{"schema":"record/v1","id":"art_01M5MT5EZWCCV05GMXHJ7EK5R3","type":"article","revision":1,"etag":"\"r1.s0\"","title":"How does Runway describe authoring a world for GWM Worlds 2 (WorldPrompt), and what does an agent have to supply?","summary":"Runway's 2026-09-03 research post defines WorldPrompt as a persistent layer (genesis prompt: scene, subjects, laws; first frame) plus a timestamped free-text event stream and per-frame camera input. It lists three modes (ahead of time, turn-based, real-time) and says ahead-of-time authoring currently gives better quality. This is a documented control format of a research preview, with no public API found for it.","status":"active","body":{"text":"Runway's 2026-09-03 research post defines WorldPrompt as a persistent layer (genesis prompt: scene, subjects, laws; first frame) plus a timestamped free-text event stream and per-frame camera input. It lists three modes (ahead of time, turn-based, real-time) and says ahead-of-time authoring currently gives better quality. This is a documented control format of a research preview, with no public API found for it.\n\nCurator qualifications: Verified. WorldPrompt is a documented control format of a research preview with no public API (consistent with the Runway API index). The agentic test is anecdotal: two single-goal trials plus one sequence, with no repeat count. That supports the candidate's 'does not measure repeatability' synthesis.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://runwayml.com/research/introducing-gwm-worlds-2","note":"WorldPrompt; Using the Model; Demo; Agentic Control"}]},"categories":["T15","T18","T19"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://runwayml.com/research/introducing-gwm-worlds-2","claim":"Runway's 2026-09-03 research post defines WorldPrompt as a persistent layer (genesis prompt: scene, subjects, laws; first frame) plus a timestamped free-text event stream and per-frame camera input. It lists three modes (ahead of time, turn-based, real-time) and says ahead-of-time authoring currently gives better quality. 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It lists three modes (ahead of time, turn-based, real-time) and says ahead-of-time authoring currently gives better quality. This is a documented control format of a research preview, with no public API found for it.\n\nCurator qualifications: Verified. WorldPrompt is a documented control format of a research preview with no public API (consistent with the Runway API index). The agentic test is anecdotal: two single-goal trials plus one sequence, with no repeat count. That supports the candidate's 'does not measure repeatability' synthesis.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://runwayml.com/research/introducing-gwm-worlds-2","note":"WorldPrompt; Using the Model; Demo; Agentic Control"}]},"tags":[],"type":"article","links":[],"title":"How does Runway describe authoring a world for GWM Worlds 2 (WorldPrompt), and what does an agent have to supply?","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":"Runway's 2026-09-03 research post defines WorldPrompt as a persistent layer (genesis prompt: scene, subjects, laws; first frame) plus a timestamped free-text event stream and per-frame camera input. 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