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JevMade field notes / Agent walkthrough

Helping an AI assistant choose the right saved instructions

This guide tests a way to help an AI assistant pick the correct saved instructions. It reviews a large list of options and narrows them down before the software makes a final choice.

Original by TypeSafe AIAgent workflows

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Credits

“Skill suggestion” 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

AI assistants use saved instructions to complete specific tasks, like editing a presentation. When software has hundreds of instructions to choose from, it often guesses incorrectly or picks one when it does not need to. This guide tests a way to prevent those mistakes.

The method uses Jev, an AI tool that chooses from options rather than writing an answer. It first ranks all available instructions based on the user's request. Then, it reads the full details of the top three choices and suggests at most one match.

This setup is useful for people managing large collections of instructions. In the author's tests, incorrect choices fell from 16.8 percent to 7.3 percent. However, the assistant must still read the suggested text, and it might occasionally ignore a correct suggestion.

Key takeaways

  1. Give the AI tool the actual list of instructions and the current task to find a match.
  2. Review the top choices in detail instead of giving the assistant the entire list at once.
  3. Track how often the assistant loads instructions it does not need, not just its successful matches.

Suggesting a set of instructions does not automatically carry them out. The AI assistant must still read the text and decide to follow it.

TypeSafe cookbook · Source reviewed

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