---
schema: 1
type: term
title: '**AX (agent experience)**'
description: >-
  **AX (agent experience)** is how well a product works for **AI agents** that
  use it, treated in this channel's material as a design concern **as important
  as UX** [^6fa3b152-7803-5980-8bf0-36fdcc722a1c@1031]. Improving AX means
  making it easy for agents to connect to and operate in the product — and,
  notably, you can optimize it by asking the agents themselves what confused
  them [^6fa3b152-7803-5980-8bf0-36fdcc722a1c@1031].
canonical: >-
  https://liquidgold.cc/channel/everyinc/explore/term/ax-agent-experience-ec9527a8fc63
markdown: >-
  https://liquidgold.cc/channel/everyinc/explore/term/ax-agent-experience-ec9527a8fc63.md
llms: null
parent: 'https://liquidgold.cc/channel/everyinc/llms.txt'
channel: everyinc
updated: '2026-10-23T22:12:35.346Z'
language: null
children: []
---


# \*\*AX (agent experience)\*\*

Canonical: https://liquidgold.cc/channel/everyinc/explore/term/ax-agent-experience-ec9527a8fc63

Parent: [Channel index](https://liquidgold.cc/channel/everyinc/llms.txt)

## Definition

**AX (agent experience)** is how well a product works for **AI agents** that use it, treated in this channel's material as a design concern **as important as UX** [^6fa3b152-7803-5980-8bf0-36fdcc722a1c@1031]. Improving AX means making it easy for agents to connect to and operate in the product — and, notably, you can optimize it by asking the agents themselves what confused them [^6fa3b152-7803-5980-8bf0-36fdcc722a1c@1031].

The term shows up in Every's discussion of **Proof**, their collaborative editor built for humans and agents to work in together. Kieran frames it directly: **AX (agent experience) is as important as UX** [^6fa3b152-7803-5980-8bf0-36fdcc722a1c@1031]. The idea is that when your product is meant to be used by agents — not just by people — you must design deliberately for how agents encounter, understand, and operate in it.Proof's team treats agent experience as something you can actively improve: - **Ask the agents.** You can optimize AX simply by asking the agents what confused them — agents themselves can tell you where your product's agent-facing design breaks down [^6fa3b152-7803-5980-8bf0-36fdcc722a1c@1031]. - **Keep onboarding low-friction.** Proof's agent onboarding is copy-paste a snippet to your agent — no skill or account needed [^6fa3b152-7803-5980-8bf0-36fdcc722a1c@999]. - **Prefer external, context-rich agents.** Dan found an embedded internal agent weak: what you actually want is _your own_ Claude — the one that already knows you — in the document as a co-author [^6fa3b152-7803-5980-8bf0-36fdcc722a1c@593].AX sits alongside UX as a first-class design concern for **agent-native** products. Designing for it means making it trivially easy for agents to connect, giving them room to act, and iterating on their experience the same way you iterate on a human's.- **AX (agent experience)** is treated in this channel's material as **as important as UX** for agent-native products [^6fa3b152-7803-5980-8bf0-36fdcc722a1c@1031]. - A surprising optimization technique: **ask the agents what confused them** [^6fa3b152-7803-5980-8bf0-36fdcc722a1c@1031]. - Proof keeps agent onboarding deliberately low-friction — copy-paste a snippet, no skill or account [^6fa3b152-7803-5980-8bf0-36fdcc722a1c@999]. - Design favors the user's own context-rich external agent over a weak embedded internal one [^6fa3b152-7803-5980-8bf0-36fdcc722a1c@593].