GPT-3 as travel agent: a working reference architecture
A minimal, cloneable Next.js app that wires OpenAI's API into a travel planning interface—more wiring diagram than product, but useful wiring.

What it does
This is a bare-bones Next.js application that connects to OpenAI’s GPT-3 API and returns travel advice. You bring your own API key, clone, install, run. The README offers no detail on features, UI, or what the app actually asks GPT-3 to do—just the plumbing to get it running locally.
The interesting bit
The value is in the “reference architecture” framing. For developers who’ve read about GPT-3 but haven’t wired it into a real (if tiny) web app, this is a working circuit diagram. The stack choices—Next.js, TypeScript—are mainstream enough that most frontend developers can read the code without a second language.
Key highlights
- Next.js + TypeScript scaffold, ready to clone and run
- Environment-based API key configuration (
.env.local) - Explicitly positioned as reference architecture, not a shipped product
- 552 stars suggest it hit a nerve for developers wanting a minimal GPT-3 integration example
Caveats
- README is extremely thin: no screenshots, no feature list, no explanation of the prompt engineering or what the app actually returns
- No candidate images even available, which hints at how unpolished the presentation is
- Requires bringing your own OpenAI API key and presumably billing
Verdict
Grab this if you want a 5-minute, working GPT-3 integration to crib from. Skip it if you need a travel app, travel data, or any sense of what the user experience looks like.