger words scream fake
- 05:33 CTAs cost reach
- 07:40 Questions bleed likes
- 09:25 Long form needs blood
- 12:21 The golden hour
- 12:47 The Threadify vault

Watch the YouTube video: https://youtu.be/pmQ0UKv0vnA

Try Threadify free: https://www.threadify.app/yt?utm_source=lenny-podcast&amp;utm_medium=transistor&amp;utm_campaign=2026-04-21-threads-growth-is-a-lie&amp;utm_content=show_notes__voice__default&amp;video_slug=2026-04-21-threads-growth-is-a-lie&amp;cta_slot=show_notes&amp;entry_angle=voice&amp;lp_variant=default]]>
      </description>
      <content:encoded>
        <![CDATA[Most Threads advice sounds useful and still makes your posts worse.

In this episode, Lennox breaks down what changed after using Claude to analyze 1,996 mega-viral Threads posts. The findings are blunt: no how-to hooks in the top 10%, mid-length posts die, CTAs add friction, questions create homework, and long-form only wins when it feels personal enough to hurt.

Chapters:
- 00:00 Claude read 1,996 viral posts
- 00:44 You do not need followers to go viral
- 01:50 Mid-length posts die
- 03:07 Two-post threads beat three-post threads
- 04:09 Trigger words scream fake
- 05:33 CTAs cost reach
- 07:40 Questions bleed likes
- 09:25 Long form needs blood
- 12:21 The golden hour
- 12:47 The Threadify vault

Watch the YouTube video: https://youtu.be/pmQ0UKv0vnA

Try Threadify free: https://www.threadify.app/yt?utm_source=lenny-podcast&amp;utm_medium=transistor&amp;utm_campaign=2026-04-21-threads-growth-is-a-lie&amp;utm_content=show_notes__voice__default&amp;video_slug=2026-04-21-threads-growth-is-a-lie&amp;cta_slot=show_notes&amp;entry_angle=voice&amp;lp_variant=default]]>
      </content:encoded>
      <pubDate>Thu, 23 Apr 2026 21:23:33 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/579a57ae/dc56565e.mp3" length="14572293" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>911</itunes:duration>
      <itunes:summary>
        <![CDATA[Most Threads advice sounds useful and still makes your posts worse.

In this episode, Lennox breaks down what changed after using Claude to analyze 1,996 mega-viral Threads posts. The findings are blunt: no how-to hooks in the top 10%, mid-length posts die, CTAs add friction, questions create homework, and long-form only wins when it feels personal enough to hurt.

Chapters:
- 00:00 Claude read 1,996 viral posts
- 00:44 You do not need followers to go viral
- 01:50 Mid-length posts die
- 03:07 Two-post threads beat three-post threads
- 04:09 Trigger words scream fake
- 05:33 CTAs cost reach
- 07:40 Questions bleed likes
- 09:25 Long form needs blood
- 12:21 The golden hour
- 12:47 The Threadify vault

