Documentation
Consensus Profiles
Intelligent model selection for hard problems that need multi-AI debate
← Back to DocumentationIndustry First: Benchmark-driven model selection powering multi-AI consensus—updated daily
When to Use Consensus
Consensus is for hard problems requiring multi-AI debate—not everyday coding.
Single AI Response
Best for quick questions, simple tasks, and known patterns
- One perspective
- Single point of failure
- Model-specific biases
- May miss edge cases
- "Sounds right" answers
Use integrated CLI tools: Claude Code, Gemini, Grok, etc.
Consensus (4 AI Models)
Best for complex decisions, security-critical code, and production deployments
- Multiple perspectives
- Cross-validated answers
- Bias cancellation
- Comprehensive coverage
- Debate-tested conclusions
Select a Consensus Profile matched to your problem type
The 8 Consensus Profiles
Each profile assembles the optimal combination of AI models for a specific type of hard problem. Select the profile that matches your challenge.
Architecture Decision
Debate system design and architectural tradeoffs with elite reasoning models.
Use when:
- •Designing new systems or major features
- •Choosing between architectural patterns
Example:
"Should we use microservices or a modular monolith?"
Security Audit
Multiple AI models analyze code for vulnerabilities and security threats.
Use when:
- •Reviewing authentication/authorization implementations
- •Analyzing data handling and privacy compliance
Example:
"Is this JWT authentication secure against known attacks?"
Root Cause Analysis
Debugging specialists investigate complex issues systematically.
Use when:
- •Debugging mysterious bugs that defy explanation
- •Investigating intermittent failures or race conditions
Example:
"Why does this API timeout only in production under load?"
Code Quality Review
Elite coding models debate code quality and best practices.
Use when:
- •Reviewing pull requests for quality and maintainability
- •Making refactoring decisions
Example:
"Is this abstraction the right level for this module?"
Production Readiness
Validate code is ready for production deployment.
Use when:
- •Pre-deployment reviews and go/no-go decisions
- •Rollback planning and risk assessment
Example:
"Is this feature ready for production deployment?"
Technical Research
Deep dive into complex technical topics with web access for current information.
Use when:
- •Researching new technologies or frameworks
- •Comparing libraries or tools for a use case
Example:
"What are the tradeoffs between Rust and Go for our WebSocket backend?"
Compare & Decide
Weigh technical tradeoffs and make informed decisions.
Use when:
- •Choosing between competing options
- •Evaluating buy vs. build decisions
Example:
"Should we use PostgreSQL or MongoDB for this use case?"
Expert Consultation
Elite AI panel for the most complex challenges.
Use when:
- •Facing the hardest problems needing multiple expert perspectives
- •Making decisions with significant long-term impact
Example:
"How should we architect for 10M concurrent users?"
How Consensus Works
Generator
Refiner
Validator
Curator
Powered by 9 authoritative benchmark sources (7 ground-truth, 2 preference)