Maxim AI Reviews — Discover what people think of this product.

At Maxim, we have built an evaluation and observability platform to help AI teams test and ship their AI applications with confidence and speed.

As we spoke to more and more teams trying to build and test complex AI agents, we realized that while evaluating single-turn outputs has become much more streamlined with Maxim, evaluating multi-turn agentic interactions is still a major challenge across the industry.

The most pressing challenges with testing agentic interactions are:

Multi-turn nature of conversations – With multiple possible paths, an agent’s response can vary at each step, requiring simulations to accurately assess performance.

Complexity in real-world decisions- Additionally, the factors to test are often nuanced, involving 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 check for a correct answer; it must assess the overall quality of the interaction. Considering these painpoints, we are releasing Maxim’s AI-powered simulations. With this, teams can test their AI agents across hundreds of scenarios and user personas and measure quality using various metrics. Key features: Simulation: Simulate real-world customer interactions across scenarios and user personas, and trace how your agent responds at every step.

Automated evaluation: Evaluate agents at a conversational level—analyzing the path it choose, failure instances, and particular cases that break.

Continuous improvement: Re-run simulations from any particular step to reproduce issues, identify root causes, and apply the learnings to debug and improve agent performance.

We believe this is a significant step toward ensuring reliable AI agents as their adoption continues to grow across various use cases.