WindWalker
Founder profile

Dongyoon Park

AI Product Engineer & Founding Partner
Building agentic AI solutions that move beyond impressive demos into products people can launch, operate, and improve.

Dongyoon Park, AI Product Engineer and Founding Partner
Current work

WindWalker

A conversational business web-app builder for founders and small operators. It connects product creation, iterative change, verification, deployment, operation, and expert support in one experience.

Background

Product engineering at scale

Experience includes Samsung and LG, followed by hands-on work across AI product architecture, web platforms, operational automation, and new-product formation.

How I build

The goal is not to maximize model autonomy. It is to make a useful product outcome repeatable, observable, and recoverable for a non-technical user.

Product first

Start from the user’s business flow and visible outcome, then constrain the technical system around that goal.

Evidence over claims

Publish what was actually run: ordinary-language requests, visible product states, rejected attempts, recovery, and remaining limits.

Operate, then learn

Use real failure patterns and support signals to improve product policy after review, rather than hiding complexity behind a one-shot demo.

“A useful AI product is not only generated. It is kept understandable, recoverable, and ready for the next business decision.”

Open collaboration

I am currently speaking with model and cloud providers, product distribution partners, founder communities, and evidence-led investors.

Model & cloud

Integration support, rate-limit planning, test credits, production economics, and a jointly measured case study.

Go-to-market

Founder workshops, co-marketing, lighthouse users, platform distribution, and international launch support.

Strategic capital

Partners who combine capital with customer access, hiring, operational trust, and long-term platform or M&A optionality.

Let’s compare priorities.

The current product evidence is public at the link below. Technical internals and confidential operating data are shared only after mutual fit and an appropriate review process.