data/sample_trace.jsonl

{"app": "hackathon-advisor", "generated_at": "2026-06-07T11:52:22+00:00", "idea_count": 2, "index": {"algorithm": "llama-cpp-embedding-v1", "index_generated_at": "2026-06-07T11:52:16+00:00", "snapshot_digest": "a442d8146fa01965567a27e43d42587de7048b93352e016151a524d2ecbf2034", "snapshot_generated_at": "2026-06-07T11:51:09+00:00"}, "schema_version": 1, "turn_count": 3, "type": "trace_manifest"}
{"artifact_title": "A local-first archive cartographer for family photos", "input": "A local-first archive cartographer for family photos", "overall": 4.6, "plan_steps": 0, "response": "The ink bleeds around A local-first archive cartographer for family photos. Closest echoes: page 67: Mini Fam; page 38: Family Bill Assistant; page 84: PawMap. The seal reads ECHO x4 at 4.6/10. Keep the audience, but change the mechanism or artifact so the demo proves a gap instead of joining a cluster.", "schema_version": 1, "tool_resolution": {"call": {"arguments": {"pitch": "A local-first archive cartographer for family photos", "title": "A local-first archive cartographer for family photos"}, "name": "save_idea"}, "errors": [], "status": "valid"}, "tools": [{"name": "save_idea", "summary": "Wrote idea page 'A local-first archive cartographer for family photos'."}, {"name": "search_projects", "summary": "Checked 5 closest project echoes."}, {"name": "score_idea", "summary": "Pressed a five-quadrant seal: 4.6/10."}], "turn_index": 1, "type": "agent_turn", "verdict": "ECHO x4"}
{"artifact_title": "Hands-on science coach", "input": "write bolder and find whitespace", "overall": 4.0, "plan_steps": 0, "response": "Gold gathers on Hands-on science coach. A lab-notebook companion that designs safe experiments from household materials. Nearest echoes are weak: Storybook, Yui Home Assisstant. The seal reads ECHO x4 at 4.0/10. The next move is to make one concrete before/after scene and cite the two weakest nearby echoes in the margin.", "schema_version": 1, "tool_resolution": {"call": {"arguments": {}, "name": "find_whitespace"}, "errors": [], "status": "valid"}, "tools": [{"name": "find_whitespace", "summary": "Ranked 4 under-explored regions."}, {"name": "save_idea", "summary": "Wrote idea page 'Hands-on science coach'."}, {"name": "score_idea", "summary": "Pressed a five-quadrant seal: 4.0/10."}], "turn_index": 2, "type": "agent_turn", "verdict": "ECHO x4"}
{"artifact_title": "Hands-on science coach", "input": "make a build plan", "overall": 4.0, "plan_steps": 6, "response": "The wax seal for Hands-on science coach reads 4.0/10, ECHO x4. The build path is: 1. Lock a one-sentence promise and one test input that proves what is different. 2. Compare against the nearest echoes, then sharpen the part only this idea can own. 3. Build the smallest happy path: input, nearby project citations, score, and one shareable output. 4. Add one selected-goal feature only after the core loop is smooth enough to explain without narration. 5. Collect successful advisor examples before training a tiny LoRA. 6. Write build notes from the exact decisions, screenshots, and outputs.", "schema_version": 1, "tool_resolution": {"call": {"arguments": {}, "name": "make_plan"}, "errors": [], "status": "valid"}, "tools": [{"name": "score_idea", "summary": "Pressed a five-quadrant seal: 4.0/10."}, {"name": "make_plan", "summary": "Drafted 6 build steps."}], "turn_index": 3, "type": "agent_turn", "verdict": "ECHO x4"}