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Case Study

ReplyGeniusAI

AI email assistant that drafts replies using smart contextual triggers.

Technologies Used

  • Next.js
  • Gemini API
  • Cloudflare Workers
  • D1 Database
1,500+Daily Messages
4 hoursWeekly User Savings
1.2sAI Response Time

ReplyGeniusAI helps freelancers and small businesses respond to client inquiries instantly. The application hooks into mail endpoints, analyzes messages using Gemini Pro, and constructs personalized email replies.

The entire backend runs on Cloudflare Workers and Hono. For data storage and caching prompt templates, I used Cloudflare's serverless SQLite engine, D1. Prompt histories are synced in real-time, allowing users to tweak generated tones.

A key challenge was avoiding hallucinations in pricing details. I resolved this by feeding a strict RAG context directly from the user's business FAQ documents. In the future, I'd support multi-modal attachments.

Inbox Copilot
client@spec.comDRAFT READY
support@firm.comNo action
replygeniusai_view_1.png
LLM Temperature
Creativity: 0.7Optimized
RAG FAQ Context Active
replygeniusai_view_2.png
Usage Analytics
4h
6h
5h
Weekly savings stats tracker
replygeniusai_view_3.png

Technical Proof

Automates email workflows with high-accuracy drafts, processing 1,500 messages daily.