> For the complete documentation index, see [llms.txt](https://support.keyst.one/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://support.keyst.one/keystone-table/why-does-the-keystone-tablet-have-only-4-slots-for-a-word.md).
# Why does the Keystone Tablet have only 4 slots for a word?
The Keystone Tablet comes with a set of 252 letters. The recovery seed is assembled manually and it is extremely easy to do so. You can use both sides of the Keystone Tablet, and store 12, 18, or 24 words.
That is up to 96 letters of sensitive information in a couple of minutes, ensuring the privacy and security of your data.
**Why does it have only 4 slots for a word?**
The Keystone Tablet is based on the [BIP39](https://github.com/bitcoin/bips/blob/master/bip-0039.mediawiki) that is used to generate the mnemonic keys. It is a specific list of [2048 English words](https://github.com/bitcoin/bips/blob/master/bip-0039/english.txt) that has been carefully curated so that the entire word can be identified with just the first four letters. That is, four letters can be used to represent a unique mnemonic. That’s why the Keystone Tablet has only four-letter slots.
If you encounter a 3-letter mnemonic, you can fill the empty space with the blank side (reverse) of the letter tile.
The following picture is an example for your reference:
---
# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## 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://support.keyst.one/keystone-table/why-does-the-keystone-tablet-have-only-4-slots-for-a-word.md?ask=
```
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.