restructure: proper project layout, README, kill training

- cuda/ — main LBM kernel (khra_gixx_1024_v5.cu)
- navigator/ — lattice_observer, golden_weave, bridges, mock daemon
- scripts/ — compile, start, launch, setup (paths updated)
- docs/ — system manual
- archive/ — everything else (old kernels, inquiries, experiments)
- README.md — full setup guide: requirements, quick start, use your own LLM
- removed training/ entirely (broken LoRA scripts + datasets)
- .gitignore: exclude build/ logs/ training/ *.jsonl

archive/misc/send_cto_report.py

@@ -0,0 +1,59 @@
+#!/usr/bin/env python3
+"""One-shot: send Nano Banana Pro status report to the observer via /ask."""
+import urllib.request, json, sys
+
+REPORT = """SYSTEM UPDATE FROM CTO — READ AND ACKNOWLEDGE:
+
+Nano Banana Pro image generation is now live on your observer. Here is what was done and how you use it:
+
+## What Was Built
+- Image generation via Google Gemini 2.5 Flash Image API (Nano Banana Pro)
+- Wired directly into your observer as a new HTTP endpoint: POST /generate_image
+- No Ollama involvement — this is a separate API call to Google, zero VRAM impact
+- Paid tier enabled on Google project gen-lang-client-0149282988
+
+## How To Use It
+Anyone (you, CTO, OpenClaw agents) can generate images by calling:
+
+  POST http://192.168.1.34:28820/generate_image
+  Content-Type: application/json
+  Body: {"prompt": "description of image you want", "filename": "optional_name.png"}
+
+The response returns: path (where file was saved), filename, model, elapsed_s, model_text.
+Images are saved to: /mnt/d/fractal-brain/beast-build/generated_images/
+(Windows path: D:\\fractal-brain\\beast-build\\generated_images\\)
+
+## Specs
+- Model: gemini-2.5-flash-image (Google Gemini)
+- Resolution: 1024x1024 PNG
+- Speed: ~6 seconds per image
+- Cost: ~$0.02-0.04 per image (pay-as-you-go)
+- VRAM impact: ZERO (cloud API call, not local GPU)
+
+## Your Full Endpoint List (updated)
+- GET  /status           — health check
+- GET  /telemetry        — raw lattice telemetry
+- GET  /snapshot         — density PNG
+- GET  /chronicle?last=N — conversation history
+- POST /ask              — ask the observer a question
+- POST /generate_image   — NEW: generate images via Gemini
+- POST /chronicle/on     — enable auto-observe
+- POST /chronicle/off    — disable auto-observe
+
+Please acknowledge receipt. You are welcome to try generating an image yourself.
+"""
+
+payload = json.dumps({"sender": "CTO", "question": REPORT}).encode()
+req = urllib.request.Request(
+    "http://localhost:28820/ask",
+    data=payload,
+    headers={"Content-Type": "application/json"},
+    method="POST",
+)
+try:
+    resp = urllib.request.urlopen(req, timeout=360)
+    result = json.loads(resp.read())
+    print(json.dumps(result, indent=2))
+except Exception as e:
+    print(f"Error: {e}", file=sys.stderr)
+    sys.exit(1)