AXD for Content Teams — an AXD Institute resource on agentic experience design, agentic commerce, trust architecture, and human agent interaction. Founded by Tony Wood..
How does AXD differ from traditional UX?
Why is trust architecture important for agentic AI?
Key concepts in AXD for Content Teams | AXD Institute
How do how should content teams prepare for agentic ai relate to agentic commerce?
how should content teams prepare for agentic ai
machine-readable content and why does it matter
content strategy change for agentic commerce
Agency requires intentional delegation — every agentic system begins with a designed act of delegation
Trust is the primary material — AXD works in trust rather than attention
Absence is the primary use state — the most consequential experiences happen when no one is watching
Relationships have temporality — agentic experiences accumulate history over time
Outcomes replace outputs — AXD designers specify results, not interfaces
Dimension
Traditional UX
Agentic Experience Design (AXD)
Primary material
Attention and affordance
Trust and delegation
User state
Present, navigating
Absent, delegating
Design output
Screens and interfaces
Outcomes and constraints
Temporal model
Session-based
Relationship-based
Success metric
Task completion
Trust calibration
Frequently Asked Questions
How should content teams prepare for agentic AI?
Content teams should prepare by making content machine-readable through structured data, creating agent-friendly content formats, optimising for AI answer engines (AEO), and developing content that serves both human readers and autonomous agents. This dual-audience approach is essential for the agentic web.
What is machine-readable content and why does it matter?
Machine-readable content is structured information that AI agents can parse, interpret, and act upon without human mediation. It matters because as agentic commerce grows, AI agents will increasingly discover, evaluate, and transact based on content they can read directly. Content that is only human-readable becomes invisible to machine customers.
How does content strategy change for agentic commerce?
Content strategy for agentic commerce shifts from persuasion to precision: instead of emotional appeals designed for human browsers, content must provide structured, verifiable, machine-readable information that agents can use for autonomous decision-making. This means structured product data, clear pricing APIs, and machine-readable terms and conditions.
Key Takeaways
Agentic Experience Design (AXD) is a new discipline for the age of autonomous AI. It addresses trust architecture, delegation design, and human agent interaction — the core challenges of agentic commerce and agentic shopping.