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🔒 Q&A w/ Nate is happening in 3 days
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🚀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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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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🏆 Weekly Wins Recap | Feb 7 – Feb 13
Big contracts, First clients, Real cost savings.This week inside AIS+ was about execution over excuses. Here are a few standout wins inside AIS+ 👇 👉 @Glenn Marcus closed a $60K Agentic Engineering contract in 72 hours after launching his new agency site. 👉 Ai Stromae built an automation saving a client €30K per year - €1K paid upfront with referrals coming. 👉 @Mike Thomson landed his first real paying client through persistence and smart follow-ups. 👉 @Jeremy Aune closed his first AI voice assistant client - with expansion already in discussion. 👉 @Meir Heimowitz cut $1,400/month in business costs using Claude Code automations. 🎥 Super Win Spotlight: @Glenn Marcus | $60K in 3 Days Glenn launched his new agency site on Thursday. A friend forwarded it to a CEO. By Tuesday, a $60,000 contract was signed. But this didn’t happen overnight. Through AIS+, Glenn sharpened his thinking around real use cases, agentic systems, and applying AI to actual business problems - not just tools. That clarity gave him the confidence to pivot his consulting company into an Agentic Engineering firm. The result? Right message. Right positioning. Right timing. $60K in 72 hours. His story is proof that when preparation meets opportunity, things move fast. If you’re AI-curious or already building, this is what momentum looks like. 🎥 Watch Glenn share his story 👇 ✨ 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 🚀
🏆 Weekly Wins Recap | Feb 7 – Feb 13
Error handling
How you're handling your automation errors.
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26 members have voted
I replaced my $1300/month AI support chatbot for $0
This is pretty cool, I replaced my $1300/mo Intercom Fin AI support agent with this local private n8n AI agent team that costs $0, uses MCP for Stripe and Betterstack (logging), and also uses the new n8n "AI Agent Tool" node (thanks to Nate's recent tutorial!). For context, Intercom Fin AI agent charges $1 per resolution; it was nice to get up and running instantly and help me scale, but now way too expensive. The first AI agent decides if a response is needed based on the conversation so far (e.g. if customer replies "thanks" this doesn't need a response). Then, the AI agent router decides which AI Agent Tool (sub agent) should handle the request: General agent, Stripe billing agent, Technical agent with access to Betterstack logs (and in the future, will give it Write access to Supabase for specific fields). Surprisingly, for the General agent, I didn't have to setup RAG, I just gave chatgpt 4.1 a link to my help docs. Final response is sent back to Intercom messenger via API.
I replaced my $1300/month AI support chatbot for $0
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