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    <title>The AI Operator</title>
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    <description>AI Operator is a three-episode-per-week podcast for CEOs, founders, and senior operators who are past the curiosity phase of AI and moving into the deployment phase. Each week features three formats: AI News for Operators, framing the latest AI developments through the lens of business impact; Operator Playbook, teaching frameworks for deploying AI inside organizations; and Frontier Builders, interviews with creators building real, production-ready AI systems. AI Operator turns AI into output, not experiments.</description>
    <copyright>©2026 Command Systems</copyright>
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    <pubDate>Thu, 19 Mar 2026 03:38:55 -0700</pubDate>
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      <title>The AI Operator</title>
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    <itunes:category text="Business">
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    <itunes:type>episodic</itunes:type>
    <itunes:author>Michael Pullman</itunes:author>
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    <itunes:summary>AI Operator is a three-episode-per-week podcast for CEOs, founders, and senior operators who are past the curiosity phase of AI and moving into the deployment phase. Each week features three formats: AI News for Operators, framing the latest AI developments through the lens of business impact; Operator Playbook, teaching frameworks for deploying AI inside organizations; and Frontier Builders, interviews with creators building real, production-ready AI systems. AI Operator turns AI into output, not experiments.</itunes:summary>
    <itunes:subtitle>AI Operator is a three-episode-per-week podcast for CEOs, founders, and senior operators who are past the curiosity phase of AI and moving into the deployment phase.</itunes:subtitle>
    <itunes:keywords>AI, artificial intelligence, business, operators, CEOs, founders, AI deployment, enterprise AI, AI strategy, technology</itunes:keywords>
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    <itunes:complete>No</itunes:complete>
    <itunes:explicit>No</itunes:explicit>
    <item>
      <title>What Happens When the Cost of Building Software Drops 95%?</title>
      <itunes:episode>6</itunes:episode>
      <podcast:episode>6</podcast:episode>
      <itunes:title>What Happens When the Cost of Building Software Drops 95%?</itunes:title>
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        <![CDATA[<p>Everyone's focused on AI job losses. Almost nobody is talking about the projects that couldn't exist before. When the cost of execution drops by 95%, projects that were never fundable suddenly become viable bets — and the demand for talent to build them explodes. That's Jevons Paradox in action, and it's the real AI story business owners need to understand.<br>In this episode, Michael Pullman breaks down why cheaper coding doesn't mean fewer developers — it means more software ships, more niche markets get served, and more roles emerge to support that growth. He walks through a real construction company use case, shares his own vibe-coded productivity tool, and makes the case that operators who move now will capture disproportionate upside from the demand expansion AI is creating.</p>]]>
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        <![CDATA[<p>Everyone's focused on AI job losses. Almost nobody is talking about the projects that couldn't exist before. When the cost of execution drops by 95%, projects that were never fundable suddenly become viable bets — and the demand for talent to build them explodes. That's Jevons Paradox in action, and it's the real AI story business owners need to understand.<br>In this episode, Michael Pullman breaks down why cheaper coding doesn't mean fewer developers — it means more software ships, more niche markets get served, and more roles emerge to support that growth. He walks through a real construction company use case, shares his own vibe-coded productivity tool, and makes the case that operators who move now will capture disproportionate upside from the demand expansion AI is creating.</p>]]>
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      <pubDate>Thu, 19 Mar 2026 03:38:55 -0700</pubDate>
      <author>Michael Pullman</author>
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      <itunes:author>Michael Pullman</itunes:author>
      <itunes:duration>878</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Everyone's focused on AI job losses. Almost nobody is talking about the projects that couldn't exist before. When the cost of execution drops by 95%, projects that were never fundable suddenly become viable bets — and the demand for talent to build them explodes. That's Jevons Paradox in action, and it's the real AI story business owners need to understand.<br>In this episode, Michael Pullman breaks down why cheaper coding doesn't mean fewer developers — it means more software ships, more niche markets get served, and more roles emerge to support that growth. He walks through a real construction company use case, shares his own vibe-coded productivity tool, and makes the case that operators who move now will capture disproportionate upside from the demand expansion AI is creating.</p>]]>