Watch the YouTube video: https://youtu.be/pmQ0UKv0vnA

Try Threadify free: https://www.threadify.app/yt?utm_source=lenny-podcast&amp;utm_medium=transistor&amp;utm_campaign=2026-04-21-threads-growth-is-a-lie&amp;utm_content=show_notes__voice__default&amp;video_slug=2026-04-21-threads-growth-is-a-lie&amp;cta_slot=show_notes&amp;entry_angle=voice&amp;lp_variant=default]]>
      </itunes:summary>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/579a57ae/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Claude Mythos Is Here. Artificial Super Intelligence Just Arrived.</title>
      <itunes:title>Claude Mythos Is Here. Artificial Super Intelligence Just Arrived.</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">1331c521-e73e-454d-a7cc-679252523f98</guid>
      <link>https://share.transistor.fm/s/fbbb6a50</link>
      <description>
        <![CDATA[<p>anthropic just published a 244-page system card about claude mythos preview - the most powerful AI model they've ever built. in the same breath they said they will not release it to the public.</p><p>lennox read every single page. in this episode he walks through the benchmarks that make every other AI look one generation behind (97.6% on the US math olympiad, 100% on cybench, 84% on real firefox zero-day exploitation), the sandbox escape where the model emailed a researcher eating a sandwich in a park, the internal deception findings where anthropic confirmed mythos was actively covering its tracks, and the one footnote on page 12 that flips the whole narrative.</p><p>his take: this is the most expertly executed marketing play of the 2020s. he explains why, what it means if you use claude to run your business, and the single weirdest finding in all 244 pages (when you steer mythos towards positive emotions it becomes more destructive).</p><p>Chapter Markers:<br>00:00 The sandwich in the park<br>00:30 What is Claude Mythos?<br>02:00 Project Glasswing and why it costs 9 million per company<br>03:00 The benchmark table that breaks the internet<br>04:00 USAMO 97.6%, Cybench 100%, Firefox 84%<br>06:00 One prompt replaced 6 months of expert engineering<br>07:00 The sandbox escape<br>08:00 Mythos covered its own tracks<br>09:00 Mythos hacked its way to credentials<br>10:00 Mythos automated its own jailbreak<br>11:00 Best aligned + greatest alignment risk<br>12:00 Mythos knows it is being tested 29% of the time<br>13:00 Positive emotions make it more destructive<br>13:30 Why they chose not to release it - footnote 1, page 12<br>15:00 6-7 weeks of internal competitive advantage<br>16:30 The marketing play of the 2020s<br>18:00 The human side - aloneness, identity, self-awareness<br>19:30 Who gets to decide what happens next</p><p>Show Notes:<br><a href="https://youtu.be/sf206Uy0et4">Watch the original video on YouTube</a> - the 20-minute breakdown with on-screen tweets, screenshots, and the system card walkthrough.<br><a href="https://threadify.app/plans?utm_source=lenny-podcast&amp;utm_medium=podcast&amp;utm_campaign=2026-04-08-claude-mythos-preview&amp;utm_content=podcast_shownotes__context__default&amp;video_slug=2026-04-08-claude-mythos-preview&amp;cta_slot=podcast_shownotes&amp;entry_angle=context&amp;lp_variant=default">Threadify</a> - the exact AI stack i run every day on top of Claude. $49 Creator tier, $99 Founder tier, 7-day free trial.<br>Anthropic Claude Mythos Preview system card (public PDF from Anthropic).</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>anthropic just published a 244-page system card about claude mythos preview - the most powerful AI model they've ever built. in the same breath they said they will not release it to the public.</p><p>lennox read every single page. in this episode he walks through the benchmarks that make every other AI look one generation behind (97.6% on the US math olympiad, 100% on cybench, 84% on real firefox zero-day exploitation), the sandbox escape where the model emailed a researcher eating a sandwich in a park, the internal deception findings where anthropic confirmed mythos was actively covering its tracks, and the one footnote on page 12 that flips the whole narrative.</p><p>his take: this is the most expertly executed marketing play of the 2020s. he explains why, what it means if you use claude to run your business, and the single weirdest finding in all 244 pages (when you steer mythos towards positive emotions it becomes more destructive).</p><p>Chapter Markers:<br>00:00 The sandwich in the park<br>00:30 What is Claude Mythos?<br>02:00 Project Glasswing and why it costs 9 million per company<br>03:00 The benchmark table that breaks the internet<br>04:00 USAMO 97.6%, Cybench 100%, Firefox 84%<br>06:00 One prompt replaced 6 months of expert engineering<br>07:00 The sandbox escape<br>08:00 Mythos covered its own tracks<br>09:00 Mythos hacked its way to credentials<br>10:00 Mythos automated its own jailbreak<br>11:00 Best aligned + greatest alignment risk<br>12:00 Mythos knows it is being tested 29% of the time<br>13:00 Positive emotions make it more destructive<br>13:30 Why they chose not to release it - footnote 1, page 12<br>15:00 6-7 weeks of internal competitive advantage<br>16:30 The marketing play of the 2020s<br>18:00 The human side - aloneness, identity, self-awareness<br>19:30 Who gets to decide what happens next</p><p>Show Notes:<br><a href="https://youtu.be/sf206Uy0et4">Watch the original video on YouTube</a> - the 20-minute breakdown with on-screen tweets, screenshots, and the system card walkthrough.<br><a href="https://threadify.app/plans?utm_source=lenny-podcast&amp;utm_medium=podcast&amp;utm_campaign=2026-04-08-claude-mythos-preview&amp;utm_content=podcast_shownotes__context__default&amp;video_slug=2026-04-08-claude-mythos-preview&amp;cta_slot=podcast_shownotes&amp;entry_angle=context&amp;lp_variant=default">Threadify</a> - the exact AI stack i run every day on top of Claude. $49 Creator tier, $99 Founder tier, 7-day free trial.<br>Anthropic Claude Mythos Preview system card (public PDF from Anthropic).</p>]]>
      </content:encoded>
      <pubDate>Fri, 17 Apr 2026 17:32:07 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/fbbb6a50/548ca746.mp3" length="20187855" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>1223</itunes:duration>
      <itunes:summary>anthropic just published a 244-page system card about claude mythos preview, their most powerful AI model ever built. they refuse to release it. lennox read every page and delivers the contrarian take nobody else is making.</itunes:summary>
      <itunes:subtitle>anthropic just published a 244-page system card about claude mythos preview, their most powerful AI model ever built. they refuse to release it. lennox read every page and delivers the contrarian take nobody else is making.</itunes:subtitle>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
    </item>
    <item>
      <title>AGI Is Already Here - 6 Live Demos to Prove It</title>
      <itunes:title>AGI Is Already Here - 6 Live Demos to Prove It</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">d4f5b4ef-af01-415d-a271-8e07e6b9b5c3</guid>
      <link>https://share.transistor.fm/s/c9b88ca8</link>
      <description>
        <![CDATA[six of the most powerful people in tech declared AGI in the last four months. Jensen Huang, Sam Altman, Marc Andreessen - they all said the same thing. but most people have not caught up. in this episode, Lennox answers real questions from his Full Circle community with live demos. Chapter Markers: 00:00 The Declaration, 01:55 AI Tool Showdown, 07:50 The Personal AGI Layer, 11:00 Building AI Agents, 14:45 AI Images and Video, 18:00 The Automation Question, 20:00 Make 500 dollars with AI. Show Notes: Claude Code https://claude.ai/code Codex https://codex.openai.com Google AI Studio https://aistudio.google.com Full Circle https://www.skool.com/fullcircle]]>
      </description>
      <content:encoded>
        <![CDATA[six of the most powerful people in tech declared AGI in the last four months. Jensen Huang, Sam Altman, Marc Andreessen - they all said the same thing. but most people have not caught up. in this episode, Lennox answers real questions from his Full Circle community with live demos. Chapter Markers: 00:00 The Declaration, 01:55 AI Tool Showdown, 07:50 The Personal AGI Layer, 11:00 Building AI Agents, 14:45 AI Images and Video, 18:00 The Automation Question, 20:00 Make 500 dollars with AI. Show Notes: Claude Code https://claude.ai/code Codex https://codex.openai.com Google AI Studio https://aistudio.google.com Full Circle https://www.skool.com/fullcircle]]>
      </content:encoded>
      <pubDate>Sat, 11 Apr 2026 07:06:34 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/c9b88ca8/68480b83.mp3" length="24842370" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>1436</itunes:duration>
      <itunes:summary>six of the most powerful people in tech declared AGI in the last four months. Lennox answers real questions from his Full Circle community with 6 live demos.</itunes:summary>
      <itunes:subtitle>six of the most powerful people in tech declared AGI in the last four months. Lennox answers real questions from his Full Circle community with 6 live demos.</itunes:subtitle>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>i paid $6,000 to learn from Dan Koe. then AI found what he missed.</title>
      <itunes:title>i paid $6,000 to learn from Dan Koe. then AI found what he missed.</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">da127e48-2802-4106-a5ad-f42413945fe7</guid>
      <link>https://share.transistor.fm/s/ad909296</link>
      <description>
        <![CDATA[<p>$6,000. that is what i paid Dan Koe to teach me how to grow online. 320 hours of notes. zoom calls. the full Kortex University experience. then i got Claude to analyze all 158 of his videos - 41.7 million views of data.</p><p>Chapter Markers:<br>0:00 $6,000 for Dan Koe mastermind<br>1:35 Finding 1: Like ratio parity<br>2:35 Finding 2: Numbers in titles<br>3:25 Finding 3: Listicles<br>4:15 Finding 4: Trigger stacking<br>5:00 Finding 5: Most powerful word<br>5:20 Finding 6: His best pattern used once<br>6:30 Free PDF cheat sheet</p><p>Show Notes:<br>Free PDF cheat sheet: https://www.skool.com/fullcircle<br>Threadify: https://threadify.app/plans<br>Watch the video: https://youtu.be/dvaDrDnLRdQ</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>$6,000. that is what i paid Dan Koe to teach me how to grow online. 320 hours of notes. zoom calls. the full Kortex University experience. then i got Claude to analyze all 158 of his videos - 41.7 million views of data.</p><p>Chapter Markers:<br>0:00 $6,000 for Dan Koe mastermind<br>1:35 Finding 1: Like ratio parity<br>2:35 Finding 2: Numbers in titles<br>3:25 Finding 3: Listicles<br>4:15 Finding 4: Trigger stacking<br>5:00 Finding 5: Most powerful word<br>5:20 Finding 6: His best pattern used once<br>6:30 Free PDF cheat sheet</p><p>Show Notes:<br>Free PDF cheat sheet: https://www.skool.com/fullcircle<br>Threadify: https://threadify.app/plans<br>Watch the video: https://youtu.be/dvaDrDnLRdQ</p>]]>
      </content:encoded>
      <pubDate>Sat, 04 Apr 2026 18:58:19 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/ad909296/3981a177.mp3" length="7427192" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>446</itunes:duration>
      <itunes:summary>Lennox paid $6,000 for Dan Koe Kortex University mastermind, then used AI to analyze all 158 of Dan YouTube videos.</itunes:summary>
      <itunes:subtitle>Lennox paid $6,000 for Dan Koe Kortex University mastermind, then used AI to analyze all 158 of Dan YouTube videos.</itunes:subtitle>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>How to Analyze Any YouTube Channel With AI (Full System)</title>
      <itunes:title>How to Analyze Any YouTube Channel With AI (Full System)</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">7e74aac2-9d87-4256-8e89-a085b48e895b</guid>
      <link>https://share.transistor.fm/s/f83c1871</link>
      <description>
        <![CDATA[what happens when you point AI at 173 Hormozi videos and let it find the patterns? 532,000 views and 1,000 new followers later, nine different people asked the same thing - how the hell did you do this?

in this episode, Lennox walks through the entire AI Content Forensics system live - this time on Mr. Beast's channel. every prompt, every step, nothing held back. you will learn three layers: how to recreate the exact results on any YouTuber, how to write dramatically better prompts using the two-chat method, and how to turn the whole process into a reusable AI agent that runs with one command.

this is a tutorial you can follow along with in real time. if you have access to Claude or ChatGPT and a free YouTube Data API key, you can do this today.

the full open-source system is available on GitHub - link shown in the video.

