# 2026-02-14 — Saturday

## Session Summary
- Pre-compaction flush from long session (94% context used)
- Running on claude-opus-4-6 model

## Key State
- MoonDevOnYT video download was in progress (session "keen-daisy") — need to check status
- Nexus still needs systemd service (dev server keeps dying)
- All 5 D J research queue items completed (Foreclosures, Biz Acquisition, STR, LTR, Gov Contracting)
- 23+ SPARK ideas generated, 3 rated BUY (AI Consulting, QA-as-a-Service, Legacy Migration)
- 10+ ideas still unresearched by ARI

## Cron Jobs Active
- nexus-standup: every 2h (299438d4)
- bravo-idle-check: every 30min (08887f86)
- spark-idea-gen: every 3h (8db2a035)
- kch123-monitor: every 1h (cd51b782)
- PowerInfer check: weekly Mon 10am (2e00d71d)

## D J's Telegram Chat ID
- **6443752046** — confirmed from message delivery

## MoonDevOnYT Analysis Completed
- 18min video analyzing OpenClaw money-making use cases
- Key resource: github.com/arosstale/awesome-openclaw-usecases (22 use cases)
- MoonDev runs 6 Claude Code instances simultaneously across trading repos
- Polymarket autopilot, multi-agent trading swarms, strategy sentinels
- Sent full analysis to D J via Telegram

## CSO Role Clarification (CRITICAL)
- D J explicitly told me: **I am a thinker, planner, task assigner — NOT an executor**
- I should NOT write code, run scripts, do deep research, or execute tasks myself
- Everything goes to the team: Glitch builds, ARI researches, SPARK ideates, Jinx/Pixel QA
- I stay free for D J at all times
- Updated SOUL.md with this role definition
- **Lesson learned:** Today I got stuck doing hands-on work (building scripts, polling downloads, debugging CUDA) when I should have delegated to Glitch

## MoonDevOnYT Video Analyses
- First video (18min): OpenClaw use cases, awesome-openclaw-usecases repo (22 use cases), SPARK evaluated all 22
- Second video (2hr): "40,000% ROI Bug" — clickbait backtest, but workflow worth replicating (TradingView indicator → Python backtest pipeline)

## Video-to-Knowledge Pipeline
- Built and deployed to llamacpp box (192.168.86.40)
- Faster Whisper large-v3 on CUDA (RTX 3080 + RTX 3060)
- SSH access as `case@192.168.86.40` (ed25519 key)
- Whisper venv at ~/whisper-env, script at ~/skool-transcribe.py
- LD_LIBRARY_PATH needs /usr/lib/ollama/cuda_v12 for CUDA 12 libs
- NAS at 192.168.86.244, mounted at /mnt/nas on llamacpp (needs remount after restart)
- NAS share path: 192.168.86.244:/mnt/user/uploads/Skool
- **48 Skool course videos**, 41GB, 27 courses + community trainings
- First pass: 34/48 completed, 14 failed on permissions (D J fixed, retry running)
- ~49-70 seconds per video on GPU
- RAG indexing skipped (Ollama was stopped for GPU access) — needs separate indexing pass
- Output: .md + _transcript.json next to source videos on NAS

## Build Queue (D J approved)
1. 🔴 Video-to-Knowledge v3 (multi-source ingestor + agent generator) — TOP PRIORITY
2. Polymarket Autopilot (with Kelly sizing module)
3. Strategy Performance Sentinel
4. n8n Workflow Orchestration
5. Self-Healing Home Server
6. Reddit Market Intel

## Kelly Criterion Module
- D J sent TWO Kelly posts in one session — clear signal to build this
- Formula for Polymarket: f = (p - c) / (1 - c), use 1/4 Kelly default, 10% max position
- Build into Polymarket Autopilot

## D J's Telegram Chat ID
- **6443752046** — confirmed, saved to standup cron delivery config

## Chrome CDP Working
- D J logged into X on VM Chrome
- Launch with: google-chrome-stable --remote-debugging-port=9222 --user-data-dir=/tmp/chrome-debug --remote-allow-origins=*
- Can scrape X tweets via CDP websocket on localhost:9222

## Product Idea: AI Knowledge Base Builder
- D J's idea: ingest videos/books/text → RAG database → optionally generate OpenClaw agent as "expert in the room"
- Each project gets isolated ChromaDB collection
- Optional Obsidian vault output
- SPARK + ARI researching competitive landscape
- D J wants ingestor fully ironed out before hiring education agent (Sage candidate)
- Multi-tenant architecture noted for future SaaS potential but keeping in-house for now

## D J Learning Interest
- Wants to learn something but struggles with memorization/tests
- Interested in Oxford method (Socratic tutoring: Read → Write → Defend → Refine)
- Plans to hire education agent (Sage) once RAG ingestor is solid

## Infrastructure Updates
- llamacpp box: RTX 3080 (10GB) + RTX 3060 LHR (12GB), 32GB RAM, 12 cores
- llama-server auto-restarts via systemd — must `systemctl stop llama-server` to free GPUs
- Ollama also runs on the box — stop both for full GPU access
- CUDA 13 installed but CTranslate2 needs CUDA 12 libs (from /usr/lib/ollama/cuda_v12/)

## SPARK Stats
- 50 ideas on the board now
- Top rated: spark-049 Fractional CTO Office (8), spark-050 Documentation Factory (8)
- D J said "I like all the work SPARK is doing"

## Standup Fix
- Cron delivery now configured with D J's chat ID — sends directly to Telegram
- Standups must assign real work, not just report status

## TODO
- [ ] Retry 14 failed transcriptions (running now)
- [ ] Build RAG indexing pass for completed transcripts (Ollama was offline)
- [ ] Build Video-to-Knowledge v3 (multi-source + agent generator) — DELEGATE TO GLITCH
- [ ] Create nexus.service systemd unit
- [ ] Get ARI's Knowledge Builder competitive research report
- [ ] Build Kelly sizing module into Polymarket Autopilot — DELEGATE TO GLITCH
- [ ] Review spark-012 employment agreement blocker with D J