Treat an AI video prompt as a versioned test case

#beginners

TL;DR

A generated clip is easier to review when its intent is written down before generation. Keep a small scene record, vary one input at a time, and distinguish a usable take from a visually impressive one. This is a workflow proposal, not a benchmark or a claim of deterministic generation.

For developers preparing short product demos, the difficult part is often the handoff: a clip looks attractive in the generator, then fails when you add the real caption or cut it into a sequence. The prompt is only one piece of that handoff. Crop, subject continuity, timing, and the intended edit matter too.

Start with a scene record

A plain JSON file is enough. The following schema is local bookkeeping, not an API payload for any video service:

{
  "sceneId": "cup-01",
  "revision": 1,
  "subject": "a ceramic cup on a plain table",
  "motion": "a slow camera push-in",
  "composition": "subject below the future caption area",
  "targetAspectRatio": "9:16",
  "reviewChecks": [
    "cup silhouette remains consistent",
    "caption area stays clear",
    "there is a usable continuous section"
  ],
  "attemptLimit": 3
}

The point is to make the acceptance criteria visible. “More cinematic” cannot tell a reviewer whether the result is ready. “The handle stays recognizable throughout the selected section” can.

Do not put credentials or private reference images into a public repository. A scene record can refer to an internal asset identifier instead of embedding the asset itself.

Separate intent, provider settings, and observations

These change for different reasons:

Record	Example	Why keep it separate?
Intent	Leave room for a caption	Comes from the finished edit
Settings	Model, supported duration, aspect ratio	Depends on the selected service/model
Observation	Handle changes halfway through	Describes one actual output

Copying the intent into a provider's prompt is a manual translation step. There is no assumption that every provider supports the same controls. For example, Social Video AI's text-and-image video workspace exposes model-dependent settings and credit costs, then lets you preview and download a clip. The scene record above can accompany that workflow, but it does not imply an API integration, automated posting, or reproducible seeds.

Reference images also do not guarantee exact preservation of a logo, product shape, or person. Treat those as things to inspect, not promises that the input enforces.

Make the review decision explicit

Use a small set of outcomes:

Keep: a usable section meets the scene's requirements.
Trim: the requirements hold only during part of the clip.
Revise: one identifiable problem warrants another attempt.
Stop: the scene needs different source material or ordinary footage.

A useful review note contains a reason and, when applicable, the usable interval. “Trim: opening composition works, but the cup changes shape later” helps the editor more than “version 2 looks best.”

Review the beginning, middle, and end at minimum, then watch the entire selected interval. Put the actual caption over it. A clear region in a still preview may not stay clear after the camera moves.

Version the hypothesis, not just the filename

If a take fails, change one meaningful cause. Keep the reference and framing while simplifying the motion, or keep the motion while changing the crop. Changing everything may produce a better clip, but it gives little evidence about why.

An example naming convention is cup-01-r02-take01. The revision identifies a changed instruction; the take identifies another output from that instruction. This is traceability, not determinism: repeated requests can still differ.

Record the displayed credit cost before committing to another attempt. A simple planning estimate is scenes × attempts per scene × credits per attempt, but costs can vary by model and settings. Recalculate when those settings change; do not treat one estimated number as a universal price.

Finish in the editor

Generation does not finish the social post. Captions, accurate branding, cuts, audio rights, and platform upload need separate checks. Sometimes trimming an existing take is more effective than generating another one.

The useful artifact is not a perfect prompt. It is a scene record plus a review decision that another person can understand. Which field would you add to make that handoff easier?

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