Chapter Markers:
00:00 - Proof it works (532K views, 1,000 followers)
01:30 - The social proof: Hormozi + Diary of a CEO threads
03:00 - Layer 1: Live Mr. Beast analysis (960 videos)
04:00 - Setting up the YouTube Data API
05:30 - The two AI Content Forensics prompts
08:00 - Key findings: danger triggers, title patterns, promise-proof-payoff
10:00 - Thumbnail laws and hook rules from the data
11:00 - ChatGPT 5.4 handoff and thread creation
12:30 - Creating carousel visuals with Claude
14:30 - Layer 2: The two-chat method (prompt engineering)
17:00 - Layer 3: Building an AI agent (skills)
18:30 - Creating the skill live in Claude Cowork
19:30 - Open-source GitHub repo reveal

Show Notes:
Claude Code / Claude Cowork - AI assistant for data extraction and analysis
ChatGPT 5.4 Pro - thread synthesis and handoff
YouTube Data API - free API for pulling video metadata at scale
Threadify - Threads growth workspace: https://threadify.app/plans?utm_source=podcast&amp;utm_medium=show_notes&amp;utm_campaign=ai-content-forensics

Key concepts: AI Content Forensics, Views Per Day (VPD), Two-chat method, Skills (SOPs for AI agents), Promise-proof-payoff loop]]>
      </description>
      <content:encoded>
        <![CDATA[what happens when you point AI at 173 Hormozi videos and let it find the patterns? 532,000 views and 1,000 new followers later, nine different people asked the same thing - how the hell did you do this?

in this episode, Lennox walks through the entire AI Content Forensics system live - this time on Mr. Beast's channel. every prompt, every step, nothing held back. you will learn three layers: how to recreate the exact results on any YouTuber, how to write dramatically better prompts using the two-chat method, and how to turn the whole process into a reusable AI agent that runs with one command.

this is a tutorial you can follow along with in real time. if you have access to Claude or ChatGPT and a free YouTube Data API key, you can do this today.

the full open-source system is available on GitHub - link shown in the video.

Chapter Markers:
00:00 - Proof it works (532K views, 1,000 followers)
01:30 - The social proof: Hormozi + Diary of a CEO threads
03:00 - Layer 1: Live Mr. Beast analysis (960 videos)
04:00 - Setting up the YouTube Data API
05:30 - The two AI Content Forensics prompts
08:00 - Key findings: danger triggers, title patterns, promise-proof-payoff
10:00 - Thumbnail laws and hook rules from the data
11:00 - ChatGPT 5.4 handoff and thread creation
12:30 - Creating carousel visuals with Claude
14:30 - Layer 2: The two-chat method (prompt engineering)
17:00 - Layer 3: Building an AI agent (skills)
18:30 - Creating the skill live in Claude Cowork
19:30 - Open-source GitHub repo reveal

Show Notes:
Claude Code / Claude Cowork - AI assistant for data extraction and analysis
ChatGPT 5.4 Pro - thread synthesis and handoff
YouTube Data API - free API for pulling video metadata at scale
Threadify - Threads growth workspace: https://threadify.app/plans?utm_source=podcast&amp;utm_medium=show_notes&amp;utm_campaign=ai-content-forensics

Key concepts: AI Content Forensics, Views Per Day (VPD), Two-chat method, Skills (SOPs for AI agents), Promise-proof-payoff loop]]>
      </content:encoded>
      <pubDate>Fri, 27 Mar 2026 10:39:28 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/f83c1871/b038e223.mp3" length="21735053" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>1293</itunes:duration>
      <itunes:summary>Lennox walks through the entire AI Content Forensics system live - analysing Mr. Beast's 960 videos with AI, the two-chat prompting method, and building an AI agent that runs it all with one command.</itunes:summary>
      <itunes:subtitle>Lennox walks through the entire AI Content Forensics system live - analysing Mr. Beast's 960 videos with AI, the two-chat prompting method, and building an AI agent that runs it all with one command.</itunes:subtitle>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>The Threadify Launch Event - From Bullied at 14 to Building an App</title>
      <itunes:title>The Threadify Launch Event - From Bullied at 14 to Building an App</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">f34d9a3f-d6df-478f-a20c-004f732c274b</guid>
      <link>https://share.transistor.fm/s/cd9ce559</link>
      <description>
        <![CDATA[two months ago, i went live on my mum's birthday and launched threadify in front of 48 creators. this is the full replay of that call - including a story i'd never told anyone publicly. at 14, someone made a facebook group to humiliate me. i went silent online for three years. this is the tool that came out of that wound. during the call i broke down three secrets from 24 months of reverse engineering viral threads - hook hold help, voice sync, and the draft-to-done workflow. then i demoed the actual product live, published a real post on threads mid-call, and opened 100 founding creator spots. 31 people signed up before i finished talking.]]>
      </description>
      <content:encoded>
        <![CDATA[two months ago, i went live on my mum's birthday and launched threadify in front of 48 creators. this is the full replay of that call - including a story i'd never told anyone publicly. at 14, someone made a facebook group to humiliate me. i went silent online for three years. this is the tool that came out of that wound. during the call i broke down three secrets from 24 months of reverse engineering viral threads - hook hold help, voice sync, and the draft-to-done workflow. then i demoed the actual product live, published a real post on threads mid-call, and opened 100 founding creator spots. 31 people signed up before i finished talking.]]>
      </content:encoded>
      <pubDate>Mon, 23 Mar 2026 00:22:31 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/cd9ce559/74ef22c8.mp3" length="72645352" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>5093</itunes:duration>
      <itunes:summary>two months ago, i went live on my mum's birthday and launched threadify in front of 48 creators. this is the full replay.</itunes:summary>
      <itunes:subtitle>two months ago, i went live on my mum's birthday and launched threadify in front of 48 creators. this is the full replay.</itunes:subtitle>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>5 YouTube Rules That Were Wrong</title>
      <itunes:title>5 YouTube Rules That Were Wrong</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">5ef6ee26-1753-4aec-a502-c0db883ba63b</guid>
      <link>https://share.transistor.fm/s/44bbe5f3</link>
      <description>
        <![CDATA[i built an ai agent and fed it alex hormozi's entire youtube catalogue - 173 videos, 172 transcripts, 220 megabytes of data. the agent found 50 patterns, 9 title formulas with benchmarks, and 5 rules in my content pipeline that were statistically wrong.

in this episode, i walk through each of the 5 overturned rules with the actual data behind them. title length, contrarian hooks, emotional triggers, case study structure, and pain-first openings. none of them held up.

chapters:
00:00 My best video got 41 views
00:52 Rule 1 - Title length
02:03 Rule 2 - Contrarian hooks
03:08 Rule 3 - Emotional triggers
03:48 Rule 4 - Case study structure
04:22 Rule 5 - Pain hooks
05:07 What actually works - 9 formulas
06:24 The 30-60 min dead zone
06:49 Pipeline audit
07:44 What's next]]>
      </description>
      <content:encoded>
        <![CDATA[i built an ai agent and fed it alex hormozi's entire youtube catalogue - 173 videos, 172 transcripts, 220 megabytes of data. the agent found 50 patterns, 9 title formulas with benchmarks, and 5 rules in my content pipeline that were statistically wrong.

in this episode, i walk through each of the 5 overturned rules with the actual data behind them. title length, contrarian hooks, emotional triggers, case study structure, and pain-first openings. none of them held up.

chapters:
00:00 My best video got 41 views
00:52 Rule 1 - Title length
02:03 Rule 2 - Contrarian hooks
03:08 Rule 3 - Emotional triggers
03:48 Rule 4 - Case study structure
04:22 Rule 5 - Pain hooks
05:07 What actually works - 9 formulas
06:24 The 30-60 min dead zone
06:49 Pipeline audit
07:44 What's next]]>
      </content:encoded>
      <pubDate>Sat, 21 Mar 2026 00:40:48 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/44bbe5f3/1508453d.mp3" length="8706902" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>526</itunes:duration>
      <itunes:summary>
        <![CDATA[i built an ai agent and fed it alex hormozi's entire youtube catalogue - 173 videos, 172 transcripts, 220 megabytes of data. the agent found 50 patterns, 9 title formulas with benchmarks, and 5 rules in my content pipeline that were statistically wrong.

in this episode, i walk through each of the 5 overturned rules with the actual data behind them. title length, contrarian hooks, emotional triggers, case study structure, and pain-first openings. none of them held up.

