I will develop and debug gemini ai applications

Yes! This is a common issue where Gemini’s safety filters are too aggressive for your specific use case. I can help you adjust the safety settings via the API and refine your system prompts to ensure consistent outputs without triggering false positives.

For Web Apps, I primarily use Next.js or React with the Vercel AI SDK for a premium feel, or Streamlit for rapid prototyping. For Mobile Apps, I use Flutter or React Native, ensuring seamless integration with the Gemini API.

Yes, for the final deployment, you will need to provide your own API key from Google AI Studio. However, during the development/debugging phase, I can use my testing environment to ensure everything works perfectly before handing over the code.

Absolutely! I can migrate your existing logic, rewrite your prompts to fit Gemini’s architecture, and optimize your app to take advantage of Gemini’s unique features, like the 2-million-token context window.

Yes. Inconsistency is usually a result of poor prompt structure or lack of Schema definition. I will implement Constrained Output (JSON Mode) and improve your system instructions to ensure the AI follows your app's logic every single time.

Yes! Using Function Calling, I can enable the Gemini model to interact with your own APIs, databases (SQL/NoSQL), or third-party tools like Google Calendar, Stripe, or SendGrid.

The Standard and Premium packages include a brief support period for bug fixing. If you require long-term maintenance or monthly updates as new Gemini models are released, we can discuss a custom long-term collaboration.

Yes, if your AI integration via REST API is failing in FlutterFlow, Bubble, or Zapier, I can debug the API calls, headers, and body structures to get your automation running smoothly again.