Dog breed information exists online, but I saw an opportunity for a more detailed, helpful, and discoverable experience: a dog-focused encyclopedia that could support people researching breeds while also testing SEO and monetization potential.
Project process
Doggopedia - AI-assisted Product Build
A solo, AI-assisted product experiment taken from market opportunity to launched website.
Back
Product Designer, UX/UI Designer & AI-assisted Developer
Codex AI, market research, SEO research, product design, frontend development
1.5 months
Plan
Validate the market opportunity, define the product structure, design the user experience, build the website with AI-assisted development, and learn how far I could take a real product independently from start to launch.
Market and product opportunity
The project started with research into the dog information space. I wanted to understand whether there was room for a more structured, useful, and search-friendly dog breed encyclopedia that could serve real user intent while also creating business potential through SEO.
- Looked for gaps in existing breed discovery and dog encyclopedia experiences.
- Defined the product around detailed dog breed information, findability, and practical usefulness.
- Considered from the beginning how content structure, search behavior, and monetization could work together.
Designing and developing at the same time
Doggopedia became a different way of working: instead of separating design and development into strict phases, I used Codex AI to move quickly between product decisions, UI structure, implementation, and iteration.
- Designed the experience and interface while actively building the product.
- Used AI as a development partner to test how independently I could ship a real product.
- Learned where AI speeds up the process and where strong product and UX judgment are still essential.
Outcome
In one and a half months, I took the idea from zero to a launched website. The project helped me understand the possibilities and limits of AI-assisted product creation, especially for designers who want to validate, build, and grow their own digital products.
Lessons learned
AI helped me move extremely fast from zero to roughly 70-80% of the product, especially while designing and coding in parallel. The final 20% required the most effort: refining usability, improving UI details, avoiding basic implementation mistakes, and getting support from a skilled developer for backend cleanup and decisions beyond my non-developer skill set.