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Day 3/7: Watch My AI Agent Qualify Leads Like a Pro 🎯
Yesterday I showed you the backend infrastructure. Today? Watch my AI voice agent in ACTION doing full outbound calls . What's happening in today's demo: ✅ Cold outreach that doesn't sound robotic ✅ Natural business discovery conversations ✅ Problem identification & pain point extraction ✅ Real-time lead qualification scoring ✅ Smart objection handling (not pushy, just persistent) ✅ Automatic contact capture when timing isn't right Here's what blew MY mind while testing: The agent doesn't just read a script. It LISTENS. It ADAPTS. When a prospect says "not interested right now" - it doesn't give up. It pivots to gather intel for future follow-up. Name. Email. Pain points. Timeline. All captured automatically. The result? Every call generates data. Even the "no's" become valuable leads for nurture campaigns. No manual note-taking. No forgotten follow-ups. No leads falling through the cracks. What I'm building next: 1. Sentiment analysis & emotion detection 2. Auto-scheduling for interested prospects Demo video below 👇 Want to see this calling YOUR prospects? DM me. 4 days left. The momentum is building. 🔥 #Day3 #AIVoiceAgent #OutboundSales #LeadQualification #ConversationalAI #SalesAutomation #AIAgent #BuildInPublic #VoiceAI #LeadGen #SaaS
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Day 3/7: Watch My AI Agent Qualify Leads Like a Pro 🎯
Day 2/7: Backend Magic Revealed 🔥
Yesterday I showed you the front end. Today? Let me pull back the curtain on what makes this AI voice agent actually work. What's new in Day 2: ✅ Call recording & storage ✅ Real-time transcription capture ✅ Integration with n8n/Make.com (automate EVERYTHING) ✅ Gemini voices implementation ✅ Customer objection handling (working on this NOW) ✅ Budget concerns management system The best part? All of this runs smoother and faster than ElevenLabs or Vapi, at a fraction of the cost. What I'm tackling next: 1. Advanced objection handling workflows 2. Dynamic pricing conversation flows 3. CRM auto-sync capabilities Day 2 demo in the video below 👇 Still rough around the edges, but the infrastructure is solid. Want this for your business? DM me and let's talk. Questions? Drop them in my DMs. I read everything. 5 days to go. Let's build. 🚀 #AIVoiceAgent #Day2 #BuildInPublic #AIAutomation #ConversationalAI #VoiceAI #Deepgram #GeminiAI #LeadGeneration #SaaS
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Day 2/7: Backend Magic Revealed 🔥
Official Fal.ai and N8N Integration
Fal.ai and n8n are now officially integrated, and this is a game-changer for anyone getting into AI automation. I've used fal heavily throughout my tutorials, and now you have a much easier way to plug it into your workflows without writing a single line of code. https://www.youtube.com/@automation-tribe Here's the quick breakdown: - 🎯 Combine fal workflows + n8n workflows together - 🤖 No-code generative AI automation — beginner friendly - 🗄️ Access 1,000+ generative media models directly in n8n, powered by fal If you're just starting out, this is honestly one of the best setups you can learn right now. It's powerful, flexible, and way more accessible than it used to be.
Official Fal.ai and N8N Integration
Less Hype, More Structure With AI
Lately I’ve been spending a lot of time thinking about how AI video and AI automation actually fit into real businesses. Not the hype. Not the “replace your whole team” talk. Just practical use. On the video side, tools like HeyGen, Veo 3, Runway, and ElevenLabs have made it easier to create content without a full production setup. You can test ideas faster. You can create explainer videos, short-form content, training materials, or simple ads without booking studios or voice actors. But what I’ve noticed is this: AI video only becomes powerful when there’s a system behind it. That’s where automation comes in. Using tools like n8n, Make.com, or Zapier, you can build workflows that take an idea from a simple form or prompt and move it through scripting, voice generation, video creation, review, and publishing. Not fully hands off, but structured enough that it doesn’t feel chaotic. I’ve also been exploring OpenClaw for more advanced AI agent workflows, and Replit for testing and deploying small automation tools. When you connect these systems properly, things start to feel organized instead of overwhelming. For me, the real value of AI isn’t speed alone. It’s clarity. Clear processes. Repeatable systems. Less manual back and forth. AI video helps you communicate. AI automation helps you scale that communication without burning out. Right now, I’m building a few automation systems for free for business owners who genuinely want to improve how they operate. In return, I’m simply asking for an honest review and feedback on the work. Nothing fancy, just real experiences. If you’ve been thinking about organizing your systems or experimenting with AI video in a structured way, feel free to reach out. I’m happy to talk it through.
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Are any of you using Claude Code Skills in your workflow?
For those who don't know, Skills are like custom commands you can give Claude - you write a simple instruction file and Claude follows it every time you call it. Super powerful once you get the hang of it. I'd love to know: ✅ Which Skills have you tried or found useful? ✅ Any free/beginner-friendly ones you'd recommend to the community? ✅ What are you using Claude for - trading bots, content creation, coding projects? Share below and let's help each other get more out of AI! 🚀 P.S. If you haven't explored Skills yet, drop a comment and I'll point you in the right direction to get started.
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