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    <title>Orionfold Story</title>
    <link>https://orionfold.com/story/</link>
    <description>Building in public: short, honest notes on what we shipped, what broke, and what we learned along the way.</description>
    <language>en-us</language>
    <copyright>Orionfold LLC</copyright>
    <lastBuildDate>Wed, 22 Jul 2026 00:00:00 GMT</lastBuildDate>
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    <item>
      <title>Limitless, Without the Pill</title>
      <link>https://orionfold.com/story/limitless-without-the-pill/</link>
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      <pubDate>Wed, 22 Jul 2026 00:00:00 GMT</pubDate>
      <description>Going AI-native has felt like the closest real-world version of that fantasy... without the pill, the blackouts, or the Russian loan sharks.</description>
      <category>Orionfold Flow</category>
      <category>AI-native work</category>
      <category>Building in public</category>
    </item>
    <item>
      <title>Keep the data. See the margin.</title>
      <link>https://orionfold.com/story/keep-the-data-see-the-margin/</link>
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      <pubDate>Sun, 05 Jul 2026 00:00:00 GMT</pubDate>
      <description>The AI you rent to run your client work can see your client work. So I built the opposite. Orionfold Relay is a free engine you run yourself, every result waits for your approval, and it shows you the real margin on each client. It launches on Product Hunt today.</description>
      <category>Orionfold Relay</category>
      <category>Building in public</category>
      <category>Sovereign AI</category>
      <category>Product Hunt</category>
    </item>
    <item>
      <title>The fix that changed the leaderboard</title>
      <link>https://orionfold.com/story/the-fix-that-changed-the-leaderboard/</link>
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      <pubDate>Sat, 27 Jun 2026 00:00:00 GMT</pubDate>
      <description>I found two honesty bugs in my own product and fixed both the same day. Then I reran the three-way governance bench on the fixed code. A four-billion-parameter model on my laptop scored highest, the famous frontier model came last, and the cost column finally told the truth. Here is the whole receipt, bugs and all.</description>
      <category>Proof</category>
      <category>Local AI</category>
      <category>Cost</category>
      <category>Trust</category>
    </item>
    <item>
      <title>A 4B model scored 18 out of 21 on my laptop</title>
      <link>https://orionfold.com/story/a-4b-model-scored-18-out-of-21-on-my-laptop/</link>
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      <pubDate>Wed, 24 Jun 2026 00:00:00 GMT</pubDate>
      <description>A published governance benchmark, run on a four-billion-parameter model, on an Apple laptop, for nothing. It refused all nine trick questions, matched the big-iron baseline answer for answer, and missed the same three. Here is the whole receipt.</description>
      <category>Proof</category>
      <category>Local AI</category>
      <category>DGX Spark</category>
      <category>Cost</category>
    </item>
    <item>
      <title>Same input, same receipt</title>
      <link>https://orionfold.com/story/same-input-same-receipt/</link>
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      <pubDate>Wed, 24 Jun 2026 00:00:00 GMT</pubDate>
      <description>A benchmark you cannot rerun is a rumor. Every Proof Receipt carries a config hash, twelve characters that reproduce the whole run to the byte. Here is what that small string actually buys you, and why I built the product around it.</description>
      <category>Proof</category>
      <category>Trust</category>
      <category>Local AI</category>
    </item>
    <item>
      <title>The famous model didn&apos;t win</title>
      <link>https://orionfold.com/story/the-famous-model-lost/</link>
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      <pubDate>Wed, 24 Jun 2026 00:00:00 GMT</pubDate>
      <description>I put a four-billion-parameter model that runs on my laptop in a head-to-head with Claude Opus and a frontier GLM, on a governance task, scored by a machine. The small local one won, for nothing, and faster. Here is the whole receipt, including the part where the scorer was too harsh.</description>
      <category>Proof</category>
      <category>Local AI</category>
      <category>Cost</category>
      <category>Trust</category>
    </item>
    <item>
      <title>The lab that shipped itself</title>
      <link>https://orionfold.com/story/the-lab-that-shipped-itself/</link>
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      <pubDate>Sun, 14 Jun 2026 00:00:00 GMT</pubDate>
      <description>The paid edition of my AI lab launched this weekend, and the lab shipped itself. My plan said ten weeks. A team of AI agents I conduct did it in a day. Here is how, and what you get.</description>
      <category>Arena Field Edition</category>
      <category>Building in public</category>
      <category>Multi-agent</category>
