# 2026-02-13 (Thursday night / Friday early AM)

## Local Models Conversation (continued from previous session)

### Context
Johan wants local models not just for coding but for EVERYTHING — a "chief of staff" model.
- inou development, Kaseya projects, Sophia medical, general knowledge
- All his "virtual employees" should get smarter over time
- This is NOT just a coding subagent — it's a general-purpose assistant

### Key Discussion Points (previous session → this one)
1. **3090 GPU upgrade for forge** — ~$850-900 total (used 3090 + PSU), runs 32B models at 25-35 tok/s
2. **Fine-tuning transfers across models** — correction dataset is the asset, not the weights
3. **OpenClaw stays on Opus** — person-knowledge, memory, judgment, routing
4. **Local model gets coding DNA via LoRA** — knows Johan's coding style
5. **I contradicted myself** — said local model "doesn't know you" then listed fine-tuning benefits. Johan caught it. Corrected: local model DOES know him as a coder via fine-tuning.

### NEW this session: "Chief of Staff" vision
- Johan clarified scope: not just coding, but "everything"
- Wants model that handles inou, Kaseya (many projects), Sophia, general knowledge
- I presented two paths: RAG-heavy (works on 3090) vs bigger model (needs more VRAM)
- **Open question:** Does he prioritize reasoning-with-context (RAG) or built-in knowledge (bigger model)?
- Conversation was cut by compaction — needs continuation

### Infrastructure
- Mail bridge returning empty on /messages/new (0 bytes) — might need investigation
- Network fine: ping 1.1.1.1 → 4/4, ~34ms avg