Inside WhatsTheDx 01 / A daily product loop
WhatsTheDx
A daily diagnosis challenge that turns a clinical question into an interactive product for professionals and students.
Eugene Huang · Building with AI
I’m Eugene, an optometrist and builder. I use AI to turn problems I encounter into products that help people learn and teams get work done.
WhatsTheDx: 1,100+ sign-ups from a global community of professionals and students.
Product case studies
A daily challenge, a paid study resource, and a training tool for a practice team. Each project shows how a specific need can become a product people can use.
Inside WhatsTheDx 01 / A daily product loop
A daily diagnosis challenge that turns a clinical question into an interactive product for professionals and students.
Inside OptoConnections 02 / A focused paid product
A focused set of optometry games and study resources that paying students use in their daily routines.
Inside OptoLearn 03 / A tool for the team
A new-hire training platform that organizes instruction, practice, and assessment around optometric workplace tasks.
Traction reported by Pretectal's founder, October 2, 2026. The WhatsTheDx figure counts sign-ups; OptoConnections usage is qualitative. Each case study explains the evidence behind it.
Explore the decisions behind the products →A tool from my clinical field: an illustrative optics model, not a vision test. Source: National Eye Institute
The light converges too soon, before it reaches the retina.
Working examples from eye care: a model, a visual explainer, and a research explorer. Each turns one specific question into an interaction.
Change the shape of an eye. Follow the light. Discover what optical correction actually changes.
Explore the components that help tears protect, nourish, and spread across the surface of the eye.
Look inside a randomized trial of multifocal contact lenses, with the outcomes and their limits in view.
Learn to build
Pick a task you know well. Learn how to choose an AI tool, describe what you need, and build a small version someone can actually use. Then test it, improve it, and make it maintainable.
Start with a task people repeat, a question they struggle with, or a handoff that keeps breaking. Define what a better outcome would look like before choosing a tool.
Give the AI context, examples, and a small job to complete. Inspect the result, test the behavior, and turn useful instructions into skills you can reuse.
A working demo is the beginning. Test the real task, explain the limits, and give the team a way to maintain the product. Measure whether it actually helps.
I’m Eugene Huang, O.D. Wherever I work, I look for ways to make things easier for the people around me. My projects began with needs I could see in eye care: clinical practice, daily study, and training a new team member. Pretectal brings those builds together so you can learn from the decisions and start making useful products of your own.
I built my early MVPs with Lovable, Cursor, and Windsurf. Today, I work with Claude Code and ChatGPT Astra using reusable skills. The tools have changed; the goal is still to solve a real problem and leave the team with something that works.
Eugene HuangOptometrist & product builder
Connect with meA repeated task. A rough idea. A team that could use a better tool.