Ever asked ChatGPT to change one thing in an image, only for something else to mysteriously change too? The background looks lovely, but your product now appears to have a new logo. Cheers for that. 😂 OpenAI has launched ChatGPT Images 2.5, with improvements aimed at making image creation and editing more useful for everyday work. Here's what stands out: • More precise edits, with better preservation of the details you want to keep. • Better consistency across several rounds of changes. • Sharper detail, more natural lighting and improved layouts. • Faster generation, with OpenAI reporting up to 50% lower latency compared with Images 2.0. There are also three handy additions: Sketch lets you draw a rough idea directly in ChatGPT, templates help you start with a format such as a poster, and prompt sharing lets other people adapt your creations. For business owners, I'd start with a small, real job: a promotional graphic, a product image or a thumbnail. Try uploading a product photo and asking: “Create a square social media graphic using this product photo. Keep the product, packaging and logo unchanged. Use a clean cream background, leave space at the top for a headline, and add the exact words: ‘Meet your new favourite’.” Then ask for one change: “Change only the background to pale blue. Keep everything else the same.” Check the logo, wording and product details yourself. That's a much better test than whether the first image looks impressive! OpenAI says Images 2.5 is rolling out across all ChatGPT tiers on web, mobile and desktop. Full announcement: https://openai.com/index/introducing-chatgpt-images-2-5/ What would you try first: product photos, thumbnails, social posts or something completely different?

I use ChatGPT constantly for brainstorming, researching ideas, breaking down problems, and figuring out how to approach projects. The problem was what happened afterward. I’d have a genuinely useful conversation, leave with 5–10 things I wanted to do… and then three days later that chat was buried underneath 20 new ones. What’s been working better for me is separating thinking from execution. ChatGPT → brainstorm, research, solve problems Floment → turn the useful stuff into projects and actual tasks Notion → keep anything I’ll want to reference long-term It sounds ridiculously simple, but having somewhere for the output of my AI conversations has made them much more useful. Otherwise I feel like it’s really easy to become great at generating ideas and terrible at actually finishing them. How do you guys manage the useful stuff that comes out of your ChatGPT conversations?

Alright, we've got a new ChatGPT model to play with. It's called GPT-6 Astra. I know, another model name to remember! But this one does look like a pretty big step forward. The interesting bit isn't all the benchmark scores. It's that Astra is meant to be much better at actually getting on with a job, rather than just telling you how to do it. OpenAI says it can handle multi-step tasks across browsers and everyday business tools. That includes online research, filling in forms, updating records, organising a calendar, and creating documents, spreadsheets, presentations and websites. What it can do will depend on which ChatGPT tools you have access to, of course. It should also be better at knowing when to make a sensible assumption and when it genuinely needs to ask you something. Hopefully that means less babysitting, without it charging off like an unsupervised intern with admin access. One important thing to know is that ordinary ChatGPT customers can't use it just yet. Right now, access is limited to approved organisations that apply for it. OpenAI says Astra should start rolling out to ChatGPT Plus, Pro, Business and Enterprise users over the next few days. So don't waste half an hour hunting through your settings or repeatedly refreshing the model picker. It isn't hiding from you. We just need to wait for the wider rollout. When it arrives, let's give it something more interesting than a trivia question. Give it a real job, the information it needs, and a clear idea of what "done" looks like. Then come back and tell us how it got on. What are you going to try first? Official announcement: https://openai.com/index/gpt-6-astra/

Okay… I had a little holy s#!t moment talking to my friend Abdul the other day. 😂 Me: “Dude… I think Prompt Engineering may be going the way of the DOS prompt.” He looked at me like I was high on caffeine!! 😂 Me: "hear me out…Remember DOS with the C Prompt? || C:\>_ Back then, you actually had to KNOW the commands to make your computer do what you wanted. Then Microsoft Windows came along. Point. Click. Drag. Drop. Windows didn't kill DOS, it just put a much easier and prettier layer on top of DOS soOoo users can do their work effortlessly. You didn't have to think about what was happening underneath. And now I'm wondering… "Are AI Agents becoming the Windows layer for prompting?" Today: You → Clever Prompt → AI → Answer But imagine Tomorrow: You → Instruct Your AI Agent → Agent gets work done You don't necessarily have to figure out the perfect prompt anymore. You just say: > “Hey, build me a marketing campaign for my 3-Day Vibe Code Workshop.” And your Agent figures out the prompts, breaks down the task, uses the tools, does the work and comes back when it needs you.🤯 That's a pretty big shift!! So maybe I'm wrong and Prompt Engineering isn't actually dying. Maybe it's becoming the DOS prompt underneath the new AI Agent layer?? Just like Windows hid the complexity of DOS… AI Agents may hide the complexity of prompting. And if that's where we're heading, maybe the new skill isn't: “How do I write the perfect prompt?” Maybe the new skill is gonna be: “How do I direct an AI Agent to build out the full workflow?" Hmmmm… 🤔 Am I onto something here, or am I high on caffeine??? 😂👇