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🔒 Q&A w/ Nate is happening in 5 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 | 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 🚀
🏆 Weekly Wins Recap | Jan 31 – Feb 6
Automation failure reasons 2
5. Maintenance is part of the design Automation is not “set and forget”. Things change: offers behavior platforms expectations If maintenance isn’t planned, automation slowly becomes outdated and harmful. 6. Cost of error must be understood Not all mistakes are equal. Some errors are harmless. Others damage trust, money, or reputation. High-risk actions should always have: extra checks human review conservative logic Risk-aware automation scales safely. 7. Automation should reduce thinking, not visibility A good system reduces the number of decisions you make. A bad one forces you to constantly monitor it. If you’re always checking: “Did it work?” “Did it send?” “Did it mess up?” The automation isn’t finished. Closing thought:-> Automation is not about replacing effort. It’s about reducing cognitive load. When built right, you stop worrying about the process — and focus on outcomes. That’s when automation actually earns its place. :-> 1.more add-ons? 2. Which point is most painful in automation to handle? 3. Point to convert to be better? 4. Which point is best fit for you?
Your First AI Agent Training- Need Help
I added the 'Google Drive' node (Search and Files) in n8n and selected 'Create a new connection' under the credentials section. However, I noticed that the interface differs from the training video. Since I do not have a Google Workspace account, I am using my personal Google email to sign in. Although I received a message stating the connection was successful, I’ve encountered two issues: 1. Missing Redirect URL: The 'OAuth Redirect URL' is not displayed in the n8n credential setup screen. 2. OAuth Configuration: Without that URL, I cannot complete the 'Authorized Redirect URIs' section in the Google Cloud Console. Screenshots for reference: - Screen 1: The training video setup. - Screen 2: My n8n screen when creating a new connection (URL missing). - Screen 3: The confirmation screen after signing in with my Google email. - Screen 4: The Google Cloud Console, where I need to create the OAuth Client ID."
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Your First AI Agent Training- Need Help
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