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🔒 Q&A w/ Nate is happening in 33 hours
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🚀New Video: Claude Code + Playwright Automates Literally Anything
When you connect Playwright CLI to Claude Code, you can automate almost anything in a browser. This video walks through 3 use cases: having Claude Code QA a web app and fix its own bugs, scraping contact info from search results, and automating actions inside logged-in sessions like Skool. I also show how I'm chaining these scripts into scheduled tasks so an agent runs them on its own.
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🚀New Video: I Tested GPT 5.5 vs Opus 4.7: What You Need to Know
OpenAI just dropped GPT 5.5 and the benchmarks look strong against Opus 4.7, but benchmarks only tell part of the story. I ran four head-to-head experiments in Codex and Claude Code to see how the models actually compare on speed, cost, and output quality. The results were not what I expected.
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🏆 Weekly Wins Recap | Apr 18 – Apr 24
From high-ticket deals and agency SaaS launches to client systems, websites, and real-world automations - this week inside AIS+ was packed with serious builder energy. 🚀 Standout Wins of the Week 👉 Michael Wacht closed a $10K AI Readiness Assessment deal, sponsored by finance with training and system-integration readiness included. 👉 @Uros Pesic signed a £9K UK agency client for a 3-month ops audit and used multi-agent Claude Code to prep 20+ interviews in parallel. 👉 @Fernando Gómez turned a corporate social-media automation system into an agency SaaS with €2.5K setup + €100/month per client. 👉 @George Mbajiaku closed his first $1,300 client by shifting his pitch from “n8n builder” to “problem solver.” 👉 @Josh Holladay wrapped a 30-day client sprint and earned a retainer offer for ongoing strategy, builds, and AI education. 🎥 Super Win Spotlight | Balaji Iyer Balaji joined AIS+ knowing he could build something useful - but he needed structure, clarity, and confidence. Since joining, he has: • Set up his own cloud instance, Docker, Postgres, and self-hosted n8n • Built a real backend workflow from scratch • Created an app he now improves daily • Moved from “Can I really do this?” to “How can I make this better?” His biggest shift? Going from sitting on the sidelines → to finally building something he’s proud of. Balaji’s journey is proof that once you take the first step, momentum starts to build. 🎥 Watch Balaji’s story 👇 ✨ Want to see wins like this every week? Step inside AI Automation Society Plus and start building assets that compound 🚀
🏆 Weekly Wins Recap | Apr 18 – Apr 24
🚀New Video: I Turned Claude Opus 4.7 Into a 24/7 Trader
In this video I show you how to build a fully autonomous trading bot on Claude Code, one that researches the market, places real trades on Alpaca, manages its own stops, and sends you daily recaps on a cron schedule. No Python process running anywhere. Claude is the bot. Five cloud routines handle the full trading day: pre-market research, market-open execution, a midday scan, an end-of-day summary, and a Friday weekly review. Memory lives in markdown files on your main branch, and hard strategy rules gate every order before it fires.
"How much do you charge per project?"
Heyy today I just want to be very raw and real and share my experience based on the clients I've acquired specifically, why automation systems fail First of all, what you need to understand is this, people don't get that there are two types of clients I keep running into. The first one thinks AI is cheap or even free. The second one thinks AI is way too expensive and completely denies it. The problem comes down to the same path. Everyone is denying it And what they need to understand is this: "it's not a plug-and-play system" That's why it's not cheap or expensive it's a service. That's why we're calling it an automation 'agency' People ask me, "How much do you charge?" I mean, if I don't know the numbers, if I don't know the data, if I don't know anything about what I'm working with, I cannot give you a summary of what I'll charge. It will either be overpriced or underpriced, and the project won't be done properly. So yeah, that's a big problem I see everywhere. People tend to think, "OK, just give me a price. Just give me a quick average price." AAaahhhhh But what they need to understand is that's not how this works. It works based on 'how' you're going to solve the problem, what it's going to cost, what tools you need and what systems I need to build Let me give you an example If a restaurant is handling thousands of calls a day and I'm building an AI voice agent for them, versus another restaurant handling 500 calls per day that's a totally different game. The numbers might both seem huge, but they're still different. So the bill is not going to be the same. The cost is not going to be the same
"How much do you charge per project?"
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