AI Interfaces

What makes designing for AI different?

A normal interface does the same thing every time. An AI feature doesn't, and the design has to make that uncertainty understandable instead of hiding it. That means designing for:

• What the system is confident about, and what it is guessing
• What happens when it is wrong, and how quickly a person can fix it
• Where a human needs to review or approve before anything happens
• Sensible fallbacks when the model is slow, unavailable or out of its depth

Most of this work is about making model behaviour legible to people who didn't build the model. That is a design problem far more than a technical one.

What have we built?

Our founder designs AI products day to day as a Senior Designer at Rezolve AI. Among that work is a voice and text agent that sits on every page of the Rezolve website:

• It answers questions by voice or text, using only the site's own content
• It takes visitors straight to the page that answers their question
• It is designed to say clearly when something is outside what it knows

An AI feature is only as good as the moment it gets something wrong.

What does the process look like?

1. Define the job. What should the AI do, for whom, and what would a good answer look like? We write that down before any interface.
2. Design every state. Thinking, answering, unsure, wrong, refused and handed to a human, not just the happy path.
3. Prototype with real output. We design against what the model actually returns, not lorem ipsum, so surprises show up early.
4. Measure and tune. Track where people trust it, where they give up, and adjust the design and the prompts together.

What is the most common mistake?

Adding a chat box and calling it an AI strategy. Usually that leads to:

• A feature nobody knows when to use
• Answers people can't verify, so they stop trusting it
• No way back when it goes wrong, so support picks up the pieces

The best AI features often don't look like chat at all. They show up in the right place, do one job well and explain themselves.