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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
What matters in Automation
What Actually Matters in Automation (Not the Tools) Most people think automation is about speed. It’s not. Automation is about reducing mistakes while scaling decisions. If you miss this, everything else falls apart. 1. Process clarity comes first:- >Before you automate anything, you should be able to answer this clearly: What starts this process? What information is required? What decisions are being made? What ends the process? If you can’t write this in plain language, automation will only hide the confusion — not solve it. Clear process → reliable automation. 2. Decision logic matters more than actions:- Sending messages, updating sheets, triggering APIs — that’s easy. >The hard part is deciding: when to act why to act when not to act Good automation is decision-driven, not action-driven. 3. Context is non-negotiable:- Automation without context behaves like spam. >Your system should know: what already happened who interacted last what stage the user is in what the last outcome was Context turns automation from “noise” into help. 4. Boundaries prevent damage:- >Every automation needs limits: maximum attempts clear stop conditions escalation rules If your system doesn’t know when to stop, it will eventually cause problems at scale. 5. Visibility is safety:- If automation fails silently, it’s dangerous. >You should always know: when something breaks what decision was made why it happened Logs and alerts matter more than fancy dashboards. 6. Consistency beats intelligence:- A predictable system is more valuable than a smart one. If the same input produces different outputs, trust disappears. Consistency is what allows automation to scale safely. 7. Human override is not optional:- The best automation still allows human control. Not because automation is weak — but because judgment, nuance, and accountability still matter. Automation should assist decisions, not escape responsibility. Final truth::-- Tools change. Models improve. Platforms come and go.
Rejected 73 Prospects Year One - Built Business on the 10% 😱
Said yes to everyone year one. Any industry. Any problem. Any budget. Result: $27,600 revenue, burned out by month 6. Year two: Rejected 73 prospects. Focused on 10%. Revenue: $51,200. THE MISTAKE EVERYONE MAKES: Desperate for revenue. Said yes to everything: - Podcast workflow automation - Social media scheduling - E-commerce inventory - Newsletter tools - CRM setup - Random Zapier requests 11 different industries. 23 clients. Generic solutions. Price competition. Constant context switching. THE MOMENT THAT CHANGED EVERYTHING: Tuesday morning. Email: "Can you automate our podcast editing workflow?" Me internally: "I have zero experience with podcast production." Me externally: "Sure, I can figure it out." Spent 40 hours learning podcast tools. Built mediocre automation. Made $800. Got zero referrals (wasn't actually an expert). Same week: Turned down invoice processing inquiry. "Too busy with podcast project." That invoice inquiry went to competitor. Became $18,000 annual contract. I chose $800 podcast project over $18,000 invoice contract because I couldn't say no. THE NEW CRITERIA: I ONLY say yes to: - Document-heavy workflows (my actual expertise) - Recurring monthly volume (ongoing revenue, not one-time projects) - Industries with tight networks (healthcare, legal, accounting, real estate) - Budgets over $3,000 setup (serious buyers, not tire-kickers) Everything else: Polite decline + referral to better-fit consultant. THE RESULTS: YEAR 1 (saying yes to everything): - Clients: 23 - Average project value: $1,200 - Industries: 11 different - Referrals generated: 3 total - Revenue: $27,600 - Mental state: Burned out YEAR 2 (rejecting 90%): - Clients: 8 - Average project value: $6,400 - Industries: 3 focused (healthcare, legal, real estate) - Referrals generated: 19 total - Revenue: $51,200 - Mental state: Sustainable WHAT HAPPENED WHEN I SPECIALIZED: Referrals exploded: - Healthcare attorney → referred 3 other healthcare attorneys
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AI Automation Society
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A community built to master no-code AI automations. Join to learn, discuss, and build the systems that will shape the future of work.
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