JevMade hello@JevMade.com
← Back to guides

JevMade field notes / Measurement notebook

Grouping multiple questions for an AI tool to read one document

This guide tests asking an AI tool several questions about a long document at the same time. It shows how grouping questions lowered costs and sped up answers in a specific privacy law test.

Original by TypeSafe AIEvaluation

Listen to this guide

JevMade’s plain-English explanation

0:00 /

AI narration

Credits

“Parallel questions” by TypeSafe AI. Read the original source.

This expanded guide is an AI-narrated adaptation prepared by JevMade. It expands the source’s essential ideas, examples and caveats in JevMade’s own words and is not a word-for-word reading. The synthetic voice does not imitate the author or imply their endorsement.

Our summary

People often need to check long documents for specific rules or facts. This guide tests a way to ask an AI tool thirteen different questions about a privacy law at the same time, rather than asking each question one by one.

The author uses Jev, an AI tool that chooses from options rather than writing an answer. Grouping the questions means the software only reads the long text once instead of thirteen times. In these tests, the grouped questions returned the same answers.

This method is useful for anyone checking large files for multiple independent details. The exact savings depend heavily on the length of the text and the number of questions. The results shown here only apply to this specific test and will change with different tasks.

Key takeaways

  1. Group multiple questions together so the software only has to read a long document once.
  2. Use an AI tool to choose yes-or-no answers, pick categories, and give scores in one request.
  3. Expect your actual savings to vary based on the specific document and questions you use.

The author reports that grouping questions cost 12.2 times less and finished 10 times faster. These exact numbers only apply to this specific cached test using the privacy law article.

TypeSafe cookbook · Source reviewed

Read the original guide Opens the author’s site in a new tab.