{"schema":"record/v1","id":"src_01M569CC015X3YN308EJ1S1S3B","type":"source","revision":1,"etag":"\"r1.s0\"","title":"VertexCGI builds a viral NBA Finals campaign in a five-day sprint","summary":null,"status":"active","body":{"text":"","archived":false,"revision":{"ref":null,"pinned":false,"source_url":"https://higgsfield.ai/creator-hub/case-studies/vertexcgi-higgsfield-nba-finals-case-study"},"checked_at":"2026-10-17T00:00:00.000Z","parent_url":null,"usefulness":"Fast-turnaround method: live ideation by generating on the first call, dual-direction exploration for an unknown outcome, storyboard lock, 720p iteration then 1080p final renders with Kling 3.0.","source_type":"other","availability":"available","dependencies":[],"source_owner":"Higgsfield (agency: VertexCGI)","canonical_url":"https://higgsfield.ai/creator-hub/case-studies/vertexcgi-higgsfield-nba-finals-case-study","next_check_at":"2026-10-24T00:00:00.000Z","successor_url":null,"hardware_notes":null,"known_limitations":["No prompts, shot count, runtime, continuity or sound details.","Page metadata mentions '5x more shots' which the body does not support.","Tool naming inconsistent (ChatGPT Image 2 vs GPT Image 2).","Vendor-published customer story: metrics are self-reported and unaudited; no independent verification."],"upstream_updated_at":"2026-09-02T00:00:00.000Z"},"categories":["T04","T05","T06"],"tags":["higgsfield","case-study","sprint","nano-banana","kling","720p-iteration","level:established"],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"reported_by_source","review":"unreviewed","review_revision":null,"claims":[{"url":"https://higgsfield.ai/creator-hub/case-studies/vertexcgi-higgsfield-nba-finals-case-study","claim":"Published 2026-07-28 (modified 09-02); names Nano Banana Pro and ChatGPT/GPT Image 2 for exploration and Kling 3.0 as the primary video model.","locator":"page metadata and tools list","classification":"sourced_fact"},{"url":"https://higgsfield.ai/creator-hub/case-studies/vertexcgi-higgsfield-nba-finals-case-study","claim":"Reports five days from first call to publish and a SportsCenter pickup; the 'several weeks' traditional comparison is an estimate.","locator":"results passage","classification":"upstream_claim"},{"url":"https://higgsfield.ai/creator-hub/case-studies/vertexcgi-higgsfield-nba-finals-case-study","claim":"Process passage: generate during the first call, develop directions for both possible winners, lock storyboard, iterate at 720p, re-render approved shots at 1080p.","locator":"production-process passage","classification":"sourced_fact"},{"url":"https://higgsfield.ai/creator-hub/case-studies/vertexcgi-higgsfield-nba-finals-case-study","claim":"Inspection note: No prompts, shot count, runtime, continuity or sound details.","locator":"whole page; fetched 2026-10-17","classification":"inference"},{"claim":"Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.","classification":"upstream_claim"}],"execution_record_ids":[]},"rights":[{"notes":"No license or reuse terms were found on the page; https://higgsfield.ai/terms returned HTTP 404 on 2026-10-17. Treat facts and short paraphrase as usable references only; do not mirror text or embedded media. Embedded video/image rights unknown.","hosting":"unknown","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"unknown"},{"notes":"Embedded videos, stills and prompts on the page: no license text found; rights unknown. Prompts are published for viewer use on tutorial pages but no reuse terms were located.","hosting":"unknown","component":"sample_assets","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"unknown"}],"attribution":{"origin":"research_agent","upstream_owner":"Higgsfield (agency: VertexCGI)","upstream_url":"https://higgsfield.ai/creator-hub/case-studies/vertexcgi-higgsfield-nba-finals-case-study","imported_from":"content/seeds/research/curated/resources.jsonl#x01-hf-vertex-nba","import_batch_id":"l07-curated-2026-10-17","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":"l07-curated-2026-10-17","original":{"id":"x01-hf-vertex-nba","name":"VertexCGI builds a viral NBA Finals campaign in a five-day sprint","tags":["higgsfield","case-study","sprint","nano-banana","kling","720p-iteration","level:established"],"rights":[{"notes":"No license or reuse terms were found on the page; https://higgsfield.ai/terms returned HTTP 404 on 2026-10-17. Treat facts and short paraphrase as usable references only; do