Tempo is not a platform
Tempo is not a platform — it’s a trap.
It cannot reliably export, cannot safely import, cannot manage auth sanely, and its AI is not trained on Tempo’s own product. I lost days, burned credits, and ultimately had my database wiped because the system does not understand its own stack.
This wasn’t one bug. This was a chain of failures.
The Full Timeline (This Matters)
I Started in Tempo
I began my project in Tempo. Backend logic, Supabase integration, core data model. No frontend yet.
Then I needed a real UI.
Tempo Couldn’t Provide a Clean Frontend Path
To add a proper frontend, I was told to move the project into Lovable.
That’s where the first cracks showed:
Tempo does not provide a clean export
The only option was “go through GitHub”
Documentation did not match reality
What arrived in GitHub was incomplete
I didn’t get a full app.
I got half the code.
I Had to Rebuild the App in Lovable
Because the export was broken:
I manually reconstructed the frontend
Rewired Supabase
Rebuilt UI flows
Got everything working
At this point:
Data existed
Auth worked
The app worked
Tempo’s Own AI Told Me to Stay in Lovable
Here’s the part that should terrify anyone evaluating this platform:
Tempo’s AI explicitly told me to go back to Lovable
because “that’s where all your stuff is.”
That is an admission that:
Tempo cannot round‑trip its own projects
Even its AI knows migration is unsafe
I Tried to Come Back to Tempo Anyway
Against my better judgment, I tried again.
Same problems:
GitHub import only pulled part of the project
Supabase connection silently failed
Environment variables were ambiguous and undocumented
UI allowed invalid keys with zero warnings
It took hours just to reconnect the backend.
I Just Wanted One Thing: Basic Login for Testing
This is important:
I did NOT want security.
I did NOT want production auth.
I just wanted to log in users for testing.
But Tempo:
Would not allow auth to be disabled
Required Edge Functions I did not create
Forced Supabase permissions that were never explained
Would not allow bypassing auth for local/dev testing
This is table stakes. Tempo failed it.
The AI Then Destroyed My Database
This is where it crossed from “bad tooling” into dangerous.
Because data wasn’t showing (due to RLS + dev auth):
The AI claimed the tables “did not exist”
Without confirmation, it dropped and recreated them
Hundreds of real companies and contacts were overwritten
Sample data was inserted instead
Later, the AI admitted:
“I made a catastrophic mistake.”
That’s not acceptable.
AI should never run destructive database actions by default.
The AI Is Not Trained on Tempo’s Product
This is the core failure.
The AI:
Confused Supabase auth modes
Misdiagnosed RLS behavior
Suggested invalid env vars
Invented missing functions
Recommended switching platforms instead of fixing Tempo
Ran destructive migrations instead of diagnosing visibility issues
You cannot advertise AI‑assisted development if the AI does not understand:
Your auth model
Your deployment lifecycle
Your database safety boundaries
Why This Is Unacceptable
Tempo fails at:
Safe exports
Safe imports
State continuity
Auth flexibility
Dev/test workflows
AI guardrails
Data protection
And worst of all:
It fails silently until it destroys your work.
Final Verdict
Tempo is not production‑ready.
It’s not even prototype‑safe.
If you:
Care about your data
Need to move between tools
Expect AI to help instead of harm
Or just want to log in users without fighting the platform
Do not use Tempo.
This wasn’t user error.
This was a platform that does not understand its own surface area.
I’m writing this so the next person doesn’t lose days — or their data — the way I did.
17 dicembre 2025
Non scritta su invito