My assistant

Tell the AI any task, from "Check Pittsburgh weather" to "Track BTC." Group them into Scenarios to automate your entire routine. One click triggers a custom, AI-driven briefing of your day.

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Inspiration

The project was born from a simple realization: AI has fundamentally changed the barrier to entry for complex automation. Historically, building a multi-tool assistant required dozens of specific backend APIs, brittle integrations, and thousands of lines of "glue code." Today, the power of Large Language Models means that what used to require a massive engineering team can now be achieved through stable, natural language user instructions. I wanted to harness this power to create an app where the "Scenario" isn't just a script, but an intelligent execution of any task a user can dream up.

How I Built It

The development process was surprisingly streamlined, thanks to a modern tech stack that feels like a "cheat code" for solo developers:

  • Flutter: Used for the frontend. Even for those unfamiliar with it, Flutter makes building a high-performance, beautiful mobile UI incredibly accessible.
  • Serverpod: This served as the backbone. It handled the heavy lifting of the backend infrastructure, allowing me to focus on logic rather than boilerplate.
  • Cursor: I utilized the Cursor AI editor to accelerate the coding process.

The synergy between these tools meant that Cursor plus Serverpod handled roughly 90% of the heavy lifting, from database migrations to code generation.

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