Welcome to our how-to guides for optimizing and fixing AI applications. These guides offer practical solutions to common problems across three key areas:

Each guide shows you how to spot problems, understand what metrics reveal, see examples of poor setups, and follow clear steps to fix issues.

Troubleshooting and Optimizing Your AI Applications

We’ve organized these guides by application type to help you solve specific problems in your AI systems. Whether you’re dealing with hallucinating models, inefficient agents, or poor retrievals, you’ll find practical advice based on metrics and proven fixes.

Choose the section that matches your current challenge, or explore all areas to build a better understanding of AI optimization.

Conversational AI

When AI chat systems give wrong information or unclear answers, users lose trust. Our guides help you fix these conversation problems using key metrics, so you can build AI that communicates clearly and accurately.

Retrieval-Augmented Generation (RAG)

When your RAG system can’t find the right information or use it properly, answers become less accurate. Our guides help you fix these knowledge retrieval problems so your AI can provide more accurate, relevant responses.

Agentic AI

When AI agents fail to complete tasks correctly, workflows break down and users lose confidence. Our guides help you identify why agents struggle and how to improve their ability to reason and complete complex tasks.