Move beyond single tasks. Learn how to chain together atomic actions, conditional logic, and human approvals to model and automate complex business processes from end to end.
Turn your Python, TypeScript, or Go code into a scalable, secure, and reusable action. Discover how function.do provides a serverless environment for your unique business logic.
Give your AI a toolkit for action. This guide walks you through creating an autonomous agent that can reason, plan, and execute multi-step workflows using the .do platform.
Stop writing boilerplate API code. Leverage the .do marketplace of pre-built actions to securely connect to your favorite third-party services in minutes, not weeks.
What if your company's operating manual was executable and version-controlled? Explore the core concepts of Business as Code and how it transforms operations into a competitive advantage.
Unlock the value of your data. Learn how to connect .do to Snowflake, BigQuery, or Postgres to initiate and enrich workflows based on real-time events and business intelligence.
Failures happen. Prepare for them. A deep dive into how the .do platform uses idempotency keys, automatic retries, and dead-letter queues to ensure your workflows are resilient and reliable.
Some decisions need a human touch. Learn how to design workflows that pause for manual approval, data entry, or review, creating a powerful fusion of machine efficiency and human expertise.
Are atomic actions the new microservices? We compare the two architectural patterns and show how .do can simplify development, reduce overhead, and increase observability for your backend services.
Don't just guess what's better—prove it. Learn how to run controlled experiments on your workflows to optimize conversion rates, reduce costs, or improve customer satisfaction with statistical certainty.