Secure Google AI Studio Deployment
Budget: $30 – $250 USD
I have a fully-functioning utility app sitting inside Google AI Studio and I’m ready to put it in front of real users. Your job is to move that build into a live web environment, wire up every external API it depends on, and lock down all sensitive keys using an API Key strategy.
Here’s what I need from you:
• Set up a production-grade hosting workflow that pulls my current Google AI Studio project, converts it into a public web app, and assigns it to my custom domain.
• Integrate each existing API endpoint exactly as it works in the dev environment, verifying request/response flows end-to-end.
• Store and call API keys securely—env variables or a managed secrets service are fine, as long as they never surface in client-side code or version control.
• Run smoke tests to confirm the utility app’s core features behave identically in production.
• Hand over concise deployment notes (repo structure, build commands, secrets handling) so I can reproduce the release on my own.
Here’s what I need from you:
• Set up a production-grade hosting workflow that pulls my current Google AI Studio project, converts it into a public web app, and assigns it to my custom domain.
• Integrate each existing API endpoint exactly as it works in the dev environment, verifying request/response flows end-to-end.
• Store and call API keys securely—env variables or a managed secrets service are fine, as long as they never surface in client-side code or version control.
• Run smoke tests to confirm the utility app’s core features behave identically in production.
• Hand over concise deployment notes (repo structure, build commands, secrets handling) so I can reproduce the release on my own.