Evaluation

What are Online Evaluations and How to Set Them Up for Your AI System Using Maxim AI

What are Online Evaluations and How to Set Them Up for Your AI System Using Maxim AI

Introduction Building an LLM-powered application is one thing; ensuring it performs optimally in production is another challenge entirely. While evaluation during development is necessary, the non-deterministic nature of LLMs means that all possible scenarios can never be fully covered in testing. This is where online evaluations become crucial. Online vs.

When AI Snitches: Auditing Agents That Spill Your Model’s (Alignment) Tea

When AI Snitches: Auditing Agents That Spill Your Model’s (Alignment) Tea

Sure, your model aced every benchmark, but can you trust it when the stakes are real? Every frontier lab runs alignment post-training before shipping their chat models to the world. The problem? Actually auditing whether this alignment worked can be an absolute nightmare. You're basically trying to find

Building and Evaluating a Reddit Insights Agent with Gumloop and Maxim AI

Building and Evaluating a Reddit Insights Agent with Gumloop and Maxim AI

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

Evaluating a Healthcare use case using Vertex AI and Maxim AI - Part 1

Evaluating a Healthcare use case using Vertex AI and Maxim AI - Part 1

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.