Tume

Feb 14, 2026
Afull-stackapplicationforcouplesfeaturingagenticAIthatprocessesvoicecommandsviaedgefunctionstoseamlesslymanagesharedtasks,notes,andmealpreps.

ProjectContext

Workplace/origination
PersonalProject

Techstack

  • React Native
  • TypeScript
  • Expo
  • Supabase
  • PostgreSQL
  • Serverless Edge Functions
  • OpenAI API
  • Speech-to-Text
Tume

AI-Powered Management App for Couples

A full-stack application featuring agentic AI that processes voice commands via serverless edge functions to seamlessly manage shared tasks, notes, and meal plans.

The Story Behind Tume

Managing daily life as a couple—juggling groceries, chores, random thoughts, and meal prep—can quickly become overwhelming. I realized that traditional to-do list apps require too much friction: opening the app, typing out details, categorizing, and assigning tasks.

I wanted something completely frictionless for my girlfriend and me.

So, I built Tume. Instead of tapping through menus, you simply speak to it. Tume uses Agentic AI to act as a personal assistant for your relationship. You just tell it to "add a note," "create a task," or "plan our meals," and the AI intelligently processes your voice, categorizes the intent, and instantly updates a shared, real-time database.

Key Features

* Voice-Activated Agentic AI: Speak naturally to the app. The integrated OpenAI API acts as an agent to determine whether you are adding a task, writing a note, or planning a meal, routing the data accordingly.

* Frictionless Task & Meal Management: Completely hands-free organization. Voice-to-text ensures you can manage shared responsibilities even when you're busy cooking or commuting.

* Real-Time Synchronization: Built on a robust PostgreSQL database, ensuring that when one partner updates a task or note, it instantly appears on the other's device.

* Serverless Architecture: Utilizes edge functions to handle complex AI processing and database routing securely and incredibly fast, without the need for a traditional backend server.

Getting Started

To run Tume on your local machine:

1. Clone this repository:

   ```bash
   git clone [https://github.com/andoniit/Tume.git](https://github.com/andoniit/Tume.git)
   cd Tume

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