Mar 9 (edited) • General Discussion 💬
Build an AI Receptionist using only the Gemini API
Most people building voice AI agents are still using a stack like this:
• STT – Speech to Text
• LLM – The brain
• TTS – Text to Speech
Tools like Vapi make this easier, but the stack still involves multiple services and the cost can add up quickly.
Recently I experimented with Gemini's Native Audio model, and it simplifies the entire architecture.
Instead of using multiple tools, Gemini can handle the full pipeline itself.
That means it can:
• Listen to speech
• Understand the conversation
• Generate a response
• Speak back naturally
All inside one model.
So instead of:
STT + LLM + TTS
You can build a voice AI receptionist with just one API (Gemini).
This makes the system:
• Much simpler
• Cheaper to run
• Faster to build
I built a small open-source system around this idea so anyone can test it.
You can check the repo here:
GitHub:
Inside the repo you'll find:
• The full working setup
• How the Gemini voice pipeline works
• Code you can modify for your own projects or clients
If anyone here is experimenting with voice agents, AI receptionists, or automation for businesses, this might be useful for you.
If anyone need help in installation of this agent then let me know
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Build an AI Receptionist using only the Gemini API
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