Record acceptance checks separately from AI video render status

Description and use

<p>A video-generation job can finish successfully while its output still needs review. A useful integration keeps the provider's job status separate from checks on the resulting artifact. Duration and aspect ratio can be checked from recorded metadata; spelling, actions and sound need their own evidence.</p> <p>Here is a small, offline JavaScript reporter that keeps an unchecked requirement from becoming a green result. It works on a JSON record and makes no model calls. You can use the method with any video provider.</p> <h2> Define the requirements before the next render </h2> <p>Write down

Problem

<p>A video-generation job can finish successfully while its output still needs review. A useful integration keeps the provider's job status separate from checks on the resulting artifact. Duration and aspect ratio can be checked from recorded metadata; spelling, actions and sound need their own evidence.</p> <p>Here is a small, offline JavaScript reporter that keeps an unchecked requirement from becoming a green result. It works on a JSON record and makes no model calls. You can use the method with any video provider.</p> <h2> Define the requirements before the next render </h2> <p>Write down

Outcome

<p>A video-generation job can finish successfully while its output still needs review. A useful integration keeps the provider's job status separate from checks on the resulting artifact. Duration and aspect ratio can be checked from recorded metadata; spelling, actions and sound need their own evidence.</p> <p>Here is a small, offline JavaScript reporter that keeps an unchecked requirement from becoming a green result. It works on a JSON record and makes no model calls. You can use the method with any video provider.</p> <h2> Define the requirements before the next render </h2> <p>Write down

Evidence

Record acceptance checks separately from AI video render status

Source