We shipped the Bytetravel app to the ChatGPT app directory.
That sounds like an integration task. It was not only that.
The technical part mattered, of course. Tools need schemas, responses, validations and reliable backend behavior.
But the hardest part was product design inside a conversation.
A ChatGPT App needs clear answers to questions like:
- when should ChatGPT call the tool?
- what should the user see after the tool runs?
- how much context should the app return?
- how do you avoid vague or over-broad results?
- how do you test natural language flows?
For travel, this matters a lot. People do not always know if they need travel insurance, eSIM data, visa help, airport lounges or another travel service.
The goal was simple: let someone solve concrete travel needs from a natural conversation.
The path took iterations, reviews, testing, feedback, corrections and resubmissions.
My biggest takeaway: building a ChatGPT App is closer to designing a product surface than exposing an API.
You need engineering, UX thinking, prompt behavior testing and a lot of edge-case work.
I am working as Tech Lead on Globely at Bytetravel, and this process changed how I think about AI products.
If there is interest, I can write a deeper technical breakdown of the app review process, tool design and testing workflow.
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