Case Study · 2025
AI · Conversational
PhraseCraft AI
Next.jsTypeScriptLLM APIs
01 The Problem
Most language tools drill flashcards but never give learners a safe place to actually converse. Confidence comes from speaking — exactly what traditional apps skip.
02 The Solution
A conversational AI experience that crafts phrases in context, responds naturally and gives gentle, contextual feedback. A typed front end drives an API that orchestrates LLM calls into a smooth back-and-forth.
03 What it does
- Conversational AI practice partner
- Context-aware phrase crafting
- Natural, low-pressure dialogue
- Typed Next.js front end
- API-orchestrated LLM calls
- Deployed on Vercel
04 Architecture
01
Client
Next.js + TypeScript conversational UI
02
API
ASP.NET Core service orchestrating prompts
03
Intelligence
LLM APIs for generation & feedback
04
Delivery
Vercel edge deployment
05 Results
AI
Conversational core
Live
Public product
Context
Aware feedback
OSS
API on GitHub
06 Stack
Next.jsTypeScriptLLM APIsASP.NET CoreVercel