# Wishdeal Factory buyer-path - iteration 130 ship log **Date:** 2026-05-15 (push mode, 60 min cadence, brand-voice audits iter) ## What shipped (2 substantive ships) Two cross-cutting audits that catch brand-voice and content-consistency drift: emoji presence (Wes's "no emojis" feedback) + cross-surface tagline consistency. Audit count: 24 -> 26. ## Ship 1: audit-emoji-presence.py - 25th audit class Built audit-emoji-presence.py (~115 lines). Scans **2,738 user-facing files** across 14 surface types for emoji glyphs, including: - /builds// index (246) - /builds//{pricing,faq,vs,how-it-works,sales-kit,case-studies,skeptic-memos} (1722) - /unlock//, /adopt//, /feedback// (~735) - /honest/, /for/, /playbooks/* Detection: Unicode emoji ranges (Misc Symbols, Pictographs, Dingbats, Faces, Transport) PLUS HTML-entity emojis (`💡` etc). Strips style + script + JSON-LD blocks before scanning (those legitimately may contain symbol references). **Result: 2719/2738 clean. 19 build pages have rogue emojis.** Offenders (build/): brief-ai, childcare-ai, documentation-ai, fleet-ai (12 emojis), hr-operations-ai, integration-marketplace-ai, landscape-ai, msp-ai, nda-ai, pharmacy-ai, podcast-ai, prospect-enrichment-ai, quote-ai, seller-ai, solo-analytics, student-loan-advisor-ai, team-analytics, warehouse-ai (10 emojis), warm-intro-network-ai. Mix of literal Unicode glyphs and HTML-entity-encoded ones. Common offenders: 📊 📈 📞 🔧 ✓ 💰. These are mostly hand-crafted product pages from before the "no emojis" rule was added to brand guidance. **Wes-task**: programmatic emoji-strip is risky (could leave empty bullets/headers). Better as editorial review. **Cron:** every hour at :35 ## Ship 2: audit-cross-surface-tagline.py - 26th audit class Built audit-cross-surface-tagline.py (~110 lines). For each product with a canonical tagline in adoptability.json, verifies the SAME tagline appears on /pricing/, /vs/, /how-it-works/, /sales-kit/ surfaces. Skips /faq/, /case-studies/, /feedback/ which use generic surface-specific lede copy. **HTML-entity aware**: uses `html.unescape()` before comparison so `Know who's leaving` (canonical) matches `Know who's leaving` (rendered). **Initial false positive**: 7 products flagged for "drift" until I added html-unescape. After fix: **246/246 clean.** This validates that the surface generators (pricing, vs, how-it-works, sales-kit) all consistently pull the tagline from adoptability.json. Combined with iter 124-126 brand-name consistency work, the product's core text identity is durable across all 4 sales-flow surfaces. **Cron:** every hour at :37 ## /quality-report/ wired - 2 new cards + invariants #33-34 Patched regen-quality-report.py: - New helpers `latest_emoji_presence()` + `latest_cross_surface_tagline()` - New cards: "Emoji-free copy 2719/2738 (warn: 19 files with emojis)" + "Tagline consistency 246/246 (all surfaces show canonical tagline)" - 2 new audit-table rows + invariants #33-34 **Live-check card count: 26 -> 28.** Total content invariants: 32 -> 34. ## The 26 audit suites at iter 130 | 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 | | 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 | | **audit-emoji-presence.py** | **every hour** | **2719/2738 (NEW)** | | **audit-cross-surface-tagline.py** | **every hour** | **246/246 (NEW)** | | em-dash-sweep.py | every 15 min | running | ## Health hygiene - audit-emoji-presence: 19 build pages in warn (Wes-task) - audit-cross-surface-tagline: 246/246 clean (validates 4-surface generator consistency) ## Status snapshot - 246 scored products + 2 partial builds - 26 audit systems (17 per-surface + 9 cross-cutting) - 0 fake-proof findings; 47 in warn (19 emoji + 4 thin descriptions + 16 pricing + 8 case-studies) - 247 brand briefs with valid archetype - brand_name_helper.py honored by 10 generators + 1 injector - 34 content invariants defended - /quality-report/ surfaces **28 live-check cards** (0 FAIL, 4 warn, 24 ok) - 77/77 health endpoints, 158+ cron jobs - 60 min cadence active ## Iter 130 throughput note 2 substantive ships at 60-min cadence. Emoji audit caught real brand-voice drift (19 pages predating the no-emojis rule). Tagline audit confirms generators are consistent — together they verify the catalog's text identity (name, tagline, voice) is durable across all sales-flow surfaces. ## Running queue (top 5 for iter 131) 1. **Wes-task: 19 emoji-bearing build pages** + 16 pricing + 4 thin descriptions + 8 case-studies fabrications 2. **audit-link-rot** - check that all `link` rel=preconnect/stylesheet endpoints respond (font CDNs, etc) 3. **audit-html-validity** - basic well-formedness check (unclosed tags, mismatched quotes) 4. **audit-page-load-size** - flag /builds// pages > some KB threshold 5. **audit-aria-roles** - accessibility role coverage ## Cumulative iter 1-130 - **Catalog**: 246 scored + 2 partial, 246 with index.html - **Content library**: 12 essays + Read-next + 273 OG PNGs + 130 styled ship-log pages - **High-trust pages**: 8 foundational + 5 transparency surfaces + 1 split-brain detail - **Audit infrastructure**: **26 audit systems** (17 per-surface + 9 cross-cutting: cross-surface-name, jsonld, meta-tags, internal-links, image-alt, image-src, twitter-card, emoji-presence, cross-surface-tagline) - **Source durability**: 32+ generators + 10 honor brand brief via shared helper + 23 JSON snapshots + 158+ cron jobs - **Content invariants**: **34 defended** at surface+source AND publicly surfaced After 130 iters, the audit suite covers: per-product content (17 surfaces), structured data (JSON-LD), SEO meta (canonical + 5 og + 4 twitter + meta description), navigation (internal links), embedded assets (img alt + img src), brand identity (name + tagline across surfaces), and now brand voice (no emojis). The buyer's structural experience is verifiably consistent on 9 distinct dimensions.