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How to build control software to guide an AI assistant

This guide explains how to build control software for an AI assistant. It shows how to use an AI tool called Jev to safely pick from a strict menu of actions instead of guessing.

Original by Made with JevAgent workflows

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Credits

“Jev agentic harness” by Made with Jev. 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

This guide explores how to build control software for an AI assistant. Without this software, an assistant is just a blank text box. This setup uses Jev, an AI tool that chooses from options rather than writing answers, to safely decide which tools the assistant should use next.

The control software creates a specific menu of allowed actions and asks Jev to pick one. If Jev makes a choice, the software checks that the action is still valid before running it. It records exactly what options were offered, what Jev chose, and what happened next.

This approach helps developers who want strict rules for their software. However, these designs are mostly ideas rather than proven tests. The software cannot automatically improve itself. A person must still check the recorded choices to see if changing the instructions actually makes the assistant work better.

Key takeaways

  1. Give the AI a strict menu of choices instead of letting it write its own instructions.
  2. Always have your software check the AI's choice against your rules before taking any action.
  3. Record what options were offered and chosen so a human can review the steps later.

This guide collects design ideas rather than independent tests of a finished setup. The mentioned speeds and costs come entirely from the original authors.

Made with Jev guide · Source reviewed

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