Ship Faster Without Breaking Your Agent
A simple evaluation system that catches prompt drift and tool bugs before your users do
Every time I changed the system prompt or a tool description in our agentic chatbot, something else broke. Tool B would finally start working, but then Tool A would hallucinate responses that were perfectly fine before. I'd check the logs, compare prompts, roll back changes in git, and manually test a dozen use cases. It was a nightmare that made development painfully slow.
When you're building an AI agent with multiple tools, you craft this big, careful system prompt that explains which tool to use when and how to use each one. Change one sentence, and the whole thing can shift in ways you don't expect. The complexity comes from these emergent behaviors. LLMs don't follow strict logic. They're probabilistic. A small wording change in your prompt can make the llm act in weird ways.
This problem slowed us down so much that I had to solve it. I needed something that could check hundreds of use cases in minutes instead of hours, something that would tell me exactly what broke and why.