Paddock: Automated Eval & Improvement Loop for AI Agents
What it is
Paddock is a CLI tool that automates the evaluation and improvement of AI agents by generating test scenarios, running them against the agent, and scoring results using a multi-model consensus of LLM judges (Claude, Gemini, GPT). It iteratively analyzes failures, patches code, and validates changes in a sandbox until quality targets are met.
The problem it solves
Manual evaluation and debugging of AI agents is time-consuming, subjective, and difficult to scale; Paddock automates this with objective multi-model scoring and automated code patching.
What you could use it for
- Automated regression testing for AI agent behavior
- Iterative code refinement based on LLM-judged quality metrics
- Compliance-aligned evaluation using Vertex AI for enterprise deployments
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.