This one is big. Adobe has officially integrated Photoshop, Adobe Express, and Acrobat directly into ChatGPT. That means you can now edit images, refine visuals, and design graphics using pro Adobe tools without leaving chat. No app-hopping. No exporting. No switching contexts. You describe the edit → it happens. 🔧 What this unlocks for AI visual creators: • Edit AI-generated images with real Photoshop tools via natural language • Clean up lighting, background, composition, and details instantly • Move from idea → generation → professional polish in one flow • Use Adobe Express for fast social and brand graphics • Handle visual + document workflows in a single interface This isn’t just “AI art” anymore — it’s AI + industry-standard post-production merged into one workflow. For anyone doing: • AI portraits • Fashion or product visuals • Brand campaigns • Ads and social content • Image editing for clients This massively shortens the gap between raw AI output and commercial-ready visuals. The direction is clear: AI will generate. Photoshop will refine. ChatGPT will orchestrate the whole process. We’re entering a phase where creative direction matters more than tools — because the tools are now embedded into the conversation. We’ll be breaking down practical workflows, limitations, and where this fits alongside Nano Banana, Seedream, and other pro tools inside AI Visual Lab. What’s the first thing you’d use Photoshop-inside-ChatGPT for — cleanup, compositing, or full creative edits?

After logging 300+hours of intensive AI use in the last six weeks, after the AI bootcamp, 40 days ago from Nov 6th, 2025, running real workflows—not demos—I made a decisive platform shift to GEMINI PRO. Below is the exact rationale, from my personal and practical use documented for transparency and repeatability at the request of some of my followers. ChatGPT — Limitations Observed in High-Intensity Use (300+ Hours of Practical Work) ✘ Inconsistent reliability during peak usage hours; frequent bottlenecks ✘ Constantly have to reopen new chats to continue an existing workflow ✘ Consistently forces the user to refresh the chat when it crashes ✘ Uses DALL·E for image generation (Inferior MCP connector) ✘ Very poor quality in image AI generation ✘ Uses report PDF generator, which is inaccurate and does not parse text properly ✘ Does not produce native video outputs in comparison to Gemini Pro VEO 3 or upcoming VEO 4 power ✘ Does not integrate like Gemini Pro with Google Videos, Products, and Workspace ✘ Does not check Gmail inside the chat interface ✘ Uses folders, but does not use Gems like Gemini Pro, which are sub-agents with rules, (Time Saver) Gemini Pro — Why I Transitioned (Now Operating as “Nautilus”) ✔ Exported ENTIRE history of conversations from ChatGPT to Gemini Pro very easily. ✔ Stronger long-context persistence across extended conversations ✔ Stable performance during sustained, high-intensity usage ✔ Supports structured agent orchestration with Gems ✔ Enables purpose-built autonomous agents (“Tritons”) ✔ Reduces prompt redundancy through retained role-specific logic ✔ Scales horizontally without performance collapse ✔ Better aligned with real business, automation, and execution workflows ✔ Superior image creation with Nana Banana Pro ✔ Superior creation of videos with VEO3 & VEO4 ✔ Checks Gmail inside Gemini Pro chat interface (Genesis Pro user face) ✔ Pulls YouTube videos directly inside the UI chatbox, which GPT does not do ✔ Grabs direct research from Google, which ChatGPT cannot do

Because they don't know what technology is for. Tech exists for one purpose: to optimize a process. That is the case for both archaic tools like hammers, shovels and Excel to also all the modern AI software and smart devices we're seeing launching everyday. So process is key. If you don't have clarity on your process, or if it is not good, than a specific tool will not solve any problem. Overlooking the process and focusing on the tools is the biggest mistake for both IT professionals and those who hire them. Every tool has it's downsides and every software is flawed. But more often than not, when you fail at a project, the problem is not on the tool or the platform you're using, but on lack of planning and proper management. - Automating your sales process is useless without having a great offer - Launching a paid traffic campaign is a waste of money if you don't know where your potential clients are and how to talk to them - A fancy landingpage will not bring you any results without a clear communication and a great CTA - Implementing a CRM won't do anything for you if you don't know how to analyse data and get feedback on your clients in order to continuously improve your process at each new one AI is changing the game, lowering the barriers for people to start their businesses and giving eveyone who dominate and keep up with the changes an unfair advantage over those who don't. But just like any technology, you won't get anything out of it without a great offer, a solid plan and a well managed process.

❌ Well… I’ll tell you what it wasn’t: 🚫 AGI 🚫 Mass job displacement 🚫 The breathless predictions from January 🔥 2025 was the year smaller companies stopped waiting for permission. And started using AI strategically. Not as a replacement 🤖 As a multiplier for people already doing good work ⚡ 🏗️ At Rooost, we’ve built systems where AI: → analyses every sales call → drafts content frameworks → handles the repetitive admin that used to eat hours of time (LET ME TELL YOU 😅) ⏱️ A month’s content planned in 15 minutes ☕ Call insights surfaced before the kettle’s boiled ✅ None of it replaced anyone 🚀 All of it made us faster, sharper, more consistent 📉 The gap isn’t between companies with AI and companies without it anymore 📈 It’s between companies treating AI as a shiny announcement and companies quietly embedding it into how they actually work 🏆 The winners of 2025 weren’t the ones with the biggest AI budgets They were the ones who stopped obsessing about AI and started building with it 🧠⚙️ 💬 What’s your experience been?