AI Orchestration
Coordinating multiple AI models, tools, and workflows into a unified system
What is AI Orchestration?
The layer that coordinates which model handles which task, when to call external tools, how to pass context between steps, and when to loop or stop. Orchestration is what turns individual AI capabilities into a reliable production system. Think of it as the conductor, not the musicians. The models are commodities — the orchestration logic is where the actual competitive advantage lives.
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In plain words
"Think of it like an air traffic controller — routing, sequencing, and monitoring multiple AI systems."
How it works
Key takeaways
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Routes tasks to the right model at the right time
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Manages context, retries, and fallbacks
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Key infrastructure for production AI systems
Real-world example
Your app receives a user request. The orchestrator decides: route to a fast cheap model for simple queries, a reasoning model for complex ones, and a specialized model for code. It manages context, retries, and fallbacks automatically.
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