Siladityaa
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CASE STUDY 001·NDA · ASK FOR DECK

Ambient AI for wearables

ROLE
Senior Product Designer Design Engineer
CREDITS
Meta Reality Labs · Wearables AI PM, Research, ML, Hardware partners
TIME
2024 — 2025
THE BRIEF

TODO(siladityaa) — Frame the public problem: what an ambient AI on a wearable is supposed to feel like, the constraints that shaped it, and why the problem matters now. Leave the what/how for the locked chapters and the in-person walkthrough.

The starting point

Context

TODO(siladityaa) — public framing paragraph. What the problem looks like from outside the company, why now, and what the team's mandate was.

PM

TODO — held the framing and the metric.

PM

Design

TODO — held the interaction model and the system.

Design

ML + Hardware

TODO — held the on-device model and the sensors.

Engineer
The trick

Designing for an absent screen

SurfaceStrengthsLimits
Voice
  • · Always available
  • · Hands-free
  • · Conversational
  • · Public-facing
  • · Latency budget
  • · Recognition errors
HapticPrivate, ambientLow information density
Companion appRich detail when neededBreaks the wearable's flow

*The interaction model has to choose between these in real time.

TODO(siladityaa) — three sentences explaining how the team framed the trade-offs and what that meant for the design.

Behind the lock

Signal architecture

03 · SIGNAL ARCHITECTURE · NDA

A system for surfacing useful moments without interrupting the user — happy to walk through the full framework in person.

Behind the lock

Interaction model

04 · INTERACTION MODEL · NDA

The gestures, prompts, and audio cues that replace the screen when there's no screen. Every primitive is documented in the full deck.

TODO(siladityaa) — a quote from a research session that sharpened the framing.

RESEARCH PARTICIPANT
Looking back

Reflection

TODO(siladityaa) — first-person paragraph about what you learned designing for an AI that's always there but rarely visible. Around sixty words.

NEXT →

Sensor feedback system