> For the complete documentation index, see [llms.txt](https://docs.autocontentapi.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.autocontentapi.com/code-samples/slide-decks/nodejs/from-website.md).

# Create a Slide Deck from a Website

Build a case study deck directly from a URL, following the [website recipe](/quick-start/slide-decks/from-website.md).

```javascript
// Requires Node.js 18+ for the built-in fetch API.
const token = process.env.AUTOCONTENT_TOKEN ?? "YOUR_API_TOKEN";
const endpoint = "https://api.autocontentapi.com/content/Create";

const payload = {
  outputType: "slide_deck",
  resources: [
    {
      type: "website",
      content: "https://example.com/case-study"
    }
  ],
  text: "Create a client-ready case study deck with problem, solution, results, and a final CTA slide.",
  duration: "long",
  slideDeckFormat: "detailed"
};

async function run() {
  const response = await fetch(endpoint, {
    method: "POST",
    headers: {
      Authorization: `Bearer ${token}`,
      "Content-Type": "application/json"
    },
    body: JSON.stringify(payload)
  });

  if (!response.ok) {
    const errorText = await response.text();
    throw new Error(`Request failed: ${response.status} ${response.statusText}\n${errorText}`);
  }

  const result = await response.json();
  console.log("Slide deck request accepted:", result);
}

run().catch(error => {
  console.error(error);
  process.exit(1);
});
```

Remember to set `YOUR_API_TOKEN` (or `AUTOCONTENT_TOKEN`) before executing.


---

# Agent Instructions
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## 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.autocontentapi.com/code-samples/slide-decks/nodejs/from-website.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.