AI Restaurant

AI Agents for a restaurant!

Also using Web3

TODO

• 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 dish upload (& admin panel)
• "taint" (server-only)
• Use Next/Image component
• Error management (w/ Sentry)
• Routing/dish 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
  • 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
• Add Web3 features with Wagmi

What's next? How do I make a [T3] app with this?

Theo's reference tutorial

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

• Next.js
• Drizzle
• Tailwind CSS

Learn More about the T3 Stack

• Documentation
• Tutorials
• create-t3-app GitHub repository — your feedback and contributions are welcome!

How do I deploy this?

• Vercel
• Docker