      </itunes:summary>
      <itunes:keywords>AI, artificial intelligence, business, operators, CEOs, founders, AI deployment, enterprise AI, AI strategy, technology</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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      <title>Claude Is Now Inside Microsoft 365 — Here's What to Do Next</title>
      <itunes:episode>5</itunes:episode>
      <podcast:episode>5</podcast:episode>
      <itunes:title>Claude Is Now Inside Microsoft 365 — Here's What to Do Next</itunes:title>
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        <![CDATA[<p>Microsoft just made the biggest enterprise software distribution move since bundling Internet Explorer with Windows — and most business leaders haven't noticed. Copilot Cowork, powered by Claude (Anthropic's frontier AI), is now shipping as a default feature inside Office 365. That means every seat in your Microsoft 365 subscription already has one of the world's most capable AI models sitting inside Word, Excel, Outlook, and Teams. The question isn't whether your workforce has access to AI. They already do.</p><p><br>In this episode, host Michael Pullman breaks down what the Microsoft–Anthropic integration actually means for mid-size businesses — from the competitive dynamics that led Microsoft to license Claude rather than fight it, to the data privacy protections that make it enterprise-safe, to the specific use cases across finance, customer support, operations, HR, and sales where this changes daily work. Critically, Michael lays out a step-by-step activation playbook — including how to run a three-week pilot, how to incentivize adoption with a $500 gift card competition, and exactly who should own the rollout inside your organization.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Microsoft just made the biggest enterprise software distribution move since bundling Internet Explorer with Windows — and most business leaders haven't noticed. Copilot Cowork, powered by Claude (Anthropic's frontier AI), is now shipping as a default feature inside Office 365. That means every seat in your Microsoft 365 subscription already has one of the world's most capable AI models sitting inside Word, Excel, Outlook, and Teams. The question isn't whether your workforce has access to AI. They already do.</p><p><br>In this episode, host Michael Pullman breaks down what the Microsoft–Anthropic integration actually means for mid-size businesses — from the competitive dynamics that led Microsoft to license Claude rather than fight it, to the data privacy protections that make it enterprise-safe, to the specific use cases across finance, customer support, operations, HR, and sales where this changes daily work. Critically, Michael lays out a step-by-step activation playbook — including how to run a three-week pilot, how to incentivize adoption with a $500 gift card competition, and exactly who should own the rollout inside your organization.</p>]]>
      </content:encoded>
      <pubDate>Tue, 17 Mar 2026 19:00:00 -0700</pubDate>
      <author>Michael Pullman</author>
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      <itunes:author>Michael Pullman</itunes:author>
      <itunes:duration>1067</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Microsoft just made the biggest enterprise software distribution move since bundling Internet Explorer with Windows — and most business leaders haven't noticed. Copilot Cowork, powered by Claude (Anthropic's frontier AI), is now shipping as a default feature inside Office 365. That means every seat in your Microsoft 365 subscription already has one of the world's most capable AI models sitting inside Word, Excel, Outlook, and Teams. The question isn't whether your workforce has access to AI. They already do.</p><p><br>In this episode, host Michael Pullman breaks down what the Microsoft–Anthropic integration actually means for mid-size businesses — from the competitive dynamics that led Microsoft to license Claude rather than fight it, to the data privacy protections that make it enterprise-safe, to the specific use cases across finance, customer support, operations, HR, and sales where this changes daily work. Critically, Michael lays out a step-by-step activation playbook — including how to run a three-week pilot, how to incentivize adoption with a $500 gift card competition, and exactly who should own the rollout inside your organization.</p>]]>
      </itunes:summary>
      <itunes:keywords>AI, artificial intelligence, business, operators, CEOs, founders, AI deployment, enterprise AI, AI strategy, technology</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/d5f1ae3d/transcript.vtt" type="text/vtt" rel="captions"/>
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      <title>What Happens When One Operator Outperforms a Five-Person Team? #004</title>
      <itunes:episode>4</itunes:episode>
      <podcast:episode>4</podcast:episode>
      <itunes:title>What Happens When One Operator Outperforms a Five-Person Team? #004</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/80659d37</link>
