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📣 📷 AI Evals Mixer | May 21st Maxim AI is excited to host the AI Evals Mixer - Bangalore edition in association with Razorpay Ventures and Mars Shot VC on May 21st, bringing together engineering and product leaders shaping the future of AI. Join us for an evening of

With Maxim’s one-line integration for CrewAI , you can easily trace and analyse agent interactions, performance metrics, and more. Features: One Line Integration 1. End-to-End Agent Tracing: Monitor the complete lifecycle of your agents 2. Performance Analytics: Track

This comprehensive guide will walk you through creating an intelligent event-discovery agent (an agent that discovers public events happening in the US) using n8n.io (an open-source workflow automation platform) and rigorously testing it with Maxim AI (an agent testing

Let's build an AI Agent ❌ ..... a well tested AI Agent ✅ In this video we will be creating an intelligent event-discovery agent (an agent that discovers public events happening in the US) using n8n.io (an open-source workflow automation platform) and testing it with

People build better agents using Maxim AI

Do Language Models Know That They're Being Evaluated? Picture this scenario: You’re very new to AI, exploring chatgpt by testing its capabilities on various topics, expecting honest answers unaware that behind the scenes, it already figured out that it’s being tested and is

Last week at Maxim AI, we rolled out several powerful upgrades to give teams more control, clarity, and customization across the platform. Here's what’s new: Custom Dashboards Just Got an Upgrade ⬆️ Dashboards are now more flexible and insightful: - Custom metric cards

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Was an easy call for us!

okay so Vapi 's dashboard (main app) does not open unless I disable tracker blocks 🫠

Maxim's Integration for Anthropic is Here! 🚀 Build AI systems using Anthropic Claude LLMs and effortlessly push logs to Maxim AI. Monitor the following data about your agent run on Maxim Dashboard - - Costs - Latency - Token Usage - LLM activity - Function Calls

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Most agent observability setups today are missing a critical piece: they trace LLM calls in isolation, completely disconnected from the broader API or system traces. The result? Garbage in, garbage out. Agents aren't just a chain of LLM calls; they’re cohesive systems

A public company recently deployed Bifrost to their staging environment swiftly and without any support from our team. The result? Over 50x improvement in latency. Companies value flexibility and speed, while developers prioritize quality and efficiency. Bifrost delivers on all

Remember when AI models just autocompleted your emails and churned out some Python code blocks? Those were simpler times. Now we're living in the golden age of AI agents where Cursor makes developers feel superhuman, Harvey prints enterprise money raising to $5B

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?