AI agent orchestration.
How the steps around a model are arranged — what runs next, what is fixed in code, and what the model is allowed to decide for itself.
Questions
What is AI agent orchestration?
AI agent orchestration is the logic that coordinates models, tools and agents: what runs next, what context each step gets, and how results are checked.
What is the difference between an agentic workflow and an AI agent?
In a workflow, code fixes the steps and a model performs some of them. In an agent, the model picks its own next step. How to tell which one a task needs.
What are the main AI agent orchestration patterns?
Prompt chaining, routing, parallelisation, orchestrator-workers, evaluator-optimizer and autonomous agents: what each pattern is for and when to use it.
When is an AI agent better than traditional automation?
An AI agent beats rule-based automation when a task needs judgement, has rules too tangled to maintain, or depends on unstructured text. Otherwise, it doesn't.
Tell us what you are building.
A short brief gets you a real reply from a founder within one business day — an honest read on fit, scope, and budget.