Council LogoCouncil
AI Glossary

What is AI Orchestration?

Coordinating multiple AI models to work together for better results.

By Council Research TeamUpdated: Jan 27, 2026

Definition

AI orchestration involves using multiple AI models in concert, routing tasks to the best model for each job, and combining their outputs. This approach leverages each model's strengths while mitigating individual weaknesses. Council is an example of AI orchestration.

Examples

1Council querying multiple AIs simultaneously
2Using Claude for writing + Perplexity for research
3Routing coding questions to DeepSeek

Why It Matters

No single AI is best at everything. Orchestration helps you get the best results by using the right tool for each task.

Related Terms

Large Language Model (LLM)

An AI system trained on vast text data to understand and generate human-like text.

AI Agent

An AI system that can autonomously perform tasks, make decisions, and take actions.

Common Questions

What does AI Orchestration mean in simple terms?

Coordinating multiple AI models to work together for better results.

Why is AI Orchestration important for AI users?

No single AI is best at everything. Orchestration helps you get the best results by using the right tool for each task.

How does AI Orchestration relate to AI chatbots like ChatGPT?

AI Orchestration is a fundamental concept in how AI assistants like ChatGPT, Claude, and Gemini work. For example: Council querying multiple AIs simultaneously Understanding this helps you use AI tools more effectively.

Related Use Cases

Best AI for Business

AI Models Using This Concept

ClaudeClaudeChatGPTChatGPTGeminiGemini

See AI Orchestration in Action

Council lets you compare responses from multiple AI models side-by-side. Experience different approaches to the same prompt instantly.

Browse AI Glossary

Large Language Model (LLM)Prompt EngineeringAI HallucinationContext WindowToken (AI)RAG (Retrieval-Augmented Generation)Fine-TuningTemperature (AI)Multimodal AIAI Agent