Three shareable demo / benchmark writeups modeled on the existing `docs/evals/phase6_comparative_demo.md` treatment, each accompanied by an asciinema-rendered GIF for at-a-glance viewing on the repo page. - docs/evals/anti_regression_demo.md — three-gate defense; per-gate table; honesty paragraph about the synthetic regression in S2 (real ReplayEvidence shape via documented run_replay= kwarg); sample run output; falsifiable claims index. - docs/evals/learning_loop_demo.md — headline before/after; CORE-vs- pretraining comparison table; trust-boundary code snippet showing the _CORPUS_PATH swap; per-scene table; full sample run; subject- selection rationale (pack-resident ∧ no active chain ∧ deterministic intent classification). - docs/evals/teaching_loop_bench.md — what's byte-identical and why it matters per artifact; 100-run reference numbers (unique=1 across all five artifacts; mean=1.849s p50=1.838s p95=1.851s); pairing paragraph with ADR-0045 (read vs write determinism). GIF captures (rendered with asciinema 3.2.0 + agg 1.8.1, github-dark theme, JetBrains Mono): - docs/evals/assets/anti_regression.gif (120K, 944x843) - docs/evals/assets/learning_loop.gif (332K, 944x1039) - docs/evals/assets/teaching_loop_bench.gif (64K, 860x1000) Raw .cast files preserved alongside the GIFs for re-rendering at different themes / speeds / sizes without re-recording. README.md — added writeup-link column to the Inter-Session Memory three-demo table.
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118 KiB
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