Discover how encapsulating business logic into single-purpose, atomic actions is the key to building scalable, reliable, and intelligent AI-powered automations on the .do platform.
We compare traditional serverless functions with purpose-built atomic actions, highlighting the advantages of .do for state management, observability, and seamless composition in agentic systems.
Learn how to create a practical customer onboarding workflow by composing several atomic actions, from creating a user in your database to sending a welcome email via a third-party API.
Explore the architectural shift towards composable, atomic actions and how this 'Business as Code' approach leads to more maintainable, scalable, and agile automation.
An AI agent is only as good as its tools. Learn how to equip your agents with a robust library of atomic actions they can use to interact with APIs, databases, and other services.
A technical guide for developers on best practices for designing atomic actions, including how to handle typed inputs, manage API keys securely, and leverage runtime context.
See a real-world example of how action.do simplifies third-party integrations by creating a single, reusable action to process a payment and post a notification to Slack.
Move beyond scripts and spreadsheets. We discuss the philosophy of 'Business as Code' and how action.do allows you to codify, version, and scale your operational logic.
Use action.do to create modular, testable, and reliable data processing pipelines. Learn how to build actions for data validation, transformation, and enrichment.
Explore the software design principle of single responsibility and how its application in action.do leads to enhanced observability, fault isolation, and easier debugging for your services.