Google iconGoogleAug 20, 2026 ~1 min source read

10 questions every startup should answer before moving to production with their AI prototype

It's common to bump into these three challenges as you build out your stack: A leaked API key racks up a large bill in 48 hours. The launch works, until the app starts returning HTTP 429 Too Many Requests because of default per-project quotas, and there's no clean path to more capacity without paying a premium.

10 questions every startup should answer before moving to production with their AI prototype

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It's common to bump into these three challenges as you build out your stack: A leaked API key racks up a large bill in 48 hours.

The launch works, until the app starts returning HTTP 429 Too Many Requests because of default per-project quotas, and there's no clean path to more capacity without paying a premium.

They're default failure modes of moving fast without a plan, and we've all done it at least once.

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The useful part

It's common to bump into these three challenges as you build out your stack: A leaked API key racks up a large bill in 48 hours. The launch works, until the app starts returning HTTP 429 Too Many Requests because of default per-project quotas, and there's no clean path to more capacity without paying a premium. They're default failure modes of moving fast without a plan, and we've all done it at least once.

How it works

  • Below are the 10 questions every startup should be ready to answer before they scale, grouped into the three phases where decisions can shape your future:
  • Onboard (setting up your own projects and identities right) Scale (getting more throughput without breaking the bank) <st...

Details worth keeping

It's never been easier to start an AI-powered startup on Google Cloud.

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