Explore the concept of atomic actions and understand why breaking down complex processes into single, indivisible tasks is fundamental for building reliable and scalable automation.
Learn how to transform a simple function into a fully managed, observable, and resilient service. We'll guide you through wrapping your code in action.do for enterprise-grade execution.
Discover how atomic actions serve as the essential tools for AI agents, allowing them to execute precise tasks, learn from outcomes, and build complex behaviors reliably.
A head-to-head comparison between traditional serverless functions and managed atomic actions. Understand the key differences in state management, retries, and observability.
Move beyond theory and learn how to model your core business operations as a series of executable actions. Turn your business logic into a version-controlled, scalable asset.
Prevent duplicate transactions and ensure data consistency in your workflows. This technical deep dive explains how action.do simplifies implementing idempotent operations.
From transient network errors to API rate limits, we identify the top 5 reasons workflows fail and show how action.do's built-in resilience features provide the solution.
A step-by-step tutorial on wrapping a third-party API (like Stripe or Twilio) into a reusable, secure, and managed atomic action for your entire organization to use.
Go beyond `console.log`. Learn how to leverage the rich logging, tracing, and monitoring capabilities of the .do platform to gain full observability into every action you execute.
Learn the design patterns for composing simple, atomic actions into sophisticated and robust workflows that can handle multi-step processes with ease and clarity.