AI Tooling & Strategy

I help teams adopt AI tooling before they fall behind. I evaluate what exists, build integrations and proof-of-concepts, and train teams to use AI tools in their daily workflows. Not theory. Hands-on.

What this looks like

Dev teams can't access live documentation inside AI coding tools

Doc-MCP: RAG server with semantic search over live docs

FastAPI, ChromaDB, OpenAI Embeddings, MCP, SSE

Shipping an app takes weeks of manual coordination

Blueprint plugin: 4 parallel AI agents, idea to App Store in 3 days

Claude Code, BrowserOS, Swift, Kotlin, Next.js

No way to test apps against Apple's 135 review guidelines

Apple Reviewer: AI agent testing on real devices via USB

Claude Code, mobile-mcp, ASC CLI

Teams don't know which AI tools to adopt or how to integrate them

Hands-on adoption: I evaluate, build POCs, and train teams on Claude Code, MCP, n8n + LLMs

Claude Code, MCP protocol, n8n, OpenAI, Anthropic

Tools I use

How I work with your team

I integrate directly with your dev team. Same tools (Git, PRs, CI/CD), same async rhythm. I evaluate AI tools by building with them first, then I create the integrations, write the docs, and help the team adopt. No slides, no strategy decks. Working code and live demos.