The Council.
Multi-model deliberation ensures build integrity by requiring consensus between the world's most capable AI models before a decision is finalized.
Multi-Model Consensus
Standard AI tools rely on a single model, which is prone to hallucinations and architectural bias. AGI-HIVE's Council layer runs every critical decision through multiple models simultaneously to reach a defensible result.
Claude 3.5 Sonnet
"The Architect"
Focuses on structural integrity, feasibility, and clean abstractions.
GPT-4o
"The Pragmatist"
Focuses on implementation speed, edge cases, and standard patterns.
Gemini 1.5 Pro
"The Analyst"
Focuses on data patterns, scale optimization, and context retrieval.
Session Modes
Parallel Consensus
Models work in isolation. Consensus is reached when a majority agree on the implementation logic without being influenced by each other's reasoning.
Model Debate
Models review each other's outputs, identifying flaws and iteratively refining the solution until the most optimal path emerges.
When to invoke Council?
- Before merging high-risk security patches
- When refactoring core database schemas
- To solve complex architectural bottlenecks
- When Evidence Ledger scores start to drop
- Deciding between conflicting technical paths
- Finalizing project 'done' definitions