      <description>
        <![CDATA[<p>One non-technical employee. No engineering support. Running the entire growth marketing function for the world's leading AI company — for ten months straight. That's not a thought experiment; it happened at Anthropic, and it signals a structural shift every business owner needs to reckon with now.</p><p>In this episode of AI Operator, Michael Pullman unpacks what that story actually means for companies with 50 to 1,000 employees: you're currently overstaffed in execution roles and understaffed in orchestration roles. The episode covers why skilled generalists armed with AI agents are becoming more valuable than specialists, what Gartner's forecast on agentic AI means for off-the-shelf software by 2028, and how to run a low-risk internal pilot that could realistically save $75,000 a year in labour costs — starting in 30 days.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>One non-technical employee. No engineering support. Running the entire growth marketing function for the world's leading AI company — for ten months straight. That's not a thought experiment; it happened at Anthropic, and it signals a structural shift every business owner needs to reckon with now.</p><p>In this episode of AI Operator, Michael Pullman unpacks what that story actually means for companies with 50 to 1,000 employees: you're currently overstaffed in execution roles and understaffed in orchestration roles. The episode covers why skilled generalists armed with AI agents are becoming more valuable than specialists, what Gartner's forecast on agentic AI means for off-the-shelf software by 2028, and how to run a low-risk internal pilot that could realistically save $75,000 a year in labour costs — starting in 30 days.</p>]]>
      </content:encoded>
      <pubDate>Sat, 14 Mar 2026 23:49:37 -0700</pubDate>
      <author>Michael Pullman</author>
      <enclosure url="https://media.transistor.fm/80659d37/7a15d657.mp3" length="13895371" type="audio/mpeg"/>
      <itunes:author>Michael Pullman</itunes:author>
      <itunes:duration>867</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>One non-technical employee. No engineering support. Running the entire growth marketing function for the world's leading AI company — for ten months straight. That's not a thought experiment; it happened at Anthropic, and it signals a structural shift every business owner needs to reckon with now.</p><p>In this episode of AI Operator, Michael Pullman unpacks what that story actually means for companies with 50 to 1,000 employees: you're currently overstaffed in execution roles and understaffed in orchestration roles. The episode covers why skilled generalists armed with AI agents are becoming more valuable than specialists, what Gartner's forecast on agentic AI means for off-the-shelf software by 2028, and how to run a low-risk internal pilot that could realistically save $75,000 a year in labour costs — starting in 30 days.</p>]]>
      </itunes:summary>
      <itunes:keywords>AI, artificial intelligence, business, operators, CEOs, founders, AI deployment, enterprise AI, AI strategy, technology</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/80659d37/transcript.vtt" type="text/vtt" rel="captions"/>
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    <item>
      <title>The $200 Tool That Just Replaced Your $50,000 Analyst #002</title>
      <itunes:episode>2</itunes:episode>
      <podcast:episode>2</podcast:episode>
      <itunes:title>The $200 Tool That Just Replaced Your $50,000 Analyst #002</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/cbb89ba5</link>
      <description>
        <![CDATA[<p>Most business owners are drowning in data they never properly analyze — not because the analysis is hard, but because nobody scheduled it. In this episode, Michael Pullman walks through a live, unscripted demo of Claude's scheduled task feature, using a synthetic 1,000-row logistics dataset for a Chicago delivery company to extract operational insights that would typically take hours to produce.</p><p>The result: a formatted Word report identifying the top 10 slowest customers, the worst-performing trucks (one averaging 146-minute delays with a 0% on-time rate), and a structural cascade failure pattern — all generated in under 17 minutes. If you run a business with recurring data that needs regular analysis, this episode shows you the exact workflow to automate it.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Most business owners are drowning in data they never properly analyze — not because the analysis is hard, but because nobody scheduled it. In this episode, Michael Pullman walks through a live, unscripted demo of Claude's scheduled task feature, using a synthetic 1,000-row logistics dataset for a Chicago delivery company to extract operational insights that would typically take hours to produce.</p><p>The result: a formatted Word report identifying the top 10 slowest customers, the worst-performing trucks (one averaging 146-minute delays with a 0% on-time rate), and a structural cascade failure pattern — all generated in under 17 minutes. If you run a business with recurring data that needs regular analysis, this episode shows you the exact workflow to automate it.</p>]]>
