Your customer support agents are the frontline of your business—but how do you ensure they’re truly excelling? Traditional evaluation methods are tedious and struggle to capture real-world complexities. That’s where simulations make the difference—replicating dynamic, multi-turn interactions to uncover gaps, optimize responses, and refine quality at scale.

The most pressing challenges with testing agentic interactions are:

❗️Multi-turn nature of conversations - Unlike single-turn conversations, multi-turn interactions make testing far more complex when there are multiple trajectories your agent can take at any point.

❗️Complexity in real-world decisions - The factors to test are often nuanced and multifaceted. It requires navigating trade-offs and considering multiple metrics from task success and agent trajectory to empathy and bias.

❗️Non-deterministic outcomes - Since responses aren't always predictable, testing can't just rely on predefined answers.

With Maxim AI's simulation and evals platform, teams can test their customer support agents across hundreds of scenarios and user personas on metrics they care for! 

To help AI teams save hundreds of hours of manual effort in agent testing, we are launching Maxim’s AI-powered simulations on Product Hunt.🚀🚀

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