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🔒 Q&A w/ Nate is happening in 5 days
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If you've ever felt "AI Overwhelm", please read this.
Every single person following AI right now is overwhelmed. Including me. I make videos about this stuff for a living and I still feel the pressure. New model drops. New framework. New feature update. It feels like every single day. But after hearing a ton of you guys bring up "AI overwhelm" week after week, I realized this: → There's a HUGE difference between knowing the "what" and knowing the "how." Staying aware does not mean testing everything. Most new tools and features only need the "what." You see the title. You understand what it does. You move on. The "how" is reserved for the stuff that solves a problem you actually have right now. So when something new drops, I ask myself one question: Does this solve a specific pain point I'm currently dealing with? If yes, I test it in a real scenario. I test it against something that actually matters to me. If no, I save the link. I mentally file it away. And I keep walking. Because here's the thing. Your north star is probably very different from mine. Part of my job is to experiment, form opinions, and share what I think is useful. So naturally I test a lot of stuff. But if your north star is building a business or getting better at your craft, then every shiny new tool might just be a distraction. The number one mistake I see people make is they try to learn everything. They watch every video. They test every tool. They jump to the next thing before the last thing even had a chance to work. And if I've contributed to your overwhelm with my daily uploads, I apologize. hehe. But a lot of people think that this ties directly into how you measure your day. Productivity is not how many hours you worked. It's how many meaningful outputs you created that actually moved the needle towards your north star. Someone can work 12 hours one day and feel insanely productive, but they were just watching tutorials and playing around with new tools. Meanwhile someone else sits down for 5 hours, ships the one thing that actually matters, and makes more progress.
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The skill clients pay $5000+ for (and it’s not automations)
I’ve been watching our 3,700 students in AIS+, and I noticed the people making the most money are all doing this: https://app.aiautomationsociety.ai/10-hours The people charging $5,000, $10,000, even $50,000 per engagement weren't better builders. Before they ever opened n8n/Claude Code, they did one thing differently: → They found the automations worth building first. It’s like a mini audit. Just by asking a few questions and mapping out the opportunities, they were able to get clients excited and also choose the right projects to work on. And the best part is you can practice by running this same system on YOURSELF. I call it 10 Hours to 10 Seconds, because doing this can easily save you or your clients 10 hours a week by automating the right things. Get all the details here: https://app.aiautomationsociety.ai/10-hours Talk soon, Nate PS: If you’re in AIS+, this has already been updated and provided to you at no cost. You can find it in the classroom
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🏆 Weekly Wins Recap | May 16 – May 22
From first client wins and live workflows to AI voice agents, portfolio momentum, and production-level fixes - this week inside AIS+ showed what happens when builders keep stacking reps consistently. 🚀 Standout Wins of the Week inside AIS+ 👉 @Michael Garcia closed his first major deal with a wholesale real estate automation engine handling property sourcing, Claude-based deal scoring, and investor pipeline management. 👉 @Luca Giovinazzo delivered his first full client project live — including 11 n8n workflows, CRM systems, Telegram bots, inventory tracking, booking systems, and KPI dashboards for an auto detailing business. 👉 @Paulo Calpatura built a fully automated AI voice receptionist using Vapi, n8n, Claude, Google Maps, Google Calendar, Google Sheets, and ElevenLabs. 👉 Bo Gonzales presented two AI builds internally, stood out in front of 79 employees, and ended up in a 30-minute AI strategy conversation with his CEO. 👉 @Shatadru Majumdar joined just 7 days ago and already completed multiple AIS+ modules while shipping a customer-support workflow using n8n + Claude. 🎥 Super Win Spotlight | @Griffin Maklansky Griffin joined AIS+ after getting laid off and within a month and a half, landed a new AI-focused role. What started it all? Watching Nate’s “Master 95% of Claude Code in 36 Minutes” video and realizing how quickly AI could turn ideas into real products. Since joining, Griffin has: - Built his own personal website to stand out while job hunting - Started learning AI automation seriously despite having no traditional dev background - Used Nate’s templates and systems to level up his Claude workflows - Connected with builders inside the community and started taking real conversations around opportunities - Went from laid off to employed again with a strong salary in under 45 days
🏆 Weekly Wins Recap | May 16 – May 22
I tested every B2B lead scraper on Apify after the Apollo ban - here's what actually works
After Apify removed the main Apollo scraper, I spent the last 2 months and $$$+ testing every alternative for my agency. Scraped 30K+ B2B leads across different tools. Here's my honest breakdown: The Results: https://apify.com/olympus/b2b-leads-finder - Data quality: Excellent, matches Apollo UI data - Speed: Fast (1500-2000 leads/hour) - Email accuracy: Major issue - emails aren't enriched, just fake placeholders - Price: Reasonable at ~$1.5-2/1000 leads - Verdict: Great if you're running your own email finder afterward, otherwise not https://apify.com/code_crafter/leads-finder - Data quality: Good, filters work well - Speed: Decent (1000-1500 leads/hour) - Email accuracy: ~45% deliverability in my tests - Price: Mid-range - Verdict: MAJOR problem - you only get 20-50% of what Apollo's count shows. Search shows 10K leads? You'll get 3K max. Deal breaker for volume work. https://apify.com/microworlds/leads-generator - Data quality: Not actual Apollo data, but decent alternatives - Speed: Very fast, same-hour results - Email accuracy: Surprisingly good, ~60% deliverable - Price: Expensive, nearly 2x other options - Verdict: Only worth it for rush jobs where you need leads in the next few hours https://apify.com/amr-mando/lead-scraper - Data quality: Similar to olympus but includes actual emails + descriptions - Speed: Painfully slow (500-1200 leads/hour) - this is the real killer - Email accuracy: ~65% deliverable, best I've tested - Price: $1.5-2/1000 leads - Verdict: If you're not in a hurry and need quality over speed, it's solid. Run it overnight. Not great for time-sensitive same day projects. I know the developer of scraper #1 and own #4, so take my review with a grain of salt. That said, I've burned through a lot of money on it over 6 weeks and the email quality genuinely is the best I've found for #4 - I wouldn't keep using it otherwise.
What if you could hand off a task, walk away, and come back to find it already done?
That's the idea behind Mission Control for OpenClaw — and I've fine-tuned and improved a version that runs smoothly. It works like this: you add your tasks to the board, leave the screen, and when you return they've moved to the "Done" column. In the video I'm sharing, it's running 9 agents inside OpenClaw with an external Google Maps scraper connected for lead generation. The results are impressive — you can set it to find 1,000+ leads, step away, and return to either a finished output or a task still in progress. The biggest improvement solves a real problem: OpenClaw typically loses context after about 10 messages. Mission Control fixes that, holding everything together so the full task gets completed instead of stalling halfway. Want it? Comment "Mission Control" below and I'll send you the GitHub repo. 👇
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What if you could hand off a task, walk away, and come back to find it already done?
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