<!-- Canonical: https://www.agentlist.io/learn -->

Guides — interactive, grounded in the catalog

# Learn the landscape

The agent market is easier to read once you have the right dials. These explainers teach the two that matter most — how autonomous a system really is, and which capabilities your task actually requires — using the live catalog as the example set, not hypotheticals.

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## Interactive guides

[01Interactive · 5 levels ## The Autonomy Dial Autonomy isn't binary — it's a dial. Slide from 'suggests text' to 'holds a job' and watch what changes: who initiates, where the approval gate sits, the blast radius, and how you verify. Every level is grounded in real catalog entries. Open →](https://www.agentlist.io/learn/autonomy)

[02Quiz · 3 questions ## Which agent do you need? Describe the job, where it should live, and how much leash you're willing to give. The quiz maps your answers onto the catalog's own vocabulary — category, interfaces, capability tags — and scores every live system. Open →](https://www.agentlist.io/learn/which-agent)

[03Interactive · 3 tasks × 3 kinds ## Same task, different anatomy The fastest way to see what 'kind of agent' means: hold the task constant and watch the trace change. A broken test, a flight booking, a refund call — executed step by step as a CLI agent, a cloud agent, a computer-use agent, a voice agent. Open →](https://www.agentlist.io/learn/same-task)

[04Stepper · 7 steps ## Anatomy of an MCP call One tool call end to end: the model emits a structured request, it crosses the JSON-RPC boundary to a separate server, executes where the model can't reach, and the result re-enters context. The boundary is the point. Open →](https://www.agentlist.io/learn/mcp-call)

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Source: [Learn — interactive guides to the agent landscape | agentlist.io](https://www.agentlist.io/learn). This is the public page rendered as Markdown; interactive controls require the website.
