PA-PVP Mini is a structured review protocol that you activate inside any AI chat session. It instructs the AI to act as an adversarial reviewer — finding gaps, weak logic, missing constraints, and shaky fixes in whatever you submit. No praise, no style polish: just concrete problems with structural fixes.Documentation Index
Fetch the complete documentation index at: https://mintlify.com/XxYouDeaDPunKxX/PA-PVP-mini/llms.txt
Use this file to discover all available pages before exploring further.
Quickstart
Get your first adversarial review in under two minutes.
When to Use It
See which artifacts benefit most from adversarial review.
Two-AI Ping-Pong
Run alternating review passes across two independent AI chats.
Protocol Reference
Explore all input blocks, output fields, and review rules.
How it works
PA-PVP Mini gives any AI chat a strict behavioral contract. You paste the protocol text into a session, then submit your artifact. The AI returns a structured list of findings — each one anchored to your material, assigned a severity, and paired with a concrete fix.Download the protocol
Grab
pa_pvp mini v2.3.txt from the GitHub repository. This is the single file that powers everything.Activate in your AI chat
Paste the protocol text into a new chat session (or upload the file if the platform supports attachments). The AI is now operating under the adversarial review contract.
Receive structured findings
The AI returns Round 1 — a list of findings with severity levels, evidence anchored to your artifact, and a concrete fix for each problem.
What makes it different
No praise, no fluff
The protocol explicitly prohibits narrative commentary and encouragement. Every output item must be observable, specific, and actionable.
Every finding has a fix
A finding with no valid structural fix is excluded. You never receive a problem without a path to resolving it.
Provenance tracking
Finding IDs, fix IDs, and
derived_from links trace each issue across multiple review rounds.PA-PVP Mini does not prove that something is correct. It is a review aid, not an authority. The quality of findings depends on the AI model reading the protocol. Read the Limits and Caveats page before relying on it for high-stakes decisions.