Thriving 
HT 
PY Architectural Moat: JIT-JEV Context OS — Epistemic runtime & JEV System 1 context gate for AI agents (L0 SQLite WAL <3ms, Epistemic Invariants I1–I10, CERN Zenodo DOI: 10.5281/zenodo.22649542)
https://doi.org/10.5281/zenodo.22649542 ↗// readme
Every number below links to a committed artifact. Single runs are marked N=1; treat them as case studies, not population estimates.
| Run | Setup | Turns | Wall time | Prompt tokens | Pass |
|---|---|---|---|---|---|
| Synthapse feature, 45 modules | gemini-3.8-flash, N=1 | 171 → 66 (−61%) | 568 s → 238 s (2.38x) | not recorded | both |
| 10-task SWE-style fixtures | 10 tasks × 3 modes, N=1 each | 69 → 49 (−29%), fewer in 9/10 | 208 s → 132 s (−36%), faster in 7/10 | median −1.1%; total +11% (one outlier +189%) | 10/10 vs 10/10 |
| A/B on claude-opus-5-5, Hermes CLI (2026-10-30), 8 tasks × 3 reps × 2 arms | all 48 runs | API calls: see rows | – | +14% (ON 11.54M vs OFF 10.10M) | 23/24 vs 24/24 |
| same | feature task (median) | API calls 18 → 15 (−17%) | – | −18% | 3/3 vs 3/3 |
| same | single-file… |