Chief Growth Officer at @Xtrace_ai | founder | @yale Building your team's shared brain sharing the real 0 to 1 journey, mistakes included

San Francisco, CA
Joined November 2023
AI gets better → humans get lazier → prompts get shorter → output gets generic. When everyone's using the same models with the same low-effort prompts, everything starts to look the same. The only differentiator left? An AI that actually knows your context. Your history. Your preferences. Memory becomes the moat.
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leggo! this is what yall have been waiting for
Today we're launching XTrace, an open-source macOS app for people who code with agents. See AI vs human time, API-equivalent spend, and insights on what to improve. Add your own scoring skills or ones you discover. Try it: github.com/XTraceAI/xtrace-d…
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Today we're launching XTrace, an open-source macOS app for people who code with agents. See AI vs human time, API-equivalent spend, and insights on what to improve. Add your own scoring skills or ones you discover. Try it: github.com/XTraceAI/xtrace-d…
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ain’t no way this going to production…but if they do. the car chases will be 🔥🔥🔥
BREAKING: Tesla's Roadster goes airborne, soaring over a row of Tesla vehicles in a live stunt at its unveiling event.
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ep 3 - sessionmaxxing is in
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ep 2 - agents love to ragebait
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ep 1 - Jules the new eng hire
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Introducing Claude.md doctor An agent skill that examines your CLAUDE.md / AGENTS.md, grades it and tells you how to FIX it It even backtests your sessions to find the flaws that you can't tell just from the file Free and open-source. Try it today with just 1 command: npx skills add agent-clinic/claude-md-doctor
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We're obsessed with making AI smarter. Maybe we should be obsessed with making it hesitate at the right moments.
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AI doesn't need more answers. It needs better judgment about which answer actually matters.
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The hardest thing to teach AI isn't reasoning. It's knowing when it's wrong.
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Every model can generate an answer. Very few know when to ask for more context.
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Everyone wants smarter AI. I want AI with better judgment. Those are two very different problems.
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The next breakthrough in AI won't come from another benchmark. It'll come from teaching models when not to be confident.
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Intelligence gets attention. Judgment earns trust. That's the gap the AI industry is trying to close.
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The next platform war in AI won't be about models. It'll be about who owns your context. Because memory is where switching costs are born.
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The difference between a tool and a teammate is memory. One executes tasks. The other accumulates context.
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We measure AI by benchmark scores. Users measure it by one question: "Why do I have to tell you this again?"
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The biggest UX problem in AI isn't hallucination. It's having to explain the same thing twice.
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Everyone is obsessed with making AI agents smarter. I'm obsessed with making them remember. Intelligence without memory is just expensive autocomplete.
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I passed on the most valuable company in human history back in 1602, I had the chance to invest in an unknown spice trading company and I completely missed this message...now they're valued at $8 trillion!! oh well, you can't win em all
🤖 Made with AI
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