The second pillar of AXD Readiness. Machine customers calculate trust from verifiable metrics, not brand promises.
| 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 |
In agentic commerce, agent reputation functions as a trust signal for counterparties. Merchants can assess whether an agent has a history of legitimate transactions, timely payments, and accurate representations. This reputation data enables graduated trust: well-reputed agents receive faster processing, better terms, and higher transaction limits.
Reputation infrastructure is the trust layer that enables strangers to transact in the agentic economy. Without verifiable reputation data, every agent interaction starts from zero trust, requiring expensive verification for every transaction. Reputation infrastructure amortises trust-building costs across many interactions, making agentic commerce economically viable.
In agentic commerce, agent reputation functions as a trust signal for counterparties. Merchants can assess whether an agent has a history of legitimate transactions, timely payments, and accurate representations. This reputation data enables graduated trust: well-reputed agents receive faster processing, better terms, and higher transaction limits.
Reputation infrastructure is the trust layer that enables strangers to transact in the agentic economy. Without verifiable reputation data, every agent interaction starts from zero trust, requiring expensive verification for every transaction. Reputation infrastructure amortises trust-building costs across many interactions, making agentic commerce economically viable.
Trust is calculated. This is the sentence that separates the human era of commerce from the agentic era. For centuries, trust between buyers and sellers has been built through narrative: brand stories, advertising campaigns, celebrity endorsements, word-of-mouth recommendations, and the accumulated weight of cultural association. Nike is trusted not because consumers have audited its supply chain but because decades of storytelling have created an emotional bond between the brand and its customers. That bond is powerful, durable, and - to a machine - entirely meaningless. Reputation via Reliability is the second pillar of AXD readiness. It is the discipline of proving your trustworthiness through data, not promises. It requires businesses to publish real-time performance metrics, obtain machine-verifiable certifications, and build the infrastructure that allows autonomous agents to independently confirm that a vendor is what it claims to be. Brand loyalty is a human phenomenon. It is rooted in memory, emotion, and social identity. A person who has always bought Toyota does not switch to Honda because Honda's reliability statistics are marginally better. The switching cost is not financial - it is psychological. Brand loyalty is a cognitive shortcut that reduces the burden of decision-making by substituting past experience for present analysis. Machines do not need cognitive shortcuts. They have infinite patience for analysis and zero attachment to past choices. An autonomous purchasing agent - an This is the fundamental disruption that reputation via reliability represents. In human commerce, reputation is sticky - it persists even when performance dips. In agentic commerce, reputation is fluid - it is recalculated with every interaction. A vendor's reputation with an agent is not a brand asset accumulated over years. It is a real-time score derived from the most recent performance data. This means that every API response, every fulfilment event, every data freshnes