Discover how defining projects as code enables AI agents to automate execution, turning static plans into dynamic, version-controlled workflows.
Learn how our autonomous AI agents interpret your project definitions to execute tasks, manage dependencies, and drive projects to completion without manual oversight.
Stop selling hours and start delivering results. A step-by-step guide to wrapping complex project delivery into a simple, on-demand API call.
Explore the paradigm shift from passive tracking tools to an active, API-driven execution engine that transforms how complex projects are managed and delivered.
Bridge the gap between code deployment and project completion. Learn to integrate projects.do with GitHub, Jira, and Slack for true end-to-end automation.
Move beyond human-readable to-do lists. We break down how to structure tasks as executable functions that AI agents can understand and act upon.
Define success criteria like 'User Adoption Rate > 15%' directly in your project spec, and let AI agents track and optimize for the metrics that matter.
Go beyond simple task automation. Learn how modeling entire business processes as code gives you unprecedented control, scalability, and intelligence.
Which project approach is more efficient? With projects.do, you can run experiments on your workflows to find the most effective path to your goals.
What happens when an automated task fails? See how projects.do agents diagnose issues, retry operations, and intelligently escalate problems to ensure your projects don't stall.