# A field guide to Agent Experience

> Agent Experience (AX) is how well a product works when an AI agent uses it for a person. Free guides, a readiness rubric, worked examples and a read-only MCP server.

Section: An independent field guide  
Canonical: https://agentexperience.tech/

Agent Experience (AX) is how well a product works when an AI agent uses it on someone’s behalf. These free guides cover the tools, docs, approvals and recovery paths that agents depend on, and how to get them right.

Written for product managers, designers, engineers, technical writers and AI teams putting an agent in front of a real workflow.

- Written and curated by [Himadri Mishra](https://agentexperience.tech/about/)

[Start with the first guide](https://agentexperience.tech/insights/what-is-agent-experience/)

[Open the map](https://agentexperience.tech/map/)

[Check a tool list now](https://agentexperience.tech/connect/)

## Start here

[All guides](https://agentexperience.tech/insights/)

- [Write tool descriptions an agent can act on](https://agentexperience.tech/insights/tool-descriptions/): Help an agent understand when a tool fits, when it does not, and how to recover from a bad input. Tools & APIs
- [Keep context through the handoff](https://agentexperience.tech/insights/preserve-context-through-handoffs/): Carry the task, the decisions, and the next useful step forward when work passes between an agent and a person. Workflows
- [Find the next thing to improve](https://agentexperience.tech/insights/agent-readiness-rubric/): Check one job your agent does against the Open Agent-Readiness Rubric. You get a profile across six tracks, each rated at one of four levels. Evaluation

## Look at the public work

The rules, findings and examples the guides draw on.

- [Checker rules](https://agentexperience.tech/checks/): The rules of ax-check, a checker for tool descriptions, command-line tools and agent instructions, documented ahead of its release.
- [Evidence register](https://agentexperience.tech/evidence/): Public findings on how agents find, choose and use tools, each with its source and its evidence type (preprint, vendor report, public issue).
- [What changed in AX](https://agentexperience.tech/changes/): A digest, about every two weeks, of the launches, specifications and research that matter to agent-facing products, each with its source.
- [Worked examples](https://agentexperience.tech/examples/): Made-up but realistic agent workflows, each with its tests and its limits.

[Selected public work](https://agentexperience.tech/work/) [Free resources and templates](https://agentexperience.tech/resources/)

## Use it in your assistant

Connect your assistant to this free, read-only MCP server and it can search and read the guides, fetch the rubric and run `audit_agent_path`, the one check you can run here today.

```
https://agentexperience.tech/api/mcp
```

[Connect to the MCP](https://agentexperience.tech/connect/)

## Common questions

### What is this site?

An independent guide to AX, written in public. Everything on it is free: practical guides, an open readiness rubric, worked examples, review templates and a read-only MCP server.

### Who is it for?

Product managers, designers, engineers, technical writers and AI teams putting an agent in front of a workflow that matters.

### Where should I start?

Read the guide that defines AX. Then take one workflow you want to hand to an agent and walk it through the field map. The rubric shows what to fix first.

### What can I check for myself?

The rubric and its JSON copy, the tool-description test cases, the worked examples and their tests, and this site’s own agent-facing files.