Practical guides on Agent Experience: making products, documentation, tools, and workflows easier for AI agents to discover, understand, use, and recover through.https://agentexperience.tech/enhttps://agentexperience.tech/insights/agent-experience-framework/https://agentexperience.tech/insights/agent-experience-framework/A named, practical framework for Agent Experience work with AI agents: a five-part field map (orient, discover, act, collaborate, learn), a four-step method for applying it, and a rubric for taking inventory of what a product has declared.Wed, 02 Sep 2026 06:30:00 GMTagent experiencefoundationsframeworkmethodevaluationhttps://agentexperience.tech/insights/measure-agent-experience/https://agentexperience.tech/insights/measure-agent-experience/A practical guide to measuring Agent Experience: what construct you are actually measuring, the four families of AX measurement, the instrumentation a workflow needs before any number means anything, and the claims a measurement cannot support.Wed, 02 Sep 2026 06:30:00 GMTevaluationmeasurementinstrumentationreliabilityworkflowshttps://agentexperience.tech/insights/agent-readiness-rubric/https://agentexperience.tech/insights/agent-readiness-rubric/A vendor-neutral, versioned checklist and weighted scoring model for how ready a website or product is for AI agents, across discovery, structure, machine-readable content, action safety, recovery, and policy signals.Tue, 01 Sep 2026 06:30:00 GMTagent readinessevaluationdiscoverystandardschecklisthttps://agentexperience.tech/insights/state-of-llms-txt/https://agentexperience.tech/insights/state-of-llms-txt/A sceptical review of the public evidence on llms.txt as of September 2026: what adoption studies actually measured, which bots fetch the file, what Google and Chrome each say, and whether you should ship one.Tue, 01 Sep 2026 06:30:00 GMTdiscoverystandardsevidencellms.txtgeohttps://agentexperience.tech/insights/agent-web-standards/https://agentexperience.tech/insights/agent-web-standards/A maintained, vendor-neutral comparison of the files and protocols that claim to make a website legible to AI agents — what each one is, who is behind it, who actually reads it, and what we recommend.Tue, 01 Sep 2026 06:30:00 GMTstandardsdiscoveryllms.txtmcpcomparisonhttps://agentexperience.tech/insights/agentic-resource-discovery/https://agentexperience.tech/insights/agentic-resource-discovery/How the Agentic Resource Discovery specification works, why ai-catalog.json has been superseded by /.well-known/ard.json, and a worked example for publishing a manifest on a docs or content site.Tue, 01 Sep 2026 06:30:00 GMTdiscoverystandardsardwell-knownmcphttps://agentexperience.tech/insights/what-is-agent-experience/https://agentexperience.tech/insights/what-is-agent-experience/A practical definition of Agent Experience (AX): how to make products, documentation, tools, and workflows easier for AI agents to discover, understand, use, recover through, and act within.Tue, 25 Aug 2026 20:02:14 GMTagent experiencefoundationsdefinitionworkflowshttps://agentexperience.tech/insights/tool-descriptions/https://agentexperience.tech/insights/tool-descriptions/How to write tool names, descriptions, and JSON schemas that help an AI agent choose correctly, and why tool text deserves review like any other interface copy.Tue, 25 Aug 2026 20:02:14 GMTtoolsdocumentationtool selectionjson schemahttps://agentexperience.tech/insights/make-documentation-legible/https://agentexperience.tech/insights/make-documentation-legible/Practical guidance for making product documentation, tool instructions, and workflows easier for AI agents to understand and use.Tue, 25 Aug 2026 20:02:14 GMTdocumentationdiscoverytoolshttps://agentexperience.tech/insights/agent-friendly-websites/https://agentexperience.tech/insights/agent-friendly-websites/A practical guide to building an agent-friendly website: semantic structure, stable journeys, crawler policy, and the content AI agents need to finish a task.Tue, 25 Aug 2026 20:02:14 GMTdiscoverywebsitesaccessibilitysemantic htmlcrawlershttps://agentexperience.tech/insights/ax-vs-ux-dx-geo/https://agentexperience.tech/insights/ax-vs-ux-dx-geo/AX vs UX vs DX vs GEO, compared side by side: who the user is, what the interface is, how feedback arrives, and what success looks like in each discipline—plus the two competing meanings of Agent Experience.Tue, 25 Aug 2026 20:02:14 GMTfoundationsdiscoverydefinitionax vs uxagent experience designhttps://agentexperience.tech/insights/agent-tool-catalogs/https://agentexperience.tech/insights/agent-tool-catalogs/Why a smaller, clearer tool catalog can make agent-facing workflows easier to select, understand, and operate.Tue, 25 Aug 2026 20:02:14 GMTtoolstool selectionworkflowshttps://agentexperience.tech/insights/start-with-workflows/https://agentexperience.tech/insights/start-with-workflows/A practical way to decide where agentic behavior belongs in a product workflow.Tue, 25 Aug 2026 20:02:14 GMTworkflowsstrategyautonomyhttps://agentexperience.tech/insights/evaluating-agent-workflows/https://agentexperience.tech/insights/evaluating-agent-workflows/Why evaluating an AI agent workflow means scoring the decisions along the path — tool selection, input formation, stopping, and recovery — not only the final answer.Tue, 25 Aug 2026 20:02:14 GMTevaluationworkflowstool selectionreliabilityhttps://agentexperience.tech/insights/run-an-ax-review/https://agentexperience.tech/insights/run-an-ax-review/A step-by-step method for running an Agent Experience review: pick one workflow, map its surfaces, watch the decision points, and turn patterns into product changes.Tue, 25 Aug 2026 20:02:14 GMTevaluationreviewworkflowsdecision pointshttps://agentexperience.tech/insights/approval-is-a-workflow/https://agentexperience.tech/insights/approval-is-a-workflow/How to design meaningful human-in-the-loop approvals for AI agents: name the action and its consequence, offer more than allow or deny, and keep the task resumable.Tue, 25 Aug 2026 20:02:14 GMTdelegated actionworkflowsrecoverypermissionshttps://agentexperience.tech/insights/design-for-recovery/https://agentexperience.tech/insights/design-for-recovery/How recovery paths, uncertainty, and clear handoffs improve agent-facing product workflows.Tue, 25 Aug 2026 20:02:14 GMTrecoveryreliabilityworkflowshttps://agentexperience.tech/insights/show-the-next-decision/https://agentexperience.tech/insights/show-the-next-decision/How to design agent-facing dashboards around decisions, status, and meaningful next steps.Tue, 25 Aug 2026 20:02:14 GMTinterfacesdelegated actionreliabilityhttps://agentexperience.tech/insights/preserve-context-through-handoffs/https://agentexperience.tech/insights/preserve-context-through-handoffs/Why agent workflows need durable context at every handoff, review, and recovery point.Tue, 25 Aug 2026 20:02:14 GMTworkflowsdelegated actionrecoveryhttps://agentexperience.tech/insights/retries-are-product-history/https://agentexperience.tech/insights/retries-are-product-history/Why hiding an AI agent's retry history creates false confidence, and how to record attempts so a team can tell recovery from clean success.Tue, 25 Aug 2026 20:02:14 GMTreliabilityrecoveryevaluationobservabilityhttps://agentexperience.tech/insights/build-a-reliable-agent-evaluation-loop/https://agentexperience.tech/insights/build-a-reliable-agent-evaluation-loop/A practical framework for using agent workflow evaluation to drive meaningful product improvements.Tue, 25 Aug 2026 20:02:14 GMTevaluationreliabilityworkflows