---
title: "Production evidence from Next.js and applied AI work"
canonical: "https://amartripathi.com/case-studies"
---

# Production evidence from Next.js and applied AI work

These case studies separate verified results, technical decisions, and project limits. They show the work behind the service claims.

Canonical page: https://amartripathi.com/case-studies

## Case studies

### [Magica AI chat platform](https://amartripathi.com/case-studies/magica-ai-chat-platform)

Magica combines model routing, streaming chat, memory, tools, generated media, and a code sandbox in one production product.

### [Next.js TTFB optimization](https://amartripathi.com/case-studies/nextjs-ttfb-optimization)

I reduced Time to First Byte by 36% after tracing slow request work and moving suitable tasks outside the response path.

### [RAG document processing](https://amartripathi.com/case-studies/rag-document-processing)

I built document-processing workflows that support large source files, multi-turn answers, and persistent conversation context.

### [Diffwise AI code review](https://amartripathi.com/case-studies/diffwise-ai-code-review)

Diffwise is my personal project for incremental AI code review across 40+ specialist agents and nine review categories.

## Related collections

- [Services](https://amartripathi.com/services)

- [Guides](https://amartripathi.com/guides)