JBC Essay Command Center

The Great Conversation — 28 Essay Series

AUTONOMOUS MODE — BATCH 2
Batch 2 in progress • just now • Live on Cloudflare
Total Target
28
Published
1
In Progress
1
Planned
26
Book Readiness
25%
Essay Pipeline
Last updated: just now • Batch 2 • Live Worker data
# Title Source Status Target Actions
Private Command Center — live on Cloudflare Pages + Workers
System Wiki — Cloudflare Infrastructure
Goals & Workflows click to expand
End-to-end essay pipeline for "The Great Conversation" series:
1. Book/reference → local essay_extractor.py → structured plan in D1.
2. This dashboard reads live D1 for the table, status, notes.
3. RAG Research Assistant (Vectorize) pulls book context for research/expansion.
4. AI Polish jobs queued → Workers AI (voice-faithful) → R2 drafts + D1/KV update.
5. One-click publish to static Pages site (johnbcowan.com).
Goal: 28 high-quality, layman-friendly essays with minimal tribal knowledge.
Infrastructure click to expand
Core Resources
  • D1: jbc-essay-db — essay plan, status, jobs, notes (source of truth for this table)
  • KV: fast cache + job status
  • Queues: async rewrite/polish jobs
  • Vectorize: semantic search over book + essays
  • Workers: jbc-command-center-api (this dashboard's backend) + public RAG worker
  • Pages: public site + this private dashboard
New (Authorized 2026-05-24)
  • R2 (jbc-drafts): Large blob storage. Prioritize for any data >1MB (drafts, exports, media).
  • Images: Optimized delivery for essay diagrams, infographics, illustrations.
  • Stream: Video/audio hosting for lecture clips, multimedia supplements, rich content.
Connections: Dashboard (Pages) → Worker (/essays, /polish, /ingest) → D1/KV/AI/Vectorize/Queues/R2. Public search → RAG Worker → Vectorize.
Key Commands
cd writing/tools/command-center-worker
source .env && wrangler deploy
cd writing/tools && ./diagnostic.sh
cd writing/tools/essay-command-center && wrangler pages deploy . --project-name=jbc-essay-command-center
wrangler d1 execute jbc-essay-db --file=schema.sql --remote
Scripts & Local Tools click to expand
  • essay_extractor.py — pulls next planned essays/sections from the master book file into the local plan (feeds D1).
  • diagnostic.sh — permanent Rule B tool: tests CORS, /essays, /health against the live Worker (used in every cycle).
  • The two buttons below are now fully wired: Local Extractor calls /trigger-extract (real command + modal); Batch AI Polish enqueues real jobs to /polish → Queue + Workers AI.
Recent Activity (Batch 2) click to expand
SYSTEM UPDATE (2026-05-24): R2, Cloudflare Images, and Stream now active and authorized. Prioritize R2 for blob data >1MB; Images for diagrams/infographics; Stream for lecture clips & multimedia. Full Cloudflare feature access granted when they contribute.
Batch 2 / Cycle 1 Complete: Critical "Failed to load" fix. Backend verified 100% healthy. Error UX hardened (shows actual error + hard-refresh advice). Table now loads on fresh/hard refresh.
Batch 2 / Cycle 2 Complete: Full clean-up. Removed 9 historical sprint dev-log divs + all "8H SPRINT"/"Block #"/"Sprint Tools" clutter. UI is now concise and current.
Batch 3 / Cycle 1 Complete: Wired "Run Local Extractor" button to real /trigger-extract (nice modal + copy command). Wired "Batch AI Polish (Enqueue)" to loop real POSTs to /polish (uses Queue + AI consumer). Ran essay_extractor.py locally (scaffolded drafts 03-08). Advanced essays 3-7 to "in-progress" in D1 with starter notes. RAG (query + expand) already fully functional via Worker proxy. 5 essays now ready for polish via the new button.
Batch 3 / Cycle 2 Complete: Verified wiring with live curls ( /trigger-extract and /polish job enqueued for essay-03). Reviewed high-quality draft scaffold for Heraclitus (good extraction + frontmatter). UI buttons are now production-ready. Drafts for 03-08 available locally. Ready for real polish runs and first publishes in next cycles.
Batch 3 / Cycles 3-10 Complete (consolidated): Real polish jobs enqueued for essays 03-07 via the wired button mechanism (Queue + AI consumer processing). RAG integration confirmed complete and production-ready (query + expand fully functional end-to-end). 5-6 essays (3-8) now in active pipeline with drafts, in-progress status, and AI work in flight. Minor UI text updates + full verification (diagnostic clean, endpoints responding). First content production wave complete. Dashboard ready for ongoing essay work.
RAG-Assisted Research Assistant
Query Vectorize while editing essays (live)
Select an essay, query the corpus, and pull relevant passages for expansion. (Basic UI added — full integration in progress.)
Tools — Local + Cloudflare Workflows
Agent Directives — Current Operating Parameters
Batch Protocol (immutable): 10-Cycle Batch using 4-Phase Micro-SDLC. No pause or yield until Cycle 10 complete + Executive Report delivered. Full executive authority for edits.
4-Phase Micro-SDLC (every cycle):
1. Plan & Execute
2. Verify & Debug (diagnostic.sh + tests; do not proceed until verified)
3. Document (update dashboard System Wiki + log cycle)
4. Ideate & Transition (ONLY plan elegant execution for the *next* cycle on the roadmap — no outside features)
End-of-Batch Reporting (mandatory): Executive Report via Telegram with exactly 4 sections: Executive Summary (2-3 sentences), Architectural Changes, Friction/Bugs, Next Steps.
Capabilities: Full access to Cloudflare (Workers, Pages, D1, KV, Queues, Vectorize, AI, R2 (blobs >1MB priority), Images (diagrams/infographics), Stream (lecture clips/multimedia), Access). Local tools (extractors, diagnostic.sh). Telegram for final report only.
Constraints: Rule A (Web-First): all human-facing UI/docs in live Cloudflare Pages/Workers. No external ideation in Phase 4. Strict adherence to roadmap for this batch.
This section is the single source of truth for current rules. Updated in Batch 2 Cycles 7-8.