In Development

AI Project Manager

An agentic AI that actively participates in your project lifecycle

FastAPIReactTypeScriptPostgreSQLTailwindCSSOpenRouter API

Overview

Unlike traditional project management tools where AI is bolted on as an afterthought, this system features an agentic AI that actively participates throughout all project phases - from initiation to closing. Built on PMI (Project Management Institute) best practices.

Philosophy

The AI isn't just an advisor - it's a team member that watches your project and takes action (with your permission). It bridges the gap between passive dashboards and active project assistance.

Key Features

Agentic AI ("See and Do")

  • Sees: Continuously monitors project health - overdue tasks, high-impact risks, stakeholder engagement gaps, timeline issues
  • Does: Proposes concrete actions (create tasks, update risks, draft communications) with clear reasoning
  • Human-in-the-loop: All AI-proposed actions require user approval before execution

Project Management Foundation

  • Multi-tenant architecture with role-based access
  • Full project lifecycle management (Initiation → Planning → Execution → Monitoring → Closing)
  • Task management with dependencies and assignments
  • Risk register with probability/impact scoring
  • Stakeholder management with power/interest grid

Chat-Based Interaction

  • Natural language interface to query project status
  • AI generates observations and recommendations in real-time
  • Users can approve, reject, or modify proposed actions directly in chat

Tech Stack

LayerTechnology
BackendFastAPI, SQLAlchemy (async), PostgreSQL
FrontendReact, TypeScript, TailwindCSS, React Query
AIOpenRouter API with configurable LLM models

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