Attira Now Answers Twenty Questions About the Clothes You Own
Attira started as a way to see an outfit before you put it on. That is still there, and it still works. But over the past months the thing people actually kept asking for was not more images — it was answers. Not "show me a look," but "is this jacket worth buying," "what do I pack for four days in Lisbon," "what am I not wearing."
Today Attira answers those. The styling assistant is live on the web and in the apps, and it treats your wardrobe as something to reason about rather than a gallery to scroll.
What changed
The old model was one question and one answer: describe an occasion, get an outfit. That covers a real need, and it is still the fastest thing Attira does. It just is not the only question worth asking about a wardrobe.
The assistant now handles twenty of them. Some are variations on styling — build a look around one piece you already love, refine a look you nearly like, swap a single item and let the rest adjust. Others are new territory entirely: what your wardrobe is capable of, where its gaps are, what one garment is actually worth to it.
The important part is that every answer is built from clothes you own. Not a moodboard. Not an aspirational rail of things you would need to buy first. If Attira suggests something, it is in your wardrobe, or it is telling you honestly that it is not.
Planning a week, and planning a trip
Two of the new capabilities are about time rather than a single morning.
Week planning takes your calendar and the forecast and lays out seven days of outfits together. Planned as a set, it can do something a day-at-a-time approach cannot: rotate deliberately, so the shirt you wear on Monday is not back on Wednesday, and the one good blazer lands on the day that needs it. If you already plan your outfits for the week on paper, this is the same discipline with the arithmetic done for you.
Trip planning is the harder version of the same problem. Packing badly is almost always packing too much — one outfit per day, no re-wearing, and a bag you resent by day three. Attira plans the trip as a whole and re-wears on purpose, so the pieces you take are the ones that earn their place several times over. You give it a destination and dates; it gives you a day-by-day plan and the list of what to actually put in the bag.
Deciding what to buy — and what not to
The capability we spent the longest on is the one that talks you out of things.
Show Attira something you are considering and it scores that item against your whole wardrobe: how many complete outfits it would unlock that you cannot currently make, and whether you already own something doing that job. Quite often the answer is that you do, and it says so.
The same logic runs in reverse. Ask what your wardrobe is missing and you get a ranked list — not "you need more clothes," but a specific, ordered set of gaps where one purchase would unlock the most outfits. It is the difference between shopping and closing a gap.
To be plain about the incentives: Attira earns nothing when you buy something. There are no affiliate links, no commissions, and no brand paying to appear in a recommendation. That is why it can afford to tell you to put something back, and we have written it into our terms so it stays true.
When something genuinely is worth buying, Attira can point you at shops near you that carry that kind of thing. It asks your device for your location at that moment — only then, only for that request — and the results come from OpenStreetMap. Our privacy policy sets out exactly what happens to those coordinates, which is: they are used and discarded.
Showing it what you have on
You can now send the assistant a photo mid-conversation. Point your camera at what you are wearing and ask whether it works, and you get a real answer about proportion, formality and what to change — not a compliment.
This is a photo that can show your face and body, so it is handled the way a persona photo is handled: never used to train any model, stored encrypted, and deleted with the conversation or your account. Sections 1.2 and 3 of the privacy policy cover it specifically.
Saving, scheduling, and logging
Three smaller additions make the rest stick. Save a look and it is there next time. Attach a look to a calendar event and the morning of is already decided. Mark an outfit worn and Attira knows to rotate away from it — which is also how cost-per-wear stays honest over time, and how a capsule wardrobe stops being a theory and starts being a record.
What has not changed
Your photos are not training data, for us or for our providers. Nothing is sold, and there is no third-party analytics or ad tracking in Attira. Deleting an item deletes its photo; deleting your account deletes everything, immediately.
We updated the privacy policy and terms alongside this release rather than after it, so the new capabilities — attachments, location for finding shops, notifications, trip and shopping data — are described before you use them. Both documents carry a short note at the end saying exactly what changed.
Try it on your own wardrobe
The honest test is not whether the assistant sounds clever. It is whether it tells you something about your own clothes that you did not already know — a combination you had not seen, a gap you had not named, a purchase you were about to make and did not need.
Get started free and ask it something hard.