A flywheel is a heavy spinning wheel. It is hard to get moving — but once it turns, its own stored momentum keeps it going, and every push adds to what is already there. Stop pushing and it does not stall; it coasts.
That is the idea behind how we build. No single heroic move wins — instead, relentless turns compound. Every groomed lesson, every reused template, every banked fix becomes permanent momentum, so the next cycle is cheaper and faster than the last.
Here it runs as a four-stroke engine on a one-week sprint: Sprint Start adds power, Review compresses, Ship exhausts, Lessons takes in fuel for the next turn.
Resource Turnover is real physics: lose a teammate, integrate a new part — a one-time efficiency hit that never quite stops the wheel. Well-groomed, banked lessons are the flywheel mass — permanent momentum that keeps it turning cheaper every cycle.
Jim Collins — The Flywheel Effect (Good to Great). No single miracle move; relentless turns build momentum until breakthrough. → jimcollins.com/concepts/the-flywheel
Amazon / Bezos — the Virtuous Cycle. Drawn on a napkin (2001): better experience → more customers → more selection → lower cost → better experience. → Amazon Flywheel explained
The Data / AI Flywheel — ours. Every groomed lesson improves the system → more use → more lessons → compounding advantage at falling cost. → Data flywheel definition
Every hard-won fix, searchable. Tick "applied" when a lesson is baked into how we build — saved on this device. This grows large over time, so it must be curated and groomed: merge duplicates, retire stale fixes, keep each lesson lean.
Each agent speaks in their own voice (per ReviewBoard.md), framed objectively — never aimed at Jesse. Run the lens that fits; here's where each lands for maximum effect across the four strokes. Each is also a QA checkpoint you can arm in Deeper Analysis.
Pick a master to take the first swing. It drafts in that voice, then auto-files the result for the Review Board. Most token-hungry early — cheaper every cycle as it reuses banked, groomed lessons.