Inspiration
Email overload is a real problem. Important messages get buried, and responding takes time and mental effort. We wanted to build something that doesn’t just summarize emails, but actually acts like an assistant — understanding context and helping you reply faster.
What it does
Email Copilot is an AI-powered Gmail agent that:
- Summarizes emails within a selected time range
- Extracts key insights and priorities
- Generates context-aware reply drafts
- Helps users quickly understand and act on their inbox
Instead of reading every email, users get a clean, actionable overview.
How we built it
We built Email Copilot using:
- Gmail API for fetching email data
- A backend (Node.js / Express) to process and structure emails
- AI models (via API) to summarize content and generate replies
- A frontend interface (React / Next.js) for user interaction
The system processes raw email threads, cleans and formats them, then sends them to the AI model for summarization and response generation.
Challenges we ran into
- Handling messy email threads and inconsistent formats
- Keeping summaries concise but still informative
- Generating replies that feel natural and context-aware
- Managing API latency and response time
Accomplishments that we're proud of
- Built a working end-to-end AI email agent in a short time
- Achieved high-quality summaries that actually reduce reading time
- Generated replies that are usable with minimal editing
- Designed a clean and intuitive user experience
What we learned
- Structuring input data is just as important as the model itself
- Prompt design significantly affects output quality
- Building AI agents requires both engineering and UX thinking
- Real-world data (like emails) is much messier than expected
What's next for Email Copilot
- Smarter prioritization (urgent vs non-urgent emails)
- Personalized tone and writing style
- Full automation (auto-draft or auto-send with approval)
- Integration with other platforms (Slack, iMessage, etc.)
Built With
- minimax
- trae
- typescript
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