# Moda

Your agents should never make the same mistake twice.

Infrastructure for catching AI agent mistakes in production and turning them into evals.

Production monitoring and evals for AI agents.

## The loop: from broken traces to validated fixes

### Monitor every trace

Moda reads every production trace end to end and detects the failures that never throw an error: frustrated users, failing tools, lazy answers, and hallucinations. Add your own checks in plain language and get alerts in Slack, Linear, or email.

### Find the mistakes they keep repeating

Failures are grouped into problems ranked by how many users they affect. Each problem shows the traces behind it, the turn where it went wrong, and related problems that share the cause.

### Test every change before it ships

Replay a prompt, model, or tool change against the exact traces that failed and compare pass rate, latency, and tokens. Your team reviews the result and decides what ships.

## Tailored to your workflow

- Custom signals: describe the behavior your agent must get right, and Moda checks every trace against it.
- Monitors: alert when a signal's hit rate crosses a threshold, with example traces attached.
- Right where you work: Slack, Linear, and GitHub, plus the Moda CLI and hosted MCP server for coding agents.

## When to use Moda

Reach for Moda when you run AI agents in production and want each failure fixed once, not rediscovered by your users.

## Links

- Homepage: https://moda.dev
- Documentation: https://docs.moda.dev
- Authentication: https://moda.dev/auth.md
- CLI: https://www.npmjs.com/package/@moda-ai/cli
- MCP server: https://docs.moda.dev/mcp/overview
- OpenAPI: https://moda.dev/api/openapi.json
- Agent instructions: https://moda.dev/agents.md
- LLM reference: https://moda.dev/llms.txt
- Blog: https://moda.dev/blog