Hello everyone,🤝 My name is Masoud, and I’m based in the Northwest of the UK. I’m an experienced HGV driver, NOT AI or IT languages.Currently expanding my skills through online cybersecurity studies. I’m pleased to be part of the Skool community The AI Advantage , and look forward to learning, contributing, and growing alongside like, minded people. Family is very important to me—I’m a proud father of two—and I enjoy spending time outdoors whenever possible.🫶🌹☕

I am using ChatGPT (paid version) to help me with some of my designs for something, but it's not quite getting it right after hours of back and forth and explicit instructions. I am hoping that somebody here can help direct me to some AI that will help me with my visual mockups. I don't know where to go.

A lot of AI “adoption” discussions stay at the mindset level. Useful, but I’ve found progress usually comes from much more boring mechanics. What’s worked best for me so far: 1. Pick a task with a small blast radius.Summarisation, classification, first-draft support. If it fails, it’s annoying — not dangerous. 2. Define “good enough” upfront.Not “be smart”, but constraints like: cite the source, ask clarifying questions when unsure, and never take actions without human confirmation. 3. Design for being wrong.Assume the model will misunderstand. Make uncertainty visible, log failures, and do a quick weekly “what broke?” review. 4. Only then scale.If one narrow use case isn’t reliable and repeatable, adding more prompts/agents just multiplies confusion. Confidence with AI has come less from mindset shifts and more from seeing the same small workflow work 10 times in a row without surprises. Curious what others here consider a “safe first win” use case — especially ones that still hold up after the novelty wears off.

Tony says ‘Proximity is power.’ Let’s find out who’s in proximity... Tell us all where you’re from… without actually telling us where you’re from 🤣