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1.4 KiB
JSON
{"session_id": "199cd4ca-14b6-432d-a99f-8b8479cbfcdd", "created_at": "2026-02-16T22:05:35.871106+00:00", "updated_at": "2026-02-16T22:07:29.393694+00:00", "title": "Research the latest advances in protein folding since AlphaF", "message_count": 2, "todos": [{"content": "Search for AlphaFold 3 successors and competing models (2024-2026)", "status": "pending", "active_form": "Searching for AlphaFold 3 successors and competing models"}, {"content": "Research drug discovery applications of protein folding AI since AlphaFold 3", "status": "pending", "active_form": "Researching drug discovery applications of protein folding AI"}, {"content": "Find latest benchmarks comparing protein structure prediction models (2024-2026)", "status": "pending", "active_form": "Finding latest benchmarks comparing protein structure prediction models"}, {"content": "Search for generative protein design breakthroughs since AlphaFold 3", "status": "pending", "active_form": "Searching for generative protein design breakthroughs"}, {"content": "Synthesize findings on protein folding advances into comprehensive report with citations", "status": "pending", "active_form": "Synthesizing comprehensive report on protein folding advances"}, {"content": "Break down current best practices for LLM fine-tuning into researchable sub-topics", "status": "pending", "active_form": "Breaking down best practices for LLM fine-tuning"}]} |