Building RehearsAI for the Gemini Live Agent Challenge

Source: Dev.to

Overview

A few weeks ago we came across the Gemini Live Agent Challenge, a Google hackathon focused on building real‑time AI agents with Gemini. We were immediately interested — we had been experimenting with text‑based AI apps for a while, but we had always wanted to build something with live agents.

Concept: Rehearse AI

Rehearse AI is an app designed to help people practice difficult conversations. You can simulate a conversation with an AI agent, rewind the timeline, try different responses, and explore how the conversation could unfold depending on what you say. The idea is simple: practice the conversation before it happens in real life — so when the moment comes, you’re ready.

Prototyping

We started prototyping the project in Google AI Studio and built the app using Gemini models, the Google AI SDK, and React.

Technical Challenges

One of the biggest challenges was designing the conversation timeline. Because users can rewind and try different responses, we had to figure out how to reflect those changes both in the UI and in the AI’s conversational state. This required iterating on:

• How the timeline works
• How branches are represented
• How the AI understands the current context of the conversation

Impact

Many people experience anxiety when facing difficult conversations — whether it’s asking for a raise, giving feedback, or setting boundaries. Rehearse AI creates a safe space to practice those moments.

Reflections

For us, this project has been a new way to think about AI: not just as a tool to generate text, but as a simulation environment for real‑life decisions.

This content was created as part of our participation in the Gemini Live Agent Challenge hackathon.

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