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Listen to Your Future Interviewer in Action AI Interviewer: "Good morning! I'm excited to discuss this Senior React Developer position with you. I've reviewed the job description, and I see you'll be working on high-performance web applications with TypeScript and modern React patterns.

Reddit is one of the internet’s most valuable data sources, and also one of the most chaotic. Somewhere between the hot takes on r/technology and the unsolicited growth advice on r/marketing, there are real signals hiding in plain sight: what people are building, breaking, hyping up, or

Feature spotlight ⚡️ Introducing Bifrost: The fastest LLM gateway We're excited to announce the public release of Bifrost, the fastest, most scalable LLM gateway out there. We've engineered Bifrost specifically for high-throughput, production-grade AI systems and optimized performance at every level. Here's how Bifrost improves

You can take your model to the water, but you can’t make it think. Every frontier lab’s model drops are accompanied by boasts on improved capabilities on a dozen benchmarks. A recent study explores that the fact that a model is capable of accomplishing a task doesn’t

Welcome! In this tutorial, we'll build a fun, interactive AI agent called "Guess the Bug." The agent will use Anthropic's Claude model to generate simple Python code snippets with hidden bugs. Your job is to find the bug, and the agent will tell you

Introduction AI has officially broken out of the tech bubble and into everyday workflows, boosting productivity but also raising safety concerns, especially around bias in large language models. These models inherit societal biases from internet data, and debiasing efforts by frontier labs can sometimes go too far (remember the racially

Introduction Building AI agents has become more accessible than ever, empowering developers to create sophisticated, autonomous systems. But moving from a working prototype to a production-ready agentic application brings a new set of challenges, from ensuring reliability and safety, to evaluating performance at scale. Agentic systems, by nature, are complex.

What if you could test your AI system with thousands of diverse users without recruiting a single person? User Simulation makes this possible. Simulating human users - a fundamental application of AI has driven progress in both research and industry. By allowing machines to imitate real user interactions, user simulation

Ever wanted to create an intelligent game that can generate questions, check answers, and adapt to different difficulty levels? In this tutorial, we'll build a Math Trivia Game using Mistral AI's language model and Maxim for observability. Our agent will be able to generate arithmetic and

Last week at Maxim, 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 – Build exactly what you need to monitor

“How’s the weather today in Delhi?” Simple question - but what if we wanted a conversational AI that could answer it, explain the temperature trend, and log every detail of its interaction for analysis? Agentic systems are booming. But building a reliable production-ready AI agent involves more than just