03.03Case study
ai-agent-portfolio
A set of working agents with the evaluation runs that justify them.

- Role
- Author
- Stack
- Python
- MCP
- OpenAI API
- Pytest
- Last push
- 1y ago
03.03.1
Problem
Agent demos usually show one lucky transcript. Nothing in them says how often the agent is right, or what it does when a tool fails.
03.03.2
Approach
Each agent ships with a fixed task set, a recorded trace per run, and a scoring pass that runs on every change. Tool failures are injected on purpose.
03.03.3
Outcome
Every agent in the repo has a pass rate attached to it, and a regression shows up as a number rather than a feeling.