# A reliable AI experience makes uncertainty visible.

> AI product experience is not a prompt field and a stream of text. It is how people understand system recommendations, correct mistakes, approve actions and recover when information is incomplete.

Canonical URL: https://marmation.com/expertise/ai-product-experience/

## The decision

Can a person see what changed and reject it safely?

Make the evidence, missing information and correction options visible alongside the suggestion. A document comparison or assigned review task may help people decide more clearly than another chat window.

## A user needs to judge the proposed contract changes

An agent suggests three contract changes. The user needs to understand which clauses were found, what was changed and where the risk lies before accepting the result.

## Fluent text can hide evidence the system never found

Fluent natural-language output can hide missing evidence. Chat interfaces often lack stable structure, replayability and clear states. Accessibility can degrade when content streams without usable focus updates.

## Design correction, refusal and review with the suggestion

Map the decisions a user must make, then choose an interface that exposes the evidence and proposed changes. Design how to correct, reject or escalate a suggestion and what happens when there is no supported answer. Check each promise against the backend: history, approval, undo and completion must describe capabilities the system actually provides. Test keyboard and screen-reader behavior as these states change.

## The interaction patterns that help people stay in control

- User task mapping and AI/non-AI interaction comparison.
- Review, correction and components that show where a suggestion came from.
- Accessible state transitions and recovery patterns.
- Usability and failure-mode tests tied to product analytics.


## Choose the format that makes the decision clear

Choose form, table, side-by-side document, action queue or conversation based on task. Use a conversation when it helps people make the decision, rather than choosing it because the feature uses AI.

## Can people find mistakes and reject a change?

Test screen reader behavior, hidden changes, revision history, wrong references and user ability to reject proposed actions.

## Design the correction path beside the ideal answer

Design the refusal and correction flows at the same time as the ideal response.

## Related reading

- [Design for the moment the AI is unsure.](https://marmation.com/solutions/ai-ux-and-product-design/)
- [Build AI into the product. Not just the prototype.](https://marmation.com/solutions/ai-product-engineering/)
- [The best AI interface is honest about uncertainty.](https://marmation.com/review/designing-ai-ux-for-uncertainty/)