Hi,
First the firm part: your hours work for me. I am in Central European Time, so 10am to 2pm Eastern is late afternoon into evening here, and I can commit to those blocks Tuesday to Thursday reliably, plus the independent work between. English is fluent. And I genuinely like your working model, since four years of leading development for a Norwegian company has made screen-share building with a non-developer my normal week.
The Bubble AI detail is the important one, because I know exactly what you are sitting on. AI-generated Bubble apps share a pattern: the pages look right, the data structure underneath is flat and literal, everything runs in page workflows with nothing in the backend, and privacy rules are usually absent entirely, meaning any user can technically retrieve any data even if the interface hides it. The bones being there is real, but the order of repair matters: data model first, then privacy rules, then moving logic into backend workflows, then the visible polish. Fixing workflows on top of a wrong structure means the same bugs return wearing different clothes, which is exactly the trap these rebuilds fall into.
Since you will be picking up the editor as we go, I would work in a way that leaves you genuinely able to continue: clear naming so the app explains itself, talking through why each change is made rather than just making it, and you driving in the editor for parts of every session rather than watching me for four weeks.
One thing specific to bookings that we should look at early: how a booking claims its slot. If availability is checked on the page and written afterwards, two users can take the same slot in the same second, and for aviation that is not cosmetic. The fix is a claim enforced in a backend workflow so the second attempt gets a clean rejection. AI-generated apps essentially never get this right, because it requires knowing the failure mode exists.
My experience with roles, bookings and scheduling:
https://clubhub.co/
Used by 50k+ students across US schools, separate organisations, strict role-based data separation. Also on the App Store.
https://app.bikekey.com/
20k+ paying users.
https://trashwarrior.com/
Service business with scheduling and job flow.
https://dailybuildapp.com/
https://leton.online/
https://transparto.com/
https://app.konstructo.io/version-test/
https://www.theofficeplanner.com/
https://demanddraft.ai/
https://voca-voca.com/
https://disconnectflow.com/
https://theteenjournal.com/
https://citypulse.tech/
https://tradelinkai.co.uk/
https://ifinder24.ch
https://www.jewellink.com/
https://mth.com.au/
https://chemicals.avonova.com/
https://edony.dev/
Client testimonials:
https://vimeo.com/1136384008
https://vimeo.com/1136384838
https://vimeo.com/1136384981
I am Edon, 9 years in Bubble, 120+ products delivered, Top Rated Plus on Upwork with over 470,000 USD earned and 70+ five star reviews. Stabilising AI-generated apps into production shape is a growing part of my work, and yours is a textbook case of it.
On rate, I sit at the upper end of your range, and I am comfortable agreeing the exact figure on the first call once you have seen how I work. Four weeks to start suits me, and if the collaboration works I am glad to continue.
If you can share view access before our first session, I will come having already read the data model, which makes the first four hours worth double.
Kind regards,
Edon Gjergji
