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How to add multi-model AI review to every pull request with Juror

Install the Juror workflow so each PR gets parallel reviews from several models merged into one report.

Short answer: Export your key with export JUROR_OPENAI_API_KEY=…; then run npx juror-ai init --set-secrets in the repository; Or preview changes first with npx juror-ai init --dry-run. All steps.

Credentials. Provider keys are stored as GitHub secrets; the workflow skips fork PRs so the keys are not exposed to outside code.

Who it is forA team lead who wants AI code review without paying for a hosted review seat per developer.

The problemA single AI reviewer is one opinion and can be confidently wrong.

The outcomeA posted PR review with merged findings, a merge score and a cost receipt.

What you need first

  • A GitHub repository with Actions
  • Provider API keys such as OpenAI and Fireworks
  • GitHub CLI for setting secrets

Steps

  1. Export your key with export JUROR_OPENAI_API_KEY=…
  2. Run npx juror-ai init --set-secrets in the repository
  3. Or preview changes first with npx juror-ai init --dry-run
  4. Open a pull request and read the posted review

Prompt for your agent

Set up Juror-AI/juror in <repo> with `npx juror-ai init --dry-run`, then `npx juror-ai init --set-secrets`. Open a test PR and confirm the review includes a merge score and a cost receipt.

Caveat. The sample workflow only reviews PRs from the same repository, so fork contributions are not reviewed automatically.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for Juror-AI/juror and "Add multi-model AI review to every pull request"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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Third-party repos we don't own. AI-written use cases can be wrong. Disclaimer