# How to grade a new AI agent against your business rules before launch with iFixAi

Repo: [ifixai-ai/iFixAi](https://github.com/ifixai-ai/iFixAi) | Difficulty: Beginner | Time: 30 minutes | Basis: Seen in the wild

Run a short audit that scores whether your agent follows your roles, policies and permissions.

**Who it is for:** Founder or engineer about to put a support or ops agent in front of real customers

**The problem:** Your tests check that answers look good, but nobody has checked whether the agent stays inside the rules it was given.

**The outcome:** A graded scorecard (A to F, broken down by category) that shows where the agent breaks policy before users find out.

## Steps

1. Install the package with the extra for the provider you test: pip install "ifixai[openai]"
2. Run the guided wizard: ifixai setup
3. Run the audit with no flags: ifixai run
4. Open the reports in ./ifixai-results/ and read the scorecard by category

## Prompt to paste into your agent

```text
Use the ifixai-ai/iFixAi repo to audit my agent at <agent endpoint or provider and model>. Run the guided setup, then a default run, and summarize the scorecard by category. Verify the report files were written to ./ifixai-results/ before you report results.
```

## Caveat

The engine is free but every check makes paid model calls, so use --dry-run first to see the estimated call count.

## Seen in the wild

- X (Oct 2026): https://x.com/i/web/status/2111897900028674049
- X (Oct 2026): https://x.com/i/web/status/2110506583478120875
- X (Oct 2026): https://x.com/i/web/status/2110392965147283848

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/ifixai-ai-ifixai/audit-agent-before-launch/