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.

Process

Weeks 1-2: Discovery & Architecture
Requirements gathering and technical specification development
System architecture design (microservice vs. integrated approach based on your access preferences)
AI model selection and evaluation framework planning
Initial grading criteria development defining quality standards for your specific use case
MCP adapter development for early feature validation in Claude/ChatGPT
Weeks 3-6: Development & Testing
TypeScript AI feature development with quality assurance built-in from the start
Continuous MCP-based testing and validation with real user feedback
Comprehensive test suite creation (integration, unit, and end-to-end tests as appropriate)
Iterative refinement based on MCP validation results to smooth off rough edges
Performance monitoring and debugging systems implementation
Transition from MCP validation to full production integration
Weeks 7-8: Production Integration & Handover
Final evaluation report generation with performance metrics across all quality benchmarks
Complete code documentation and deployment setup
Team training on feature maintenance, testing, and ongoing evaluation
30-day support period for questions and adjustments

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

OpenAI

Industries

Artificial Intelligence
Computer Software
IT Infrastructure