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The problem
Book recommendations often feel too broad. The product needed to turn a reader request into a useful recommendation flow without making the interface feel complicated.
Back to work
BlurbBuddy
An AI book discovery tool that helps readers find recommendations by mood, topic, or similar titles instead of relying on generic category lists.
AI Discovery MVPMVP buildPublic project
Services
AI product design, MVP build, Prompted search flow, Launch polish
Stack
Next.js, TypeScript, AI integration, Tailwind CSS
Public-facing
AI Discovery MVP
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What changed
We made the main experience conversational: readers describe what they want, then the app gives a focused set of options they can act on.
✓
What shipped
A live AI discovery MVP with a direct prompt flow, recommendation interface, public-facing polish, and room to keep improving the matching experience.
Private details protected
The case study shows only the public product direction. User prompts, private experiments, analytics, and internal product notes are not exposed.
Ready to build something useful?
We can turn the messy version of the problem into a practical first build, then keep the private parts private.