AI & craft /
When is AI-assisted work actually ready?
Specifications, visible outcomes and the difference between a demo and a delivery.
Start with an observable outcome.
A request becomes easier to check when it describes what a person should be able to do. For a subtitle editor, that could mean changing a word, seeing the change in the preview, undoing it and exporting the intended result.
This connects a development task with the person who will eventually use it. It also exposes gaps that a list of implemented functions can miss.
Match the check to the claim.
A successful build establishes that a project can be compiled. A browser check can establish that a specific interaction works. A rendered video adds evidence about the output. Each answers a different question.
Synthetic media is helpful for repeatable checks, while real footage can reveal awkward timing, transcription mistakes and poor clip choices. Keep track of which kind of material was used.
Leave a clear next step.
AI-assisted development still needs product judgment, scope decisions and review. A useful handover records what works, the environment in which it was checked and what remains uncertain.
This lets the next session continue with evidence. It also keeps a promising prototype from being described as a finished service before it has earned that description.
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