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20h •
🚀New Video: Turn Any Website Into LLM Ready Data INSTANTLY
In this tutorial, I show you how to turn any website into LLM-ready data in seconds using Firecrawl and Claude Code. We cover everything from scraping content and extracting branding information to mapping entire sites and pulling structured data. I walk through setting up the Firecrawl MCP server in Claude Code, then demonstrate real use cases including scraping 200 job listings from a remote job board and extracting branding details from landing pages. The best part is you don't need to think about configuration or which API endpoints to use. Just tell Claude Code what you want and it figures out the rest. FIRECRAWL DISCOUNT
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2d •
For beginners who don't know where to start
Most AI tutorials are made by developers, for developers. They skip steps. They throw around jargon. They assume you already know things you don't. You watch video after video and somehow end up more confused than when you started. That's not a you problem. That's a teaching problem. I made something that fixes it: -> For beginners who don't know where to start PS: If you’re already an AIS+ member, we will be rolling this out to you for free shortly. No need to buy it.
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6d •
🏆 Weekly Wins Recap | Jan 31 – Feb 6
This week inside AIS+ was packed with real traction. First clients landed, outreach fears broken, systems shipped, and builders stepping into confidence instead of overthinking. Here are a few standout wins inside AIS+ 👇 👉 @Ahmed Bin Faisal signed his first client via Upwork just one month after joining - full automation delivered and a very happy client. 👉 @Joe Scott scaled from £1K workflow builds to £30K AI agent projects by selling outcomes, not tools. 👉 @Deniz G built his own internal business app using n8n, Claude, and Supabase - CRM, inbox sync, lead scoring, and AI assistant all live. 👉 @Anthony Rako left his dev job, bet on himself, and landed a €2,380 real estate automation contract. 👉 @Nick Stadler cold-called 10 businesses and booked his first discovery call - outreach muscle officially activated. 🎥 Super Win Spotlight: @Gerard Vazquez | First Client Through Action Gerard joined AIS+ looking for clarity, real support, and a place to actually build.Instead of waiting, he reached out to people he already knew, booked multiple calls and closed his first consulting client at €1,500. With help from the community, he solved issues faster, delivered confidently, and proved to himself that action beats endless research. 🎥 Watch Gerard share his story 👇 Gerard’s journey shows that you don’t need everything figured out - you just need to start the conversation and keep moving. ✨ Want to see wins like this every single week? Join AI Automation Society Plus and turn learning into real outreach, real clients, and real momentum 🚀
21h •
Patient Intake Processor Alerts on Critical Allergies Instantly (8 Nodes) 🔥
Medical clinic. Patient fills intake form. Someone types it all into system. Allergy information buried on page 3. Built intake processor. Critical allergies trigger instant alert. Different Slack channel. Staff knows immediately. THE HEALTHCARE DOCUMENTATION RISK: Penicillin allergy on form. Nurse doesn't see it until patient is in room. Doctor almost prescribes it. Near miss. Documentation existed. Wasn't surfaced fast enough. THE DISCOVERY: Document extraction pulls complete patient information. Code checks allergies against critical list. Different routing based on severity. Critical allergies go to urgent channel. Everyone sees it. THE WORKFLOW: Google Drive trigger watches intake forms → Download PDF → Document extraction pulls patient info, insurance, medical history, medications, allergies → Code processes and checks for critical allergens → Sheets creates patient record → IF checks critical allergy → TRUE: Slack urgent channel alert → FALSE: Slack routine intake notification. 8 nodes. HIPAA-aware design. THE CRITICAL ALLERGY DETECTION: Code maintains critical allergen array: penicillin, sulfa, latex, iodine, aspirin, nsaids. Patient allergy list checked against array. Any match triggers urgent routing. Different Slack channels: #critical-alerts vs #patient-intake. Staff knows the difference. THE DATA EXTRACTION: JSON Schema captures: Patient info (name, DOB, contact), insurance details, medical history, current medications with dosages, allergies with reaction severity, emergency contact, reason for visit. Code calculates age from DOB. Formats medications list. Flags "NKDA" if no allergies. THE TRANSFORMATION: Before: Manual data entry. Allergy information buried. Near misses happen. After: Automatic extraction. Critical allergies surfaced instantly. Staff prepared. THE NUMBERS: 200 intake forms monthly 6 critical allergens monitored Instant alert on match Data entry: 15 minutes → 2 minutes review HIPAA NOTE: Self-hosted n8n recommended for PHI.
Oct '25 •
Need Help Setting Up GHL Automations That Actually Convert?
Hey everyone! If you’re ready to take your GHL setup to the next level, check out my Fiverr gig here https://www.fiverr.com/promiseghlflows/setup-ghl-crm-automation-lead-workflow-source-facebook-thumtack-integration If you’re using GoHighLevel (GHL) and want to automate your CRM, capture leads efficiently, and integrate sources like Facebook or Thumbtack, I can help you build a smooth and professional system that saves you hours every week. I specialize in: 1. GHL workflow setup & automation 2. CRM customization 3. Lead tracking and pipeline organization 4. Integration with Facebook, Thumbtack & other lead sources If you’re ready to take your GHL setup to the next level, check out my Fiverr gig here Let’s get your automations running like clockwork and make sure no lead slips through the cracks 🔥
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