The chronological history of Muse.
The log records what changed over time. It is deliberately chronological rather than retrospective — entries are added at the top and older entries are not rewritten to make the story cleaner.
-
September 2026
Computer vision and product recognition exploration
What changed: technical exploration extended to Google Cloud's vision capabilities and Product Search concepts for clothing imagery. A product-set approach for clothing images was considered, and a Google Cloud environment was set up.
Why it matters: it tests whether existing visual-recognition infrastructure can provide building blocks for Muse, and it surfaced the distinction between general image understanding and product-specific visual search.
Next step: turn the open questions into structured experiments rather than assumptions.
-
September 2026
AI wardrobe intelligence direction
What changed: the product direction was articulated more broadly around an AI-powered personal-style and wardrobe intelligence system — understanding clothing, evaluating pieces, identifying combinations, creating outfits, recommending what to wear, identifying wardrobe gaps and learning personal style.
Why it matters: it moves Muse beyond wardrobe cataloguing and defines the relationships the system would need to reason about.
Next step: establish which single capability is the first genuinely useful product experience.
-
August 2026
Muse established as a fashion application concept
What changed: Muse emerged as a fashion and clothing application exploring the use of technology to understand a person's wardrobe and style. The concept included photographing or measuring clothing, evaluating items, matching pieces, building a wardrobe and recommending outfits.
Why it matters: it set the problem space. The intended audience spans men and women, with somewhat stronger appeal toward women while remaining broadly applicable.
Next step: develop the concept into a product direction.
Capabilities named in these entries represent product direction. They should not be read as implemented functionality — see feature status.
Date · area · what changed · why it matters · next step.
New entries are added at the top. The log is the project's memory, so entries are not edited retrospectively; if something turned out to be wrong, that becomes a new entry rather than a correction to an old one.