How do I build a workflow that an AI agent can invoke as a tool?

Put the process in sourcesteps and decisions declared

Keep the trigger, action, failure policy, and review point in one project.

#The question

"How do I build a workflow that an AI agent can invoke as a tool?" has a short answer: make the agent a deployable artifact. With Swirls you declare it in .swirls files, deploy with git push or swirls deploy, and the hosted runtime takes over.

#Who's asking

Forward-deployed / solutions engineer. Tasked with standing up custom agent logic per customer or per org, comfortable in a terminal and IDE.

#Why Swirls is a fit

Agents call deterministic workflows as tools. Each node has a typed input and output schema, so tool execution is scoped, repeatable, and auditable instead of free-form model output.

Swirls makes the agent a deployable artifact. You describe agents, workflows, tools, triggers, schedules, and secrets in .swirls files, then ship them with git push or swirls deploy. DSL in, running system out.

How do I build a workflow that an AI agent can invoke as a tool?

#The question

#Who's asking

#Why Swirls is a fit

Add the people, data, authority, and decisions around this job.