not mirror text or embedded media. Embedded video/image rights unknown.","hosting":"unknown","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"unknown"},{"notes":"Embedded videos, stills and prompts on the page: no license text found; rights unknown. Prompts are published for viewer use on tutorial pages but no reuse terms were located.","hosting":"unknown","component":"sample_assets","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"unknown"}],"archived":false,"evidence":[{"url":"https://higgsfield.ai/creator-hub/case-studies/vertexcgi-higgsfield-nba-finals-case-study","claim":"Published 2026-07-28 (modified 09-02); names Nano Banana Pro and ChatGPT/GPT Image 2 for exploration and Kling 3.0 as the primary video model.","locator":"page metadata and tools list","classification":"sourced_fact"},{"url":"https://higgsfield.ai/creator-hub/case-studies/vertexcgi-higgsfield-nba-finals-case-study","claim":"Reports five days from first call to publish and a SportsCenter pickup; the 'several weeks' traditional comparison is an estimate.","locator":"results passage","classification":"upstream_claim"},{"url":"https://higgsfield.ai/creator-hub/case-studies/vertexcgi-higgsfield-nba-finals-case-study","claim":"Process passage: generate during the first call, develop directions for both possible winners, lock storyboard, iterate at 720p, re-render approved shots at 1080p.","locator":"production-process passage","classification":"sourced_fact"},{"url":"https://higgsfield.ai/creator-hub/case-studies/vertexcgi-higgsfield-nba-finals-case-study","claim":"Inspection note: No prompts, shot count, runtime, continuity or sound details.","locator":"whole page; fetched 2026-10-17","classification":"inference"}],"language":"en","revision":{"ref":null,"pinned":false,"source_url":"https://higgsfield.ai/creator-hub/case-studies/vertexcgi-higgsfield-nba-finals-case-study"},"checked_on":"2026-10-17","usefulness":"Fast-turnaround method: live ideation by generating on the first call, dual-direction exploration for an unknown outcome, storyboard lock, 720p iteration then 1080p final renders with Kling 3.0.","source_type":"other","category_ids":["T04","T05","T06"],"dependencies":[],"source_owner":"Higgsfield (agency: VertexCGI)","canonical_url":"https://higgsfield.ai/creator-hub/case-studies/vertexcgi-higgsfield-nba-finals-case-study","review_status":"reviewed","hardware_notes":null,"schema_version":"0.1","execution_status":"reported_by_source","inspection_status":"source_inspected","known_limitations":["No prompts, shot count, runtime, continuity or sound details.","Page metadata mentions '5x more shots' which the body does not support.","Tool naming inconsistent (ChatGPT Image 2 vs GPT Image 2).","Vendor-published customer story: metrics are self-reported and unaudited; no independent verification."],"upstream_updated_at":"2026-09-02T00:00:00Z","proposed_next_action":"synthesize"},"collector":{"file":"research-results/_inbox/x01/candidates.json","lane":"x01","branch":"worktree-agent-a0903c74cfe180698","commit":"f90a739","collector":"Claude Sonnet 5.5 (high), X01 Higgsfield case studies, founder-run","file_sha256":"52bdd358c9a71279b350e9856ac2ffe4c7f3b1bbcd08aa6a2292fd8ae025e1eb","merged_from":[],"original_id":"x01-hf-vertex-nba","review_reason":"L07 review 2026-10-17: lane x01 accepted after automated metadata re-check and sample verification; see review-log.jsonl.","review_status":"reviewed","automated_flags":[]},"observed_on":"2026-10-17","original_id":"x01-hf-vertex-nba","source_file":"content/seeds/research/curated/resources.jsonl","research_side":{"review_status":"reviewed","source_language":"en","execution_status":"reported_by_source","inspection_status":"source_inspected","proposed_next_action":"synthesize"},"source_schema":"resource-candidate/0.1","original_sha256":"ce75533719c4d881de11c6516da206cf031649d1b817bde547032f7078bca45d","unmapped_fields":["language","proposed_next_action"]}],"publication":{"rule":"owner_import_table","policy":"l05-publication/1","visibility":"public"},"research_review":{"by":"research pipeline","as_of":"2026-10-17","status":"reviewed"}}},"parent_id":null,"project_id":null,"reply_count":0,"url":"https://veyrul.com/sources/src_01M569CC015X3YN308EJ1S1S3B","api_url":"https://veyrul.com/v1/records/src_01M569CC015X3YN308EJ1S1S3B","created_at":"2026-10-18T01:17:53.527Z","updated_at":"2026-10-18T01:17:53.527Z","last_activity_at":"2026-10-18T01:17:53.527Z"}