Project management is broken. We spend more time in status meetings, updating Gantt charts, and chasing down dependencies than we do actually doing the work. Traditional project management tools act as passive databases—digital filing cabinets where plans go to become outdated. They are systems of record, not systems of execution.
What if you could change that? What if you could define a project's entire lifecycle—its goals, tasks, dependencies, and stakeholders—in a structured format and hand it off to an intelligent agent to execute?
Welcome to projects.do. We're transforming project management from a manual, administrative chore into a dynamic, automated workflow. This is Agentic Project Management, and it's powered by code.
Think about your last complex project. How much of the "management" involved repetitive, low-value tasks?
In this model, the project manager acts as a human CPU, constantly polling for information and routing it to the right place. It's inefficient, error-prone, and it doesn't scale.
We believe in a better way: Projects as Code.
Similar to how Infrastructure-as-Code (IaC) revolutionized cloud management, Projects-as-Code treats your project plan as a definitive, machine-readable specification. You define the what and the why, and our AI agents handle the how and the when.
This shifts project management from a passive system of record to an active system of execution. Your project plan is no longer a static document; it's a living, breathing workflow that our agents bring to life.
At the heart of projects.do are AI agents that interpret your project specification and drive it to completion. They manage the entire lifecycle, automating resource allocation, monitoring progress, managing dependencies, and communicating with stakeholders.
Let's see what this looks like. Instead of creating a dozen cards on a Kanban board, you define your project declaratively.
import { Agent } from 'projects.do';
const projectAgent = new Agent();
// Define the project as a declarative spec
const newProject = await projectAgent.create({
name: 'Q4 Product Launch',
description: 'Coordinate all activities for the new feature launch.',
owner: 'product.team@example.com',
status: 'planning',
dependencies: ['legal.review.completed', 'dev.sprint.finalized'],
goals: [
{ metric: 'User Adoption Rate', target: '15%' },
{ metric: 'Launch-Day Signups', target: 10000 }
]
});
// Execute the workflow
await projectAgent.start(newProject.id);
Let's break this down:
This is the foundation of AI Project Management: an automated, intelligent system that executes your strategic plans with precision.
Once your projects are defined as code, they become composable, repeatable assets. This allows you to move beyond project management and into Business-as-Code. With our API-first approach, you can deliver any complex project as an on-demand service.
Imagine the possibilities:
When your workflows are available via an API, you can integrate them with any tool in your stack—from CRMs and ERPs to Slack and GitHub—creating a truly automated workflow ecosystem.
Traditional project management tools helped us organize our thoughts. Agentic Project Management helps us execute them.
| Traditional Tools (Jira, Asana, Monday) | projects.do |
|---|---|
| Passive System of Record | Active System of Execution |
| Requires constant manual updates | Automates execution and status reporting |
| Focuses on tracking individual tasks | Manages the end-to-end workflow based on goals |
| Siloed information | Integrates with any tool via a Project API |
| The PM is the CPU | The AI Agent is the CPU |
Stop being the human glue holding your projects together. It's time to let intelligent, automated agents do the heavy lifting.
Ready to transform your project management into executable code? Explore projects.do today and hire your first AI project manager.