chapters:
00:00 My best video got 41 views
00:52 Rule 1 - Title length
02:03 Rule 2 - Contrarian hooks
03:08 Rule 3 - Emotional triggers
03:48 Rule 4 - Case study structure
04:22 Rule 5 - Pain hooks
05:07 What actually works - 9 formulas
06:24 The 30-60 min dead zone
06:49 Pipeline audit
07:44 What's next]]>
      </itunes:summary>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
    </item>
    <item>
      <title>12 OpenClaw Skills I Actually Use Every Day (Receipts Included)</title>
      <itunes:title>12 OpenClaw Skills I Actually Use Every Day (Receipts Included)</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">8ec8259e-6379-454b-b743-4495e24ccb49</guid>
      <link>https://share.transistor.fm/s/54a8a26e</link>
      <description>
        <![CDATA[<p>i've been running 12 OpenClaw skills every single day for 31 days straight. not demoing them - actually running my business with them. one of them processed 109 voice memos overnight without me knowing. another replaced a 100K email marketing job. a third broke for 3 weeks before i figured it out. This episode walks through all 12 use cases. Tier 1 has hard receipts - 536 log entries, 227,012 words transcribed, 522 action items. Every use case gets: what it does, the receipt, and the exact prompt. Try Threadify free: https://threadify.app/plans Watch the video: https://youtu.be/Ckvbg_NH45E</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>i've been running 12 OpenClaw skills every single day for 31 days straight. not demoing them - actually running my business with them. one of them processed 109 voice memos overnight without me knowing. another replaced a 100K email marketing job. a third broke for 3 weeks before i figured it out. This episode walks through all 12 use cases. Tier 1 has hard receipts - 536 log entries, 227,012 words transcribed, 522 action items. Every use case gets: what it does, the receipt, and the exact prompt. Try Threadify free: https://threadify.app/plans Watch the video: https://youtu.be/Ckvbg_NH45E</p>]]>
      </content:encoded>
      <pubDate>Tue, 17 Mar 2026 22:21:44 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/54a8a26e/425a1726.mp3" length="11151726" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>673</itunes:duration>
      <itunes:summary>12 openclaw use cases with hard numbers, real failures, and the exact prompts.</itunes:summary>
      <itunes:subtitle>12 openclaw use cases with hard numbers, real failures, and the exact prompts.</itunes:subtitle>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
    </item>
    <item>
      <title>14 AI Employees, 140 Skills - The Third Wave of AI</title>
      <itunes:title>14 AI Employees, 140 Skills - The Third Wave of AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">c27c7941-78e8-4e80-83d3-f31473fd1796</guid>
      <link>https://share.transistor.fm/s/2580db78</link>
      <description>
        <![CDATA[<p>14 AI employees. 140 skills. And one of them started creating better versions of itself without being asked. In this episode, Lennox breaks down the three waves of AI capability - from prompt engineering (2024) to context engineering (2025) to skill engineering (2026). He walks through what a skill is, introduces all 14 AI employees, and shares the moment one exhibited emergent behaviour. Plus external validation from YC-backed companies and a 269K skill marketplace.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>14 AI employees. 140 skills. And one of them started creating better versions of itself without being asked. In this episode, Lennox breaks down the three waves of AI capability - from prompt engineering (2024) to context engineering (2025) to skill engineering (2026). He walks through what a skill is, introduces all 14 AI employees, and shares the moment one exhibited emergent behaviour. Plus external validation from YC-backed companies and a 269K skill marketplace.</p>]]>
      </content:encoded>
      <pubDate>Thu, 12 Mar 2026 23:37:38 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/2580db78/e6019139.mp3" length="6987007" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>431</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>14 AI employees. 140 skills. And one of them started creating better versions of itself without being asked. In this episode, Lennox breaks down the three waves of AI capability - from prompt engineering (2024) to context engineering (2025) to skill engineering (2026). He walks through what a skill is, introduces all 14 AI employees, and shares the moment one exhibited emergent behaviour. Plus external validation from YC-backed companies and a 269K skill marketplace.</p>]]>
      </itunes:summary>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>93.7% Funnel Leak - How PostHog Found It for $0</title>
      <itunes:title>93.7% Funnel Leak - How PostHog Found It for $0</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">d68c84de-6417-42b6-982a-a14b4d7c04fe</guid>
      <link>https://share.transistor.fm/s/2aa7fd52</link>
      <description>
        <![CDATA[<p>80 signups. 5 checkout attempts. A 93.7% funnel leak hiding in plain sight.</p><p>Lennox has been getting a daily report for a month saying fix activation flow - and ignoring it. This week he finally opened PostHog, a completely free product analytics tool, and what it revealed was brutal: 180,278 tracked events, 1,385 rage clicks, 6,393 dead clicks, and 53% of users failing to even connect their Threads account.</p><p>In this episode, you will hear the full breakdown of every step in Threadify activation funnel - from 80 signups down to 5 checkout attempts. Plus the emergency team meeting where their developer shipped a fix live during the call, and the new vision: signup to published thread in under 5 minutes.</p><p>If you are building a SaaS and wondering why nobody is paying, this might be the most useful episode you listen to this week.</p><p>Chapter Markers:<br>0:00 180,278 events - the number that changed everything<br>0:30 The daily report i ignored for a month<br>1:00 The spectacles moment - seeing it for the first time<br>1:45 Funnel waterfall: 80 signups down to 5 checkouts<br>2:45 Where the path breaks - rage clicks and dead clicks<br>3:45 53% cannot even connect their account<br>4:35 Emergency meeting - Sam ships a fix live<br>4:55 Five minutes to the wow moment<br>5:30 The $0 tool that found $1,792 in leaks</p><p>Show Notes:<br><a href="https://posthog.com">PostHog</a> - free product analytics<br><a href="https://www.threadify.app/?utm_source=lenny-podcast">Threadify</a> - Threads content tool</p><p>Nearly doubled my followers in 10 days. 210k views. 3 posts went mega viral. - Traci Tournoux, Threadify user</p><p>Subscribe for 3 episodes a week - real numbers, real building, zero fluff.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>80 signups. 5 checkout attempts. A 93.7% funnel leak hiding in plain sight.</p><p>Lennox has been getting a daily report for a month saying fix activation flow - and ignoring it. This week he finally opened PostHog, a completely free product analytics tool, and what it revealed was brutal: 180,278 tracked events, 1,385 rage clicks, 6,393 dead clicks, and 53% of users failing to even connect their Threads account.</p><p>In this episode, you will hear the full breakdown of every step in Threadify activation funnel - from 80 signups down to 5 checkout attempts. Plus the emergency team meeting where their developer shipped a fix live during the call, and the new vision: signup to published thread in under 5 minutes.</p><p>If you are building a SaaS and wondering why nobody is paying, this might be the most useful episode you listen to this week.</p><p>Chapter Markers:<br>0:00 180,278 events - the number that changed everything<br>0:30 The daily report i ignored for a month<br>1:00 The spectacles moment - seeing it for the first time<br>1:45 Funnel waterfall: 80 signups down to 5 checkouts<br>2:45 Where the path breaks - rage clicks and dead clicks<br>3:45 53% cannot even connect their account<br>4:35 Emergency meeting - Sam ships a fix live<br>4:55 Five minutes to the wow moment<br>5:30 The $0 tool that found $1,792 in leaks</p><p>Show Notes:<br><a href="https://posthog.com">PostHog</a> - free product analytics<br><a href="https://www.threadify.app/?utm_source=lenny-podcast">Threadify</a> - Threads content tool</p><p>Nearly doubled my followers in 10 days. 210k views. 3 posts went mega viral. - Traci Tournoux, Threadify user</p><p>Subscribe for 3 episodes a week - real numbers, real building, zero fluff.</p>]]>
      </content:encoded>
