Everyone's talking about AI in fashion, but most of it focuses on generating pretty images. That's cool, but if you're serious about building a digital fashion brand or breaking into the industry, AI's real value is in the unsexy stuff that actually makes or breaks a business. Here's where I've seen it genuinely help brands (and where it could help you): The boring-but-essential wins: - Turning one design into 20 colour ways in minutes instead of hours - Writing consistent product descriptions across your whole collection - Organising your design files so you can actually find things - Creating sell sheets and wholesale materials without hiring a designer - Testing product concepts before you invest in samples The truth? AI won't replace your creativity or design vision. But it can handle the repetitive tasks that slow you down or cost money. Vote 👇🏾, then tell me: What's the biggest bottleneck slowing you down right now? Or if you're just starting out - what part of launching a brand feels most overwhelming? Let's figure out where AI could actually help vs. where it's just hype.

AI can do a lot in fashion today, from turning rough sketches into mockups to writing product copy and even generating full lookbooks. 🟠 But where does AI actually add value in brand building? 🟠 And where is the human touch still non-negotiable? Let’s unpack it 👇🏾 AI is useful for: ⚡ Speeding up mockups + content ⚡ Spotting patterns in sales data ⚡ Getting quick feedback on early concepts ⚡ Automating the boring stuff But it can’t replace: 💬 Real creative instinct 🧠 Brand strategy that feels right 👂🏽 Deep customer insight ✨ Knowing when not to follow the data Where do you draw the line? What’s one thing in your brand process you’d NEVER hand to AI? Drop your thoughts below ⬇️ Let's hear from the humans 👀

Most clothing brands mess up fabric before they mess up design. One of the biggest blind spots I see: GSM. If you don’t understand GSM, you’ll: Order tees that feel cheap Get hoodies that don’t hold shape Overpay for fabric you don’t actually need So I put together a simple GSM cheat sheet that covers: Ideal GSM ranges for tees, hoodies, sweats, jackets What GSM actually feels like in real life When higher GSM is worth it — and when it’s just marketing Common GSM mistakes new brands make with manufacturers It’s meant for brand owners, not factories. No fluff, just practical ranges you can use before placing an order. If you’re starting out or planning your next drop, this will save you time and expensive sampling mistakes. Here’s the cheat sheet: 👉 https://rastify.gumroad.com/l/apeaq Hope it helps someone avoid a bad production run 👍

We’ve covered a lot this week from AI chaos to 3D clarity, so before we all switch off for the weekend, let’s take a moment: 🟠 What’s one win (big or small) you had this week? 🟠 And what’s one thing you’re still chewing on or want to get perspective on? Pop it in the thread below 👇🏾Let’s share the progress and the questions — both are equally valuable here. Hope you have a fab weekend!

Hi everyone! 👋 I’m Cassie, a graduate researcher in apparel product development, and I’m excited to be part of this digital fashion community. My current thesis research focuses on how 3D CAD tools (such as CLO3D and Browzwear) are being used in the apparel development process—specifically how they impact workflow efficiency, collaboration, and lead time reduction. I’m currently looking for industry professionals, educators, or advanced users of 3D fashion tools who would be willing to participate in a brief research study (survey and/or short interview, depending on interest). Your insights would directly contribute to academic research aimed at advancing digital fashion practice. If you’re interested in participating or would like more details, please comment below or send me a message—I’d truly appreciate your time and perspective. Thanks so much, and I’m looking forward to connecting with you all! 😊