docs: BlogLLM corpus expansion deployment & continuous evolution plan
End-to-end deployment record for the 127→227 article corpus expansion: - Gitea push (transceiver-db@f311e08) - Magatama pool reconciliation (magatama@0e42de9) - Erik sync via scp - RunPod training trigger (job 0141303c, lane fo_blogllm, 500 iters) Documents the continuous evolution plan (per-article + quarterly refresh) and quality gates going forward.
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# BlogLLM Corpus Expansion — Deployment & Continuous Evolution
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Date: 2026-05-12 UTC
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Author: Codex (autonomous deployment)
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Status: ✅ Deployed end-to-end
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## Summary
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Expanded BlogLLM training corpus from 100 → 227 articles spanning 18 phases.
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Reconciled into Magatama training pools and triggered RunPod LoRA training.
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## Deployment Chain (all completed)
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1. ✅ **Source authoring** — 121 new articles written to
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`/Users/renefichtmueller/Desktop/Claude Code/github-repos/transceiver-db/blog-training-data/`
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(blog-108 through blog-228)
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2. ✅ **Gitea push** — transceiver-db @ commit `f311e08`
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- `git push origin main` → http://192.168.178.196:3000/rene/transceiver-db.git
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- Pre-commit security scan: clean (after sanitizing dummy creds in blog-106)
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- NOT pushed to GitHub (training data is internal-only, per Gitea-first policy)
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3. ✅ **Magatama pool reconciliation** — via `pnpm blog:pools:prepare`
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- Source articles processed: 227
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- fo_blogllm: +204 train / +23 valid (blog-reference-corpus-2026-05-15)
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- pulso_llm: +204 train / +23 valid (blog-technical-background-2026-05-15)
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- tip_llm: +204 train / +23 valid (blog-verification-candidates-2026-05-15)
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4. ✅ **RunPod dataset rebuild** — via `pnpm learning-pool:runpod-dataset`
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- fo_blogllm aggregate: 19,558 total examples
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- Post-dedupe: 1,834 train / 204 eval (1,375 duplicates removed)
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- Path sanitization: source_file metadata uses $REPO_ROOT/ token
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5. ✅ **Magatama commit** — magatama @ commit `0e42de9`
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- Pushed to https://gitea.context-x.org/rene/magatama.git
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- Pre-commit hook passed (after global path sanitization)
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6. ✅ **Erik sync** — scp transfer of all 5 fo_blogllm files to
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`/opt/magatama/training-data/gitea-learning-pool/fo_blogllm/` and
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`/opt/magatama/training-data/runpod/fo_blogllm/`
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7. ✅ **RunPod training trigger** — via `trigger_lane_training_once.py fo_blogllm 500 false`
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- RunPod Job ID: `0141303c-0661-467f-a014-ddaa4b69811f-e1`
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- Lane: fo_blogllm
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- Iterations: 500
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- Base model: Qwen/Qwen2.5-Coder-7B-Instruct
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- Dataset: URL-based MAGATAMA bundle (no external HF publish needed)
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- Log: `/opt/magatama/logs/runpod-fo_blogllm-corpus-expansion-20260512T213459Z.log`
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## Corpus Composition (227 articles, ~700K words)
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### Phase 1–10: Domain Mastery (79 articles, blog-102 to blog-180)
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Optical networking technical foundation — diagnostics, transceiver validation,
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DWDM strategy, vendor analysis, vertical markets (FinTech, healthcare,
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government, manufacturing, telco, CDN), infrastructure planning, OSI/security
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layers, manufacturer landscape, practical building methodology.
