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4 contributions to Brendan's AI Community
MedSpa After hours voice AI
I'm looking to learn to build a Retell Voice AI that answers calls and books appointments after hours. I would need to integrate with their CRM, but for now, I will just use GHL and N8N as my other tools. I'm looking for a blueprint or training to follow. Please, no soliciting.
1 like • 4d
@Erik Hinds A simple blueprint would be: call comes in → Retell AI handles the conversation → check availability in GoHighLevel → create/update contact → push booking via n8n if needed for extra logic. Key parts are intent detection (booking vs info), calendar validation and a clean fallback if the AI can’t answer. For after hours MedSpa use cases, keeping the flow very narrow usually performs best.
0 likes • 4d
@Erik Hinds Happy it help, sounds like a solid use case. Good luck with the build.
VAPI Warm Transfer Experimental not returning to assistant after timeout help needed
Hi everyone, I'm trying to build an overflow handling assistant and I need help with Warm Transfer Experimental. What I'm trying to achieve: My assistant (Sienna) answers inbound calls, identifies the department, and transfers the call. If the department doesn't pick up within 15 seconds, I need the call to return back to Sienna automatically so she can take the caller's details. The whole thing needs to happen in one single call so the assistant retains the context of the conversation. What I've done: - Transfer mode set to Warm Transfer Experimental on all destinations - End call if transfer fails is unchecked - Summary generation disabled What's happening: The transfer fires correctly but after 15 seconds of no answer the call does not return back to the assistant. The call just dies. My question: Is Warm Transfer Experimental the right mode for this use case? And if so what exact settings are needed to make the call return to the assistant when no one answers? Has anyone successfully built this and can share their setup?
0 likes • 4d
@Aditya Bisht Warm Transfer Experimental can be inconsistent for that use case. In many setups, if the destination doesn’t answer, the call simply terminates instead of returning control to the assistant. A more reliable pattern is: assistant → transfer attempt → timeout handler → route back to the assistant node to collect details. That way the fallback is handled in the call flow, not by the transfer mode itself. If you are using Vapi for this, the key is managing the timeout logic in the orchestration layer rather than relying purely on Warm Transfer.
Voice agent lagging during test calls — is this normal?
When I talk to the assistant to test out the agent, there's often a noticeable lag. Is that the AI processing speed, my computer, or something with the setup? Makes me nervous to deploy this for a client if it's going to feel slow on their end. Anyone else experience this and is there a fix?
2 likes • 6d
@Leandro Weingaertner Pretty normal during testing. Lag usually comes from model size, TTS/STT processing, or running it locally. In a proper cloud deployment with streaming enabled, it should feel much closer to real time.
NEWBIE
Hello everyone, am new here
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Thayer Collins
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@thayer-collins-4007
Turning business challenges into smooth software solutions.

Active 3h ago
Joined Mar 4, 2026
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