Can you give me a five‑step action plan to use AI and transition from time‑for‑money jobs to a remote lifestyle, given I'm a barber instructor who also does ATV repair and speaks Spanish?
First, keep your current income streams (barbering, ATV repair) while you allocate a small portion—maybe $300 a month—to learning one automation tool, such as Make.com or Zapier. Focus on mastering a single tool rather than juggling many; think of it as a pickaxe you can use for everything. Spend a few days watching a comprehensive course (e.g., my 6‑hour Make.com course) until you’re comfortable. Then take three concrete steps: 1) Choose a niche you want to serve. 2) Build an Upwork profile targeting that niche. 3) Start cold‑email outreach using the formula I described earlier. 4) Join relevant communities to network and share content. Keep the niche practical—look for markets where people are already spending money. Follow this five‑step plan, reinvest earnings into tools and education, and you’ll gradually shift from time‑for‑money work to a remote, AI‑enhanced business.
On Upwork, you don't really choose a niche; Upwork is your zero to one, not just getting $60 but maybe $600 or $6,000. To maximize your odds of success, come up with a good advanced search—a set of filters for terms like automation, N8N, Claude code, or make.com. Each day, use that filter to get a big list of matching jobs, open them in 50–100 tabs, and quickly verify which are good. You'll end up with maybe 10 jobs you can actually apply to, across various niches and technologies, so having some technical ability helps you talk about platforms confidently. Then record a quick video and apply to each job. This SOP isn't magical; it's just a strategy that works a bit better than others. By stacking it up volume‑wise, you'll eventually succeed—like investing a dollar and getting $1.50 back. If you repeat this daily for many years, you will succeed.
I started with Harvard CS50, then taught myself computer science from the ground up, excluding languages and compilers, distributed systems, and operating systems. I completed nanotech to Tetris, building a computer from scratch. After that, I learned AI from scratch via a course that just listed introductory material, then I began training models—first a TensorFlow model called Stalan 2 that generated faces, then Gwarn's 'This Wu Does Not Exist' which I turned into an anime face generator, which I found hilarious and turned into a business called One Second Painting. I scaled that to about $3,500 per month by selling AI-generated art, but Midjourney's release destroyed that business. I had been selling NFTs, which gave me hands‑on AI experience. I then used that experience to freelance write while aiming for $10k/month, employing GPT‑3 for content. I also spent six months to a year locked in my room learning make.com and Zapier, building automations for my One Second Painting business and later for a second venture with a business partner. Eventually the money came from disproportionate time invested, leading to a compressed business model: get your first customer quickly, then worry about everything later. I realized most of the low‑level AI skills I learned aren’t used today, but the practical experience with automation platforms like make.com and Zapier, plus building info products, allowed me to scale to $100k/month through a blend of an AI automation agency and information products.
First, I’d join a community like Maker School—not just to use my own products but because membership gives you deep discounts (often a 10x return) on AI platform credits and payment‑processing fees. With those savings I’d start by learning a visual drag‑and‑drop automation builder (such as the n platform) for about four to six hours; that teaches you the fundamentals of systems, workflows, JSON, HTTP requests, etc., which accelerates everything else. Next I’d spend another four hours on a Claude‑code course that covers the technical setup, agent communication, model selection, and so on—roughly ten hours total. After that foundation, I’d devote virtually all remaining time to acquiring customers; the first 90 days would be less than 1% spent on learning and the rest on outreach. You need a customer to actually enter the arena, so I’d use Maker School’s day‑by‑day accountability to hit call and outreach targets, then loop back to upsell from any lower tier to higher ones as the relationship grows.
I can’t walk you through every detail, but here’s a practical roadmap. Start with the Make.com playlist I’ve created – it’s a simple no‑code builder that introduces automation basics. Watch the first 12‑13 videos, then move on to live builds. After that, join Maker School, my day‑by‑day accountability program where I guide you through tasks and check in multiple times a day. Once you’ve got the basics, set up an Upwork profile. Upwork lets you see what clients actually pay for and what problems they need solved, turning you from an academic into a real‑world business person. Browse job listings, apply to those where you have at least a 50 % chance of success, and be prepared to send out 20‑30 proposals before landing a bite. Your first gigs will likely pay $30‑$50 an hour (adjusted for your region). Use the work to understand client needs – usually simple connectors between platforms, data duplication, or dashboards. Keep applying consistently, experiment with the platforms, and schedule calls with potential clients to solidify the work. This approach – Make.com basics, Maker School accountability, then Upwork for real client work – is the fastest way to launch an AI agency as a beginner.