Work clothes can feel almost right until you sit down or take the jacket off. Macaron offers AI outfit planning around those everyday details. It is a different service from a human styling appointment, tailoring or clothing delivery.

Start with clothes you own and the occasion they need to cover. A useful plan names the garments, the expected formality and any part of the fit you want to change. For a suit-based setting, use the business professional outfit guide. If the invitation only says business smart, the dress-code comparison helps you identify what to clarify with the host.
Include observations such as:
Key points:
A garment check can reveal which piece needs attention. Alterations and physical fitting belong with the appropriate professional.

A sample meeting combination is a navy jacket, pale blue shirt, gray trousers and brown loafers. Sit down in it, move your arms and check the collar before the day. To develop a plan from your own pieces, work through the meeting outfit with Macaron. Include the clothing list and a request for a second version suitable for an informal afternoon.
Keep the trousers and loafers, and try your open-collar knit for the desk portion of the day if it suits the setting. The jacket can stay off when it is unnecessary. After wearing the outfit, record the detail that mattered: a restrictive collar, comfortable trouser room or a layer you never needed. Macaron can use the context you provide when planning another workday. Update availability when something is being cleaned.
This page describes AI outfit planning in Macaron. It does not include a human consultation, garment fitting or stylist review.
Yes. List the available pieces and ask to exclude shopping suggestions. Correct the list if a piece is unavailable or no longer fits comfortably.
Share only details useful to the plan, such as preferred trouser room or shirt length. Clothing measurements cannot guarantee fit across brands, so check the garment itself when buying.
Ask the host or workplace for examples of acceptable clothing. Bring that clarification into the outfit brief rather than relying on an AI interpretation of an ambiguous label.