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1d •
🚀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 🚀
3d •
Resume Scorer Ranked 127 Candidates - HR Reviewed Only Top 20 (8 Nodes) 🔥
Job posting goes live. 127 resumes arrive. HR has 3 hours to review. Built resume scorer. Weighted algorithm. 127 ranked automatically. HR reviewed top 20 only. Hired candidate #3. THE HIRING BOTTLENECK: Every resume opened manually. Read through. Gut feeling score. Next one. Inconsistent. Slow. Biased. Good candidates buried at resume #87. Never seen. Lost to competitor. THE DISCOVERY: Document extraction pulls structured candidate data. Code applies weighted scoring algorithm. Candidates ranked objectively. Top scores get interviews. Others get polite auto-reply. THE WORKFLOW: Gmail trigger catches applications → Get message with resume → Code renames binary → Document extraction pulls name, experience, skills, education → Code applies scoring algorithm → Sheets adds to ATS tracker → Gmail sends auto-reply → Slack notifies HR with score and status. 8 nodes. Objective candidate ranking. THE SCORING ALGORITHM: 100 points total, weighted: Experience (40 pts): 7+ years = 40, 5+ = 35, 3+ = 25, 1+ = 15 Education (30 pts): PhD = 30, Masters = 25, Bachelors = 20 Skills match (30 pts): 3 pts per matched skill (max 10 checked) Customizable. Required skills array in code node. Change for each position. THE STATUS ROUTING: Score 75+ → Schedule Interview Score 50-74 → Review Further Score <50 → Pass HR sees status immediately. Focuses time on promising candidates. THE TRANSFORMATION: Before: 3 hours reviewing 127 resumes. Fatigue affects later reviews. Inconsistent criteria. After: 20 minutes reviewing top 20. Objective scoring. Better candidates identified. THE NUMBERS: 127 candidates scored Top 20 reviewed by HR Hired candidate ranked #3 Review time: 3 hours → 20 minutes Template in n8n and All workflows in Github What skills would you weight highest for your next hire?
44m •
Delivered My First Client Project – 24/7 Voice AI Receptionist
As mentioned in the title, I just delivered a project which is a 24/7 Voice AI Inbound Receptionist for trade businesses. Took me about two months working closely with my client and I implemented it using Vapi, n8n, as well as Simpro, which is a field service management software specifically for the trades. The entire system does the following: - Answers inbound calls automatically - Handles job bookings, rescheduling, cancellations - Forward calls to person in charge in case of emergencies - Answers general enquiries - Creates or updates records directly inside Simpro The goal was simple: Reduce missed calls and automate admin while technicians are on-site working. In total, my client paid me just over $2,000 for this implementation and service, it's definitely a huge win for me. Happy to connect with anyone exploring Voice AI automation for service businesses. ps. You can check out this website for the demo recordings: https://simpro-voice-agent.com/ pss. I would love to share a screenshot of the n8n workflows but I think my client's VPS server is down as of writing 🫠
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