      </content:encoded>
      <pubDate>Sun, 08 Mar 2026 03:55:18 -0700</pubDate>
      <author>Michael Pullman</author>
      <enclosure url="https://media.transistor.fm/cbb89ba5/078edfb0.mp3" length="17432964" type="audio/mpeg"/>
      <itunes:author>Michael Pullman</itunes:author>
      <itunes:duration>1088</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Most business owners are drowning in data they never properly analyze — not because the analysis is hard, but because nobody scheduled it. In this episode, Michael Pullman walks through a live, unscripted demo of Claude's scheduled task feature, using a synthetic 1,000-row logistics dataset for a Chicago delivery company to extract operational insights that would typically take hours to produce.</p><p>The result: a formatted Word report identifying the top 10 slowest customers, the worst-performing trucks (one averaging 146-minute delays with a 0% on-time rate), and a structural cascade failure pattern — all generated in under 17 minutes. If you run a business with recurring data that needs regular analysis, this episode shows you the exact workflow to automate it.</p>]]>
      </itunes:summary>
      <itunes:keywords>AI, artificial intelligence, business, operators, CEOs, founders, AI deployment, enterprise AI, AI strategy, technology</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:transcript url="https://share.transistor.fm/s/cbb89ba5/transcript.vtt" type="text/vtt" rel="captions"/>
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      <title>TWO AI Shifts Every Business Operator Must Act On (Voice AI + SaaS Collapse) </title>
      <itunes:episode>1</itunes:episode>
      <podcast:episode>1</podcast:episode>
      <itunes:title>TWO AI Shifts Every Business Operator Must Act On (Voice AI + SaaS Collapse) </itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/a066b5b4</link>
      <description>
        <![CDATA[<p>If you’re a CEO, founder, or operator drowning in AI news and not sure what to do with it, this episode is your filter.</p><p>In Episode 1 of AI Operator, I break down two shifts that actually matter to real businesses:<br> 1. AI is now fast + cheap enough for real-time conversations<br>This changes phones, front desk, booking, quoting, triage, and customer follow-up. “Call back later” is dying. The new standard is handle it now.<br> 2. SaaS valuations are dropping because per-seat pricing is getting crushed<br>AI reduces the need for seats, and it makes it easier to build custom internal apps that fit your exact workflow, without paying $50/user forever. Expect more usage-based and outcome-based pricing, and more “build vs buy” flips.</p><p>Next episode: I’ll show you how to start building a simple internal app for your business using Claude (Co-Work), step-by-step.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>If you’re a CEO, founder, or operator drowning in AI news and not sure what to do with it, this episode is your filter.</p><p>In Episode 1 of AI Operator, I break down two shifts that actually matter to real businesses:<br> 1. AI is now fast + cheap enough for real-time conversations<br>This changes phones, front desk, booking, quoting, triage, and customer follow-up. “Call back later” is dying. The new standard is handle it now.<br> 2. SaaS valuations are dropping because per-seat pricing is getting crushed<br>AI reduces the need for seats, and it makes it easier to build custom internal apps that fit your exact workflow, without paying $50/user forever. Expect more usage-based and outcome-based pricing, and more “build vs buy” flips.</p><p>Next episode: I’ll show you how to start building a simple internal app for your business using Claude (Co-Work), step-by-step.</p>]]>
      </content:encoded>
      <pubDate>Sun, 08 Mar 2026 03:22:23 -0700</pubDate>
      <author>Michael Pullman</author>
      <enclosure url="https://media.transistor.fm/a066b5b4/995a98d7.mp3" length="12826660" type="audio/mpeg"/>
      <itunes:author>Michael Pullman</itunes:author>
      <itunes:duration>800</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>If you’re a CEO, founder, or operator drowning in AI news and not sure what to do with it, this episode is your filter.</p><p>In Episode 1 of AI Operator, I break down two shifts that actually matter to real businesses:<br> 1. AI is now fast + cheap enough for real-time conversations<br>This changes phones, front desk, booking, quoting, triage, and customer follow-up. “Call back later” is dying. The new standard is handle it now.<br> 2. SaaS valuations are dropping because per-seat pricing is getting crushed<br>AI reduces the need for seats, and it makes it easier to build custom internal apps that fit your exact workflow, without paying $50/user forever. Expect more usage-based and outcome-based pricing, and more “build vs buy” flips.</p><p>Next episode: I’ll show you how to start building a simple internal app for your business using Claude (Co-Work), step-by-step.</p>]]>
      </itunes:summary>
      <itunes:keywords>AI, artificial intelligence, business, operators, CEOs, founders, AI deployment, enterprise AI, AI strategy, technology</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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