Rene Fichtmueller
fea0b0fb66
feat: blog engine v5 — Auto-Kill Layer, 16-step pipeline, longer content
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Upgrades FO Blog Pipeline from 14 to 16 steps:
- NEW Step 8d: Auto-Kill Layer v1.0 (10 systematic categories A-J)
- NEW Step 15: Auto-Kill Scoring (cleanliness, narrative, non-AI, relevance)
- Updated banned phrases from Gold-standard editorial feedback
- Soft Delete List for conditional phrases
- Auto-Kill categories: spec blocks, formulas, section leakage,
generic transitions, repeated concepts, SKU mentions, false authority,
over-explained basics, whitepaper tone, fake precision
Content length changes per user feedback:
- Blog target: 1,200-2,000 words (was 700-1,000) — thorough and detailed
- LinkedIn target: 2,000-2,800 chars (was 350-600) — use maximum length
- Reduction pass: 25-30% cut (was 15-25%) — remove weak, keep depth
2026-04-04 11:02:45 +02:00
Rene Fichtmueller
ede4f5b966
feat: blog engine v3 — 8-stage pipeline with Auto-Kill Layer
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Complete rewrite of blog prompts and pipeline based on editorial
Gold-standard feedback. Replaces 3-pass system with 8-stage pipeline:
1. Master generation (narrative voice, no spec dumps)
2. Narrative Control (kill visible structure, enforce flow)
3. Auto-Kill Layer (remove AI phrases, spec residue, repetition)
4. Reduction Engine (cut 40% — keep strongest ideas only)
5. Depth pass (add specifics where vague, no spec dumps)
6. Quality Control (hard delete list validation)
7. Procurement layer (optional, sales audience)
8. LinkedIn post generation (new)
Key changes:
- System prompt rewritten with Hard Delete List (29 banned phrases)
- Soft Delete List for conditional phrases
- Auto-Kill categories A-J (spec blocks, formulas, whitepaper tone, etc.)
- Master prompts enforce continuous narrative, no section headings
- Word count targets reduced (800-1200 instead of 1500+)
- Scoring pass added (cleanliness, narrative, non-AI feel, relevance)
- LinkedIn companion post auto-generated
- Context data injection reduced (fewer items, no dump instructions)
2026-04-04 10:52:31 +02:00
Rene Fichtmueller
814325b349
feat: dashboard v2, blog expansion, market/cable MCP tools, switch asset scrapers, scraper utilities
2026-03-30 08:07:12 +02:00
Rene Fichtmueller
70447def02
feat: massive scraper expansion + hype cycle engine + lifecycle prediction
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New scrapers:
- GBICS.com (BigCommerce, GBP prices, 10 categories, 78 products)
- Juniper HCT (Next.js SSR parser, 475 transceivers with specs/EOL)
- SFPcables.com (Magento store, 16 categories, 78 products)
- Fluxlight (BigCommerce, 6 pages, 118 products)
- Champion ONE (compatible vendor scraper)
Scraper fixes:
- 10Gtek: rewritten to parse HTML spec tables (152 products)
- Flexoptix: fix price extraction from Magento Hyva HTML
- Register all scrapers in CLI (--gbics, --juniper, --sfpcables, etc.)
Hype Cycle Engine enhancements:
- Data-driven enrichment from scraped vendor/price data
- Revenue lifecycle prediction (peak year, decline, revenue index)
- Regional adoption model (NA, China, APAC, Europe, RoW with lag coefficients)
- New API endpoints: /enriched, /lifecycle, /regional/:tech
DB growth: 89 → 1,168 transceivers, 0 → 416 prices, 6 vendors
Qdrant: 1,162 products embedded with nomic-embed-text
Research: Norton-Bass model, standards-to-market timelines, hype signals
2026-03-28 02:30:19 +13:00
Rene Fichtmueller
274b80a4f1
feat: Phase 7 — Blog generator + scraper scheduler activation
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Blog draft engine generates structured markdown from all Qdrant
collections (products, news, FAQ, troubleshooting). Supports 4
topic types: hype_cycle, comparison, new_product, tutorial.
- routes/blog.ts: POST /api/blog/generate, GET/PUT endpoints
- ecosystem.config.js: Added tip-scraper PM2 process
- Scraper scheduler (pg-boss) now running on Erik with 8 job queues
- News scraper running every 6 hours on Erik
2026-03-28 00:32:08 +13:00
