The latest buzzword is “AI slop.” And honestly, I think it is a useful one. But AI slop is not simply “content created with AI.” That misses the point. AI slop is what happens when someone treats the first or unfinished AI drafts as “good enough” and publishes it as the final version. Decent but unfinished content is not the antidote to procrastination. Before AI, and now with AI, sloppy work is sloppy work. We are quickly approaching a time where, in a professional environment, people can tell the difference between bare-minimum AI use and thoughtful AI use. You have probably heard of the uncanny valley problem with AI images, where something looks almost right, but still feels off. I believe something similar is starting to happen with AI writing. That same intuitive sense that tells people an image was generated by AI also starts to work against the person who presents unedited AI output as their own thinking. Not because they used AI. Because they did not add enough meaningful human judgment. And that judgment can show up in a lot of ways: - Skills. - Project instructions. - Saved context. - Memory. - Advanced prompts. - Better feedback to the LLM. - Clearer examples. - More specific direction. Thoughtful AI use creates better content, deeper meaning, and a sharper perspective. My rule is pretty simple: 👉 Treat all original AI output as a draft, and accept that it will rarely, if ever, be ready to publish after the first prompt. Always a draft. Here are five warning signs I look for: 1. It sounds right, but says nothing If you can delete the sentence and the meaning does not change, cut it. 2. There is no point of view If anyone could have written it, no one will remember it. 3. It feels like a remix AI is very good at summarizing what already exists. Your job is to add the experience, the example, or the opinion. 4. It is over-polished, but under-human Perfect grammar does not equal trust. Sometimes the post needs a shorter sentence.A rougher line.A little more of you.

We just crossed 700 members in AI Bits & Pieces, and I want to take a moment to say thank you. When this community started, the idea was simple: AI is becoming a life skill. For the AI Curious. For the AI Beginner. For the AI Enthusiast. For the AI Practitioner. For the business owner. For the person simply trying to keep up. For everyone. AI is becoming part of how we think, write, plan, research, learn, create, and make decisions. And for many people, the hardest part is not understanding every technical detail. The hardest part is knowing where to start. That is what AI Bits & Pieces is here for. A place to learn without feeling behind. A place to ask basic questions without judgment. A place to see real examples, practical workflows, and honest tool testing. A place where curiosity matters more than credentials. As the community grows, the goal remains the same: help people build practical AI fluency one step at a time. You don't need to learn everything by tomorrow. Just steady progress. Some members are brand new to AI. Some are using it every day. Some are building workflows, automations, content systems, or businesses. And some are simply trying to understand how this technology fits into their work and life. All of that belongs here. I also want to recognize and acknowledge everyone on the leaderboard! You are the people who continue to show up, comment, ask questions, share examples, and make this feel like a real learning community. That participation matters more than most people realize. Content helps. Tools help. But people make the community useful. So thank you for being here, whether you joined at member 7, member 70, or member 700. We are still early. And we are building AI fluency together, one bit and piece at a time.

Ever struggle to get the right facial expression for a YouTube thumbnail or LinkedIn image? I just created an amazing array of headshots using Gemini + Canva with different emotions while staying close to my actual likeness and personal brand. A few things I liked about it: - Different expressions gave me more thumbnail options - Asking for a little more torso made the images easier to use in layouts - Pulling the final image into Canva made the design side fast and flexible This is one of those small use cases that can be surprisingly practical if you create content regularly. Sometimes the hardest part of a thumbnail is not the design. It is finding the right look to match the message. Have you tried using AI for headshots, expressions, or thumbnail concepts yet? View Now (2.5 Minutes - Yes that is it) https://youtu.be/LbYtViAilGQ?si=ghFk8mgVWFVkVe9O