114 lines
5.4 KiB
Markdown
114 lines
5.4 KiB
Markdown
# 2026-02-14 — Saturday
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## Session Summary
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- Pre-compaction flush from long session (94% context used)
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- Running on claude-opus-4-6 model
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## Key State
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- MoonDevOnYT video download was in progress (session "keen-daisy") — need to check status
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- Nexus still needs systemd service (dev server keeps dying)
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- All 5 D J research queue items completed (Foreclosures, Biz Acquisition, STR, LTR, Gov Contracting)
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- 23+ SPARK ideas generated, 3 rated BUY (AI Consulting, QA-as-a-Service, Legacy Migration)
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- 10+ ideas still unresearched by ARI
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## Cron Jobs Active
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- nexus-standup: every 2h (299438d4)
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- bravo-idle-check: every 30min (08887f86)
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- spark-idea-gen: every 3h (8db2a035)
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- kch123-monitor: every 1h (cd51b782)
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- PowerInfer check: weekly Mon 10am (2e00d71d)
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## D J's Telegram Chat ID
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- **6443752046** — confirmed from message delivery
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## MoonDevOnYT Analysis Completed
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- 18min video analyzing OpenClaw money-making use cases
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- Key resource: github.com/arosstale/awesome-openclaw-usecases (22 use cases)
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- MoonDev runs 6 Claude Code instances simultaneously across trading repos
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- Polymarket autopilot, multi-agent trading swarms, strategy sentinels
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- Sent full analysis to D J via Telegram
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## CSO Role Clarification (CRITICAL)
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- D J explicitly told me: **I am a thinker, planner, task assigner — NOT an executor**
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- I should NOT write code, run scripts, do deep research, or execute tasks myself
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- Everything goes to the team: Glitch builds, ARI researches, SPARK ideates, Jinx/Pixel QA
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- I stay free for D J at all times
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- Updated SOUL.md with this role definition
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- **Lesson learned:** Today I got stuck doing hands-on work (building scripts, polling downloads, debugging CUDA) when I should have delegated to Glitch
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## MoonDevOnYT Video Analyses
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- First video (18min): OpenClaw use cases, awesome-openclaw-usecases repo (22 use cases), SPARK evaluated all 22
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- Second video (2hr): "40,000% ROI Bug" — clickbait backtest, but workflow worth replicating (TradingView indicator → Python backtest pipeline)
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## Video-to-Knowledge Pipeline
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- Built and deployed to llamacpp box (192.168.86.40)
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- Faster Whisper large-v3 on CUDA (RTX 3080 + RTX 3060)
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- SSH access as `case@192.168.86.40` (ed25519 key)
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- Whisper venv at ~/whisper-env, script at ~/skool-transcribe.py
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- LD_LIBRARY_PATH needs /usr/lib/ollama/cuda_v12 for CUDA 12 libs
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- NAS at 192.168.86.244, mounted at /mnt/nas on llamacpp (needs remount after restart)
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- NAS share path: 192.168.86.244:/mnt/user/uploads/Skool
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- **48 Skool course videos**, 41GB, 27 courses + community trainings
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- First pass: 34/48 completed, 14 failed on permissions (D J fixed, retry running)
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- ~49-70 seconds per video on GPU
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- RAG indexing skipped (Ollama was stopped for GPU access) — needs separate indexing pass
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- Output: .md + _transcript.json next to source videos on NAS
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## Build Queue (D J approved)
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1. 🔴 Video-to-Knowledge v3 (multi-source ingestor + agent generator) — TOP PRIORITY
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2. Polymarket Autopilot (with Kelly sizing module)
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3. Strategy Performance Sentinel
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4. n8n Workflow Orchestration
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5. Self-Healing Home Server
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6. Reddit Market Intel
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## Kelly Criterion Module
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- D J sent TWO Kelly posts in one session — clear signal to build this
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- Formula for Polymarket: f = (p - c) / (1 - c), use 1/4 Kelly default, 10% max position
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- Build into Polymarket Autopilot
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## D J's Telegram Chat ID
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- **6443752046** — confirmed, saved to standup cron delivery config
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## Chrome CDP Working
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- D J logged into X on VM Chrome
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- Launch with: google-chrome-stable --remote-debugging-port=9222 --user-data-dir=/tmp/chrome-debug --remote-allow-origins=*
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- Can scrape X tweets via CDP websocket on localhost:9222
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## Product Idea: AI Knowledge Base Builder
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- D J's idea: ingest videos/books/text → RAG database → optionally generate OpenClaw agent as "expert in the room"
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- Each project gets isolated ChromaDB collection
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- Optional Obsidian vault output
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- SPARK + ARI researching competitive landscape
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- D J wants ingestor fully ironed out before hiring education agent (Sage candidate)
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- Multi-tenant architecture noted for future SaaS potential but keeping in-house for now
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## D J Learning Interest
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- Wants to learn something but struggles with memorization/tests
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- Interested in Oxford method (Socratic tutoring: Read → Write → Defend → Refine)
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- Plans to hire education agent (Sage) once RAG ingestor is solid
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## Infrastructure Updates
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- llamacpp box: RTX 3080 (10GB) + RTX 3060 LHR (12GB), 32GB RAM, 12 cores
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- llama-server auto-restarts via systemd — must `systemctl stop llama-server` to free GPUs
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- Ollama also runs on the box — stop both for full GPU access
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- CUDA 13 installed but CTranslate2 needs CUDA 12 libs (from /usr/lib/ollama/cuda_v12/)
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## SPARK Stats
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- 50 ideas on the board now
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- Top rated: spark-049 Fractional CTO Office (8), spark-050 Documentation Factory (8)
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- D J said "I like all the work SPARK is doing"
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## Standup Fix
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- Cron delivery now configured with D J's chat ID — sends directly to Telegram
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- Standups must assign real work, not just report status
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## TODO
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- [ ] Retry 14 failed transcriptions (running now)
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- [ ] Build RAG indexing pass for completed transcripts (Ollama was offline)
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- [ ] Build Video-to-Knowledge v3 (multi-source + agent generator) — DELEGATE TO GLITCH
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- [ ] Create nexus.service systemd unit
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- [ ] Get ARI's Knowledge Builder competitive research report
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- [ ] Build Kelly sizing module into Polymarket Autopilot — DELEGATE TO GLITCH
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- [ ] Review spark-012 employment agreement blocker with D J
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