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By Komal Bhojani
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Get instant insights and key takeaways from this YouTube video by Komal Bhojani .
Google AI Studio Features and App Building
๐ The AI Studio Coder is now at version 2.0, completely free, and ready to harness the power of the upcoming Gemini 3 model.
๐ค Users can build apps using Gemini API, leveraging Google's advanced tools for voice-based apps, Google Maps integration, or image analysis via the Nano Banana API.
โ๏ธ The interface allows model selection (defaulting to Gemini 2.5 Pro), setting custom system instructions, and supports application templates in React, TypeScript, and Angular TypeScript.
๐ฎ The "I'm feeling lucky" option automatically generates a demo app idea, such as creating a logo mockup generator which was successfully built and tested for branding purposes.
Deployment Strategies
๐ There are three primary methods for deploying apps created in Google AI Studio: downloading and self-hosting, connecting via Git for third-party hosting (like Netlify or Vercel), or direct deployment via Google Cloud Run.
๐ Self-hosting using platforms like TinyWeb is demonstrated by uploading the downloaded ZIP folder to get a public, live link instantly.
โ๏ธ Deployment via Git and Netlify involves connecting the GitHub account, committing files to a repository, and configuring Netlify to pull and host the project automatically.
๐ Deployment through Google Cloud Run is highlighted as the most secure option, ensuring the Google AI Studio API key is never exposed publicly.
Selling and Monetization of AI Apps
โ๏ธ When selling an app built with Google AI Studio, you own the front-end code, back-end logic, and designs, but you do not own the Gemini model itself.
๐ป Four main monetization paths are outlined: selling as a SaaS web app (subscription or lifetime access), selling as source code/template on platforms like Gumroad, converting to a mobile app (Android/iOS), or offering it as a white-label tool.
๐ณ For reselling templates, the recommended approach is to let each buyer add their own API key to avoid covering their usage costs.
๐ A typical monetization setup involves hosting the app (e.g., on Netlify), collecting payments via tools like Gumroad, and having the backend manage usage limits and API calls using your key.
Key Points & Insights
โก๏ธ Utilize the "I'm feeling lucky" feature to instantly generate and start building an app idea, exemplified by the successful creation of a logo mockup tool.
โก๏ธ When deploying via Google Cloud Run, ensure you enable billing to activate the free tier, which keeps your API keys secure.
โก๏ธ To maximize earnings from template sales, structure your system so buyers provide their own Gemini API keys rather than using yours.
โก๏ธ Apps created can be easily shared via a live URL or converted to APK files using web-to-APK services for mobile installation.
๐ธ Video summarized with SummaryTube.com on Nov 17, 2025, 17:47 UTC
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Full video URL: youtube.com/watch?v=MRcHMac9Tog
Duration: 26:46
Get instant insights and key takeaways from this YouTube video by Komal Bhojani .
Google AI Studio Features and App Building
๐ The AI Studio Coder is now at version 2.0, completely free, and ready to harness the power of the upcoming Gemini 3 model.
๐ค Users can build apps using Gemini API, leveraging Google's advanced tools for voice-based apps, Google Maps integration, or image analysis via the Nano Banana API.
โ๏ธ The interface allows model selection (defaulting to Gemini 2.5 Pro), setting custom system instructions, and supports application templates in React, TypeScript, and Angular TypeScript.
๐ฎ The "I'm feeling lucky" option automatically generates a demo app idea, such as creating a logo mockup generator which was successfully built and tested for branding purposes.
Deployment Strategies
๐ There are three primary methods for deploying apps created in Google AI Studio: downloading and self-hosting, connecting via Git for third-party hosting (like Netlify or Vercel), or direct deployment via Google Cloud Run.
๐ Self-hosting using platforms like TinyWeb is demonstrated by uploading the downloaded ZIP folder to get a public, live link instantly.
โ๏ธ Deployment via Git and Netlify involves connecting the GitHub account, committing files to a repository, and configuring Netlify to pull and host the project automatically.
๐ Deployment through Google Cloud Run is highlighted as the most secure option, ensuring the Google AI Studio API key is never exposed publicly.
Selling and Monetization of AI Apps
โ๏ธ When selling an app built with Google AI Studio, you own the front-end code, back-end logic, and designs, but you do not own the Gemini model itself.
๐ป Four main monetization paths are outlined: selling as a SaaS web app (subscription or lifetime access), selling as source code/template on platforms like Gumroad, converting to a mobile app (Android/iOS), or offering it as a white-label tool.
๐ณ For reselling templates, the recommended approach is to let each buyer add their own API key to avoid covering their usage costs.
๐ A typical monetization setup involves hosting the app (e.g., on Netlify), collecting payments via tools like Gumroad, and having the backend manage usage limits and API calls using your key.
Key Points & Insights
โก๏ธ Utilize the "I'm feeling lucky" feature to instantly generate and start building an app idea, exemplified by the successful creation of a logo mockup tool.
โก๏ธ When deploying via Google Cloud Run, ensure you enable billing to activate the free tier, which keeps your API keys secure.
โก๏ธ To maximize earnings from template sales, structure your system so buyers provide their own Gemini API keys rather than using yours.
โก๏ธ Apps created can be easily shared via a live URL or converted to APK files using web-to-APK services for mobile installation.
๐ธ Video summarized with SummaryTube.com on Nov 17, 2025, 17:47 UTC
Find relevant products on Amazon related to this video
As an Amazon Associate, we earn from qualifying purchases

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