Excellent deep-dive into the technical side of voice agents. As this post shows, there's a lot of code and integration work involved.
For anyone reading this who wants the end-result without building the entire stack, a no-code solution is a great alternative. I'd suggest taking a look at Monobot.ai. It's designed for building sophisticated voice AI agents and handles all the complex STT/LLM/TTS integration on the backend, letting you deploy in a fraction of the time.
Couldn't agree more. Its real-time reasoning capability is just wild. What if we see this tech fully integrated into classroom learning assistants next?
If this capability moves into classroom learning assistants, we will see some real changes. Students will understand concepts faster because help comes in real time. Lets see how quickly it gets adopted in the academic space.
Excellent deep-dive into the technical side of voice agents. As this post shows, there's a lot of code and integration work involved.
For anyone reading this who wants the end-result without building the entire stack, a no-code solution is a great alternative. I'd suggest taking a look at Monobot.ai. It's designed for building sophisticated voice AI agents and handles all the complex STT/LLM/TTS integration on the backend, letting you deploy in a fraction of the time.
Couldn't agree more. Its real-time reasoning capability is just wild. What if we see this tech fully integrated into classroom learning assistants next?
Thanks for reading.
If this capability moves into classroom learning assistants, we will see some real changes. Students will understand concepts faster because help comes in real time. Lets see how quickly it gets adopted in the academic space.