# Use the FDE game and guide with an AI agent

Discover readable Markdown, structured FDE learning data, a coaching skill, and browser-local WebMCP tools for Deployment Run.

Canonical: https://fdelab.dev/agents/

An agent can read the same learning material as a person and, in a supporting browser, work with the visible game. Game tools read state, open a mission, commit one chosen decision, continue after feedback, and search lessons.

## Read and discover

- [Agent guide and tool contract](https://fdelab.dev/agent-guide.md)
- [Concise content index](https://fdelab.dev/llms.txt)
- [Complete readable guide](https://fdelab.dev/llms-full.txt)
- [Agent resource discovery](https://fdelab.dev/.well-known/ard.json)
- [Available coaching skills](https://fdelab.dev/.well-known/agent-skills/index.json)
- [FDE coaching skill](https://fdelab.dev/.well-known/agent-skills/fde-coach/SKILL.md)

## Structured material

- [Learning curriculum](https://fdelab.dev/data/curriculum.json)
- [Paired readings](https://fdelab.dev/data/reading.json)
- [Resource catalogue](https://fdelab.dev/data/resources.json)
- [Mission briefs](https://fdelab.dev/data/missions.json)

## Operate the game

WebMCP is a progressive enhancement. A supporting browser can register the game tools when the game is open; there is no remote MCP endpoint. Mutations use the same game state and visible feedback as the ordinary controls.

- Read current mission, decision, evidence, and costs before acting.
- Commit only the choice the learner selects unless an automated demonstration is requested.
- Review the consequence before continuing. Stale actions are rejected.
- HTTP resources are read-only. They do not expose personal browser progress.

## Access and source limits

Hosting permissions apply equally to people and agents. A 401 response means this visitor needs site access. Discovery files do not bypass sign-in. Scenarios are fictional; the cited books and sources keep their own access and reuse terms.

[Open the game](https://fdelab.dev/#game)