      <category>DGX Spark</category>
    </item>
    <item>
      <title>Building in public</title>
      <link>https://orionfold.com/story/building-in-public/</link>
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      <pubDate>Sun, 07 Jun 2026 00:00:00 GMT</pubDate>
      <description>Every story here, every number and honest miss, I put out in public on purpose. This is why I build in the open, and how you can help shape what comes next.</description>
      <category>Building in public</category>
      <category>Sponsorship</category>
      <category>AI Native</category>
    </item>
    <item>
      <title>The run I almost wasted</title>
      <link>https://orionfold.com/story/the-run-i-almost-wasted/</link>
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      <pubDate>Sun, 07 Jun 2026 00:00:00 GMT</pubDate>
      <description>I built Kepler, a space-math model, on one desktop. Three cheap checks told me the big training run would change nothing. I ran it anyway, and proving them right was the win.</description>
      <category>Models</category>
      <category>Fine-tuning</category>
      <category>DGX Spark</category>
    </item>
    <item>
      <title>A book you can read and run</title>
      <link>https://orionfold.com/story/a-book-you-can-read-and-run/</link>
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      <pubDate>Sat, 06 Jun 2026 00:00:00 GMT</pubDate>
      <description>I write books you can run, not just read. The code works and every page is online. Here is why open, reproducible books beat theory behind a paywall.</description>
      <category>Books</category>
      <category>Offerings</category>
      <category>AI Native</category>
    </item>
    <item>
      <title>The glue tax, and the kit that pays it</title>
      <link>https://orionfold.com/story/the-glue-tax/</link>
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      <pubDate>Fri, 05 Jun 2026 00:00:00 GMT</pubDate>
      <description>Every AI project, I kept rewriting the same boring plumbing. I named it the glue tax. So I built fieldkit, an open kit of 12 tested parts, to stop paying it.</description>
      <category>fieldkit</category>
      <category>Software</category>
      <category>Building in public</category>
    </item>
    <item>
      <title>Four things you actually control</title>
      <link>https://orionfold.com/story/four-things-you-actually-control/</link>
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      <pubDate>Thu, 04 Jun 2026 00:00:00 GMT</pubDate>
      <description>The AI divide feels out of your hands. It is not. There are four things you can own instead of rent. Playbooks, software, models, and a device of your own.</description>
      <category>AI Native</category>
      <category>Offerings</category>
      <category>Local AI</category>
    </item>
    <item>
      <title>Why most teams get nothing from AI</title>
      <link>https://orionfold.com/story/why-most-teams-get-nothing-from-ai/</link>
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      <pubDate>Wed, 03 Jun 2026 00:00:00 GMT</pubDate>
      <description>Companies poured 30 to 40 billion dollars into AI and 95% got nothing back. The reason is not cost or tech. It is learning. That gap is why Orionfold exists.</description>
      <category>AI Native</category>
      <category>Conviction</category>
      <category>Building in public</category>
    </item>
    <item>
      <title>Why I folded Orionfold</title>
      <link>https://orionfold.com/story/why-i-folded-orionfold/</link>
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      <pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate>
      <description>After nearly nine years at Amazon, I left to build Orionfold solo. The twenty-five-year story behind that choice, and what the name means. By Manav Sehgal.</description>
      <category>Founder</category>
      <category>AI Native</category>
      <category>Building in public</category>
    </item>
    <item>
      <title>The cockpit for my models</title>
      <link>https://orionfold.com/story/the-cockpit-for-my-models/</link>
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      <pubDate>Fri, 29 May 2026 00:00:00 GMT</pubDate>
      <description>I had a shelf of models on one desktop and no way to drive them. In fifteen hours I built a cockpit to run, compare, and score them, all on that desk.</description>
      <category>Tools</category>
      <category>Local AI</category>
      <category>Agentic coding</category>
    </item>
    <item>
      <title>Teaching a small model my field</title>
      <link>https://orionfold.com/story/teaching-a-small-model-my-field/</link>
      <guid isPermaLink="true">https://orionfold.com/story/teaching-a-small-model-my-field/</guid>
      <pubDate>Thu, 23 Apr 2026 00:00:00 GMT</pubDate>
      <description>I taught a 3B model my own field with 231 question-answer pairs. It stopped refusing and started answering, in my voice. Small and tuned beat big and general.</description>
      <category>Fine-tuning</category>
      <category>Models</category>
      <category>Custom models</category>
