> ## Documentation Index
> Fetch the complete documentation index at: https://sensible.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Prompt tips

To extract from documents, describe your target data using Sensible's prompt-authoring environment, *Sensible Instruct*. Sensible Instruct is a large language model (LLM)-based subset of *SenseML*, Sensible's JSON-based document extraction query language. By combining Sensible Instruct and SenseML, you can extract data from a range of document types, from highly structured business forms to unstructured research documents.

See the following topics for tips on configuring extractions in Sensible Instruct:

| Method                                                                    | Example use case                                                                     | Notes                                                                                         |
| ------------------------------------------------------------------------- | ------------------------------------------------------------------------------------ | --------------------------------------------------------------------------------------------- |
| [List](/llm-based-extractions/prompt-tips/list-tips) method               | For each vehicle in an auto insurance declaration, extract the VIN, model, and year. | Extracts a list of data out of a document, where you don't know how the data are represented. |
| [NLP Table](/llm-based-extractions/prompt-tips/table-tips) method         | For each transaction in a bank statement table, extract the date and amount.         | Extracts a list of data out of a document, where you know they're in a table.                 |
| [Query Group](/llm-based-extractions/prompt-tips/query-group-tips) method | "When does the policy period end?""What are the last 4 numbers of the account?"      | Extracts a single fact or data point.                                                         |

## Notes

For layout-based extraction methods, see [methods](/senseml-reference/methods/index-methods).