/
© 2026 RiffOn. All rights reserved.
  1. Dive Club 🤿
  2. Emily Campbell - AI UX Deep Dive
Emily Campbell - AI UX Deep Dive

Emily Campbell - AI UX Deep Dive

Dive Club 🤿 · Nov 24, 2025

Design for AI is not about interfaces, but about facilitating human-machine interaction. Learn key patterns for building trust and usability.

AI Shifts the Designer's Role from Interface Creator to a Guide for Human-Model Relationships

With AI, designers are no longer just guessing user intent to build static interfaces. Their new primary role is to facilitate the interaction between a user and the AI model, helping users communicate their intent, understand the model's response, and build a trusted relationship with the system.

Emily Campbell - AI UX Deep Dive thumbnail

Emily Campbell - AI UX Deep Dive

Dive Club 🤿·3 months ago

The AI Model Itself Is a Third Party in the User Experience That Designers Must Understand

Designers need to get into code faster not just for prototyping, but because the AI model is an active participant in the user experience. You cannot fully design the user's interaction without directly understanding how this non-human "third party" behaves, responds, and affects the outcome.

Emily Campbell - AI UX Deep Dive thumbnail

Emily Campbell - AI UX Deep Dive

Dive Club 🤿·3 months ago

Frame AI Interactions Skeuomorphically, Mirroring How Humans Hire and Trust People

The most effective AI user experiences are skeuomorphic, emulating real-world human interactions. Design an AI onboarding process like you would hire a personal assistant: start with small tasks, verify their work to build trust, and then grant more autonomy and context over time.

Emily Campbell - AI UX Deep Dive thumbnail

Emily Campbell - AI UX Deep Dive

Dive Club 🤿·3 months ago

For AI Design Roles, Prioritize a Designer's Voracious Curiosity Over a Polished Portfolio

In the fast-evolving world of AI, the most valuable trait in a designer is a deep-seated curiosity and the self-direction to learn and build independently. A designer who has explored, built, and formed opinions on new AI products is more valuable than one with only a perfect aesthetic.

Emily Campbell - AI UX Deep Dive thumbnail

Emily Campbell - AI UX Deep Dive

Dive Club 🤿·3 months ago

Design the Ideal Human Service First, Then Translate It Into AI Software

When building complex AI systems that mediate human interactions, like an AI proctor, start by creating a service map for the ideal human-to-human experience. Define what a great real-world proctor would do and say, then use that blueprint to design the AI's behavior, ensuring it's grounded in human needs.

Emily Campbell - AI UX Deep Dive thumbnail

Emily Campbell - AI UX Deep Dive

Dive Club 🤿·3 months ago

Invert AI Onboarding by Showing What You Know, Not Asking What the User Knows

Traditional onboarding asks users for information. A more powerful AI pattern is to take a single piece of data, like a URL or email access, immediately derive context, and show the user what the AI understands about them. This "show, don't tell" approach builds trust and demonstrates value instantly.

Emily Campbell - AI UX Deep Dive thumbnail

Emily Campbell - AI UX Deep Dive

Dive Club 🤿·3 months ago

Build User Trust in AI by Making the Model's 'Thinking' Process Visible and Verifiable

To trust an agentic AI, users need to see its work, just as a manager would with a new intern. Design patterns like "stream of thought" (showing the AI reasoning) or "planning mode" (presenting an action plan before executing) make the AI's logic legible and give users a chance to intervene, building crucial trust.

Emily Campbell - AI UX Deep Dive thumbnail

Emily Campbell - AI UX Deep Dive

Dive Club 🤿·3 months ago