C:\Users\wenyu\AppData\Roaming\Python\Python314\site-packages\requests\__init__.py:113: RequestsDependencyWarning: urllib3 (2.6.3) or chardet (7.4.3)/charset_normalizer (3.4.4) doesn't match a supported version!
  warnings.warn(
semantic-scholar rate-limited (HTTP 429); backend returned 0 results. Consider requesting an API key at https://www.semanticscholar.org/product/api#api-key-form or using --backend-trace to see the silent-drop.
[OK] cluster        created: baseline-perf-v072
[OK] zotero.bind    reused existing collection JKZPKTST for baseline-perf-v072
[OK] search         30 results
[OK] ingest         23 papers in raw/baseline-perf-v072/

============================================================
Done in 50.3s. Cluster: baseline-perf-v072
============================================================

Next steps (copy-paste any of these):

  # See your new cluster in the live dashboard
  research-hub serve --dashboard

  # Generate cached AI answers (~10 Q&As, ~1 KB each)
  research-hub crystal emit  --cluster baseline-perf-v072 > /tmp/cprompt.md
  # paste /tmp/cprompt.md into Claude/GPT/Gemini, save response as crystals.json
  research-hub crystal apply --cluster baseline-perf-v072 --scored crystals.json

  # Or auto-pipe through a detected LLM CLI:
  research-hub auto "baseline-perf-v072" --with-crystals  # if claude/codex/gemini on PATH

  # Ad-hoc Q&A against the uploaded notebook
  research-hub ask baseline-perf-v072 "what are the 3 main research threads?"

  # Talk to Claude Desktop instead (with research-hub MCP installed)
  > "Claude, what's in my baseline-perf-v072 cluster?"  # calls read_crystal()

