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🔒 Q&A w/ Nate is happening in 30 hours
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🚀New Video: I Tried 100+ Claude Code Skills. These 6 Are The Best.
After 400 hours in Claude Code, I noticed that businesses keep paying for the same six types of skills. In this video, I break down each one, what it does, and why these simple, boring skills are the ones that actually sell. Whether you're brand new to AI automations or already building for clients, these are the skills worth learning first.
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🚀New Video: Build & Sell Claude Code Operating Systems (2+ Hour Course)
This is the full walkthrough of how I build my AI Operating System inside Claude Code, from the frameworks I use to think about it (the Three Ms and the Four Cs) to the actual setup, connections, skills, and routines that run while I sleep. By the end you'll know exactly how to set up your own AIOS, even if you've never opened Claude Code before. The full template, docs, and resources are free in my school community linked below. GITHUB REPO
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🏆 Community Wins Recap | Apr 25 – May 1
From AI roles and first clients to live receptionist systems and enterprise training deals - this week inside AIS+ showed what happens when builders stop watching and start executing. 🚀 Standout Wins of the Week inside AIS+ 👉 @Griffin Maklansky went from being laid off to landing an AI Workflow Builder role in just 1 month. 👉 @Ahmed Bin Faisal landed another $2,000 USD client — an interior design firm — and broke down exactly what led to the close 👉 @Narsis Amin built a working AI restaurant receptionist handling bookings, availability, and CRM logging end-to-end. 👉 @Josh Holladay closed a $4.5K (+$1K) client with half up front today — and dropped his top 10 lessons from the close 👉 @Dion Wang received his first official testimonial, validating real client impact and around 40 hours/month saved. 🎥 Super Win Spotlight | @Duy Nguyen Duy started as an engineer who was curious about AI — but unsure how to turn that curiosity into something real. After joining AIS+, he went from learning passively to building his own AI-operated business, Sharper Automations. Since then, he has: • Built a 24-agent AI business operating system • Landed 2 local paying clients through word-of-mouth • Created a system that improves itself weekly through feedback loops • Started moving toward his goal of leaving his corporate job His biggest shift? From “Can I really do this?” → to building a real business around AI automation.
🏆 Community Wins Recap | Apr 25 – May 1
I built 𝗩𝗼𝗶𝗰𝗲𝗕𝗼𝗹𝘁 for exactly this.
Every missed call is a job your competitor just booked. Home service owners know this. Most still do nothing about it. You're running a plumbing company, HVAC route, or landscaping crew. Your phone rings at 7pm on a Friday. Nobody answers. That customer calls the next guy on Google. Job gone. Revenue gone. Forever. 𝗛𝗶𝗿𝗶𝗻𝗴 𝗮 𝗿𝗲𝗰𝗲𝗽𝘁𝗶𝗼𝗻𝗶𝘀𝘁 𝘄𝗼𝗻'𝘁 𝗳𝗶𝘅 𝘁𝗵𝗶𝘀. They work 9-5. They call in sick. They put customers on hold. And they cost you $40K+ a year just to exist. Human receptionist: - Clocks out at 5pm - Misses after-hours leads - Forgets to update the calendar - Costs you a salary whether it's slow or busy AI voice receptionist: - Answers every call, 24/7, zero hold time - Books directly onto your calendar - Captures every lead instantly - Costs a fraction of one employee I built 𝗩𝗼𝗶𝗰𝗲𝗕𝗼𝗹𝘁 for exactly this. One AI that handles your phones, books your jobs, transcribes every call, and fires off an instant alert when something urgent comes in. No salary. No sick days. No missed Friday night jobs. Your competitors are still letting calls go to voicemail. 𝗬𝗼𝘂 𝗱𝗼𝗻'𝘁 𝗵𝗮𝘃𝗲 𝘁𝗼. Are you running a real business — or just hoping customers are patient enough to wait?
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Resume Matched to 53 Job Postings. Interview Callbacks: 3% → 18%. 🔥
Job search reality. Sending the same resume to every posting. Hoping something sticks. 100 applications. 3 callbacks. 3%. The problem wasn't qualifications. It was matching. Generic resume hitting keyword filters. Losing to tailored applications. Built a resume optimizer. Upload base resume. Upload job posting. System extracts: required skills, preferred qualifications, keywords, responsibilities. Compares to resume. Generates tailored version emphasizing relevant experience. Suggests additions from job description language. Applied the optimized approach to next 53 applications. Results: - 53 tailored applications (each took 5 minutes vs. 45 minutes manual) - 18% callback rate (was 3%) - 4 offers received - Accepted role with 23% salary increase over previous position The optimization isn't lying. It's emphasizing truth. Same experience, better presented for each specific role. What's your callback rate on job applications?
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