Designing the AI Experience (AIX): How We’re Bringing Human + Machine Interaction to Life
- bradyux
- Jun 20
- 4 min read
Updated: Jun 27
Brady UX on applying the AIX layer to real products—while building on what the best minds in AI and design have started.
The future of UX isn’t just about designing for people—it’s about designing for the intelligent systems acting on their behalf.
Artificial intelligence is no longer a “what if”—it’s a co-pilot in our everyday work. From ChatGPT to custom GPTs, from shopping bots to internal assistants, AI is navigating products, making decisions, and completing tasks on our behalf.
Yet most interfaces are still built with just humans in mind.
At Brady UX, we believe it’s time to evolve the way we design digital products. That’s why we’re applying a new kind of design thinking:
AIX — Artificial Intelligence Experience.
And while we’re not the only ones contributing to the definition of AIX, we’re focused on what it looks like in the hands of real teams, on real products, right now.
🧠 What Is AIX?
AIX (Artificial Intelligence Experience) is the intentional design of systems, interfaces, and workflows that optimize for both human usability and AI interpretability.
Where traditional UX focuses on clarity, delight, and conversion for people, AIX adds a second critical layer: ensuring that AI agents—like ChatGPT, Google Assistant, custom LLMs, or in-product copilots—can understand your UI, take action, and support users as collaborators.
If AI tried to use your product today, would it know what to do?
Why AIX Matters (Now More Than Ever)
✅ AI Agents Are Already Using Our Interfaces
OpenAI's GPTs, Replit’s coding bots, Shopify’s AI shopping helpers, and even customer service agents running AI macros—these systems are already acting as users.
✅ Promptability = Productivity
Designing interfaces that are prompt-compatible means enabling both users and their digital copilots to move faster, smarter, and with fewer clicks.
✅ Smart Structure Enables Smart Automation
Designing with semantic clarity, modular components, and structured metadata makes it easier for AI systems to parse your UI and for human users to delegate tasks confidently.
AIX is what makes a product ready for real AI integration—not just marketing buzz.
🛠 How Brady UX Applies AIX in the Real World
We’ve developed a modular AIX design layer that integrates seamlessly into any product—whether you’re shipping SaaS dashboards, healthcare apps, no-code tools, or consumer platforms.
Here’s how we do it:
1. AI-Readable Components
Every button, label, field, and container is structured with intent and hierarchy, so that AI agents can “see” what they’re interacting with—just like a human would.
2. Prompt-Ready Interactions
We design flows with natural language triggers in mind.Example: Instead of just relying on “Submit” buttons, we structure systems so that an LLM can parse a user’s prompt like:
“Create a new campaign with a $1,000 budget targeting Gen Z shoppers.”
3. Actionable Metadata Layer
We embed invisible affordances that help AI agents understand expected outcomes:
Input types and validation patterns (JSON, schema.org, ARIA roles)
Component-level labels for easy chaining and routing
Descriptive IDs and fallback states for when AI needs to confirm or retry
4. Human–AI Handoff Design
Some flows are best done together. We design journeys that allow:
Humans to initiate an action
AI to assist, autofill, or suggest
Humans to review, revise, or submit
Think of it as designing for a team of two: the user, and their trusted AI.
🔭 Who Else Is Defining the Future of AIX?
We’re not alone in this space—and we don’t want to be. We're building AIX alongside thought leaders and pioneers like:
@TheIncLab – one of the first to frame a “Human-Centered AIX Lab”
@eye square – conducting real-time emotional AI UX studies in their AIX Lab
@LG Electronics + @Element AI – authors of the influential “Levels of AIX” framework that defines how AI evolves across interfaces
@Sudha Jamthe – whose book “AIX: Designing Artificial Intelligence” gave shape to AIX as a practice, not just a concept
@AIxDesign – a global community connecting ethical, visual, and experiential AI thinkers
We’re proud to be part of the AIX movement—and we’re contributing through practical design work, research-backed frameworks, and open conversations with our peers.
🔧 What Brady UX Offers
If your product is powered by AI—or will be—we offer:
✔️ AIX Design Layer
A semantic, modular layer applied to your existing UI/UX to make it AI-compatible.
✔️ Prompt-Ready UI Kits
Figma components designed with metadata, voice-control compatibility, and prompt logic.
✔️ UX/AI Collaboration Design
User journeys that combine human input and AI completion in elegant, safe ways.
✔️ Accessibility for AI
Markup, structure, and affordances that ensure not just compliance—but comprehension by AI systems.
✔️ Developer Support
Clear documentation for devs on how to build AI-parseable, resilient interfaces.
Whether you’re in health tech, fintech, edtech, or e-commerce—we can help make your product copilot-ready.
🌎 Who AIX Is For
Founders launching AI-first startups
SaaS teams integrating copilots or GPT plugins
Product leaders shifting toward automated workflows
Healthcare innovators building trust into automated flows
Designers and engineers building for the next wave of human–machine systems
👋 Let’s Talk
At Brady UX, we’re not just watching this space—we’re designing it.
We believe AIX is the next evolution of UX, and we’re here to bring it from theory into daily interaction.
Want to build an interface that humans and AI can use seamlessly?
→ Book a free AIX consultation
Or join the conversation with us on:
🐦 X / Twitter💬
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