What I do

I design AI-native products: generative interfaces, multi-agent workflows, and the moments where AI fails, surprises, or needs to explain itself. My focus is on making AI capability feel legible, trustworthy, and interruptible to real users.

Core design competencies: capability surfacing, agent legibility, in-flight control, repair UX, streaming and failure states, autonomy gradients, memory UX, and human-AI workflow design.

Built in production, not as concepts. At Mootion I led design for a multi-agent video generation product used by 2M+ creators across 50+ countries, including building the consumer app's Design Language and Design System from zero and establishing these interaction patterns across the product.

Selected work

Mootion — Autoflow

Head of Product Design · 2022–2025 · AI-native video generation

Designed a multi-agent workflow UI where 4 AI roles handle video creation end-to-end. Introduced a two-layer user control system (interval-level countdown + scene-level animation choice) to balance automation with user trust. Completion rate: 30% → 60%.

View case study → mootion.com ↗

Mootion — Arabic UX Optimization · Designing for cultural constraints: RTL, Muslim avatars, and religious workflow rules for 15% of DAU 2022–2025

Mootion — Landing Conversion · Simulated AI generation flow that showed product value before sign-up, lifting new user registration rate 2022–2025

Own Tool — in progress, designing and shipping a self-built AI product, from zero 2026

Experience

Contact