Train Vanio AI by Pasting Content

What it does

The Upload Documents training option now supports two ways to feed information to Vanio AI:

• Upload file — drop a PDF, DOCX, TXT, or Markdown file (the original behavior).
• Paste content — type or paste content directly, with full Markdown support.

Use paste mode when your house rules live in a Notion page, a Google Doc, an email, or your own head — no need to export a file first.

When to use paste mode

• You have a small amount of content (a single page of house rules, a section about parking, a FAQ).
• You want to test how Vanio AI breaks your text into articles before doing a full import.
• The content lives somewhere that does not export cleanly to PDF (Notion, a CRM, an internal wiki).
• You want to add or refresh a single topic (e.g. "new wifi password") without re-uploading an entire house manual.

How it works

1. Open any listing and click Train AI.
2. Click the Upload Documents card.
3. At the top of the modal, switch to the Paste content tab.
4. (Optional) Set a Source label — this becomes the audit trail for the articles Vanio AI creates. Defaults to Pasted notes.
5. Paste your content into the large text area. Markdown is supported — Vanio AI will preserve formatting and use your headings (##) as natural article boundaries.
6. Click Process. Vanio AI splits the text into discrete knowledge base articles by topic and saves them to your Knowledge Base.

Markdown is welcome

Vanio AI understands standard Markdown out of the box:

• ## Heading becomes an article boundary — each heading typically becomes its own KB article.
• **bold**, *italic*, - bullet lists, and 1. numbered lists are preserved in the final article.
• Links and code blocks pass through.

You do not need to use Markdown — plain text works too. Markdown just gives you more control over how the text gets split.

Limits

• Up to 30,000 characters per paste. The character counter under the text area shows your current count and warns you when you approach the limit.
• At least 50 characters — anything shorter is rejected as too short to extract useful articles from.

If you have more than 30,000 characters of content, paste it in chunks (one topic at a time) or upload it as a file instead.

What happens after you click Process

Vanio AI does the same thing it does for uploaded documents:

1. Reads the content end to end.
2. Splits it into discrete topics — one article per distinct subject (parking, wifi, pool hours, pet policy, and so on).
3. Picks a category for each article (Amenities, Check-in, House Rules, etc.).
4. Extracts every actionable detail — codes, passwords, times, addresses, phone numbers — and preserves your exact wording.
5. Saves them as active articles in your Knowledge Base for that listing.

You will see the new articles listed inline as soon as processing finishes, with a count and the title of each one.

Tips

• Use one heading per topic so Vanio AI splits cleanly. A wall of text without structure still works, but you get more predictable results with headings.
• Keep specific details — codes, times, prices — verbatim. Vanio AI preserves them exactly so it can quote them back to guests when asked.
• If something looks wrong after processing, edit the article directly in your Knowledge Base — the same edit experience as any other KB article.

Related

• AI Training — How Your AI Learns Everything
• Knowledge Base — Vanio AI Brain