— Index / 00

Applied AI,
built in public.

A working portfolio of LLM workflows, RAG systems, agent tooling and classical ML — shipped as MVPs, documented with rebuild notes, and measured against named test cases. No screenshots-as-product; the demos are live.

— S01 / Live work

Projects with running demos

— S02 / Next

Planned across the ML spectrum

Full roadmap
— S03 / Principles

How these projects are built

Three rules
01 / Proof

Demos, not decks

Every project ships with a live URL, screenshots from real runs, and a written evaluation. No "improved efficiency" claims without numbers attached.

02 / Rebuild

Reproducible by default

Notes list the secrets, endpoints, gotchas, and the exact order of operations. If you can't follow them to a working copy, they get rewritten.

03 / Status

Honest labels

Working MVP, In Progress, Planned — each one means what it says. Roadmap items are not pretended to be finished.