Facilitair
Designing the Future of AI Interaction
Date: 2025
Project Owner: Blake Ledden (ex-Apple)
My Roles: Product Design · User Experience · User Research · Systems Design · Service Design · Branding · Creative Direction
AI tools are powerful but fragmented. Switching models, tuning prompts, and comparing results slows real work. The challenge was to design a human-centered orchestration system that hides technical complexity while maintaining transparency and control.
Challenge
Approach
I led end-to-end product and UX design to translate a deeply technical orchestration engine into a cohesive and trustworthy experience.
Systems Thinking: mapped user goals, orchestration states, model routing, and feedback loops.
Interaction & UI Design: built an interface that visualizes model consensus and confidence without cognitive overload.
Design Research: conducted interviews, prototype testing, and cognitive walkthroughs to identify pain points and mental models.
Branding: created a visual and verbal identity that communicates reliability, sophistication, and accessibility across all touchpoints.
Solution
A unified experience that:
Automates task routing to the optimal models with explainable transparency.
Visualizes consensus and confidence to help users understand why results are chosen.
Reduces friction through simplified setup and adaptive guidance.
Scales from individuals to teams with shared orchestration policies and auditability.
IMpact: IN progress
Facilitair remains in active development. Instead of speculative numbers, we focus on evidence-based design outcomes and defined success metrics to measure during beta.
Evidence so far
Reduced configuration friction through simplified orchestration flows.
Improved comprehension of multi-model routing in early concept testing.
Established a scalable design system that accelerates iteration and engineering alignment.
What we’ll measure in Beta
Time to complete core tasks (setup → execution → review).
Changes in perceived trust and accuracy with consensus visualization.
Reduction in user errors and decision fatigue.
Onboarding completion, retention, and feature adoption rates.