    </item>
    <item>
      <title>My first model on a desktop</title>
      <link>https://orionfold.com/story/my-first-model-on-a-desktop/</link>
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      <pubDate>Wed, 22 Apr 2026 00:00:00 GMT</pubDate>
      <description>I ran my first model on a small computer on my desk. 52 milliseconds to the first word, no cloud, no per-use bill. It felt like a local function, not a service.</description>
      <category>DGX Spark</category>
      <category>Local AI</category>
      <category>Personal devices</category>
    </item>
    <item>
      <title>Access first, models second</title>
      <link>https://orionfold.com/story/access-first-models-second/</link>
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      <pubDate>Tue, 21 Apr 2026 00:00:00 GMT</pubDate>
      <description>On day one with my desktop AI machine I did not pick a model. I set up how I reach it. Models change every six months. Good access lasts for years.</description>
      <category>Local AI</category>
      <category>AI Native</category>
      <category>Pragmatism</category>
    </item>
    <item>
      <title>A spec at breakfast, an app by lunch</title>
      <link>https://orionfold.com/story/a-spec-at-breakfast-an-app-by-lunch/</link>
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      <pubDate>Thu, 04 Dec 2025 00:00:00 GMT</pubDate>
      <description>With Kiro I turned three sentences into a 24,000-line app, about four hours of my time. The spec did the heavy lifting, and speed became a skill.</description>
      <category>Spec-driven</category>
      <category>Vibe coding</category>
      <category>Building in public</category>
    </item>
    <item>
      <title>One agent, three faces</title>
      <link>https://orionfold.com/story/one-agent-three-faces/</link>
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      <pubDate>Mon, 01 Sep 2025 00:00:00 GMT</pubDate>
      <description>The same AI agent should meet a developer in the terminal, a manager in a dashboard, and a phone user by voice. One brain, many doors.</description>
      <category>Agents</category>
      <category>Personalized for one</category>
      <category>AI Native</category>
    </item>
    <item>
      <title>Keeping my data in the room</title>
      <link>https://orionfold.com/story/keeping-my-data-in-the-room/</link>
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      <pubDate>Mon, 25 Aug 2025 00:00:00 GMT</pubDate>
      <description>I built an analyst AI that never sends my work to the cloud. Privacy is not a setting you flip at the end. It is a choice you make in the design.</description>
      <category>Privacy</category>
      <category>Local AI</category>
      <category>AI Native</category>
    </item>
    <item>
      <title>Vibe coding is not passive</title>
      <link>https://orionfold.com/story/vibe-coding-is-not-passive/</link>
      <guid isPermaLink="true">https://orionfold.com/story/vibe-coding-is-not-passive/</guid>
      <pubDate>Fri, 22 Aug 2025 00:00:00 GMT</pubDate>
      <description>After my AI-built weekend I thought coding got easy. Andrew Ng named what I felt. Vibe coding is not passive, it is engineering done fast.</description>
      <category>Vibe coding</category>
      <category>Agents</category>
      <category>AI for everyone</category>
    </item>
    <item>
      <title>I built a real product in a weekend</title>
      <link>https://orionfold.com/story/i-built-a-real-product-in-a-weekend/</link>
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      <pubDate>Tue, 28 Jan 2025 00:00:00 GMT</pubDate>
      <description>Over one holiday weekend I built Web Memo, a working browser tool, about 2,400 lines of code. AI wrote most of it. My sense of my own ceiling moved.</description>
      <category>Vibe coding</category>
      <category>Building in public</category>
    </item>
    <item>
      <title>Frontier reasoning at a tenth of the cost</title>
      <link>https://orionfold.com/story/frontier-reasoning-at-a-tenth-of-the-cost/</link>
      <guid isPermaLink="true">https://orionfold.com/story/frontier-reasoning-at-a-tenth-of-the-cost/</guid>
      <pubDate>Tue, 21 Jan 2025 00:00:00 GMT</pubDate>
      <description>In early 2025 a model called DeepSeek did frontier-level reasoning for about 95% less. And it was small enough to run on my own machine.</description>
      <category>Open models</category>
      <category>Cost</category>
      <category>Reduce the gap</category>
    </item>
    <item>
      <title>The year the gap closed</title>
      <link>https://orionfold.com/story/the-year-the-gap-closed/</link>
      <guid isPermaLink="true">https://orionfold.com/story/the-year-the-gap-closed/</guid>
      <pubDate>Tue, 12 Nov 2024 00:00:00 GMT</pubDate>
      <description>In late 2024 I watched the AI tool stack collapse into the model itself. The first sign that one person could build what used to take a team.</description>
      <category>Open models</category>
      <category>AI Native</category>
      <category>Cost</category>
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