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Meta just launched an AI fashion app that builds your wardrobe from the Instagram photos you’ve already posted, and the way it does that is a little surprising.
Next, we’ve got a take on why most people are only scratching the surface of what AI can do, a few new tools, and a virtual electronics lab where breaking things is the whole point. Alright, on to the good stuff.
🤿 DEEP DIVE
Meta Wants to Raid Our Closet
Instagram photos might be useful for more than just memories.
Apparently, all those outfit photos sitting on Instagram might have another use.
Meta has quietly launched an AI fashion app called Style Sketch, and the idea is pretty simple. Instead of suggesting more clothes to buy, it helps put together outfits using clothes already sitting in the wardrobe.
But the part I like is how it gets those clothes into the app in the first place.
Instagram photos do some of the work
Building a digital wardrobe sounds like a chore. Imagine having to photograph every shirt, jacket, and pair of trousers just to get started.
Style Sketch tries to skip some of that work by connecting to Instagram and using previously posted photos to help build a virtual closet.
Clothes can still be added manually through photos, short videos, or images from the camera roll. But at least there's a way to get started without photographing everything again.
Once the wardrobe is set up, the AI suggests outfits based on personal style. It can also work around a specific item, like a jacket that's been sitting untouched for months.
There's a virtual try-on feature too. Meta says it shows outfits on a realistic model matched to body shape and skin tone, so there's a way to preview the combinations without actually putting them on.
It even packs the suitcase, sort of
The trip planner might be my favorite part.
It takes the destination, trip length, and planned activities, then puts together a day-by-day outfit plan using the clothes in the wardrobe, the weather forecast, and the itinerary.
Basically, the app tries to solve that familiar problem of staring at an open suitcase and somehow having no idea what to pack.
Except now there's an AI suggesting outfits for each day.
Instagram is the real advantage here
AI wardrobe apps aren't exactly new. Startups like Alta already offer similar styling tools, and Google Photos has features for turning clothing photos into digital closets.
So Meta isn't inventing the idea of an AI stylist.
The difference is that Style Sketch can use photos already shared on Instagram. That's a lot less work than starting a digital wardrobe from nothing, especially when the clothes are already in those photos.
And Style Sketch is just one of several experimental AI apps Meta has been releasing. There's also Waddle World, an AI virtual pet app, Pocket for creating games with AI, and Vibes for generating AI videos.
For now, Style Sketch is available on iOS and Android in Indonesia, Singapore, and Thailand. No word yet on a wider release.
The quick take
Style Sketch creates outfit combinations from what's already in the wardrobe.
Previously posted photos help build the virtual closet without starting entirely from scratch.
Virtual try-on and trip planning help preview combinations and organize clothes for travel.
Indonesia, Singapore, and Thailand are the first markets, with no wider rollout confirmed.
🤝 FROM OUR FRIENDS
A quick share we thought you might find useful
Vanity Fair’s New Show, Where Nothing Is Off the Table

On Fair Game from Vanity Fair, join Mark Guiducci for in-depth and far-reaching conversations with the most interesting characters from the worlds of Hollywood, Politics, Style, Silicon Valley, and beyond.
From acclaimed actors and political figures to tech leaders and style visionaries, Fair Game goes beyond the headlines to uncover the people, personalities, and ideas driving the cultural conversation.
🔥 WHAT’S THE BUZZ
What people are building, sharing, and talking about
Karpathy thinks the AI divide is getting wider. His estimate puts only 0.2% of people in the advanced-user group.
This is particularly relevant to everyday office workers. The takeaway isn't that everyone needs to become a programmer. It's that using AI only for quick questions and simple writing tasks may provide a limited picture of what the technology can do.
Experimenting with more substantial tasks, such as analyzing a complicated document, investigating a problem or completing a multistep workflow, may reveal capabilities that aren't obvious from ordinary chatbot use.
⚒ TOOL SNAPSHOTS
Futuristic tools within AI, no-code, and productivity
🗣️ Empacer
Turn spoken requests into a ready plan and finished work.
Why it’s useful
It captures your business basics once, then helps you create customer replies, social posts, invoices, and more without re explaining every time. It also keeps you in control since nothing gets sent without your approval.🧱 Floot
Describe an app and publish it with a real link.
Why it’s useful
You can build an app right in the ChatGPT sidebar while watching a live preview in the chat. It also handles database, logins, and hosting, so you can ship a working app without wiring up the basics.🧭 Radar
Investigate failing Kubernetes workloads with ranked issues and evidence.
Why it’s useful
It gives Claude Code, Codex, or Cursor the context to find root causes in read only mode with logs, owners, and a change timeline. In Radar Cloud it can investigate every alert and post findings to Slack.
👀 ON OUR RADAR
One more thing we thought you'd like
A fast AI answer isn't always a coordinated one. When AI resolves B2B issues without looping in the teams responsible for them, confidence outpaces alignment. A new Harvard Business Review Analytic Services briefing paper, sponsored by Front, looks at closing that gap.
🤖 AI MADE THIS
Interesting and inspiring creations made with AI
An AI-Built Electronics Lab Where Breaking Things Is Part of Learning
Movez used Claude Opus 5.5 to help build an interactive electronics lab where you can experiment with circuit boards without needing real hardware. The AI helped write the code behind the virtual workshop, letting users connect components and see what happens when things go wrong, from burned-out LEDs to smoking chips. The project has attracted thousands of bookmarks from people interested in trying it themselves.
AI used
Claude Opus 5.5 and the colorfigures skill
ℹ️ ABOUT US
The Intelligent Worker helps you to be more productive at work with AI, automation, no-code, and other technologies.
We like real, practical, and tangible use-cases and hate hand-wavy, theoretical, and abstract concepts that don’t drive real-world outcomes.
Our mission is to empower individuals, boost their productivity, and future-proof their careers.
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