How do I turn my AI agent prototype into something I can actually run in production?

From .swirls source to running servicesruntime services active

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

#The question

"How do I turn my AI agent prototype into something I can actually run in production?" 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

App developer using an AI SDK. Already calling an LLM from app code. Prompts, tools, and sessions are scattered across the codebase.

#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.

Your app becomes a thin consumer: a session id, a trigger, a response. Prompt assembly, tool calls, schedules, and audit move out of application code and into a deployed Swirls project.

How do I turn my AI agent prototype into something I can actually run in production?

#The question

#Who's asking

#Why Swirls is a fit

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