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workspace/memory/2026-02-14.md

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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