The Loop.
A self-directed process that runs recursive autonomous optimizations: it reads the current state, picks the single highest-leverage move, executes it end to end, verifies the result, logs it - then feeds that new state back into itself and runs again. Every pass compounds on the last.
- 01
Re-read state
Start each run by re-reading every prior artifact and the last iteration's output, so it always plans from the latest truth, not stale memory.
- 02
Pick the highest-leverage move
Score what would move things most right now and choose the single best move for this pass.
- 03
Execute autonomously
Do the work end to end (research, write, build, fix, deploy) without pausing for step-by-step approval.
- 04
Verify the lift
Check its own output, keep only changes that demonstrably improve the result, discard regressions.
- 05
Log and re-enter
Write the new state, then feed it back into step one. The loop tightens each pass.
Read state, optimize, log, repeat.