Our Project
We set out to make communication easier for students, whether it’s starting a conversation, keeping it going, or following up. From setting up a coffee chat on LinkedIn to chatting on Tinder, our tool acts as a wingman for better messaging. Built as an all-in-one web app that unifies all your social platforms, it features AI chat summaries, assistants for both casual and professional replies, and textual and voice automation for drafting and sending messages.
What we learnt
- Hands-on experience using Windsurf and developing better prompt engineering skills
- Practical strategies for handling merge conflicts in collaborative development
- An appreciation for modularity, dividing workflows across specialized AI agents instead of relying on a single assistant
How we built our project:
- Combined specialized AI agents: an AI summarizer, assistants for casual and work-related replies, and automations for drafting and sending messages.
- Primary Tech stack: TypeScript, Beeper API, and Cohere API, VAPI
- Consolidated all social media platforms into one web app for ease of use
Challenges we faced:
- Merge conflicts slowed development and required better team coordination
- Fine-tuning prompts for different tones (casual vs. professional) took significant iteration
Built With
- beeperapi
- cohereapi
- javascript
- next.js
- node.js
- react
- tailwindcss
- typescript
- vapi


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