OrbitOS AI

Inspiration

Modern teams spend countless hours in meetings, but the valuable outcomes often get lost in scattered notes, forgotten action items, and disconnected tools. We wanted to solve this by building an AI-powered workspace that doesn't just summarize meetings—it turns conversations into structured execution plans. Our vision was to create an AI Chief of Staff that helps teams move seamlessly from discussion to delivery.

What it does

OrbitOS AI is an intelligent project workspace that transforms meeting notes into actionable work.

It automatically:

Generates executive summaries Extracts key decisions, risks, and next steps Breaks large ideas into structured engineering tasks Allows managers to review, select, and assign tasks to team members Converts AI-generated action items into trackable project tasks Manages meetings, knowledge, tasks, and workflows from one unified dashboard Provides an AI Copilot to answer project-related questions using workspace context

Instead of manually organizing meetings, OrbitOS AI lets teams focus on execution.

How we built it

We built OrbitOS AI as a full-stack AI application.

Frontend

React 19 TypeScript Vite Tailwind CSS v4 Zustand

Backend

Node.js Express 5 TypeScript Zod Validation

Database & Authentication

Supabase PostgreSQL Row Level Security Supabase Auth

AI

Groq (OpenAI-compatible Chat Completions API) Structured prompt engineering for intelligent project management

The backend processes meeting notes, sends them to the LLM, normalizes the response into structured data, and generates rich engineering tasks that managers can selectively assign before converting them into project tasks.

Challenges we ran into

Building OrbitOS AI involved several technical challenges:

Designing prompts that consistently generate structured engineering tasks instead of generic to-do lists. Making AI outputs deterministic enough for project management. Keeping the meeting lifecycle synchronized between frontend and backend. Supporting task selection and employee assignment before task creation. Maintaining clean TypeScript types while expanding AI-generated data structures. Building a secure architecture using Supabase Row Level Security and authenticated APIs.

Accomplishments that we're proud of

Built a complete AI-powered project management platform from scratch. Successfully transformed meeting notes into structured execution plans. Implemented intelligent engineering task decomposition. Added selective task conversion with employee assignment. Designed a clean, modern dashboard with an integrated AI Copilot. Created reusable export functionality for PDF, Markdown, and clipboard sharing. Delivered a production-style architecture instead of just an AI chatbot.

What we learned

This project taught us that building with AI is far more than calling an LLM API.

We learned how to:

Design reliable prompt engineering workflows Structure AI outputs for real-world applications Build secure full-stack AI systems Integrate AI into existing business workflows Balance user experience with AI capabilities Create scalable software architecture for intelligent applications

What's next for OrbitOS AI

We have an ambitious roadmap for OrbitOS AI, including:

Workflow automation engine AI sprint planning Smart employee recommendations Team announcements Real-time collaboration Slack & Microsoft Teams integration Email and push notifications Calendar integration Voice meeting transcription Knowledge search powered by vector embeddings Analytics and productivity insights Mobile applications for Android and iOS

Our goal is to evolve OrbitOS AI into a complete AI Operating System for modern teams, where meetings automatically become organized, trackable, and executable work.

Built With

• ai
• aicopilot
• express.js
• groq
• llm
• node.js
• openai
• postgresql
• productivity
• react
• saas
• supabase
• tailwind
• typescript
• vite