What is Structured Data for Agentic AI | AXD Institute?
Structured Data for Agentic AI — 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 Structured Data for Agentic AI | AXD Institute
How do what structured data do agentic ai systems need relate to agentic commerce?
what structured data do agentic ai systems need
structured data enable machine customers
the difference between structured data for humans and for agents
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
What structured data do agentic AI systems need?
Agentic AI systems need structured data for: product catalogues (machine-readable specifications), pricing (dynamic, API-accessible), terms and conditions (machine-parseable), trust credentials (verifiable agent identity), delegation contracts (structured authority definitions), and transaction records (auditable action logs).
How does structured data enable machine customers?
Structured data enables machine customers by providing the information agents need to make autonomous purchasing decisions. Without structured data, agents must scrape and interpret unstructured content, leading to errors and inefficiency. Structured data creates the machine-readable marketplace that agentic commerce requires.
What is the difference between structured data for humans and for agents?
Structured data for humans is typically visual (charts, infographics, formatted tables). Structured data for agents is semantic (JSON-LD, APIs, machine-readable schemas). The key difference is that agent-oriented structured data must be unambiguous, complete, and programmatically accessible, while human-oriented data can rely on visual context and inference.
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.