Developer fixes AI character inconsistency in auto-generated videos using prompt injection and visual QA

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A developer building fully automated explainer videos discovered that their local image-generation AI depicted the same historical subject as a completely different person in every scene. The root cause was that each scene's image prompt was written independently, causing the AI to reimagine the character's appearance and historical setting from scratch each time. To fix consistency, the developer created a reusable 'character card' defining the subject's appearance and historical constraints, which was automatically injected into every scene's prompt before generation. However, negative instructions like 'don't draw a dome' proved largely ineffective, so a second AI was added as a visual checkpoint to inspect the actual output pixels for anachronisms, fake text, and character inconsistencies. Scenes that failed the automated visual check were regenerated with a new random seed until they passed, successfully eliminating the remaining errors.

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