AI Agents for a Café!
Also using Web3
- Make it deploy (Vercel)
- Scaffold basic UI with mock data
- Tidy up build process
- Actually set up a DB (Neon Postgres)
- Attach DB to UI
- Add authentication (w/ Clerk)
- Add coffee upload (& admin panel)
- "taint" (server-only)
- Use Next/Image component
- Error management (w/ Sentry)
- Routing/coffee page (parallel route)
- Delete button (w/ Server Actions)
- Analytics (PostHog)
- RateLimiting (UpStash)
- ▲ Use Vercel AI SDK to create agents/assistants (w/ AI SDK
Core and AI SDK UI)
- Groq
- DeepSeek
- Mistral
- OpenAI
- Anthropic
- xAI Grok
-
(Add) => {More models? Azure? AI SDK UI? AI SDK RSC?}
- Use the Cloudinary SDK to generate SpoOoOky images
- Create the "Spooky mode" (alongside light/dark modes)
- Personalize AI assistant when using the spooky mode
- Test Web3 features with Wagmi
- Design and implement café reservations system with NFTs & (Safe{Core}'s) account abstraction
This is a T3 Stack project bootstrapped with
create-t3-app.
If you are not familiar with the different technologies used in this project, please refer to the respective docs. If you still are in the wind, please join the Discord
Learn More about the T3 Stack
- Documentation
- Tutorials
- create-t3-app GitHub repository — your feedback and contributions are welcome!