> ## Documentation Index
> Fetch the complete documentation index at: https://maxim-gtm.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# How does Maxim AI Evaluate Multi-Turn Agent Trajectories Before Deployment?

> Maxim AI evaluates multi-turn agent trajectories offline using partial traces and AI-powered simulations. Test conversations, identify failures, and validate performance before deployment.

You can run offline evaluations on multi-turn agent trajectories in two common ways:

* **With traces**: The first one is by bringing in partial traces, and evaluating the next step. For instance, if you want to evaluate the nth step, you bring in the previous n-1 traces. In other words, you can replay n-1 steps of the conversation and then evaluate the next one.
* **AI-powered simulations**: Generate realistic user interactions at scale to evaluate your agents across diverse real-world scenarios and user personas. Simulations help you identify behavioral trends, spot potential failure points, and validate agent performance without requiring live user traffic.

(See: Learn more about simulation [here](https://www.getmaxim.ai/docs/simulations/text-simulation/overview).)


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