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🔒 Live Q&A w/ Brendan Jowett is happening in 46 hours
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Build AI Voice Agents INSTANTLY with ChatGPT
Build AI voice agents instantly using ChatGPT's new native Retell AI integration. This tutorial shows you how to create voice agents through ChatGPT's interface without writing code or dealing with complex APIs. Check it out 👇
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🏆 $5K Retell Hackathon Winners Announced!
The submissions are in, the judging is done! We had builders go full production-ready, deploy live apps, and architect systems that genuinely belong in real businesses. Here's who came out on top. 🥇 1st Place: @Haris FOlas: AI-Powered Property Maintenance Dispatcher Runs a full 5-step automated lifecycle: Voice Triage, Tenant Identity Verification via Supabase, Twilio SMS + photo upload via Tally.so, GPT-4o Vision diagnosis and cost estimation, and FSM smart dispatch to the right technician. Walkthrough Video: https://www.loom.com/share/eb47280de5aa424db1a8885d9f241c45 🥈 2nd Place: @Ryan Smith: Personal AI Phone Concierge Makes calls on behalf of the user across 13 different categories. It's already a live, published app. Google Places, Retell, a Replit backend, Zapier post-call processing, SMS delivery. It even has a HIPAA-aware identity layer for doctor and pharmacy calls. Demo Video: https://www.youtube.com/watch?v=Ia7CmwfvudY 🥉 3rd Place: @Steed Amoussou: Bilingual AI Car Negotiation Agent Scout calls car sellers on behalf of buyers, runs a legitimate negotiation framework (anchoring 8-12% below the buyer's ceiling, 3-round counteroffer ladder, fraud detection), and does it in both English and French. The backend is a fully automated pipeline: AI-powered scraping feeds an Airtable database, Relay triggers the outbound calls, and WhatsApp and email notifications fire when a deal closes. Walkthrough Video: https://www.loom.com/share/f5fcdbe169ff49a19e8366d06032f925 🏅 Honourable Mention: @Achyuth Kumar Pasnoor: Dental AI Receptionist with OpenDental PMS Integration 🏅 Honourable Mention: @Hammad Zahid: MedSpa Full AI Lead System (Inbound + Outbound)
🏆 $5K Retell Hackathon Winners Announced!
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✅ GETTING STARTED 👉 (READ THIS)
Hey there, Thanks for joining the community, it's great to have you here! It'd be great to get to know each other! You can use this simple format to make an intro post: Hey, I'm from ____________. For fun I like to _____________. Here's a pick of my workspace. ------ To access the resource hub, please click 'Classroom' at the top, then click 'Resource Hub'.
✅ GETTING STARTED 👉 (READ THIS)
The Darkside of AI Voice Agents (The Truth)
This video is a guide to the five hard-earned lessons learned from deploying AI voice agents in the real world for over two years. Based on experience running a voice AI agency and selling systems for over $12,000 each, this guide covers what works, what breaks, and what tutorials don't warn you about. This is essential knowledge for avoiding legal issues, angry clients, and agents that crash upon launch. Check it out 👇
Probabilistic v Deterministic
Hi all - I'm building out my first voice agent, and having nearly 30 years of traditional (deterministic) dev behind me, my spidey senses are struggling with the probabilistic nature of it all. It seems like my system prompt looks solid, and then I'll test a conversation and the agent will get something wrong, whereas it got that right the 14 previous times. Sometimes it seems the LLM just decides to ignore a specific instruction that it didn't ignore previously. It feels like I'm going to be going through hundreds of system prompt iterations before I'll be confident it's not going to mess something up? Is there a standard way you guys deal with this? Or is going though this pain just something you all do every time?
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