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Welcome to the Amplify Voice Community 🎙️ [START HERE]
We're Alejo and Paige, founders of Amplify Voice, an AI Company focused on Voice. We're passionate about bringing like-minded people together to share resources, learn, and grow. 🌳 💻 You'll find all of the DFY templates and resources shared from our Youtube Channel in Alejo's Resource Hub. 💡 Stay tuned for Updates as we continue to build out Amplify Voice's Skool Community. In the meantime... we'd love to get to know you! Take a few minutes to drop a couple of lines in the general chat to introduce yourself. 🌎 Name and current location 🎤 What kind of Voice projects are you working on atm? 🤓 What are you most excited to learn about next? We're keen to collab, let's get to building! 🛠️
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New comment 4h ago
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IN-DEPTH AI HOTEL RECEPTIONIST WITH RETELL TUTORIAL! [TEMPLATES]
We've just released a comprehensive tutorial that breaks down everything you need to know about Retell AI, building a Hotel Receptionist 🏨 What you'll learn: • Key features about Retell AI • Step-by-step implementation for a real-world use case • Insights to speed up your development process with Retell AI We hope you enjoy building on this platform as much as we have! Watch it here: https://youtu.be/1xWo6SBvykA Drop a Like below if you're excited to dive in! #VoiceAI #RetellAI #Tutorial
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New comment 14h ago
IN-DEPTH AI HOTEL RECEPTIONIST WITH RETELL TUTORIAL! [TEMPLATES]
New entrant
Hello community, my name is Will and I am looking forward to meeting you all and learning more about this space. Keen to see what the future brings! Regards to all
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New comment 4h ago
What’s the best and most realistic voice in your opinion?
I’ve been using a few voices but they aren’t available anymore for some reason. What are some of your favorite voices? American accent
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New comment 1d ago
Vapi Prompt Injection - user data
**Here is go again TLDR:** You can inject user (and system) messages in to the transcripts as you confirm data (silently) so they are picked up by the analysis but not heard by the caller. - this is a follow up from an earlier message related to injecting system level data suing make, you can also inject 'user' messages which have a use, as outlined below. Something else I wanted to note, you can send messages back to the control url when you are in the call - and you can send user message, as well as server. This is could be useful to get data in to the chat (it's not spoken) but you can see it in the transcript, and therefore have the LLM analysis pick it up An example: I have a solution that is asking the user to confirm a machine is his, however, I need the serial number for a process later and I don't want the AI to read back A11F-123-X23. I have the serial number (this is multiple machine data injected up front) sent in to the system prompt when the call starts, but for whatever reason you don't get system message injections in the transcript flow (so they are not analysed). So to get round this you need to create a tool that when the confirmed machine you fire off a tool call to inject a 'user' message and an empty webhook 200 response. There we have it - if you want a mini make vid, let me know. **Extra** Theoretically, and this goes a bit deep, you could create a tool call for say "user" massages, and "system" the are both 'async' (depending) on your use case and with an end point that produces a 200 response (so the tool doesn't fail when called) then use these to so all sort of stuff in the active call... and anyone who get why you may want to will get it - but be careful.
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New comment 2d ago
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