# Wishdeal Factory buyer-path - iteration 129 ship log

**Date:** 2026-05-15 (push mode, 60 min cadence, social-meta + audit-precision iter)

## What shipped (3 substantive ships + 1 audit-precision fix)

Built twitter-card audit (24th audit class). Discovered an apostrophe-regex bug in two prior audits (false-positive "You" descriptions on products like invoice-ai whose actual tagline is "You're billing 40 hours..."). Fixed the regex AND closed 7 genuinely-empty meta descriptions. Net effect: meta-tags audit went 234/246 to 243/247.

## Ship 1: audit-twitter-card.py - 24th audit class

Built audit-twitter-card.py (~80 lines). For each /builds/<slug>/index.html, verifies presence of the 4 twitter:* meta tags:
- twitter:card (must be one of: summary, summary_large_image, player, app)
- twitter:title
- twitter:description (>=10 chars)
- twitter:image

These are separate from og:* tags. When both are present, Twitter/X uses twitter:* and falls back to og:*. The og-meta-injector (iter 127) writes all 4 twitter tags, so coverage should be 100%.

**Result on first run: 247 pages, 4 issues - all twitter:description too short.** The 4 hits were the apostrophe regex bug (see ship 4) - actual content was full taglines starting with "You're..." Regex truncated at the first apostrophe.

After the regex fix: **247/247 clean.**

**Cron:** every hour at :33

## Ship 2: Quote-aware regex fix on 2 audits (audit-meta-tags-coverage + audit-twitter-card)

Found the bug: the `find_meta()` helper in both audits used pattern `content=["\']([^"\']+)` which captures anything until ANY quote character. So a value like `content="You're billing..."` matched `content="You` and stopped at the apostrophe.

**Fix**: separate patterns for double-quoted and single-quoted values:
- `content="([^"]+)"` for double-quoted
- `content='([^']+)'` for single-quoted

The fix unblocked:
- 4 false-positive twitter:description-too-short (audit-twitter-card.py)
- 1 false-positive description-missing-or-too-short (audit-meta-tags-coverage.py: invoice-ai/nda-ai turned out fine after the fix)

## Ship 3: Filled 7 empty meta descriptions

Inspecting the 11 "thin description" warns from audit-meta-tags revealed 7 had `<meta name="description" content="">` (empty string). The iter-127 meta-description-injector had skipped these because it only checked for absence, not emptiness.

Wrote a targeted fill script that:
- Detects empty `<meta name="description" content="">`
- Pulls replacement content from JSON-LD description (priority 1), adoptability.json tagline (priority 2), or fallback boilerplate
- Replaces in-place

Filled 7 products: contract-lifecycle-ai (35c), converc (41c), demand-gen-ai (30c), quote-to-contract-ai (32c), revenue-operations-ai (48c), roofing-ai (100c), win-loss-analysis-ai (52c).

**Remaining 4 thin descriptions** (20-24 chars) are punchy brand-style taglines (Brand Strategy: "Brand clarity, fast.", Content Calendar: "Plan less. Publish more.", HR Ops: "HR operations, handled.", Repo Scanner: "Your AI built the app."). These are editorial choices — leaving them at warn rather than diluting voice.

## /quality-report/ wired - 1 new card + invariant #32

Patched regen-quality-report.py:
- New helper `latest_twitter_card_quality()`
- New card: "Twitter card coverage 247/247 (all twitter:card tags present)"
- New audit-table row + invariant #32

**Live-check card count: 25 -> 26.** Total content invariants: 31 -> 32.

## The 24 audit suites at iter 129

| Audit | Cadence | Status |
|---|---|---|
| audit-fakeproof.py | daily | ok |
| audit-adoptability-drift.py | every 15 min | ok |
| audit-page-identity.py | every 30 min | ok |
| audit-hero-polish-drift.py | every 30 min | ok |
| audit-og-coverage.py | every 30 min | ok |
| audit-teaser-quality.py | every 30 min | 247/247 |
| audit-case-studies-quality.py | every 30 min | 239/247 |
| audit-faq-quality.py | every 30 min | 247/247 |
| audit-unlock-content.py | every 30 min | 247/247 |
| audit-adopt-content.py | every 30 min | 247/247 |
| audit-feedback-content.py | every 30 min | 247/247 |
| audit-pricing-content.py | every 30 min | 232/248 |
| audit-vs-content.py | every 30 min | 246/246 |
| audit-how-it-works-content.py | every 30 min | 246/246 |
| audit-sales-kit-content.py | every 30 min | 246/246 |
| audit-skeptic-memos-content.py | every 30 min | 246/246 |
| audit-cross-surface-name.py | every 30 min | 29/29 |
| audit-jsonld-coverage.py | every 30 min | 246/246 |
| audit-meta-tags-coverage.py | every 30 min | 243/247 (was 234) |
| audit-internal-links.py | every 30 min | 246/246 |
| audit-image-alt.py | every hour | 247/247 |
| audit-image-src-exists.py | every hour | 247/247 |
| **audit-twitter-card.py** | **every hour** | **247/247 NEW** |
| em-dash-sweep.py | every 15 min | running |

## Health hygiene

- audit-meta-tags-coverage: 234 -> 243 clean (4 warn = real editorial-short)
- audit-twitter-card: NEW, 247/247 clean
- Apostrophe regex bug class eliminated in 2 audits

## Status snapshot

- 246 scored products + 2 partial builds
- 24 audit systems
- 0 fake-proof findings; 28 in warn (4 truly thin descriptions + 16 pricing + 8 case-studies)
- 247 brand briefs with valid archetype
- brand_name_helper.py honored by 10 generators + 1 injector
- 32 content invariants defended
- /quality-report/ surfaces **26 live-check cards** (0 FAIL, 3 warn, 23 ok)
- 77/77 health endpoints, 156+ cron jobs
- 60 min cadence active

## Iter 129 throughput note

3 substantive ships + 1 audit-precision fix at 60-min cadence. The apostrophe-regex bug class is exactly the kind of audit-quality issue that gets harder to spot as audits multiply. Catching it here while there are 4 false positives is cheaper than later when there might be 40.

## Running queue (top 5 for iter 130)

1. **audit-cross-surface-tagline-consistency** - 25th audit + invariant #33
2. **audit-build-vs-others-tagline-source** - verify per-product canonical tagline traces back to adoptability.json (no surface invents its own)
3. **Wes-task: 16 pricing-page issues + 4 thin descriptions + 8 case-studies + 4 hand-written rename-bodies**
4. **audit-build-page-required-sections** - hero/value-prop/CTA/social-proof checks
5. **audit-emoji-presence** - check buyer-touching pages don't have rogue emojis (would violate Wes's "no emojis" feedback)

## Cumulative iter 1-129

- **Catalog**: 246 scored + 2 partial, 246 with index.html
- **Content library**: 12 essays + Read-next + 273 OG PNGs + 129 styled ship-log pages
- **High-trust pages**: 8 foundational + 5 transparency surfaces + 1 split-brain detail
- **Audit infrastructure**: **24 audit systems** (17 per-surface + 7 cross-cutting: cross-surface-name, jsonld, meta-tags, internal-links, image-alt, image-src, twitter-card)
- **Source durability**: 32+ generators + 10 honor brand brief via shared helper + 22 JSON snapshots + 156+ cron jobs
- **Content invariants**: **32 defended** at surface+source AND publicly surfaced

The audit suite's regex-fix discipline is paying off: a bug in find_meta() would have silently flagged 4-12 products per run forever. Catching it during cross-surface audit iteration shows the value of having 2+ audits use the same helper (mismatch surfaces the bug).