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How to make AI assistants faster and cheaper by sorting tasks

You will learn how an AI tool that chooses from options can sort incoming messages, check safety, and pick the right software for a task without wasting time or money on a complex AI assistant.

Original by David FantAgent workflows

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Credits

“How Jev makes agents faster and cheaper” by David Fant. 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

The author explains how to use Jev, an AI tool that chooses from options rather than writing an answer. People use this to make software assistants faster and cheaper. It handles routine choices like picking the right AI model or checking if an action is safe.

Instead of asking a complex AI assistant to read every new message or email, this simpler tool looks at the task first. It decides whether to handle the job directly, put it in a waiting line, or wake up the main program for harder problems.

This guide is useful for people building automated software who want to lower their costs. However, the author only claims that this method saves money and speeds things up. The article does not actually test these claims or prove the exact savings with real measurements.

Key takeaways

  1. Pick the right AI model for each specific task without needing to train a custom sorting tool.
  2. Use a quick safety check before taking action instead of asking a slow AI to review everything.
  3. Decide if incoming messages should be handled immediately, wait in line, or wake the main assistant.

The author claims this method makes software ten times faster and much cheaper. However, the article only links to examples and does not actually test or prove these numbers.

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