AI Feature Development (Typescript)

Starting at

$

22,500

About this service

Summary

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.

What's included

  • Source Code & Implementation

    Complete, production-ready AI feature code that can be deployed as either a standalone microservice or integrated directly into your existing codebase. You get full ownership of all code, documentation, and deployment configurations, with architecture designed for scalability and maintainability.

  • Comprehensive Test Suite

    A complete testing framework covering your AI feature with integration tests, unit tests, and end-to-end tests as appropriate for your specific implementation. The test suite ensures reliability across different scenarios and provides confidence for future updates and deployments.

  • AI Feature Evaluation Report

    A detailed assessment of your new AI feature's performance, including the custom grading criteria we develop together throughout the project and final evaluation scores across all quality metrics. Since this is a new feature, all test data will be synthetically generated for baseline testing, but I will work closely with you to ensure the test scenarios are as representative of real-world edge cases as possible. This report serves as your baseline for ongoing performance monitoring and future improvements.


Duration

8 weeks

Skills and tools

Engineering Manager

AI Developer

AI Engineer

Claude

Claude

Google Gemini

Google Gemini

Industries

Artificial Intelligence
Computer Software
IT Infrastructure