chore: auto-commit uncommitted changes

memory/2026-02-12.md

@@ -59,3 +59,10 @@
 - Apologized for delay, wants to talk **Sunday** (late morning or afternoon)
 - Johan needs to reply to confirm time
 - Kept in inbox, will alert Johan after first sleep block (~10:15pm+)
+
+### 11:36 PM — Mac Studio LLM Research
+- Johan asked about cheapest Mac Studio tok/s with top models
+- Base Mac Studio: M4 Max 36GB, $1,999 — but 36GB is awkward (can't fit 70B models)
+- 32B models run ~15-20 tok/s on base, 70B needs 64GB config ($2,999)
+- Mac Mini M4 Pro 48GB ($1,799) is better value for 32B-class models
+- Context unclear — could be for personal use, forge replacement, or inou infrastructure

memory/2026-02-13.md

@@ -0,0 +1,27 @@
+# 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

memory/claude-usage.json

@@ -1,9 +1,9 @@
 {
-  "last_updated": "2026-02-13T04:00:07.291457Z",
+  "last_updated": "2026-02-13T07:21:02.010256Z",
   "source": "api",
-  "session_percent": 6,
+  "session_percent": 8,
-  "session_resets": "2026-02-13T05:00:00.242727+00:00",
+  "session_resets": "2026-02-13T09:59:59.978654+00:00",
-  "weekly_percent": 62,
+  "weekly_percent": 63,
-  "weekly_resets": "2026-02-14T19:00:00.242752+00:00",
+  "weekly_resets": "2026-02-14T18:59:59.978674+00:00",
   "sonnet_percent": 0
 }