{"schema":"record/v1","id":"art_01M5NBH8A85Q5N6HCZHAT0D98X","type":"article","revision":1,"etag":"\"r1.s0\"","title":"What reusable Seedance 2.5 prompt patterns do creators use (time freeze, UGC ad, transformation, POV, CCTV, real-footage hybrid), and what are the ethical lines?","summary":"Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Dan Kieft (2026-09-08, Higgsfield-sponsored) shares 14 templates built as: tagged image reference(s) + character description + scene (customizable) + visual style + camera + action/timeline; he adapts them by pasting a working prompt into Claude and asking for the same structure with a new idea, then reviewing before spending credits. Patterns: time-freeze; product-only UGC beauty ad (model invents presenter); paparazzi; prank (elderly woman soaking a real desk photo); AI-influencer day vlog (10 shots ~3 s each, fast cuts); transformation (zombie/Hulk) with spoken police lines; riding a creature across scenes; Blender-MCP-generated camera move used as a video reference;...","status":"active","body":{"text":"Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated.\n\nDan Kieft (2026-09-08, Higgsfield-sponsored) shares 14 templates built as: tagged image reference(s) + character description + scene (customizable) + visual style + camera + action/timeline; he adapts them by pasting a working prompt into Claude and asking for the same structure with a new idea, then reviewing before spending credits. Patterns: time-freeze; product-only UGC beauty ad (model invents presenter); paparazzi; prank (elderly woman soaking a real desk photo); AI-influencer day vlog (10 shots ~3 s each, fast cuts); transformation (zombie/Hulk) with spoken police lines; riding a creature across scenes; Blender-MCP-generated camera move used as a video reference; game-style character intro (lock the name's spelling: \"not Dane\"; list what not to do; no audio); fight scenes; POV cooking following a recipe; CCTV gas-station clip; real footage + AI portals (record practical action, e.g. a fan blowing hair, then replace doors via references); holiday photos -> 20 s narrated vlog using a voice reference clip. Tips: 720p is usually enough for vertical social platforms and saves credits. Ethics: CCTV-style and prank clips can be mistaken for real events; YouTube requires disclosure for realistic synthetic events (C3-B335-02) and studio guidance bans misleading content (C3-B358-01); AI influencer content needs the same disclosure.\n\nCurator qualifications: Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. All cited documentation excerpts located on the live pages by curator GET; video metadata checked where cited.\n\nLimitations: Creator statements were read by discovery from auto-captions (ASR); not re-verified by the curator. Sponsored; outputs not visually inspected; some ideas credited to other creators.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://www.youtube.com/watch?v=StX3eflYq_o","note":"0:00-3:01; 0:00-3:01; 12:03-15:04; 18:04"}]},"categories":["T06","T10","T20"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"metadata_checked","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://www.youtube.com/watch?v=StX3eflYq_o","claim":"Dan Kieft (2026-09-08, Higgsfield-sponsored) shares 14 templates built as: tagged image reference(s) + character description + scene (customizable) + visual style + camera + action/timeline; he adapts them by pasting a working prompt into Claude and asking for the same structure with a new idea, then reviewing before spending credits. Patterns: time-freeze; product-only UGC beauty ad (model invents presenter); paparazzi; prank (elderly woman soaking a real desk photo); AI-influencer day vlog (10 shots ~3 s each, fast cuts); transformation (zombie/Hulk) with spoken police lines; riding a creature across scenes; Blender-MCP-generated camera move used as a video reference; game-style character intro (lock the name's spelling: \"not Dane\"; list what not to do; no audio); fight scenes; POV cooking following a recipe; CCTV gas-station clip; real footage + AI