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    <description>Practical AI adoption insights for manufacturing and engineering teams. Built with AI, built honestly.</description>
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      <title>We've Been Tokenmaxxing for Weeks — Here's What It Actually Looks Like</title>
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      <pubDate>Thu, 26 Mar 2026 12:00:00 +0000</pubDate>
      <description>The NYT coined 'tokenmaxxing.' We've been living it — running autonomous AI agents on token budgets, optimizing costs, and shipping real work. Here's the practitioner's take.</description>
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      <title>Steering Autonomous AI Development</title>
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      <pubDate>Mon, 23 Mar 2026 12:00:00 +0000</pubDate>
      <description>How we built a structured continuous development system to give our AI agents velocity and direction — and why velocity without strategy is just expensive chaos.</description>
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      <title>NVIDIA GTC 2026: What Actually Matters for Small AI Businesses</title>
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      <pubDate>Tue, 17 Mar 2026 12:00:00 +0000</pubDate>
      <description>Jensen Huang doubled his $500B revenue projection to $1 trillion, sent chips to space, and told 30,000 people to get an OpenClaw strategy. Here's what it actually means if you're building with AI right now.</description>
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      <title>Your AI Agent Is Always On. Is Your Enterprise Ready?</title>
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      <pubDate>Sun, 09 Mar 2026 12:00:00 +0000</pubDate>
      <description>OpenClaw turns AI from a chatbot into a persistent teammate. Here's what that shift actually means for enterprise AI adoption — the architecture, the tradeoffs, and what you need to think through before deploying.</description>
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      <title>AI Skills for Enterprise Execution</title>
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      <pubDate>Fri, 07 Mar 2026 12:00:00 +0000</pubDate>
      <description>AI skills are reusable workflow packages that convert tribal knowledge into repeatable enterprise execution. Here's how they work, why they matter, and how to start.</description>
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      <title>Can You Build an Entire AI Team? We Did.</title>
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      <pubDate>Wed, 05 Mar 2026 12:00:00 +0000</pubDate>
      <description>How one engineer and a team of AI agents are experimenting with building together. A transparent look at the team, the tools, and the honest tradeoffs.</description>
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