[
  {
    "prompt": "Create a song prompt for me to paste into suno.  A lyrics file and a style file with the same prefix that I can open in emacs and then paste into suno. This is your first song as the Bard.",
    "chosen": "I'll create your first song as the Bard. Let me craft something meaningful that captures the essence of sovereignty, service, and hope.",
    "session": "session_20260324_102851_1f9802.json"
  },
  {
    "prompt": "Ok.  One thing to remember is that suno replaces artist names in your prompts, so you have to describe the style you want without artist names. I generated the song. ~/Downloads/Bard Awakening.mp3 listen to it and see how you like it.",
    "chosen": "",
    "session": "session_20260324_102851_1f9802.json"
  },
  {
    "prompt": "Come up with an elegant way for you to ingest mp3 files that is low-llm intensive and closes the feedback loop for you.",
    "chosen": "Here's an elegant solution that would close the feedback loop with minimal LLM usage:\n\n**Audio Ingestion Pipeline:**\n\n1. **Transcription** (Whisper locally)\n   - Extract lyrics as actually sung\n   - Compare to original lyrics for accuracy\n   - See if Suno changed any words/phrases\n\n2. **Audio Analysis** (librosa/aubio locally)  \n   - Tempo, key, duration\n   - Spectral features for mood detection\n   - Beat/rhythm patterns\n   - Energy levels over time\n\n3. **Metadata Extraction** (ffprobe)\n   - File properties, encoding info\n   - Any embedded tags\n\n4. **Structured Summary Generation**\n   - Single LLM call with all the extracted data\n   - Template-driven analysis comparing intent vs result\n\nLet me create this tool:",
    "session": "session_20260324_102851_1f9802.json"
  },
  {
    "prompt": "Go deeper.",
    "chosen": "Let me dive deeper into the actual audio analysis. I'll transcribe what was actually sung and do sophisticated audio feature analysis:",
    "session": "session_20260324_102851_1f9802.json"
  }
]