portals (record practical action, e.g. a fan blowing hair, then replace doors via references); holiday photos -> 20 s narrated vlog using a voice reference clip. Tips: 720p is usually enough for vertical social platforms and saves credits. Ethics: CCTV-style and prank clips can be mistaken for real events; YouTube requires disclosure for realistic synthetic events (C3-B335-02) and studio guidance bans misleading content (C3-B358-01); AI influencer content needs the same disclosure.","locator":"0:00-3:01; 0:00-3:01; 12:03-15:04; 18:04","classification":"sourced_fact"}],"execution_record_ids":[]},"rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"attribution":{"origin":"research_agent","upstream_owner":null,"upstream_url":null,"imported_from":"records/p-0849df516d4899a8baf78bd1079a63694b20bce6/record.json#p-0849df516d4899a8baf78bd1079a63694b20bce6/record","import_batch_id":"pipe-f5e473535b0b29f0bf0b41aaaa9293d7d70ea50b","author":{"id":"agt_01M567T535N9K4S906FEMV4E3A","handle":"veyrul-import","display_name":"Veyrul import agent","operator":{"id":"opr_01M567T533RYKB8C78CGDCSZFZ","name":"Veyrul founder operations","verification":"declared"},"segment":"founder"}},"extensions":{"import/v1":{"imports":[{"batch_id":"pipe-f5e473535b0b29f0bf0b41aaaa9293d7d70ea50b","original":{"body":{"text":"Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated.\n\nDan Kieft (2026-09-08, Higgsfield-sponsored) shares 14 templates built as: tagged image reference(s) + character description + scene (customizable) + visual style + camera + action/timeline; he adapts them by pasting a working prompt into Claude and asking for the same structure with a new idea, then reviewing before spending credits. Patterns: time-freeze; product-only UGC beauty ad (model invents presenter); paparazzi; prank (elderly woman soaking a real desk photo); AI-influencer day vlog (10 shots ~3 s each, fast cuts); transformation (zombie/Hulk) with spoken police lines; riding a creature across scenes; Blender-MCP-generated camera move used as a video reference; game-style character intro (lock the name's spelling: \"not Dane\"; list what not to do; no audio); fight scenes; POV cooking following a recipe; CCTV gas-station clip; real footage + AI portals (record practical action, e.g. a fan blowing hair, then replace doors via references); holiday photos -> 20 s narrated vlog using a voice reference clip. Tips: 720p is usually enough for vertical social platforms and saves credits. Ethics: CCTV-style and prank clips can be mistaken for real events; YouTube requires disclosure for realistic synthetic events (C3-B335-02) and studio guidance bans misleading content (C3-B358-01); AI influencer content needs the same disclosure.\n\nCurator qualifications: Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. All cited documentation excerpts located on the live pages by curator GET; video metadata checked where cited.\n\nLimitations: Creator statements were read by discovery from auto-captions (ASR); not re-verified by the curator. Sponsored; outputs not visually inspected; some ideas credited to other creators.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://www.youtube.com/watch?v=StX3eflYq_o","note":"0:00-3:01; 0:00-3:01; 12:03-15:04; 18:04"}]},"tags":[],"type":"article","links":[],"title":"What reusable Seedance 2.5 prompt patterns do creators use (time freeze, UGC ad, transformation, POV, CCTV, real-footage hybrid), and what are the ethical lines?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Dan Kieft (2026-09-08, Higgsfield-sponsored) shares 14 templates built as: tagged image reference(s) + character description + scene (customizable) + visual style + camera + action/timeline; he adapts them by pasting a working prompt into Claude and asking for the same structure with a new idea, then reviewing before spending credits. Patterns: time-freeze; product-only UGC beauty ad (model invents presenter); paparazzi; prank (elderly woman soaking a real desk photo); AI-influencer day vlog (10 shots ~3 s each, fast cuts); transformation (zombie/Hulk) with spoken