Usability
Can an agent understand the available capability, choose it correctly, complete the intended task, and recover from failure?
AX-USoftware has a new user.
Agent Experience is the quality of software as experienced by AI agents acting on behalf of people. This field guide maps what they can find, use, verify, and safely do.
Usetask success
Findretrieval + citation
Actauthority + recovery
Three connected outcomes. Three separate measurement boundaries.
A working definition
Agent Experience is the quality of a digital product or platform as experienced by AI agents acting on behalf of human users—including whether the agent can discover, access, understand, execute, recover, and be observed within the system.
Neutral synthesis from public definitions and adjacent research · Working draft, August 2026
The field map
AX overlaps developer experience, information retrieval, agent-computer interaction, evaluation, and security. It should not collapse those disciplines into one score.
Visibility
Can an agent or answer engine find, retrieve, cite, and accurately represent the relevant public information?
AX-VDelegated action
Can an agent act for a person with explicit authority, bounded permissions, provenance, and a safe path back?
AX-DResearch under review
The current corpus is public-source working research, not a finished standard. Each report exposes uncertainty and must pass claim-level review before publication as guidance.
Definitions, history, and the boundaries of Agent Experience
Inspect →Tool discovery, documentation, routing, and agent tool use
Inspect →Benchmarks, datasets, harnesses, and validity threats
Inspect →Permissions, provenance, prompt injection, and recovery
Inspect →Authority should be inspectable.
Every durable insight should trace backward from practical guidance to a reviewed finding, a falsifiable claim, and public evidence or a reproducible public run.
Read the publication method04Practical guidance
03Reviewed finding
02Falsifiable claim
01Public evidence
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