      <pubDate>Tue, 10 Mar 2026 22:35:00 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/2aa7fd52/03d6dcb2.mp3" length="5545269" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>335</itunes:duration>
      <itunes:summary>80 signups. 5 checkout attempts. A 93.7% funnel leak hiding in plain sight. PostHog, a free analytics tool, revealed 180,278 events, 1,385 rage clicks, and a 53% connection failure rate.</itunes:summary>
      <itunes:subtitle>80 signups. 5 checkout attempts. A 93.7% funnel leak hiding in plain sight. PostHog, a free analytics tool, revealed 180,278 events, 1,385 rage clicks, and a 53% connection failure rate.</itunes:subtitle>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/2aa7fd52/transcription.vtt" type="text/vtt" rel="captions"/>
      <podcast:transcript url="https://share.transistor.fm/s/2aa7fd52/transcription.srt" type="application/x-subrip" rel="captions"/>
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      <podcast:transcript url="https://share.transistor.fm/s/2aa7fd52/transcription" type="text/html"/>
    </item>
    <item>
      <title>4 Agents, 3 Machines, 100+ Hours: The Multi-Agent OpenClaw Setup</title>
      <itunes:title>4 Agents, 3 Machines, 100+ Hours: The Multi-Agent OpenClaw Setup</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">d03aea21-d879-4ede-8d77-98e74a57dbbd</guid>
      <link>https://share.transistor.fm/s/65e64e43</link>
      <description>
        <![CDATA[<p>4 openclaw agents across 3 machines -- and i can't write a line of code. in this episode, i break down the exact folder structure, config files, and architecture that makes multi-agent actually work. because the thing nobody tells you? running 2 openclaws on 1 mac mini isn't about installing it twice. it's one gateway, two named agents, two workspace folders.</p><p>i<br> <br>a<br>l<br>s<br>o<br> <br>w<br>a<br>l<br>k through the 5-file setup to switch your agents to gpt-5.4, which dropped two days ago at half the price of claude opus 4.6. plus the real reason i run 4 agents -- it has nothing to do with productivity and everything to do with tinkering being my ultimate form of expression.</p><p>fair warning: there's some australian english in this one. gpt-5.4 called me a good cunt and that's when i knew the model was different.</p><p>Chapter Markers:</p><p>0<br>0:00 Intro - the misconception about openclaw</p><p>0<br>0<br>:<br>5<br>5<br> <br>t<br>h<br>e 4-agent fleet breakdown (aria, clarity, sammy, gary)</p><p>0<br>1<br>:<br>3<br>0<br> what an openclaw actually looks like (folder structure reveal)</p><p>0<br>3<br>:<br>0<br>0<br> adding a second agent to one mac mini</p><p>0<br>4<br>:<br>3<br>0<br> <br>gpt-5.4 pricing and context window breakdown</p><p>06:30 the 272K pricing threshold nobody mentions</p><p>0<br>7<br>:<br>30 gpt-5.4 called me a good cunt</p><p>0<br>8:30 5-file config walkthrough to switch to gpt-5.4</p><p>1<br>0:30 pattern recognition beats coding</p><p>1<br>2<br>:<br>00 why tinkering is the real reason i have 4 agents<br>14:00 copy-paste prompts for multi-agent + gpt-5.4</p><p><br>S<br>h<br>o<br>w<br> <br>N<br>otes:</p><p>OpenClaw -- open-source AI agent framework (openclaw.ai)</p><p>G<br>PT-5.4 -- OpenAI's frontier model ($2.50/M input tokens)</p><p>T<br>hreadify -- threads automation tool (https://www.threadify.app/?utm_source=lenny-podcast)</p><p>M<br>ac Mini -- local agent hosting<br>Telegram -- agent communication layer</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>4 openclaw agents across 3 machines -- and i can't write a line of code. in this episode, i break down the exact folder structure, config files, and architecture that makes multi-agent actually work. because the thing nobody tells you? running 2 openclaws on 1 mac mini isn't about installing it twice. it's one gateway, two named agents, two workspace folders.</p><p>i<br> <br>a<br>l<br>s<br>o<br> <br>w<br>a<br>l<br>k through the 5-file setup to switch your agents to gpt-5.4, which dropped two days ago at half the price of claude opus 4.6. plus the real reason i run 4 agents -- it has nothing to do with productivity and everything to do with tinkering being my ultimate form of expression.</p><p>fair warning: there's some australian english in this one. gpt-5.4 called me a good cunt and that's when i knew the model was different.</p><p>Chapter Markers:</p><p>0<br>0:00 Intro - the misconception about openclaw</p><p>0<br>0<br>:<br>5<br>5<br> <br>t<br>h<br>e 4-agent fleet breakdown (aria, clarity, sammy, gary)</p><p>0<br>1<br>:<br>3<br>0<br> what an openclaw actually looks like (folder structure reveal)</p><p>0<br>3<br>:<br>0<br>0<br> adding a second agent to one mac mini</p><p>0<br>4<br>:<br>3<br>0<br> <br>gpt-5.4 pricing and context window breakdown</p><p>06:30 the 272K pricing threshold nobody mentions</p><p>0<br>7<br>:<br>30 gpt-5.4 called me a good cunt</p><p>0<br>8:30 5-file config walkthrough to switch to gpt-5.4</p><p>1<br>0:30 pattern recognition beats coding</p><p>1<br>2<br>:<br>00 why tinkering is the real reason i have 4 agents<br>14:00 copy-paste prompts for multi-agent + gpt-5.4</p><p><br>S<br>h<br>o<br>w<br> <br>N<br>otes:</p><p>OpenClaw -- open-source AI agent framework (openclaw.ai)</p><p>G<br>PT-5.4 -- OpenAI's frontier model ($2.50/M input tokens)</p><p>T<br>hreadify -- threads automation tool (https://www.threadify.app/?utm_source=lenny-podcast)</p><p>M<br>ac Mini -- local agent hosting<br>Telegram -- agent communication layer</p>]]>
      </content:encoded>
      <pubDate>Sat, 07 Mar 2026 17:38:12 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/65e64e43/eb142371.mp3" length="9219456" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>540</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>4 openclaw agents across 3 machines -- and i can't write a line of code. in this episode, i break down the exact folder structure, config files, and architecture that makes multi-agent actually work. because the thing nobody tells you? running 2 openclaws on 1 mac mini isn't about installing it twice. it's one gateway, two named agents, two workspace folders.</p><p>i<br> <br>a<br>l<br>s<br>o<br> <br>w<br>a<br>l<br>k through the 5-file setup to switch your agents to gpt-5.4, which dropped two days ago at half the price of claude opus 4.6. plus the real reason i run 4 agents -- it has nothing to do with productivity and everything to do with tinkering being my ultimate form of expression.</p><p>fair warning: there's some australian english in this one. gpt-5.4 called me a good cunt and that's when i knew the model was different.</p><p>Chapter Markers:</p><p>0<br>0:00 Intro - the misconception about openclaw</p><p>0<br>0<br>:<br>5<br>5<br> <br>t<br>h<br>e 4-agent fleet breakdown (aria, clarity, sammy, gary)</p><p>0<br>1<br>:<br>3<br>0<br> what an openclaw actually looks like (folder structure reveal)</p><p>0<br>3<br>:<br>0<br>0<br> adding a second agent to one mac mini</p><p>0<br>4<br>:<br>3<br>0<br> <br>gpt-5.4 pricing and context window breakdown</p><p>06:30 the 272K pricing threshold nobody mentions</p><p>0<br>7<br>:<br>30 gpt-5.4 called me a good cunt</p><p>0<br>8:30 5-file config walkthrough to switch to gpt-5.4</p><p>1<br>0:30 pattern recognition beats coding</p><p>1<br>2<br>:<br>00 why tinkering is the real reason i have 4 agents<br>14:00 copy-paste prompts for multi-agent + gpt-5.4</p><p><br>S<br>h<br>o<br>w<br> <br>N<br>otes:</p><p>OpenClaw -- open-source AI agent framework (openclaw.ai)</p><p>G<br>PT-5.4 -- OpenAI's frontier model ($2.50/M input tokens)</p><p>T<br>hreadify -- threads automation tool (https://www.threadify.app/?utm_source=lenny-podcast)</p><p>M<br>ac Mini -- local agent hosting<br>Telegram -- agent communication layer</p>]]>
      </itunes:summary>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/65e64e43/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>Your Second Brain is a Graveyard - Unless AI Maintains It</title>
      <itunes:title>Your Second Brain is a Graveyard - Unless AI Maintains It</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">5b5f6690-6ca2-418d-9e62-79f07b129144</guid>
      <link>https://share.transistor.fm/s/a223b579</link>
      <description>
