Getting tool call accuracy right is key for a smooth Agent UX. In our latest benchmarking post (link in the comments), we break down how adding more context or tools to your prompts can actually make accuracy drop from 73 percent to 66 percent.
Want to keep your agents sharp? Check out this quick demo on how to set up continuous evaluation using Maxim AI.
Ready to level up your agents? See how Maxim can help you build high-quality, reliable agents that deliver real results - https://evals.run
As we spoke with more and more teams trying to build and test complex AI agents, we realized that evaluating multi-turn agentic interactions is still a major challenge across use cases, from customer support to travel.
We are launching Maxim s agent simulation to help teams save hundreds of hours in testing and optimizing AI agents.
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:
Maxim AILaunching Bifrost- The fastest LLM gateway
