https://brewpairassistant.com Wanted to share my BrewPair Assistant App made with replit: AI Food and Drink Pairings for Tea, Coffee, Wine, Beer, and Cocktails

I designed and built BrewPair Assistant to take the guesswork out of pairing food and drinks. Instead of scrolling through generic pairing charts, people search for a dish or a drink and get a pairing suggestion with a plain-language explanation of why it works.

The search is the heart of the product. Each query goes to an AI model that generates the pairing, and every result includes a "Why This Pairing Works" section so users learn something instead of just following a recommendation. Images for each result load in parallel so the results feel quick and visual. The app covers tea, coffee, wine, beer, and cocktails in one place.

Users can save the pairings they like and rate them with stars, building a personal collection of favorites. They can also share pairings with friends and find local tasting events, which turns a quick lookup into something social. (Confirm both of these are live before publishing.)

On the technical side, I built the app on Replit, with the OpenAI API powering the pairing generation. Each search is a single, stateless AI call, which keeps responses fast and costs predictable. I'm now moving the app to Vercel and planning to rebuild the pairing feature as a more agentic experience.