Panel Review
Guardian agent for AI's highest-stakes coding decisions
Panel Review by TruVerifAI is the guardian agent for AI's highest-stakes coding decisions. In a nutshell: when an AI coding agent is about to make a risky change, Panel Review puts that change in front of four independently trained frontier models from OpenAI, Anthropic, Google, and xAI. The models review it independently, argue out their disagreements, and return severity-tagged findings before the code ships.
Install: "npx @truverifai/init - under a minute, 50 free credits, fully undoable."
Setup: https://truverif.ai/settings/mcp#setup
Features
- Four-vendor deliberation on designs, diffs, and commits, with cross-examination on the exact points where the models disagree.
- Local review gates the agent cannot silently skip on high-risk changes, with a full release ladder for false positives and genuine exceptions.
- Runs across eight certified agent surfaces; any other MCP client gets the tools plus a git pre-commit fallback.
- Privacy by design: risk classification is 100% local, and what leaves your machine is a hashed fingerprint, content hashes, and category labels, never your source code or file paths.
- Bring Your Own Keys and Bring Your Own Models: seat your own or self-hosted models alongside the frontier panel, or route inference through your own cloud account.
Use Cases
- Gate an AI coding agent's riskiest changes: auth, payments, migrations, and deleted safety controls get a four-model review before the write or commit happens
- Catch what a single-model reviewer misses: four independently trained models from four vendors argue out disagreements, so findings do not share the author model's blind spots
- Protect production from autonomous agents: hard review floors the agent cannot silently skip, with a logged human-visible override as the only path through
- Define custom risk floors per repo: tax rules, pricing math, dosing logic, or whatever your codebase considers catastrophic, in one committed config file
- Review before the PR exists: agents often write and commit before a human opens a pull request; the gate fires inside the agent loop, upstream of PR-stage tools
- Give vibe coders a senior reviewer: solo builders shipping with Claude Code or Cursor get independent judgment on code they cannot fully evaluate themselves
- Audit high-stakes decisions beyond diffs: designs and architecture choices can be panel-reviewed before the agent executes them
- Second opinions on demand: a fast multi-model synthesis when you want a cheap sanity check instead of a full review
Comments
Hi, I'm Vivek, founder of TruVerifAI. Panel Review started with a simple question: if an AI wrote the code, why would you trust one AI to review it? A single reviewer often shares blind spots with the model that wrote the change. So we use four frontier models from four different companies: OpenAI, Anthropic, Google, and xAI. Each reviews independently, and where they disagree they argue it through, so a finding survives cross-examination instead of being one model's opinion. In our own production use, no single model caught everything; the panel did noticeably better. The client is open source and MIT licensed, setup is npx and about a minute, and 50 credits are free for life. How do you review what your agents write today? Ask me anything, including the uncomfortable questions.
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Comments
Hi, I'm Vivek, founder of TruVerifAI. Panel Review started with a simple question: if an AI wrote the code, why would you trust one AI to review it? A single reviewer often shares blind spots with the model that wrote the change. So we use four frontier models from four different companies: OpenAI, Anthropic, Google, and xAI. Each reviews independently, and where they disagree they argue it through, so a finding survives cross-examination instead of being one model's opinion. In our own production use, no single model caught everything; the panel did noticeably better. The client is open source and MIT licensed, setup is npx and about a minute, and 50 credits are free for life. How do you review what your agents write today? Ask me anything, including the uncomfortable questions.
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