Designing AI Video Generation UI: Treat the Creative Brief as State
This is interface-level reasoning based on public workflow descriptions, not source-code analysis. For creative-generation products, the difficult frontend problem is not only submitting a request. It is retaining enough context for users to understand what changed and what to review.
Define the draft before generation
Nextify AI publicly presents scripts, visuals, voiceovers, and ad creation as connected creative inputs. A similar interface should keep a visible draft model: assets, audience intent, format, language, voice, and review status.
Make voice changes observable
The AI text to speech workflow describes script-to-speech choices such as voice, language, pace, and delivery. Changing the script should be able to make an existing voice preview stale. Changing language may create a pronunciation-review task.
Preserve comparison history
The AI video ad generator workflow frames variation as part of creative setup. Preserve prior outputs when users generate a revision, identify the changed variable, and display the inputs that produced each result.
Acceptance checks
Missing required input is shown before the job starts.
Draft, queued, complete, and failed states are distinguishable.
Regeneration does not overwrite prior results silently.
A script or voice change marks affected previews for review.
Final review includes claims, captions, rights, and destination requirements.
The output may be a video, but the product experience is a sequence of decisions. Make those decisions inspectable.
