Hi all, We’re a new AI agency based in Pakistan, currently offering AI receptionist services to businesses in the US. Since we’re just starting out, we’ve decided to avoid cold calling for now and are focusing on cold email. We’re also considering Facebook/Instagram outreach, but building an audience and getting responses there seems quite time-consuming. Would WhatsApp DMs be effective for reaching US businesses, or are there other platforms/channels you’d recommend for getting our first few clients? Would really appreciate practical advice from anyone who has experience selling AI receptionist/voice agent services.

This video shows you how to use Claude Code to build an AI lead generation system that scrapes Indeed job listings, finds decision maker emails, and drafts personalized outreach automatically. Perfect if you want to sell AI automation services to businesses hiring for roles that can be replaced or enhanced with AI. You'll set up two MCP servers inside Claude Code. Scrape Unblocker handles scraping Indeed without getting blocked by anti-bot systems, pulling back clean formatted job listing data. And Treg MCP for high quality, quick lead enrichment. Check it out! 👇

Build a custom CRM web app using Claude Code with zero coding experience. This step-by-step tutorial walks you through creating a fully functional CRM, pushing it to GitHub, and hosting it live on Hostinger so your entire team can access it from anywhere. You'll learn how to set up Claude Code in Visual Studio Code, install the front end design skill for better UI styling, connect GitHub for version control, and deploy using the official Hostinger plugin. Check it out! 👇

Today I completed my Real Estate AI Voice Agent system. This started as a voice-agent experiment, but I wanted to take it beyond simply answering calls. I also built a dedicated real estate website around the system to demonstrate the complete experience. Live website / demo: https://kimberly-dalton.vercel.app/ The system now connects the conversation to the actual business workflow: • Lead capture & qualification • Property search & details • Appointment availability & booking • Rescheduling & cancellations • Lead updates & status tracking • Property details delivery • Follow-up automation • Agent notifications • Human handoff • Call outcome tracking • Confirmation workflows Built with Retell AI + n8n + webhooks + CRM/database + calendar automation. The biggest lesson from this build: A voice agent is only one part of the system. The real value comes from what happens after the conversation — when the AI can understand, make decisions, take actions, update the business system, and know when a human needs to step in. Day 34 — from AI that talks to an AI system that actually takes action. Next step: stress-testing the system with messy real-world conversations and edge cases. #AI #VoiceAI #RealEstateAI #AIAutomation #AIAgents #n8n #RetellAI #CRM #Automation #BuildInPublic #Day34

I’m looking for some guidance on how to minimize my Retell costs while maintaining good voice-agent quality. Specifically, what would be the recommended settings for LLM/model, knowledge base, voice/TTS, and other configurations to keep the cost per minute as low as possible without significantly affecting the user experience? Would appreciate any practical tips from those already running Retell agents in production.