SORRY FOLKS: This post was designed for start up /improvers in Tony, Dean and IGOR’s AI Advantage Club: I was going to take it down BUT: It could still be useful here… WHY: These folk are your future customer targets: Those that do AI, but struggle with the AUTOMATION side: TELL ME IF ITS NOT RELEVANT and I will take it down… You do not need to be a coder to work well with AI. You do not need to speak in technical language. You do not need to build complicated automations before you understand what you are actually trying to achieve. You need to talk to AI clearly. Tell it what you do. Tell it what you want. Tell it what success looks like. That is the bit many beginners miss. A lot of people approach AI like they are trying to solve one tiny puzzle piece at a time: “What prompt do I use for this?” “What command do I type?” “What tool do I connect?” “What automation should I build?” That can work, but it can also create confusion very quickly. A better way, especially for creative thinkers, is to start with the whole picture. Think of a jigsaw puzzle. If someone gives you a thousand pieces but does not show you the picture on the box, you might still make progress, but it will be slow, frustrating, and full of guesswork. Now imagine the picture is the Titanic. If the Titanic is still in Southampton, you have useful context. You can see the ship, the dock, the land, the colours, the structure. You can start to understand where the pieces belong. But if the Titanic is halfway across the Atlantic, surrounded by sea and sky, everything starts to look the same. Blue above, blue below, no landmarks, no clear edges. That is what happens when you ask AI for isolated pieces without giving it the picture. The AI may still help, but it is guessing with you. So my biggest learning is this: Do not start by asking AI for one puzzle piece. Start by showing it the picture on the box. Say something like: “I am trying to build a simple workflow that helps me create, organise, and publish content without overwhelming myself. I am not a coder. I want low friction, clear steps, and reusable prompts. Success means I can use this every week without getting lost.”

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 🙌