{
  "analysis": "Most frames have only 3-5 changes, but some have 280-330 changes. The average is about 104 changes. With cursor positioning (6 bytes for ESC[r;cH) plus content plus delimiter, I need to be efficient. Let me look at the spatial pattern of changes.",
  "plan": "Analyze where changes occur spatially - are they in contiguous runs that can be output efficiently? Also look at the larger-change frames to understand their pattern.",
  "commands": [
    {
      "keystrokes": "python3 -c \"\nimport struct\nwith open('/app/frames.tza', 'rb') as f:\n    f.read(4)  # magic\n    w, h = struct.unpack('<HH', f.read(4))\n    n_frames, max_bytes = struct.unpack('<II', f.read(8))\n    \n    frames = []\n    for i in range(n_frames):\n        frame_data = f.read(w*h)\n        frames.append(frame_data)\n    \n    # Analyze a frame with many changes (frame 3->4 has 321 changes)\n    prev, curr = frames[3], frames[4]\n    changes = []\n    for j in range(w*h):\n        if prev[j] != curr[j]:\n            row = j // w\n            col = j % w\n            changes.append((row, col, prev[j], curr[j]))\n    \n    print(f'Frame 3->4: {len(changes)} changes')\n    # Group by row\n    by_row = {}\n    for r, c, old, new in changes:\n        by_row.setdefault(r, []).append((c, old, new))\n    for r in sorted(by_row.keys()):\n        cols = sorted(by_row[r])\n        print(f'  Row {r}: cols {[c for c,_,_ in cols]}')\n\"\n",
      "duration": 1.0
    }
  ]
}