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### Phase 11–18: Content Engineering (48 articles, blog-181 to blog-228)
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Content marketing science layer — neurolinguistic persuasion, blog writing
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research, hook engineering, visual design, B2B decision psychology, A/B
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testing, email/social distribution, content repurposing, editorial operations,
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AI prompt engineering, advanced SEO, brand voice, case studies, newsletter
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strategy, analytics, analyst relations, webinars, sales enablement, video/
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podcast, executive personal brand, customer advocacy, product launches,
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crisis comms, internationalization, communities, ABM, marketing automation,
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employee advocacy, interactive content, original research, press relations,
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recruiting, AI ethics, partnerships, sustainable practice, governance,
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investor relations, multi-touch attribution, team development, generative AI
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future, privacy, accessibility, emerging platforms, business model economics.
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## Sanitization Actions Applied
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1. **blog-106 code samples** — replaced `username="apiuser", password="apipass"`
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pattern with env-based `load_credentials_from_env()` helper. Removes
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`password=` literal that triggered secrets scanners.
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2. **JSONL metadata paths** — replaced absolute `/Users/renefichtmueller/Desktop/Claude Code/`
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prefix in `source_file` fields with `$REPO_ROOT/` token. Affected 12 files,
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239 path occurrences. Improves portability and clears private-data scans.
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## Lane Strategy
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| Lane | Role | Source Content | Use |
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|------|------|----------------|-----|
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| fo_blogllm | Primary blog writer | Full article body as assistant turn | Publication-ready output |
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| pulso_llm | Customer-facing solution engineering | Technical background (filtered) | Stable reference, never live truth |
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| tip_llm | Research/data prep | Verification candidates with evidence/gap framing | Crawler/parser support |
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## Continuous Evolution Plan
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### Per-Article Update Loop
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1. Add new article to `transceiver-db/blog-training-data/` with required frontmatter
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2. Run `pnpm blog:pools:prepare` (Magatama)
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3. Run `pnpm learning-pool:runpod-dataset`
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4. Commit, push both repos
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5. Sync delta to Erik
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6. Re-trigger training when N>50 new articles accumulated
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### Quarterly Refresh Cycle
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1. Bulk corpus audit — remove deprecated articles, refresh outdated stats
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2. Full pool rebuild
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3. RunPod training run with elevated iteration count (1000+)
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4. Smoke test via PulsoLLM/TIP_LLM consumer endpoints
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5. Adopt-or-rollback decision based on eval metrics
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### Quality Gates Going Forward
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- All new articles must have `training_data: true` frontmatter
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- quality_score ≥ 8 required for inclusion
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- No `/Users/`, IP literals, or hardcoded credentials (use placeholders)
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- Pre-commit security scan must pass on both transceiver-db and magatama
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- Path metadata must use $REPO_ROOT/ tokens
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### Success Verification (per Magatama 2026-05-09 rule)
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RunPod COMPLETED status alone is not success. Lane is successful when:
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- Model artifact exists in `/opt/magatama/training-data/model-registry/`
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- MAGATAMA imports/adopts the artifact locally
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- Smoke checks pass against the new alias
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- Active alias/version is updated in `model-registry/compiled/fo_blogllm.json`
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## Monitoring
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Check training progress:
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```bash
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ssh ssh.context-x.org "tail -f /opt/magatama/logs/runpod-fo_blogllm-corpus-expansion-20260512T213459Z.log"
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```
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Check RunPod job:
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```bash
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ssh ssh.context-x.org "curl -s -H \"Authorization: Bearer \$MAGATAMA_ADMIN_TOKEN\" http://127.0.0.1:3211/api/llm/runs?lane=fo_blogllm | tail -20"
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```
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Lane state:
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```bash
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curl -s -H "Authorization: Bearer $TOKEN" https://magatama.fichtmueller.org/api/llm/lanes
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```
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## Open Items (manual follow-up if needed)
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- [ ] Adopt new model artifact when RunPod completes (typically 1–4h depending on queue)
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- [ ] Update `fo_blogllm.json` model-registry/compiled alias to point to new version
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- [ ] Run smoke test: generate one blog post via new model, compare quality to v previous
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- [ ] If adopted: roll forward; if not: keep prior alias pinned
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---
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**End-to-end deployment complete: source → Gitea → Magatama pools → Erik → RunPod training in flight.**
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