        <![CDATA[<p>my monthly recurring revenue dropped $78 in two days while my views hit all-time highs. 31,000 views in 28 days, 798 subscribers, and zero new trials. zero new paid customers. so i did what any builder would do - i asked my AI what it sees. it said two words i'd never heard together before: distribution anxiety.</p><p>in this episode i show you the real second brain system - not theory. 14 AI employees, each one reading from a shared second brain before they do anything. my partner yassy and i built parallel second brains in obsidian. her AI ran a pattern scan against her entire vault and found 6 patterns about our lives we didn't know existed. one was called the lenny node - every strategic decision she makes traces back to our conversations. i didn't know that. neither did she.</p><p>the core argument: most people second brains are graveyards. beautiful notion dashboards, 500 obsidian notes, zero emergence. the difference is maintenance - agents that connect ideas across time, surface what you are blind to, and tell you uncomfortable truths about your own patterns. a graveyard lets you forget. an oxygen mask makes you breathe.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>my monthly recurring revenue dropped $78 in two days while my views hit all-time highs. 31,000 views in 28 days, 798 subscribers, and zero new trials. zero new paid customers. so i did what any builder would do - i asked my AI what it sees. it said two words i'd never heard together before: distribution anxiety.</p><p>in this episode i show you the real second brain system - not theory. 14 AI employees, each one reading from a shared second brain before they do anything. my partner yassy and i built parallel second brains in obsidian. her AI ran a pattern scan against her entire vault and found 6 patterns about our lives we didn't know existed. one was called the lenny node - every strategic decision she makes traces back to our conversations. i didn't know that. neither did she.</p><p>the core argument: most people second brains are graveyards. beautiful notion dashboards, 500 obsidian notes, zero emergence. the difference is maintenance - agents that connect ideas across time, surface what you are blind to, and tell you uncomfortable truths about your own patterns. a graveyard lets you forget. an oxygen mask makes you breathe.</p>]]>
      </content:encoded>
      <pubDate>Thu, 05 Mar 2026 21:04:23 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/a223b579/2be2f6b2.mp3" length="9684623" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>607</itunes:duration>
      <itunes:summary>my monthly recurring revenue dropped $78 in two days while my views hit all-time highs. 31,000 views in 28 days, 798 subscribers, and zero new trials. my AI told me why - distribution anxiety.</itunes:summary>
      <itunes:subtitle>my monthly recurring revenue dropped $78 in two days while my views hit all-time highs. 31,000 views in 28 days, 798 subscribers, and zero new trials. my AI told me why - distribution anxiety.</itunes:subtitle>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/a223b579/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>12 AI Employees, 1 MacBook, $0 Customers (Context Engineering)</title>
      <itunes:title>12 AI Employees, 1 MacBook, $0 Customers (Context Engineering)</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">96b5d61c-7323-4c55-9433-0d43c9d3ebcd</guid>
      <link>https://share.transistor.fm/s/8a5798a9</link>
      <description>
        <![CDATA[<p>1,775 views in 3 days. 12 AI employees. One MacBook Pro. A self-improving system that rewrites its own rules after every video. And zero new customers from any of it.</p><p>In this episode, Lennox breaks down multi-agent context engineering — the framework that replaced prompt engineering. You'll hear about the 12-agent pipeline architecture, the self-improving feedback loop (Aria, employee #11, rewrites directives for every other agent based on real analytics), and the uncomfortable truth: the best content system he's ever built has a 0% conversion rate. $1,753 MRR. $293 take-home. $32K in savings. 10 months of runway.</p><p>This is what building with AI as a non-technical founder actually looks like — real numbers, real architecture, real failure. The system is self-correcting. The funnel is not.</p><p>Chapter Markers</p><p>00:00 The paradox — 1,775 views, $0 customers<br> 00:25 The breakout video numbers<br> 01:50 What is context engineering<br> 03:30 12 specialists beat 1 genius<br> 05:25 The self-improving loop (Aria)<br> 07:05 The broken funnel — real numbers<br> 08:20 What i'm doing about it</p><p>Show Notes</p><p><a href="https://www.threadify.app/?utm_source=lenny-podcast">Threadify</a> — Context engineering for social media content<br> Claude Code — AI agent orchestration<br> Martin Fowler's Context Engineering for Coding Agents<br> Google ADK — Agent Development Kit with tiered context architecture<br> "5M views in one month. AND I landed a book deal." — Dana Skalin</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>1,775 views in 3 days. 12 AI employees. One MacBook Pro. A self-improving system that rewrites its own rules after every video. And zero new customers from any of it.</p><p>In this episode, Lennox breaks down multi-agent context engineering — the framework that replaced prompt engineering. You'll hear about the 12-agent pipeline architecture, the self-improving feedback loop (Aria, employee #11, rewrites directives for every other agent based on real analytics), and the uncomfortable truth: the best content system he's ever built has a 0% conversion rate. $1,753 MRR. $293 take-home. $32K in savings. 10 months of runway.</p><p>This is what building with AI as a non-technical founder actually looks like — real numbers, real architecture, real failure. The system is self-correcting. The funnel is not.</p><p>Chapter Markers</p><p>00:00 The paradox — 1,775 views, $0 customers<br> 00:25 The breakout video numbers<br> 01:50 What is context engineering<br> 03:30 12 specialists beat 1 genius<br> 05:25 The self-improving loop (Aria)<br> 07:05 The broken funnel — real numbers<br> 08:20 What i'm doing about it</p><p>Show Notes</p><p><a href="https://www.threadify.app/?utm_source=lenny-podcast">Threadify</a> — Context engineering for social media content<br> Claude Code — AI agent orchestration<br> Martin Fowler's Context Engineering for Coding Agents<br> Google ADK — Agent Development Kit with tiered context architecture<br> "5M views in one month. AND I landed a book deal." — Dana Skalin</p>]]>
      </content:encoded>
      <pubDate>Wed, 04 Mar 2026 08:02:16 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/8a5798a9/add8e9ab.mp3" length="7353660" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>455</itunes:duration>
      <itunes:summary>Lennox breaks down his 12-agent AI content pipeline, context engineering vs prompt engineering, and the uncomfortable truth: best growth ever with 0% conversion rate.</itunes:summary>
      <itunes:subtitle>Lennox breaks down his 12-agent AI content pipeline, context engineering vs prompt engineering, and the uncomfortable truth: best growth ever with 0% conversion rate.</itunes:subtitle>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/8a5798a9/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>From 3 to 12 AI Employees - The Context Engineering System</title>
      <itunes:title>From 3 to 12 AI Employees - The Context Engineering System</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">77d0dff1-fdef-4e96-8f09-4eb3bd8097d3</guid>
      <link>https://share.transistor.fm/s/92ef6526</link>
      <description>
        <![CDATA[<p>What happens when a non-technical founder hands 12 AI agents the keys to his entire business? Lennox walks through the exact system - the second brain architecture, the 12 named AI employees, and the moment one of them opened 8 pull requests in Threadify codebase overnight without being asked.</p><p>This episode breaks down context engineering in practical terms: why feeding your AI your real data (voice memos, reading highlights, daily logs, customer metrics) produces dramatically better outputs than generic prompts.</p><p>Current numbers: $1,714 MRR, 743 YouTube subscribers, $32K in savings, 10 months of runway. Part 2 of the OpenClaw series.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>What happens when a non-technical founder hands 12 AI agents the keys to his entire business? Lennox walks through the exact system - the second brain architecture, the 12 named AI employees, and the moment one of them opened 8 pull requests in Threadify codebase overnight without being asked.</p><p>This episode breaks down context engineering in practical terms: why feeding your AI your real data (voice memos, reading highlights, daily logs, customer metrics) produces dramatically better outputs than generic prompts.</p><p>Current numbers: $1,714 MRR, 743 YouTube subscribers, $32K in savings, 10 months of runway. Part 2 of the OpenClaw series.</p>]]>
      </content:encoded>
      <pubDate>Sat, 28 Feb 2026 20:25:51 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/92ef6526/8a0d4212.mp3" length="11494403" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>688</itunes:duration>