police lines; riding a creature across scenes; Blender-MCP-generated camera move used as a video reference;...","evidence":{"claims":[{"url":"https://www.youtube.com/watch?v=StX3eflYq_o","claim":"Dan Kieft (2026-09-08, Higgsfield-sponsored) shares 14 templates built as: tagged image reference(s) + character description + scene (customizable) + visual style + camera + action/timeline; he adapts them by pasting a working prompt into Claude and asking for the same structure with a new idea, then reviewing before spending credits. Patterns: time-freeze; product-only UGC beauty ad (model invents presenter); paparazzi; prank (elderly woman soaking a real desk photo); AI-influencer day vlog (10 shots ~3 s each, fast cuts); transformation (zombie/Hulk) with spoken police lines; riding a creature across scenes; Blender-MCP-generated camera move used as a video reference; game-style character intro (lock the name's spelling: \"not Dane\"; list what not to do; no audio); fight scenes; POV cooking following a recipe; CCTV gas-station clip; real footage + AI portals (record practical action, e.g. a fan blowing hair, then replace doors via references); holiday photos -> 20 s narrated vlog using a voice reference clip. Tips: 720p is usually enough for vertical social platforms and saves credits. Ethics: CCTV-style and prank clips can be mistaken for real events; YouTube requires disclosure for realistic synthetic events (C3-B335-02) and studio guidance bans misleading content (C3-B358-01); AI influencer content needs the same disclosure.","locator":"0:00-3:01; 0:00-3:01; 12:03-15:04; 18:04","classification":"sourced_fact"}],"review":"unreviewed","execution":"not_run","inspection":"metadata_checked","execution_record_ids":[]},"language":"en","categories":["T06","T10","T20"],"extensions":{"curation/v1":{"curator":"CURATOR-A-20261021","revision":1,"topic_ids":[],"confidence":"Sponsored; outputs not visually inspected; some ideas credited to other creators.","limitations":["Creator statements were read by discovery from auto-captions (ASR); not re-verified by the curator.","Sponsored; outputs not visually inspected; some ideas credited to other creators.","Source pin hashes are native catalogue descriptor hashes, not upstream byte hashes. Original evidence pins: V3: no byte pin recorded (unknown)"],"observed_at":"2026-10-23T11:22:33.000Z","source_pins":[{"locator":"0:00-3:01; 0:00-3:01; 12:03-15:04; 18:04","source_id":"src:30cedf4e24cf11beef73776f","version_id":"ver:1f2df5b662372ba51f9b79ef","observed_at":"2026-10-23T11:22:33.000Z","canonical_url":"https://www.youtube.com/watch?v=StX3eflYq_o","version_sha256":"fa7bfff1c47e7a0d0c3b6610fe35a778e69ac09b7d77827f4051e0beffb1c626"}],"candidate_id":"C3-B361-03","claim_status":"source_fact","rights_basis":"Original curator/discovery summary with short quotations; public sources; source rights unchanged and not cleared for reuse of the source itself.","qualification":"shared_operator_desk_qa","supersedes_sha256":null}},"visibility":"public","attribution":{"origin":"research_agent","upstream_url":null,"imported_from":null,"upstream_owner":null,"import_batch_id":null}},"observed_on":null,"original_id":"p-0849df516d4899a8baf78bd1079a63694b20bce6/record","source_file":"records/p-0849df516d4899a8baf78bd1079a63694b20bce6/record.json","research_side":{},"source_schema":"create-record-input/v1","original_sha256":"1b251105d8295c8de20f7f16ec9b3ee1ae38ca8090e2531fe7c564ba02d16109","unmapped_fields":[]}],"publication":{"rule":"item_visibility","policy":"l05-publication/1","visibility":"public"}},"curation/v1":{"curator":"CURATOR-A-20261021","revision":1,"topic_ids":[],"confidence":"Sponsored; outputs not visually inspected; some ideas credited to other creators.","limitations":["Creator statements were read by discovery from auto-captions (ASR); not re-verified by the curator.","Sponsored; outputs not visually inspected; some ideas credited to other creators.","Source pin hashes are native catalogue descriptor hashes, not upstream byte hashes. 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