How do I give an AI agent deterministic tools it can call?
Put the process in sourcesteps and decisions declared
#The question
When someone asks "How do I give an AI agent deterministic tools it can call?", they want a repeatable path from definition to running system. Swirls gives you one: .swirls files describe the system, and git push or swirls deploy ships it to Swirls Cloud.
#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.
You control the inputs and outputs of every node. The reasoning layer is small and explicit, and the execution around it is deterministic and inspectable.
