This both have their own important. Still wanna know about your thoughts on this!!? Something shifted in how Claude actually works — and most people haven't caught up yet. What this is: Context Engineering is the practice of building the information Claude sees before you type anything — identity files, voice profiles, reusable skills — instead of trying to write the "perfect prompt." Why it matters: A perfect prompt fixes one conversation. A context system fixes every conversation you'll ever have. That's the compounding advantage. How to do it — build these 3 files this weekend: Identity file: Your name, role, current project, decisions already made. Claude stops second-guessing obvious things. Voice file: How you write, what you find cringe, your contrarian takes. Copy-paste prompt to build it: "Interview me about how I write and think. Ask me 10 questions about my tone, my opinions, and what I hate reading online. Then write my voice profile." Anti-AI words list: Every word Claude should never use when writing as you. Start with: delve, it's worth noting, in today's fast-paced world, nuanced, tapestry. Load these into Claude's Custom Instructions or a Project. Every conversation gets dramatically better — same prompts, different context. Try this now: Open Claude. Type: "Interview me to build my voice profile. Ask me 10 questions." Spend 10 minutes on it. Save the result. That's your voice file done. What's the one word you're most tired of seeing Claude use? Drop it below — I'll add the best ones to my own list

I dropped a video on how I build n8n workflows. After building for 32 different clients and making 10k in the last 6 months. I decided to document my method so that once and if I hire somebody in the future, I can direct them to this video. Because I break down how I go about building, why I do certain things and why I build the way I do. The idea with the video is that I should not need to explain how to build. Granted I do not go into how nodes works, or data tables. What I walk through is a way to not get stuck while building. How to approach system thinking and have a working system. That it's easy to manage. I hope that y'all find it useful :)

Hey everyone 👋 Question for those of you building AI chatbots for clients (or your own product): When you deploy a chatbot on a website, are you actually GDPR-compliant — or are you hoping nobody notices? I’m based in Austria, building AI automation solutions for European SMBs, and the #1 question I get asked isn’t “how smart is your bot?” — it’s: “Where is the data going? Who processes it? Do you have an AVV?” Most US-built chatbots fail this conversation immediately because: • No signed Data Processing Agreement (Art. 28 GDPR requirement) • Subprocessors (OpenAI, Pinecone, Vercel) not disclosed • No Datenschutzerklärung (privacy notice) in the local language • EU AI Act transparency requirements ignored (mandatory from August 2026) Curious — how are you handling this for European clients? Or are you avoiding the European market entirely because it feels too complicated? Happy to share what I’ve built (a 10-point GDPR transparency package) if anyone wants to dig in 🙌

Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊

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 🚀