AXD Knowledge Base: Glossary & FAQ for Agentic Experience Design

What is Agentic Experience Design?

Agentic Experience Design (AXD) is the discipline for designing trust-governed relationships between humans and autonomous AI systems. Founded in September 2024 by Tony Wood in Manchester, United Kingdom, AXD addresses how humans delegate, calibrate, observe, interrupt, and recover trust in agentic AI.

How does AXD differ from traditional UX?

Why is trust architecture important for agentic AI?

Key concepts in AXD Knowledge Base | Glossary & FAQ for Agentic Experience Design

How do axd knowledge base relate to agentic commerce?

  1. Agency requires intentional delegation — every agentic system begins with a designed act of delegation
  2. Trust is the primary material — AXD works in trust rather than attention
  3. Absence is the primary use state — the most consequential experiences happen when no one is watching
  4. Relationships have temporality — agentic experiences accumulate history over time
  5. Outcomes replace outputs — AXD designers specify results, not interfaces
DimensionTraditional UXAgentic Experience Design (AXD)
Primary materialAttention and affordanceTrust and delegation
User statePresent, navigatingAbsent, delegating
Design outputScreens and interfacesOutcomes and constraints
Temporal modelSession-basedRelationship-based
Success metricTask completionTrust calibration

Frequently Asked Questions

What is agentic commerce?

Agentic commerce emerges when autonomous AI agents become active participants in markets \u2014 buying, selling, negotiating, and fulfilling orders without a human clicking through an interface. It covers three transaction patterns: machine-to-human (an agent purchasing from a traditional business), human-to-machine (a person buying from an agent-run service), and machine-to-machine (agents on both sides of the deal). The shift is structural, not incremental: when the customer is an algorithm wi

What is agentic AI?

Agentic AI refers to autonomous systems that act on behalf of humans \u2014 anticipating needs, making decisions, executing transactions, and operating independently without constant human supervision. Unlike traditional AI that responds to prompts, agentic AI initiates action, pursues goals across multiple steps, and adapts its behaviour based on outcomes. Agentic AI powers agentic commerce and agentic shopping, where agents transact autonomously on behalf of human principals.

What is Agentic Experience Design?

AXD is the discipline that governs how people and autonomous AI systems build, maintain, and repair working relationships. It was created because traditional UX \u2014 designed for screen-based interactions where the user is always present \u2014 has no framework for systems that act while the human is away. AXD addresses the five core challenges of human-agent relationships: how authority is granted, how boundaries are set, how actions are monitored from a distance, how humans step back in when

What does AXD stand for?

AXD stands for Agentic Experience Design. The \u2018A\u2019 denotes agency \u2014 the capacity of AI systems to act autonomously on behalf of humans. The \u2018X\u2019 represents experience \u2014 the full arc of the human-agent relationship, from initial delegation through absent-state operation to outcome assessment. The \u2018D\u2019 signals design \u2014 the intentional structuring of these relationships rather than leaving them to emerge by accident.

What is a machine customer?

A machine customer is an autonomous AI agent that acts as a buyer on behalf of a human \u2014 discovering products, comparing options, negotiating prices, and completing transactions without the human ever visiting a website or opening an app. Machine customers operate with zero brand loyalty, infinite comparison patience, and no susceptibility to emotional marketing. This concept challenges every assumption of customer experience design.

Key Takeaways

Canonical definitions and frequently asked questions about Agentic

References and Citations

Gartner: Machine Customers Will Be a Multibillion-Dollar Opportunity Harvard Business Review: The Age of AI Agents McKinsey: The State of AI in 2024 About the AXD Institute Contact Us Email the AXD Institute Tony Wood on LinkedIn Tony Wood on X (Twitter)