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Glossary · Decision Intelligence

Multi-Agent AI

An AI architecture that uses multiple specialized agents — each with distinct expertise, reasoning frameworks, and objectives — to analyze problems from different perspectives rather than relying on a single model. In decision intelligence, multi-agent systems create cognitive diversity that catches blind spots, biases, and risks that any single model would miss.

An AI architecture that uses multiple specialized agents — each with distinct expertise, reasoning frameworks, and objectives — to analyze problems from different perspectives rather than relying on a single model. In decision intelligence, multi-agent systems create cognitive diversity that catches blind spots, biases, and risks that any single model would miss.

Research in collective intelligence consistently shows that diverse perspectives outperform uniform expertise.

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Multi-LLM architecture explained

Related Terms & Resources

Model Fingerprint

The unique pattern of strengths, weaknesses, biases, and reasoning tendencies that characterize eac…

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Monte Carlo Simulation

A computational technique that estimates the distribution of possible outcomes for a decision by ru…

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Multi-LLM Architecture

An AI system architecture that uses models from multiple providers (e.g., OpenAI, Anthropic, Google…

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OKRs vs KPIs

Two complementary measurement frameworks often confused or conflated. KPIs (Key Performance Indicat…

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OODA Loop

A decision cycle developed by U.S. Air Force colonel John Boyd consisting of four phases: Observe,…

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Decision Intelligence Guide

The complete guide to AI-powered strategic decisions.

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Meet the Synths

24 AI advisors, each with a distinct perspective.

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Run a Boardroom session free. Twenty-four AI advisors, structured disagreement, and a synthesized recommendation in under 90 seconds.

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