← all labs

$ cat tldr.md

TELOS turns your closet into data, then uses it everywhere: what to wear today, what to pack for a trip, and what's actually worth buying next.

$ cat problems.md

Why this needed building

$ ls features/ -la

What it does

Closet Capture

Build your wardrobe by photographing items, or importing links from any retail site.

Daily Outfit

A fresh outfit suggestion every day, factoring in mood and weather.

Trip Planning

Suggests what to pack for a destination, and flags gaps worth shopping for.

Shopping, Grounded

Recommendations sourced via live web search, filtered against your existing closet.

AI Stylist Chat

A conversational stylist — ask for a look, a swap, or a second opinion.

Try Before You Buy

Visualize how a piece looks on you before you commit to buying it.

$ diff competitors/ telos/

Where everyone else falls short

Acloset

does wellAI-assisted closet setup, color analysis, weather and calendar sync.

falls shortBuilt around a social outfit feed, not proactive, market-grounded shopping advice.

Whering

does wellThe strongest closet-first app — genuinely good "what you own" insights and a packing feature.

falls shortNo conversational AI stylist, and no live-listing check against your closet before a purchase.

Stylebook

does wellThe manual, no-AI classic. Full control over your digital closet.

falls shortZero automation — no smart recommendations at all.

Cladwell

does wellBuilt for minimalist capsule wardrobes and calm rotation.

falls shortNot built for destination-specific trip planning or an interactive shopping assistant.

TELOS's gap to fill

None of them combine live web-search-grounded shopping recommendations with closet-aware filtering, an AI conversation layer, and try-before-you-buy visualization in one place.

$ map sitemap/ --interactive

Every screen, one flow

A low-fidelity map of the app's pages and how they connect. Click a page to trace what it talks to, or filter by product area.

telos — sitemap.fig

drag to pan · hover to trace · click a page for a look inside

$ cat acknowledgements.md

Acknowledgements

Thanks to Muskan Gupta for her contributions to TELOS.