Inspiration
Our journey began with a desire to push the boundaries of what our current AI agent, Finn, could do. While Finn was already a competent and reliable assistant, we saw potential for it to become faster, more context-aware, and better at understanding nuanced instructions. Inspired by the rapid advancements in natural language understanding and user-agent interaction, we set out to design an upgraded version—Finn on steroids.
What it does
With Finn on steroids, we’ve taken a significant step toward building a more intelligent, helpful, and personable AI agent. While there's always room to grow, we’re proud of what we’ve accomplished—and excited for what's next.
How we built it
Frontend: React, TypeScript, Tailwind CSS
Backend: Node.js, Express
Database: PostgreSQL with Drizzle ORM
AI Integration: NVIDIA AI API
Speech Recognition: Web Speech API
Deployment: AWS
Challenges we ran into
The importance of multi-modal context integration (combining text, code, and visual inputs). Finding the perfect idea.
Accomplishments that we're proud of
Seeing how the vague vision we had at the start came to a standing product.
What we learned
How to build an end-to-end application. Work productively with AI agents by prompt engineering. Working with bunq API.
What's next for BunqHackathon - Finn on steroids
Refining the product so it can be deployed in production. Adding more feature to make Finn stronger and customer experience easier.
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