Layered vs Poke (Interaction Co.)
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Layered | Poke (Interaction Co.) |
|---|---|---|
| Primary Function | AI wardrobe & styling assistant | AI personal assistant for messaging & automation |
| Platform Integration | iOS only (iPhone, photo library, widget) | Apple Messages, WhatsApp, Telegram, RCS (cross-platform) |
| Key AI Feature | Auto-build closet from selfies via Google Gemini | Task automation & email/calendar management via frontier models |
| Best For | Fashion enthusiasts & frequent travelers | Productivity-focused users managing multiple apps |
| Notable Integration | No external integrations; uses on-device processing | Notion, Oura, Gmail, Outlook, TripIt, Todoist |
Layered and Poke serve completely different needs: Layered is a specialized fashion app for wardrobe management and outfit suggestions, while Poke is a general-purpose AI assistant for messaging and task automation. Choose Layered if you want to digitally organize your closet and get daily styling ideas from your own selfies. Pick Poke if you need a unified chat interface to manage email, calendar, reminders, and integrations across multiple apps. Neither replaces the other; your choice depends solely on whether your priority is fashion or productivity.
AI stylist that turns your selfies into a digital wardrobe with cost-per-wear tracking.
Visit Website
AI personal assistant in your texts — Apple Messages, WhatsApp, Telegram & RCS
Visit WebsiteWhat real users say: Layered vs Poke (Interaction Co.)
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
Layered
88 mentions across 6 sources · 8% positive — critical (averaged across 6 sources)
Hacker News, YouTube, Product Hunt, App Store, Stack Overflow, Lemmy
What users praise
- • Auto-build closet from selfies saves manual entry time.
- • On-device background removal protects privacy.
- • Travel capsule generator tailors packs by destination and luggage.
- • Cost-per-wear tracking adds practical value for budget-conscious shoppers.
What frustrates them
- • Garment detection is inaccurate — confuses layers and fails on white shirts.
- • Paywall nags frustrate users and feels pushy.
- • Core feature (auto-build) is unreliable due to detection bugs.
- • Only one user review and it's 1-star; no positive feedback anywhere.
Researched Aug 13, 2026
Poke (Interaction Co.)
19 mentions across 1 sources · 7% positive — critical (averaged across 11 sources)
YouTube
What users praise
- • Integrates directly into iMessage, WhatsApp, Telegram, and RCS.
- • Handles email, calendar, reminders, and web search from chat.
- • Verified source citations for web results increase trust.
- • Deep integrations with Notion, Oura, Gmail, Outlook, TripIt.
What frustrates them
- • No community feedback on Reddit, HN, or other major platforms.
- • Premium pricing at $19-$199/month may be steep.
- • Workflow setup (Poke Recipes) may confuse new users.
- • Edge-case file handling like spreadsheets is unproven.
Researched Jul 17, 2026
Who should pick which
- Fashion-conscious minimalistPick: Layered
Layered's cost-per-wear tracking and closet cleanup suggestions help minimize wardrobe clutter, while daily outfit recommendations maximize use of existing pieces.
- Frequent business travelerPick: Layered
The travel capsule wardrobe generator creates packing lists optimized for destination, climate, and luggage size, saving time and ensuring appropriate outfits.
- Productivity power userPick: Poke (Interaction Co.)
Poke automates email, calendar, reminders, and integrates with Notion, Oura, and TripIt – all from a single messaging interface. Proactive automations (Pro/Ultra) save hours daily.
- Health & wellness trackerPick: Poke (Interaction Co.)
Oura integration lets you check sleep, readiness, and activity without opening the app. You can also set reminders or log data via chat.
- iOS user wanting quick digital closetPick: Layered
Auto-build from selfies eliminates manual cataloging. One-time setup then daily outfit suggestions with minimal ongoing effort.
Frequently Asked Questions
Layered vs Poke (Interaction Co.): which should you choose?
Layered and Poke serve completely different needs: Layered is a specialized fashion app for wardrobe management and outfit suggestions, while Poke is a general-purpose AI assistant for messaging and task automation. Choose Layered if you want to digitally organize your closet and get daily styling ideas from your own selfies. Pick Poke if you need a unified chat interface to manage email, calendar, reminders, and integrations across multiple apps. Neither replaces the other; your choice depends solely on whether your priority is fashion or productivity.
Can Layered be used on Android?
No, Layered is iOS-only (iPhone). It relies on the photo library and home screen widget, which are not available on Android.
Does Poke work offline?
No, Poke requires an internet connection to process queries, access integrations, and send messages through the connected services.
Which app is better for travel wardrobe planning?
Layered is specifically designed for this – it generates a capsule wardrobe based on destination, climate, and luggage size. Poke's TripIt integration helps with travel logistics but not clothing.
Can Poke manage my email and calendar?
Yes, Poke integrates with Gmail and Outlook for reading, searching, drafting, and sending emails, and with Calendar for scheduling, checking availability, and recurring events.
Does Layered track cost-per-wear automatically?
Yes, you can input the purchase price of garments, and Layered calculates cost-per-wear based on usage tracking, helping you evaluate value.
Is Poke available on Telegram?
Yes, since February 2026, Poke works on Telegram, though not in Italy or Brazil due to local restrictions.
What AI models does Poke use?
Poke uses frontier AI models (Pro tier) for more accurate processing. The free tier uses a standard model, while Ultra provides pay-as-you-go usage of advanced models.
Can Layered generate outfit suggestions for specific events?
Yes, Layered provides daily outfit suggestions from your existing wardrobe and can generate Pinterest-style lookbooks for new items, but it does not have explicit event-based filtering (e.g., wedding, interview).
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Last reviewed: July 3, 2026