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Affirmology Session Notes - 2026-06-13 (overnight)

Updated Jun 13, 2026 · Affirmology_SessionNotes_2026-06-13_v1.md

Affirmology Session Notes - 2026-06-13 (overnight)

Session focus: switched corpus structuring from Gemini to Haiku, fixed a stale-path bug, installed Tailscale, locked the audio toolchain.

Morning: start here

1. Check the structuring run in Terminal. Look for the DONE structure-only run #... line with records= and cost=. If it's there, the corpus is structured.
2. Quick health query (paste in Terminal): bash sqlite3 /Volumes/Affirmology/corpus/corpus.db "SELECT tradition, COUNT(*) FROM record GROUP BY tradition ORDER BY 2 DESC;" Send the result. With the path fix, record counts should be far higher than last night's 152.
3. Sort disk space. We never ran df -h / /Volumes/Affirmology, do that first thing. Likely the internal Mac drive is tight, not the SSD.
4. Then resume the demo backend: wire the Cloudflare Worker to this laptop over Tailscale.

What got done tonight

• Haiku structurer built and shipped. Added an Anthropic/Haiku backend to structurer.py, a real structure-only mode in run.py, and a documents_needing_structuring() query in db.py. Default backend is now anthropic. This removes the Google Cloud / Gemini billing blocker entirely.
• Stale-path bug found and fixed. The corpus DB stored extracted_path values pointing at an old sandbox mount (/sessions/stoic-gracious-turing/mnt/Affirmology/...) that does not exist on the Mac. The structurer could not open those files, so most docs yielded zero records. Added _resolve_extracted_path() in run.py that auto-rebases stale paths onto the real SSD location (/Volumes/Affirmology/corpus/...). Verified with a unit test and against the real Cheiro's Book of Numbers file (318 KB, confirmed present).
• Overnight run launched with the fix live, resumable, budget-capped at $27. About 900 docs remained at launch.
• Tailscale installed and connected. Machine name macbook-pro-2, Tailscale IP 100.98.80.60. This IP is what the Cloudflare Worker's MAC_MINI_URL will point at.

Cost facts

• Anthropic API credit balance was $29 at start of run. Full structuring estimated $5 to $7. Per-doc cost about $0.005.
• Haiku 4.5 rates: $1/M input, $5/M output. Max plan does NOT cover API use; this is prepaid Console credit.

Audio toolchain (locked, automated-first)

No manual audio skills required. The agent masters in code via FFmpeg.

• Install once: FFmpeg (brew install ffmpeg) plus pip install -e ".[audio]" (adds pedalboard + pyloudnorm; the [audio] extra was added to pyproject tonight).
• v3.1 mastering chain to wire in: voice → TDR Nova de-ess → Bricasti M7 reverb → FFmpeg sidechain duck → TDR Limiter → loudnorm to -16 LUFS.
• Optional no-skill subscription for Calm-grade polish: LANDR ($19/mo unlimited or $9.99/track), drag-and-drop, queue for later.
• Full list lives in Affirmology_AudioSetup_Checklist_v1.md.

Open threads

1. Demo backend: run server/api.py via uvicorn with tailscale cert, set Worker MAC_MINI_URL to 100.98.80.60 (or the macbook-pro-2.tailXXXX.ts.net MagicDNS name), set Worker secrets, deploy, test end-to-end.
2. Corpus cleanup pass: dedup identical interpretation_text (the three Saturn_in_Capricorn/Aquarius/Pisces shared one block), drop low-confidence boilerplate. Cheap.
3. Disk space management on the Mac internal drive.
4. Mac mini still paused on the USB hub replacement.
5. Transit tradition still at 0 docs (targeted scrape pending).

Why the terminal work is on Jeff, not the agent

The agent's sandbox is a separate cloud Linux box that cannot see the SSD or hold the API key, and the screen-control layer locks Terminal to click-only for safety. So SSD-touching, credit-spending commands run on the Mac and get pasted by hand. The Mac mini is meant to end this by running the agent on a schedule.