I build custom AI features from scratch in TypeScript with evaluation and quality assurance built-in from day one, delivering production-ready code in 8 weeks. The development can be done as an isolated microservice or directly within your existing codebase, depending on the level of access you're comfortable providing.

What makes this unique: I also use a proven MCP (Model Context Protocol) approach for feature validation - first building MCP adapters that let you test new functionality directly in Claude/ChatGPT. This means you get to test out the actual feature before we commit to a frontend and lock things in - you can play around with producing the result of the feature while we're building it. This helps us smooth off any rough edges and deliver a better final product in the same amount of time.