About AI Discovery Hub

About AI Discovery Hub

AI Discovery Hub is an independent technical publication by Jay Kim about building useful artificial-intelligence systems. The site focuses on practical engineering: retrieval, agents, evaluation, automation, product design, and the operational details that determine whether a prototype becomes a dependable tool.

Articles are written for developers, technical product managers, and curious builders. The goal is not to repeat product announcements. Each tutorial aims to turn a broad idea into an architecture, a reproducible experiment, code, or a decision framework that a reader can apply.

How articles are produced

Topics are selected from hands-on engineering questions and changes in the AI ecosystem. Drafts may use AI tools for brainstorming, editing, or code review, but every article is reviewed by a human before publication. Technical claims should be supported by runnable examples, primary documentation, or clearly identified assumptions.

When an article is updated, the aim is to preserve its original URL while correcting outdated instructions and adding what was learned.

About the author

Jay Kim is a technology enthusiast and software builder with a particular interest in applied AI, data systems, and automation. You can also find Jay’s project work at JayKimProject on GitHub and longer-form writing on Medium.

AI Discovery Hub is a personal publication. Opinions are the author’s own and do not represent an employer or client.

Corrections

If you find an error, an inaccessible example, or a statement that needs a better source, please use the information on the Contact page. Substantive corrections will be incorporated into the relevant article.

Comments

Popular posts from this blog

AI Agents: Complete Guide to Agentic AI, LLM Agents, Memory, Planning, Tool Calling, RAG, Multi-Agent Systems, Enterprise Automation, and Future Trends

Building Smarter AI Search with Structured Query Understanding

Building a Roblox-Style Game with GenAI — From Idea to Online