# Writing Reproducible Proof-of-Concepts for AI Findings

> Master the art of creating context-rich, statistically validated, and automated proof-of-concepts for non-deterministic AI vulnerabilities.

Canonical: https://codelivly.com/rooms/writing-reproducible-proof-of-concepts-for-ai-findings
Last updated: 2026-10-14

| | |
|---|---|
| Level | Advanced |
| Category | Cybersecurity |
| Lessons | 2 |
| Estimated time | 30 min |
| XP | 100 |

This module dives into the technical execution of documenting AI exploits. Because AI vulnerabilities are probabilistic, a simple screenshot or single prompt is insufficient. You will learn how to capture the exact environmental context, calculate statistical success rates, and package raw payloads into automated evaluation scripts that engineering teams can seamlessly integrate into their CI/CD pipelines.

## Lessons

1. Why Reproducibility is Harder with Non-Deterministic Systems (30 min)
2. Documenting a PoC That Still Holds Up on Re-Test (30 min)

## Related

- [Learning path: AI Red Team Reporting and Responsible Disclosure](https://codelivly.com/learning-paths/ai-red-team-reporting-responsible-disclosure)
- [All rooms](https://codelivly.com/rooms)