Meta AI on WhatsApp
Making AI feel native to messaging, for billions of people.
Senior Design Director
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2023–2026
Shaped how AI appears in messaging on WhatsApp and shipped a broad set of AI features, from the first consumer launch through Incognito Chat.
Problem
When Meta set out to build a widely used AI assistant, WhatsApp had the largest audience and a high bar for privacy and craft: end-to-end encryption and a brand built on restraint. That put WhatsApp in a position to define how AI showed up across Meta's consumer apps. It came down to a few things: design interaction patterns native to messaging, strong enough that other Meta apps could adopt them; introduce AI in a way that fit the brand; and move at pace while protecting what makes WhatsApp trusted.
Approach
I shaped product direction through multiple CEO reviews (presenting strategy, defending tradeoffs, and translating feedback into shipped product) while building and coaching the design team. WhatsApp’s constraints of privacy, simplicity, and trust produced better product thinking, and the resulting patterns transferred to other apps.
Process
2023: Foundation
Created the mental model for how AI experiences appear in messaging and iterated on the framework through multiple CEO reviews; it helped guide AI product decisions across Meta’s apps. Scoped and shipped the initial consumer AI experience on WhatsApp, timed to Meta’s annual "Connect" conference.
2024: Iteration and Refinement
Defined the entry-points strategy for bringing AI into the messaging context; the pattern was later reflected across Meta’s other apps. Designed a voice interaction model that drove meaningfully deeper engagement than text and was subsequently adopted more broadly.
2025–2026: Deeper integrations
Led the strategy for bringing AI into private chats, a challenge specific to an encrypted app, shipping message summaries and writing help and culminating in Incognito Chat, the first fully private way to chat with AI.
Outcome
Patterns I designed (AI entry points, voice interaction, and Private Processing) were reflected across Meta’s other apps. Shipped a broad set of AI features spanning consumer AI, voice, multimodal, Private Processing, and AI Studio. Built and led the design team from the ground up through significant organizational change.
Easily prompt Meta AI with text or voice
Meta AI threads balance utility and familiarity
@ mention Meta AI from any chat
Live call with Meta AI
Meta AI creative tools
Lessons
Designing under tight constraints produced patterns that transferred well to less-constrained apps. Encryption, simplicity, and user trust forced sharper product decisions.