Designing review gates for AI video pipelines to catch creative failures early

Short summary

A practical guide to adding human review gates in AI video generation pipelines to catch creative failures before they become expensive. The author identifies four checkpoints — direction, visual plan, timing, and final preview — each tied to a specific accepted artifact that controls downstream work. The key insight is that retrying the renderer when timing fails is wasted effort; the pipeline should return to the decision that caused the failure.

• •Four review gates (direction, visual plan, timing, final preview) each tied to a specific artifact that blocks downstream work
• •Timing validation should use real audio duration, not word count — words-per-second varied from 2.08 to 2.70 across niches
• •Changing an upstream artifact must invalidate only the dependent downstream artifacts, not the entire pipeline

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