Naman Jain
I build AI products.
Now I'm building the agents inside them.
Every week, something shipped. Every week, something learned.
I've spent the last 2+ years building next-gen SaaS and AI products — mostly on the frontend, in Angular, React, and Next. I own UI/UX end-to-end, not just components. I've built interfaces for GenAI products. Now I'm learning what runs underneath them — agents, orchestration, and the systems making the decisions.
About
I've spent the last 2+ years building next-gen SaaS and AI products — mostly on the frontend, in Angular, React, and Next. I own UI/UX end-to-end: not just components, but the flow, the requirements, the parts that make a product actually work for the person using it.
Along the way I've built interfaces for GenAI products — chat experiences, AI-driven flows, the stuff users actually touch. What I haven't done yet is build what's behind that interface: the agents, the orchestration, the systems making the decisions.
That's what I'm doing now. Learning backend fundamentals, Spring AI, and how agents actually work at the code level — and shipping something new publicly, every week, until I can build agentic products end to end, not just the screens in front of them.
Projects
Built in public. Some are polished, some are this week's experiment — both are here.
Select. Describe. Watch it change.
Click any element on a page, describe the change in plain English, and an LLM rewrites its style and content live — no code, no panel-hunting. Built to explore how natural language can drive direct UI manipulation, the same instinct behind every AI page-builder you've used, stripped down to its core mechanic.
A changelog that writes itself
Most changelogs are an afterthought — bullet points nobody reads. This pulls a week's GitHub commits and has an LLM turn them into something a human would actually want to read. Built mostly to keep myself honest about what I shipped each week.
because “shipped weekly” only means something if there's a record of it.
An agent that triages your GitHub issues
Not a chatbot wrapper — an agent that reads open issues, decides what's actually urgent, tags them, and suggests next steps. First real attempt at agent behavior: reading, deciding, acting, not just answering.
this is the first project where the LLM has to decide something, not just generate something.
Let's Talk
Building something interesting, hiring, or just want to talk shop on agents and AI products? I'm around.
