New Medium: the thinking above the project

AI made building fast, but the reasoning kept disappearing. I designed and built a layer above the work where people and AI share the same knowledge, decisions and intent.
Own product
0 → 1
AI product design
Design engineering

Industry

AI-assisted product development

Role

Founder
Product designer
Design engineer

Focus

Product strategy
Systems and IA
AI product design
Motion
Desktop and web

Impact

A working macOS beta
A refocused product
A thesis earned the hard way
The problem

Every fix became the next container.

Chat threads, Notion, a converter I built, the IDE, a planning structure inside the repo. Each one solved the last leak, then trapped the thinking again. The pattern was the insight: the thinking needed a home of its own.

Diagram: the planning hub above a row of deliverables
The approach

A layer above the work.

Planning moved into a hub above the code, with five layers that each answer one question, and one agent that works across all of them. The project's own files stay the source of truth, so nothing is trapped in the tool.

20

desktop app screens

90+

tools agents use to work the plan

Diagram: five planning layers with an agent across all of them
The judgment call

I audited my own product.

Reading the project as it really was showed two products sharing one story. I refocused on the one with outside demand, set a quality bar before tuning anything, and paused the work that was burying it.

Diagram: the investigation engine leads, the continuity layer becomes the upgrade
AI product design

Designed for how AI fails.

No priority appears without evidence behind it. Any finding can be challenged, and corrections stay visible. Agent actions become plain-language approval cards. And people bring their own AI provider, because real companies have real constraints.

Investigation output: clean findings stay, flagged risks like an exposed key, a missing auth check and no tests move to a fix list
Building forward

Playbooks, proven by onboarding.

A playbook is a proven path you switch on: a plan, documents, and guidance for your agents. When onboarding started turning into complicated defaults, I made it a playbook instead. Switch it on to go from idea to first epic, or skip it for a clean slate.

Diagram: a playbook sits between any asset and the north star as a step-by-step plan
Craft

Making it felt, and making it hold.

I designed and built a 15-screen scroll story that mirrors the product. When mobile broke it, I moved every layout value into data and proved the refactor changed nothing before recomposing for phones.

15

story screens, designed and built

0

differing pixels across 30 transition frames

Story screen: each playbook becomes its asset

“AI products now compete with a raw chat thread in a capable person's hands. Structure has to earn its place.”