How do I deploy an AI agent to production?

From .swirls source to running servicesruntime services active

Swirls hosts the supported App and runs the declared work behind it.

#The question

If you are asking "How do I deploy an AI agent to production?", you want this running without wiring up bespoke infrastructure. The short answer: describe the system in .swirls files, ship it with git push or swirls deploy, and Swirls Cloud runs it.

#Who's asking

Platform / infra engineer. Owns how things run in production. Cares about durability, isolation, audit, and repeatable deploys.

#Why Swirls is a fit

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.

Authoring is local and free. You write and validate .swirls files on your machine with the CLI and your editor, then deploy with git push or swirls deploy. Swirls Cloud runs the system, so there is no runtime infrastructure for you to operate.

How do I deploy an AI agent to production?

#The question

#Who's asking

#Why Swirls is a fit

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