Orchestration in Practice: Stack, Prompts and Use Cases
Coordinating multiple AI models, tools and steps into a single reliable workflow. This guide pulls together everything on Onexial tagged orchestration — 6 connected nodes across definitions, workflows, tool stacks, comparisons, prompts and applied use cases — and orders it the way you would actually learn it: vocabulary first, then process, then tooling, then execution. Every item below links to a full node with its own examples and connections, so you can go as deep as you need without losing the map.
Core concepts behind Orchestration
Before wiring anything together, the vocabulary has to be precise. These 3 definitions cover the terms that show up in almost every Orchestration discussion — each one links to a full entry with an example and its own connections inside the graph.
AI Orchestration
Coordinating multiple AI models, tools and steps into a single reliable workflow.
Multi-Agent System
A multi-agent system splits a job across several specialised AI agents that coordinate through a shared plan, message bus or orchestrator.
Agent Handoff
Agent handoff is the controlled transfer of a task — with its context — from one agent to another agent or to a human.
Workflows: how Orchestration runs end to end
Concepts only matter once they become a repeatable process. Below are 1 documented workflows that apply Orchestration to a concrete problem, with the steps, the tools involved and the variations worth testing.
The Orchestration tool stack
A stack is a set of tools chosen for one job, not a list of favourites. These 1 stacks show which combinations hold up in production for Orchestration, and what each layer is actually responsible for.
Prompts you can reuse
Prompts are reusable components. Each of these 1 prompts is written to be dropped into a Orchestration workflow with minimal editing, including the context it expects and an example output.