Information everywhere, but no overview
Every text, paper, and email uses a different format — users re-read, copy, and double-check.
Human-Centered AI · Product · Engineering
Scattered expense records, confusing guitar tone settings — I'm Lina Noh, and I turn the complexity people face every day into clear flows and working products.
Product Strategy·UX & IA·Software Prototyping·Applied AI
Problem
Every text, paper, and email uses a different format — users re-read, copy, and double-check.
Multi-effects units offer endless menus, and the path to the sound you want feels impossible.
Good automation provides sources, explanations, corrections, and undo — not just results.
“Technology should help people understand and choose,
not demand more studying and organizing.”
Guide
Process
STEP 01
Understand users, context, gear, and constraints.
STEP 02
Define the core problem and the roles of AI and users.
STEP 03
Build the smallest working flow and validate it.
STEP 04
Design the next version from errors and feedback.
Featured Projects
One philosophy in two different domains: AI organizes the complexity, while users stay able to understand and correct the results.
AI reads and structures statements arriving by text, paper, and email into a monthly ledger. Users verify against the source, then edit and confirm.
이번 달 요약
최근 내역
Based on your gear and desired sound, it proposes a starting multi-effects setup — and explains "why this value" in a player's language.
짧고 강렬한 후크 파트, 하이게인 유지하며 딜레이/리버브 강조.
👉 P04 프리셋 호출, 픽업 1번 포지션 유지.
Research
How can AI organize personal documents while preserving sources, privacy, and the right to correct?
How can AI propose tone starting points while keeping the player's taste and agency?
How can predictions from baseball and K-pop data become understandable explanations?
From the field to products, from products to research.
A capability map linked to evidence, not a list of logos.
Notes on product judgment, failures, and data problems.
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