How do you prioritize features for an AI media application?

How do you prioritize features for an AI media application?

Prioritization is a decision about what to learn and deliver next. It should account for user value as well as the work needed to make a feature reliable.

Compare features on consistent criteria

For each feature, record the problem it solves, the users affected, dependencies, estimated effort, and major unknowns. A download button may look small but depends on producing and storing a valid file. A voice selector may look attractive while adding provider and quality-testing complexity. Use rough estimates as planning aids, not precise predictions.

Protect the critical journey

Prioritize the capabilities required to complete one useful task. Then consider improvements that remove a demonstrated obstacle. If a high-value feature has a large unknown, schedule a short experiment before committing to the full implementation. Revisit the ranking after the experiment. A practical review is to remove a feature from the plan and ask whether the creator can still finish the promised task; if not, understand which dependency makes it essential.