How many of you are running: • A course • A community • An AI agency • Client fulfillment • Content • Sales calls • Support/messages …all at the same time? Genuine question. At what point did it start feeling like the business owns you instead of the other way around? I keep seeing founders hit this weird stage where growth actually creates more chaos: - DMs pile up - Team communication breaks - Clients need constant attention - SOPs live in 7 different places - Follow-ups slip - Operations become reactive Especially for people running communities + services together. Curious how many people here are dealing with that right now and what part is the biggest bottleneck for you?

This time, I built a highly trained AI Real Estate Assistant that works exclusively for FSBO (For Sale By Owner) sellers… helping them potentially net more money — even after paying commission. The AI Assistant isn’t just a chatbot. It calls, receives calls, sends SMS, sends email alerts, and even self-schedules follow-ups. Here’s what it does for the real estate team: Tasks the AI Handles: - Identifies the seller’s motivation and opens the door for a conversation - Shifts the conversation to a Net Result Framework (focusing on total money in pocket, not just commission saved) - Offers a no-pressure 15-minute walkthrough appointment - Collects and confirms contact details - Makes unsure sellers feel comfortable, without pushing them Objections it’s trained to handle (like a seasoned agent): 1. “We want to save commission” — Reframes the conversation around net profit 2. “Do you have a buyer?” — Explains realistic buyer strategy 3. “I’ve done this before” — Shows how to do it better and stress-free 4. “I have a realtor that will list if I don’t sell” — Positions itself as a second opinion, no pressure How it works in real time: - Uses casual, friendly language so sellers feel like they’re talking to a real person, not a script - Asks one question at a time and listens before moving forward - Only aims to book a property walkthrough — never tries to list the home over the phone - Sends immediate email notifications to the team with lead details - Schedules appointments in the right time zone, with confirmations sent automatically - In follow-ups, pick up exactly where the last conversation ended — the system remembers every detail. The end result? My client now has a 24/7 AI prospector who handles cold calls, warm follow-ups, and objection handling like a top-performing agent… without the payroll cost. Another win. Another $3,500 project. Automation is insane - and I’m loving it more every day.

Just shipped v1 of an AI Coach for a company whose end users are U.S. military personnel. This was a serious build.The interface, reliability, and flow had to be tight—no distractions, no learning curve. What I built - A custom AI Coach web app - Real-time voice-based coaching - Focused, distraction-free user interface - Conversation transcripts with in-flow email verification - Architecture designed to scale cleanly into v2 Tools used - VoiceFlow (API-based) - Lovable (UI foundation) - n8n (automation + logic orchestration) - GoHighLevel (GHL) for user flow, tracking, and ops How it was built We aligned first on the experience and interface the client wanted. From there, I designed the system architecture to support that experience without compromising UX or scalability. Most of the complexity wasn’t the AI itself—it was: - Coordinating voice, logic, and state cleanly - Keeping the experience simple for users under pressure - Building something production-ready, not a demo Timeline - Planned: 10 days - Delivered: 3 days Fast execution came from clarity, not shortcuts. Pricing - v1: $4,500 - v2 roadmap: $15,000 (already scoped and approved) Strong reminder: People don’t pay for AI tools. They pay for outcomes, Judgment, and Clean execution. On to v2.

Hey Broskis, Happy New Year! 🎉 Hope you’re all doing well and starting the year strong. How are you generating clients these days? What’s been working for you so far, and what hasn’t? Also curious, what new strategy or approach are you planning to apply for client generation in 2026 as things keep evolving?

Want to make money with AI? Stop trying to build it. Learn how to sell solutions Right now, thousands of people are stuck on the wrong question: “Should I learn Python?” “Should I build my own AI model?” “Do I need to be technical to work with AI?” Here’s the truth nobody says clearly enough: Businesses don’t pay for AI. They pay for outcomes. No client wakes up thinking, “I want a custom neural network today. ”They wake up thinking,“I’m losing leads.” “My team wastes time.”“My support is slow.” AI is just the tool. The solution is what gets paid. Here’s how the game actually works: 1️⃣ AI builders aren’t the shortage. AI sellers are. Building AI models is hard, expensive, and slow. Selling AI solutions is about understanding workflows, bottlenecks, and ROI. If you can explain how AI saves time or money,you’re already more valuable than someone who just “knows the tech.” 2️⃣ You don’t need to invent. You need to integrate. Most winning AI businesses don’t create new models.They connect existing tools into practical systems. Chatbots. Voice agents. Automations. Follow-ups.Data routing. Simple systems. Real impact. 3️⃣ Clients buy clarity, not complexity. The moment you start talking about LLMs, tokens, or architectures,you lose the room. But say this instead: "This will handle 80% of your customer queries automatically.” “This saves your staff 15 hours a week.” Now you have attention—and trust. 4️⃣ The money is in implementation. AI tools change fast. Business problems don’t. If you can map a business problem → AI-powered workflow → measurable result, You’re not “in AI." You’re in demand. You don’t need to be technical. You need to be useful. The future won’t belong to people who build the smartest AI. It will belong to people who help others use AI profitably.