I have created a special something for you In the case where your agents are having difficulty ending calls. I have noticed from time to time agents have complications with dismissing themselves from a phone call and remains on the line. This can look unprofessional and can dim the quality of your agents, hindering performance and a potential sale. If you would like access to this quick resource so you can begin to implement It to your agents and your clients. Comment the word "VOICE AI" and I will send it over

I've been using synthflow for a while now, but i keep seeing more and more tutorials focused on Retell. Any people out there have opinions on which one is ideal for which use case? What are the strengths and weaknesses of each/

This week’s session Is all about mastering advanced call handling Here’s what we’ll cover: - How to intelligently route calls using real business logic - Smart voicemail detection and how to respond effectively - Re engaging missed leads with automatic reconnects - Creating fallback paths when calls go unanswered I'll be walking through real world call flows and showing you how to build AI that handles uncertainty with confidence and keeps conversations smooth. If you're serious about improving your builds, this one’s for you. Join us live or catch the replay in the classroom. You won’t want to miss it. Join -> "HERE"

On this webinar we will be going over the best practices on how to convert your leads. Want to launch AI cold calls that actually convert? We’ll walk through how to script, test, and monitor AI outbound calls I will so demonstrate other strategies for objection handling, pacing, and engagement In order to keep the conversation flowing easily Join by clicking the link here down⬇️ https://academy.synthflow.ai/c/live-builds/how-to-launch-test-outbound-campaigns-with-voice-ai

is anyone out there building / have built ai text agents? if so I'd love to connect and share ideas / best practices. here's what I've done so far: n8n workflow that's triggered by an inbound text message webhook (via twilio API). that then triggers a node to grab the last 50 text messages to AND from that number combine those into one, chronologically ordered variable pass that to an LLM with a sales prompt to generate a response send that response to lead I have had issues with the LLM coming up with a "good" response tho. I was thinking it might be better to create a "sales training" type KB, and have that supplement the prompt, or possibly even break the LLM into two nodes (although less cost effective) to first determine strategically what kind of response it should have, based on the sales training KB, and then pass that to another LLM to actually generate the response. I'm thinking that would increase the quality of the responses, but again might be cost prohibitive since there would be two LLM calls per inbound text anywho, would love to hear the tech stack others are using / have used successfully, and how they overcome the QC issues when relying on their LLM to generate a response.