AI Feature Development (Typescript) by Josh PitzalisAI Feature Development (Typescript) by Josh Pitzalis
AI Feature Development (Typescript)Josh Pitzalis
Cover image for AI Feature Development (Typescript)
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.
Starting at$22,500
Schedule a call
Duration8 weeks
Tags
Claude
Google Gemini
AI Developer
AI Engineer
Engineering Manager
Service provided by
AI Feature Development (Typescript)Josh Pitzalis
Starting at$22,500
Schedule a call
Duration8 weeks
Tags
Claude
Google Gemini
AI Developer
AI Engineer
Engineering Manager
Cover image for AI Feature Development (Typescript)
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.
$22,500