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Refine product specifications through multi-model debate until consensus is reached.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "adversarial-spec" yet — see the docs or source repo.
Use adversarial-spec to review this draft PRD. Have multiple models debate the target users, core flows, edge cases, and acceptance criteria, then iterate until consensus is reached and output a revised specification with rationale.
A more complete, less ambiguous revised PRD plus a summary of key changes.
Analyze the following feature specification. Organize multiple models to debate from the perspectives of business goals, technical feasibility, failure scenarios, and dependencies, identify conflicting or unclear items, and provide unified fixes after consensus.
A list of conflicts, risk notes, and consensus-based revision recommendations.
Based on this product idea, use adversarial-spec to have multiple models repeatedly debate user stories, feature scope, non-functional requirements, and acceptance criteria until opinions converge, then produce a final spec ready for design and engineering teams.
An actionable final product specification with clear scope, detailed requirements, and acceptance criteria.
Run multi-round Claude-GPT debates for automated code critique and verification.
Collaborate with Claude and GPT to review plans and iteratively refine code execution.
Turn approved specs into autonomous long-running implementation workflows and code output.
Scan LLM apps for security flaws and return prioritized vulnerability findings.
Review system designs from six critical perspectives and produce unified risk assessments.
Run multi-agent debates and produce consensus recommendations with ranked options.