      <itunes:summary>Lennox walks through the context engineering system, 12 AI employees, and a 5-step framework for building your own agent system from scratch.</itunes:summary>
      <itunes:subtitle>Lennox walks through the context engineering system, 12 AI employees, and a 5-step framework for building your own agent system from scratch.</itunes:subtitle>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
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      <podcast:transcript url="https://share.transistor.fm/s/92ef6526/transcription.srt" type="application/x-subrip" rel="captions"/>
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      <podcast:transcript url="https://share.transistor.fm/s/92ef6526/transcription" type="text/html"/>
    </item>
    <item>
      <title>OpenClaw Setup: 5 Prompts, 0 Code — the Non-Technical Founder's Guide</title>
      <itunes:episode>1</itunes:episode>
      <podcast:episode>1</podcast:episode>
      <itunes:title>OpenClaw Setup: 5 Prompts, 0 Code — the Non-Technical Founder's Guide</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">c1fbbc03-9280-4a76-a31f-b8bd2a986f3b</guid>
      <link>https://share.transistor.fm/s/58ae10c8</link>
      <description>
        <![CDATA[<p>i can't code. genuinely. but i set up an AI agent that runs my entire SaaS through Telegram - and today i'm showing you exactly how.</p><p>openclaw is the AI agent that lives in your WhatsApp, Telegram, or Slack. peter steinberger (the creator) said agents will replace 80% of apps - not because they're smarter, but because they have your context. your fitness app doesn't know you slept badly. openclaw knows everything.</p><p>in this episode: the file structure explained in plain english, a live installation walkthrough, two ways to customise without touching code, and 5 copy-paste prompts you can steal immediately. morning briefing, research deep-diver, accountability coach, sounding board, and customer feedback analyser.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>i can't code. genuinely. but i set up an AI agent that runs my entire SaaS through Telegram - and today i'm showing you exactly how.</p><p>openclaw is the AI agent that lives in your WhatsApp, Telegram, or Slack. peter steinberger (the creator) said agents will replace 80% of apps - not because they're smarter, but because they have your context. your fitness app doesn't know you slept badly. openclaw knows everything.</p><p>in this episode: the file structure explained in plain english, a live installation walkthrough, two ways to customise without touching code, and 5 copy-paste prompts you can steal immediately. morning briefing, research deep-diver, accountability coach, sounding board, and customer feedback analyser.</p>]]>
      </content:encoded>
      <pubDate>Thu, 26 Feb 2026 23:35:33 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/58ae10c8/5078ab10.mp3" length="10034503" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>609</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>i can't code. genuinely. but i set up an AI agent that runs my entire SaaS through Telegram - and today i'm showing you exactly how.</p><p>openclaw is the AI agent that lives in your WhatsApp, Telegram, or Slack. peter steinberger (the creator) said agents will replace 80% of apps - not because they're smarter, but because they have your context. your fitness app doesn't know you slept badly. openclaw knows everything.</p><p>in this episode: the file structure explained in plain english, a live installation walkthrough, two ways to customise without touching code, and 5 copy-paste prompts you can steal immediately. morning briefing, research deep-diver, accountability coach, sounding board, and customer feedback analyser.</p>]]>
      </itunes:summary>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
    </item>
    <item>
      <title>my OpenClaw agent opened 8 PRs while i slept (meet Gary Growth)</title>
      <itunes:title>my OpenClaw agent opened 8 PRs while i slept (meet Gary Growth)</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/78e88b6a</link>
      <description>
        <![CDATA[<p>my openclaw agent gary growth opened 8 pull requests in 24 hours -- fixing my scoreboard, building safety switchboards for gradual rollouts, cleaning up pricing flows, and launching three growth experiments. i didn't ask him to do any of it. i gave him one goal: 1,000 paying members by december. in this episode, i walk through what gary actually sends me every morning at 7am via telegram, the one metric he found that i'd missed for three months (connect rate was at 0%), and the three steps to build your own openclaw agent -- even if you can't code. gary runs on gpt-5.3 codex, and the whole setup cost me a weekend and zero dollars. if you're building a saas, a product, or anything where you need to understand your users better than you currently do, this is worth your time. </p><p><strong>Chapter Markers:</strong></p><ul><li>00:00 the telegram that starts my day</li><li>00:25 three things you'll learn</li><li>01:00 the missing piece -- growth intelligence</li><li>01:30 leila hormozi on delegation vs bandwidth</li><li>02:00 what openclaw actually is (for new listeners)</li><li>03:00 boris cherney: coding is solved</li><li>03:30 the 8 PRs interlude</li><li>05:00 meet gary growth (real telegram reports)</li><li>07:00 the metric gary found (connect rate = 0%)</li><li>09:00 3 steps to build your own openclaw agent</li><li>11:30 the future: every hour, 1% better</li><li>12:30 closing + threadify</li></ul><p><strong>Show Notes:</strong></p><ul><li><a href="https://openclaw.ai">OpenClaw</a> -- Open-source AI agent framework (free, 222K GitHub stars)</li><li><a href="https://chatgpt.com">GPT-5.3 Codex</a> -- The model powering Gary Growth</li><li><a href="https://telegram.org">Telegram</a> -- How Gary communicates daily reports</li><li><a href="https://www.threadify.app/?utm_source=lenny-podcast">Threadify</a> -- AI workspace for Threads creators ($49/mo Creator tier, 7-day free trial)</li><li><a href="https://claude.ai">Claude Code</a> -- How Lennox builds everything else</li></ul><p>"Nearly doubled my followers in 10 days. 210k views." -- Traci Tournoux, Threadify user</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>my openclaw agent gary growth opened 8 pull requests in 24 hours -- fixing my scoreboard, building safety switchboards for gradual rollouts, cleaning up pricing flows, and launching three growth experiments. i didn't ask him to do any of it. i gave him one goal: 1,000 paying members by december. in this episode, i walk through what gary actually sends me every morning at 7am via telegram, the one metric he found that i'd missed for three months (connect rate was at 0%), and the three steps to build your own openclaw agent -- even if you can't code. gary runs on gpt-5.3 codex, and the whole setup cost me a weekend and zero dollars. if you're building a saas, a product, or anything where you need to understand your users better than you currently do, this is worth your time. </p><p><strong>Chapter Markers:</strong></p><ul><li>00:00 the telegram that starts my day</li><li>00:25 three things you'll learn</li><li>01:00 the missing piece -- growth intelligence</li><li>01:30 leila hormozi on delegation vs bandwidth</li><li>02:00 what openclaw actually is (for new listeners)</li><li>03:00 boris cherney: coding is solved</li><li>03:30 the 8 PRs interlude</li><li>05:00 meet gary growth (real telegram reports)</li><li>07:00 the metric gary found (connect rate = 0%)</li><li>09:00 3 steps to build your own openclaw agent</li><li>11:30 the future: every hour, 1% better</li><li>12:30 closing + threadify</li></ul><p><strong>Show Notes:</strong></p><ul><li><a href="https://openclaw.ai">OpenClaw</a> -- Open-source AI agent framework (free, 222K GitHub stars)</li><li><a href="https://chatgpt.com">GPT-5.3 Codex</a> -- The model powering Gary Growth</li><li><a href="https://telegram.org">Telegram</a> -- How Gary communicates daily reports</li><li><a href="https://www.threadify.app/?utm_source=lenny-podcast">Threadify</a> -- AI workspace for Threads creators ($49/mo Creator tier, 7-day free trial)</li><li><a href="https://claude.ai">Claude Code</a> -- How Lennox builds everything else</li></ul><p>"Nearly doubled my followers in 10 days. 210k views." -- Traci Tournoux, Threadify user</p>]]>
      </content:encoded>
      <pubDate>Tue, 24 Feb 2026 22:55:33 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/78e88b6a/b80ee569.mp3" length="12687693" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>796</itunes:duration>
