Most things sold as 'AI agents' are really just chatbots: you ask, they answer, and the moment you stop typing, nothing happens. The goal here is the opposite — a system that keeps working on its own, remembers what it has done, and picks itself back up after a crash, with nobody watching it. Day 0 was about pinning down exactly what that means and laying a fast path to get there. There was already an eight-week plan on paper; we compressed it into five days, each with a single pass-or-fail test that has to be met before moving on. Hard daily checkpoints keep it honest — you can't fake 'done.'
Done
- Defined what autonomy has to mean here, in three plain pillars: the system operates on its own, remembers its own history, and recovers from failure without a human stepping in. Naming those up front kept every later decision aimed at the same target instead of drifting.
- Turned an eight-week roadmap into a five-day sprint, giving each day one concrete pass/fail test. Open-ended 'work on autonomy' runs forever; a daily checkpoint forces a real, demonstrable result every single day.
- Took stock of what was already built so we'd extend it rather than rebuild it. Re-doing infrastructure that already works is the most common way a project like this quietly wastes a week.
Tomorrow
- Make the system fully observable — able to show exactly what it is doing at any moment — and build the first piece of a new, structured way of handling work.
Worth knowing
- The point of a daily checkpoint is honesty. If the day's test does not pass, the day does not get marked done — no partial credit, no 'mostly working.'
Quota
Compute budget: nominal.
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