Everything seems pretty easy when you're getting the first version together, but where does it start getting complicated or breaking down when you're trying to actually finish and launch it? I just want to know what to expect!

After several rounds of testing, I’m happy to say the Real Estate AI Voice Agent I’ve been building inside GoHighLevel is ready to deploy. ✅ Over the last few days, I’ve: - 🧠 Refined the master prompt - ⚙️ Added and improved system prompts - 📅 Integrated appointment booking through the GHL calendar - 🔄 Added rescheduling - ❌ Added cancellation - 🔍 Added availability checking - 📚 Connected the Knowledge Base - 🧪 Tested the agent multiple times with different scenarios, questions, and tasks I specifically wanted to make sure it could handle more than just the “happy path” and behave properly across different types of conversations. After multiple tests, everything is working as expected. The agent is now ready for deployment. 🚀 Now I’m looking at the next step: what should I build next? Would love to hear ideas from the community — especially features that could solve a real problem for real estate businesses. What would you add? 👇

Finally fixed my demo — need your honest feedback 👇 Quick update: I reworked my AI receptionist demo based on your feedback. Old version: → 2:49 long → Trying to show everything → Honestly… felt like a tutorial, not a demo New approach (much simpler): 1. Call first (no distractions) 2. Show the moment it turns into a booked job 3. Then quick “missed calls → revenue” proof That’s it. Also added a basic dashboard to track: • Missed calls • Booked jobs • Revenue recovered vs lost One week test data: → $4,150 recovered → $18,200 lost from missed calls → 50 missed calls Made me realize… This isn’t a “cool AI demo” It’s literally a revenue leak problem Where I need your help: I’ve cut the demo down, but want to make sure it actually converts, not just looks good. For those who’ve landed clients: 👉 What’s the ONE moment in the demo that made people say “I need this”? Is it: • The voice realism? • The booking moment? • Or the revenue proof after? I’ll drop the updated version in the comments shortly. Would really appreciate honest feedback 🙏 #AIVoiceAgent #HVAC #LeadConversion #SalesSystems #BuildInPublic #ClientAcquisition

I’m currently working on an AI receptionist for HVAC companies (handling inbound calls + booking jobs). One issue I’m thinking about: 👉 How are you handling real-time interruptions during tool execution? Example: - Caller is speaking - AI is collecting details (name, issue, time) - Suddenly caller changes request or adds emergency info - Or interrupts mid-flow Right now I’m seeing cases where: - The conversation flow breaks - Or the tool gets triggered too early before full context is captured Curious how others are solving this: - Do you rely more on strict state management? - Or dynamic LLM re-evaluation after each turn? - Or interrupt handling at the voice layer (not model)? Would love to hear how you’re structuring this in production systems.

Hey everyone! 👋 I'm Takeichi, an AI & Full-Stack Engineer based in Japan. I've spent the past 10+ years building production software, with the last several years focused on AI systems and automation. Most of my work has been around: - 🤖 AI Agents & Agentic Workflows - 🧠 LLM Applications & RAG Systems - ⚡ Workflow Automation - 🐍 Python (FastAPI, Flask), TypeScript/Node.js - ⚛️ React & Next.js - 🔗 API integrations and backend architecture - 👁️ Computer Vision & OCR I've built AI research agents, document intelligence platforms, multi-agent workflows, AI voice systems, and automation tools that integrate with third-party services and enterprise systems. I'm here to: - Learn from other builders - Share ideas and technical knowledge - Exchange AI automation workflows - Connect with people building real-world AI products Looking forward to meeting everyone! Feel free to say hi or reach out if you're working on AI agents, automation, or LLM-powered products. 🚀 Portfolio: https://contra.com/takeichi_inoue_65rexfis/about Email: inoue.takeichi@gmail.com Telegram: https://t.me/HustorAI WhatsApp: +81 80-9299-0062