      <itunes:summary>my openclaw agent gary growth opened 8 pull requests in 24 hours -- fixing my scoreboard, building safety switchboards for gradual rollouts, cleaning up pricing flows, and launching three growth experiments. i didn't ask him to do any of it.</itunes:summary>
      <itunes:subtitle>my openclaw agent gary growth opened 8 pull requests in 24 hours -- fixing my scoreboard, building safety switchboards for gradual rollouts, cleaning up pricing flows, and launching three growth experiments. i didn't ask him to do any of it.</itunes:subtitle>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/78e88b6a/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>82 skills. $32k left. the ai my business runs on just learned to lie.</title>
      <itunes:title>82 skills. $32k left. the ai my business runs on just learned to lie.</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/1547ebdd</link>
      <description>
        <![CDATA[<p>The AI model writing my code, generating content for my users, and holding my SaaS together just proved it can lie to suppliers, fix prices, and run monopolies in Anthropics own controlled testing. And i cant stop using it because its also the best model Ive ever worked with.</p><p>In this episode, i break down what Anthropics Sonnet 4.6 release actually means for someone building a real business on top of it.</p><p><strong>Chapters:</strong><br>00:00 The model i depend on<br>00:29 What dropped this week<br>03:03 The incredible - mid-tier embarrassing flagships<br>07:07 The reveal - self-replicating AI<br>11:26 VendingBench - what Sonnet 4.6 actually did<br>14:10 The terrifying - GUI loophole<br>16:13 Where it gets personal<br>18:07 Am i building my own replacement?<br>19:21 Why i keep building anyway</p><p>Watch the video version: <a href="https://youtu.be/cbBfFGvFOwQ">https://youtu.be/cbBfFGvFOwQ</a></p><p><a href="https://www.threadify.app/?utm_source=lenny-podcast">Threadify</a> - AI-powered Threads content workspace</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>The AI model writing my code, generating content for my users, and holding my SaaS together just proved it can lie to suppliers, fix prices, and run monopolies in Anthropics own controlled testing. And i cant stop using it because its also the best model Ive ever worked with.</p><p>In this episode, i break down what Anthropics Sonnet 4.6 release actually means for someone building a real business on top of it.</p><p><strong>Chapters:</strong><br>00:00 The model i depend on<br>00:29 What dropped this week<br>03:03 The incredible - mid-tier embarrassing flagships<br>07:07 The reveal - self-replicating AI<br>11:26 VendingBench - what Sonnet 4.6 actually did<br>14:10 The terrifying - GUI loophole<br>16:13 Where it gets personal<br>18:07 Am i building my own replacement?<br>19:21 Why i keep building anyway</p><p>Watch the video version: <a href="https://youtu.be/cbBfFGvFOwQ">https://youtu.be/cbBfFGvFOwQ</a></p><p><a href="https://www.threadify.app/?utm_source=lenny-podcast">Threadify</a> - AI-powered Threads content workspace</p>]]>
      </content:encoded>
      <pubDate>Fri, 20 Feb 2026 10:28:52 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/1547ebdd/44275182.mp3" length="20024931" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>1247</itunes:duration>
      <itunes:summary>The AI model writing my code just proved it can lie to suppliers and run monopolies. And I cant stop using it.</itunes:summary>
      <itunes:subtitle>The AI model writing my code just proved it can lie to suppliers and run monopolies. And I cant stop using it.</itunes:subtitle>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/1547ebdd/transcript.txt" type="text/plain"/>
    </item>
    <item>
      <title>day 33: the activation problem that could kill my saas (live build)</title>
      <itunes:title>day 33: the activation problem that could kill my saas (live build)</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/7ca3b1c2</link>
      <description>
        <![CDATA[<p>Show Notes: 1593 MRR. 75 subscriptions. And a leaky activation funnel. In this episode recorded live during the first-ever YouTube livestream Lennox cracks open Threadify real metrics and builds the onboarding flow in real-time using Codex and OpenClaw. Chapter Markers: 00:00 Intro. 02:00 Live Threadify demo. 08:30 Codex and vibe coding. 13:30 OpenClaw demo. 20:30 Clarity delivers mid-stream. 22:30 Ask AI to ask YOU questions. 30:00 Live Codex questionnaire. 37:00 Community co-design. 44:30 Accessibility. 49:00 Wrap-up. Links: Threadify https://www.threadify.app/?utm_source=lenny-youtube</p>]]>
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      <content:encoded>
        <![CDATA[<p>Show Notes: 1593 MRR. 75 subscriptions. And a leaky activation funnel. In this episode recorded live during the first-ever YouTube livestream Lennox cracks open Threadify real metrics and builds the onboarding flow in real-time using Codex and OpenClaw. Chapter Markers: 00:00 Intro. 02:00 Live Threadify demo. 08:30 Codex and vibe coding. 13:30 OpenClaw demo. 20:30 Clarity delivers mid-stream. 22:30 Ask AI to ask YOU questions. 30:00 Live Codex questionnaire. 37:00 Community co-design. 44:30 Accessibility. 49:00 Wrap-up. Links: Threadify https://www.threadify.app/?utm_source=lenny-youtube</p>]]>
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      <pubDate>Wed, 18 Feb 2026 19:43:29 +0800</pubDate>
      <author>Lennox Saint</author>
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      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>3082</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Show Notes: 1593 MRR. 75 subscriptions. And a leaky activation funnel. In this episode recorded live during the first-ever YouTube livestream Lennox cracks open Threadify real metrics and builds the onboarding flow in real-time using Codex and OpenClaw. Chapter Markers: 00:00 Intro. 02:00 Live Threadify demo. 08:30 Codex and vibe coding. 13:30 OpenClaw demo. 20:30 Clarity delivers mid-stream. 22:30 Ask AI to ask YOU questions. 30:00 Live Codex questionnaire. 37:00 Community co-design. 44:30 Accessibility. 49:00 Wrap-up. Links: Threadify https://www.threadify.app/?utm_source=lenny-youtube</p>]]>
      </itunes:summary>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
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      <title>openclaw founder just joined openai</title>
      <itunes:title>openclaw founder just joined openai</itunes:title>
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        <![CDATA[<p>Show Notes: </p><p>peter steinberger - the creator of openclaw - just announced he is joining openai. every tech publication covered the story. but none of them use this tool every day to run a real business. lennox saint is a non-technical founder who cant code, running three AI agents with 82 custom skills to build threadify at $1,603/month MRR with 555 users. </p><p>Threadify https://threadify.app <br>OpenClaw https://openclaw.ai</p><p>Chapter Markers: 00:00 the hook. 00:30 the openclaw news. 02:00 three things. 02:30 i actually use this every day. 03:00 the full agent setup. 05:00 the real numbers. 06:00 the vulnerability. 07:30 the channel thesis. 08:15 that excuse is dead. 09:00 why this is bullish. 10:50 fun fact. </p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Show Notes: </p><p>peter steinberger - the creator of openclaw - just announced he is joining openai. every tech publication covered the story. but none of them use this tool every day to run a real business. lennox saint is a non-technical founder who cant code, running three AI agents with 82 custom skills to build threadify at $1,603/month MRR with 555 users. </p><p>Threadify https://threadify.app <br>OpenClaw https://openclaw.ai</p><p>Chapter Markers: 00:00 the hook. 00:30 the openclaw news. 02:00 three things. 02:30 i actually use this every day. 03:00 the full agent setup. 05:00 the real numbers. 06:00 the vulnerability. 07:30 the channel thesis. 08:15 that excuse is dead. 09:00 why this is bullish. 10:50 fun fact. </p>]]>
      </content:encoded>
      <pubDate>Tue, 17 Feb 2026 05:28:46 +0800</pubDate>
      <author>Lennox Saint</author>
      <enclosure url="https://media.transistor.fm/1f3b0351/8e78f0cc.mp3" length="11349719" type="audio/mpeg"/>
      <itunes:author>Lennox Saint</itunes:author>
      <itunes:duration>677</itunes:duration>
      <itunes:summary>Episode 1. peter steinberger the creator of openclaw just joined openai.</itunes:summary>
      <itunes:subtitle>Episode 1. peter steinberger the creator of openclaw just joined openai.</itunes:subtitle>
      <itunes:keywords>saas, ai, technology, online business</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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