# Who is Appear for?

Appear is built for **engineering teams at AI-focused enterprises** who need their APIs to work seamlessly with intelligent systems—without the years-long retrofit projects most companies face.

**The Core Problem** Every company is racing to deploy AI, but legacy APIs aren't ready. Traditional APIs are hand-maintained, poorly documented, and incompatible with AI agents that expect self-describing, discoverable systems. This creates a massive bottleneck for AI transformation.

**Who Benefits from Appear?**

**Engineering Teams Building AI Features** You need APIs that AI agents can discover and interact with automatically.

* **Automatic MCP Generation** – Turn existing APIs into AI-agent-ready interfaces
* **Real-time Schema Intelligence** – APIs that evolve and stay current automatically
* **Offline-First Development** – Build AI features whether online or offline

**Platform & Infrastructure Teams** You're responsible for making company APIs AI-ready at scale.

* **Schema Automation** – Capture and evolve schemas from live traffic automatically
* **Zero-Friction Integration** – Transform legacy APIs without rewrites
* **Intelligent Conflict Resolution** – Prevent API breakage across distributed teams

**Technical Leaders & Architects** You need to enable AI transformation without disrupting existing systems.

* **API Intelligence Layer** – Comprehensive view of your entire API ecosystem
* **Automated Compliance** – Ensure APIs meet AI-agent expectations
* **Strategic Insights** – Understand which APIs are AI-ready and which need attention

**If you're building AI-powered products** and your APIs are blocking progress, Appear transforms your existing infrastructure into the intelligent, self-describing systems that AI agents expect—while your team sleeps.

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If you have any queries or require support with the above instructions, please [get in touch](/getting-started/get-in-touch.md) with us.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.appear.sh/getting-started/who-is-appear-for.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.