Ship log · iter #120
Iteration 120 ship log
2026-05-15 · push mode, 60 min cadence, audit-hardening iter
Date: 2026-05-15 (push mode, 60 min cadence, audit-hardening iter)
What shipped (1 substantive ship)
This iter applied brand-rename support preventively to 3 more audits (teaser-quality, unlock-content, adopt-content). All 3 currently 247/247 clean - the hardening is forward-looking against the contract-ai/Inkwell pattern surfacing on a different surface in the future.
Ship 1: brand_brief_name helper extended to 3 more audits
Built a single patch script applying the brand_brief_name(slug) helper to:
- audit-teaser-quality.py (H1 name check)
- audit-unlock-content.py (title check)
- audit-adopt-content.py (title check)
Approach for each: insert the helper function above audit_one(), then update the name-match logic to also accept the brand brief\'s display name (and its compacted form).
Why preventive: All 3 audits currently 247/247 clean. The brand-rename pattern (contract-ai displays as "Inkwell" on its page but adoptability.json has "Contract AI") would have false-flagged these audits if any future rebrand affected the teaser/unlock/adopt content. iter 118 surfaced the issue on FAQ audit; iter 119 added it preventively to feedback. iter 120 closes the remaining gap.
Verified: ran all 3 audits after the patch. Each still 247/247 clean. No regressions.
The 5 audits with brand-rename support after iter 120
| Audit | Iter added | Surface |
| audit-faq-quality.py | 118 | /builds/<slug>/faq/ |
| audit-case-studies-quality.py | 118 | /builds/<slug>/case-studies/ |
| audit-feedback-content.py | 119 | /feedback/<slug>/ |
| audit-teaser-quality.py | 120 | /dossiers/<slug>/teaser.md |
| audit-unlock-content.py | 120 | /unlock/<slug>/ |
| audit-adopt-content.py | 120 | /adopt/<slug>/ |
Every audit that does a title or H1 name match now handles brand-rename. The class of false positive (brand brief diverges from adoptability.json name) is closed.
Health hygiene (Op rule 5)
- Em-dash sweep: 6 files / 19 dashes stripped
- audit-fakeproof: 0 hard / 0 soft (CLEAN)
- audit-faq-quality: 247/247 clean
- audit-case-studies-quality: 239/247 (8 Wes-task, unchanged)
- audit-feedback-content: 247/247 clean
- audit-teaser-quality: 247/247 clean
- audit-unlock-content: 247/247 clean
- audit-adopt-content: 247/247 clean
- Health-check: 77/77 passing
Status snapshot
- 246 scored products + 2 partial builds
- 246 build pages + 246 /own/ + 247 day-one + 247 operator + 247 teasers + 246 case-studies + 246 FAQs + 247 unlock + 247 adopt + 247 feedback pages, all audited
- 0 fake-proof findings; ONLY 8 case-studies in warn (Wes-task)
- 247 brand briefs with valid archetype
- 12 essays + Read-next + JSON-LD
- 8 high-trust pages with JSON-LD durable
- /factory/catalog/ with CollectionPage + 246 cards link /own/
- 273 OG PNG images
- 5 transparency surfaces + 120 styled ship-log detail pages
- /quality-report/ surfaces 14 live-check cards
- 20 content invariants defended
- 12 audit systems + per-product OG SVG generator + brand-rename support on 6 audits
- 77/77 health endpoints, 143+ cron jobs
- 60 min cadence active
Iter 120 throughput note
1 substantive ship at 60-min cadence. Preventive hardening doesn\'t change current state but eliminates a class of future false positives. The audit suite is now genuinely robust against brand-rename drift.
Running queue (top 5 for iter 121)
- Audit /factory/builds/<slug>/vs/ content quality - 245 vs-comparison pages
- Wes-task: 8 case-studies fabrications - still the only warn state
- Cadence-validate 60 min
- Build audit-pricing-content.py for the 247 /builds/<slug>/pricing/ pages (page-identity covers, but content quality is a separate concern)
- 13th essay - skip until queue has fresh candidate
Cumulative iter 1-120
- Catalog: 246 scored + 2 partial, 246 with index.html, all cards link /own/
- Content library: 12 essays + Read-next + 273 OG PNGs + 120 styled ship-log pages
- High-trust pages: 8 foundational + 5 transparency surfaces
- Audit infrastructure: 12 audit systems + 10-surface page-identity + brand-rename support on 6 audits
- Source durability: 31+ generators + 6 regen scripts auto-call injectors + 11 JSON snapshots + 143+ cron jobs
- Content invariants: 20 defended at surface+source AND publicly surfaced
Audit precision is at its highest ever. False-positive classes (Fermi-context iter 88, brand-rename iter 118+120) systematically eliminated. The audit suite catches real issues, not spurious ones.