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- docs/: an mdBook documentation site — thesis, architecture, measurement
discipline, equivalence gates, agent loop, isolation/anti-reward-hacking,
playbook, ROI, reproduce, roadmap, and the five case studies (pulled from
their single source in results/ via {{#include}}). Builds clean (21
pages).
- .github/workflows/docs.yml: builds mdBook and deploys to GitHub Pages on
push to main (one-time setup: Settings → Pages → Source = GitHub Actions).
- README.md: rewritten as the project front page — the thesis, the verified
results table, layout, quick start, how it stays honest, links to the
book. Replaces the stale Phase-0-era text.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01EcKPWQ3MQD4NdEHwar96u2
940 B
940 B
Case studies
Five verified case studies, each reproducible from a pinned corpus through the same gated pipeline, each number carrying its 95% CI and workload.
- tokei — compounding algorithmic wins (Rust) — three class-5 wins on the same hot function, each unattended and audited.
- Cheap wins first: build flags & allocators — LTO accepted (+10%), mimalloc held for a human ruling then accepted-scoped.
- The caught false-accept (comrak) — the leaking teardown the bench loved, overturned by audit. The most important study.
- cJSON — the cross-language proof (C) — a sub-threshold win rejected, then a byte-identical win accepted, on a C target.
- Services & scale: latency under load — the cJSON win measured as a latency delta under coordinated-omission-correct replay, turned into a dollar figure mechanically.