ChatSmart – Intelligent Multi-Model AI Chat Platform
Portfolio chat cockpit I use daily to compare models
Media & Demos
Prompt Engineering Flow
Role
Creator / Full-Stack Engineer
Period
2024 – Present
Category
ai
Overview
A portfolio-grade AI chat platform I use myself to compare and orchestrate responses across multiple LLM providers. It includes pluggable adapters (OpenAI GPT-4, Perplexity Sonar), a synthesis engine, reasoning mode, and comprehensive error handling, but it has not been released to external users yet.
Key Highlights
- Multi-model support with OpenAI GPT-4 and Perplexity Sonar adapters
- Advanced synthesis engine with token-frequency, summarization, and score-based blending
- Reasoning mode with step-by-step thinking visualization
- Production-ready auth with JWT, rate limiting, and response caching
- Full test coverage and comprehensive error handling
Tech Stack
Summary
On-page overviewThis is a concise summary of the challenges, solution, and outcome for this project. Use the Case Study button above for the full deep dive.
The Problem
I needed a reliable cockpit to compare GPT-4, Claude, and Sonar outputs for my own work, but existing tools made reproducible prompt experiments painful.
The Solution
I built a unified interface with parallel model queries, adapter abstractions, and a synthesis engine that highlights overlap and divergence so I can dogfood ideas quickly.
The Outcome
No production users yet; ChatSmart serves as my daily driver, keeps experiments reproducible, and stays ready for future client demos.
Team & Role
I owned the stack end-to-end with a short design consult. I keep iterating to make it 'invincible' before inviting anyone else in.
What I Learned
This project deepened my understanding of Python 3.11+ and FastAPI and reinforced best practices in system design and scalability. I gained valuable insights into production-grade development and performance optimization.