Chris Messina

2d ago

Bifrost - The fastest LLM gateway in the market

Bifrost is the fastest, open-source LLM gateway with built-in MCP support, dynamic plugin architecture, and integrated governance. With a clean UI, Bifrost is 40x faster than LiteLLM, and plugs in with Maxim for e2e evals and observability of your AI products.
Akshay Deo

7d ago

MCP is great but nailing tool call accuracy is difficult!

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

Akshay Deo

9mo ago

Maxim - Evaluate and improve your AI products, 5x faster ⚡️

Maxim is an end-to-end AI evaluation and observability platform that helps you test and ship high-quality AI products, 5x faster ⚡️ Its developer stack comprises tools for the full AI lifecycle: experimentation, pre-release testing, and production monitoring.
Akshay Deo

5mo ago

Maxim's Agent Simulation Goes Live on Product Hunt on March 11th

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.

Akshay Deo

5mo ago

Ensuring the quality of your customer support agents with AI-powered simulations 

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: