Google AI Studio back-end

I’ve been spending a lot of time with Google AI Studio, and I genuinely think Google has built something special here. The model access, tooling, and overall direction feel right.

Where I’m hitting friction is the last mile.

I’m wrestling with:

  • Wiring the backend cleanly

  • Standing up Firebase and Cloud infrastructure the right way

  • Stress-testing for scalability and production readiness

The product side feels strong. The infrastructure glue is where things slow down.

Curious if anyone here has:

  • Found strong tutorials, reference architectures, or battle-tested guides

  • Worked with teams or consultants who specialize in this stack

  • Built production systems on Google AI Studio and can share lessons learned

Not looking for hype. I’m looking for practical experience, smart resources, or people who’ve already scraped their knuckles on this stuff.

Appreciate any pointers, war stories, or introductions.


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