mmTheBest/How-to-build-an-AI-product
A practical guide to building AI products end-to-end. You'll learn how to choose models based on product constraints, decide when fine-tuning is worth it, evaluate with real metrics, and build an agent that works in production. This project is in progress; chapters and code will land in stages.
This playbook helps product managers and technical leads build reliable AI products from initial idea to deployment. It guides you through defining clear requirements, selecting the right AI models based on your product's specific needs, and setting up measurable evaluation criteria. You'll learn how to translate vague product goals into concrete metrics and make data-driven decisions about AI model choices, ultimately increasing the chances of your AI initiative succeeding as a functional product.
Use this if you are a product manager, technical lead, or entrepreneur developing an AI-powered product and need a structured approach to design, evaluate, and build it reliably.
Not ideal if you are looking for a deep dive into specific AI model architectures or a coding-focused guide for implementing machine learning algorithms.
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Mar 11, 2026
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