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JevMade field notes / Architecture proposal

Sorting routine invoices and tickets with a simple AI tool

The author shares an idea for speeding up business tasks. A simple AI learns from past records to handle routine invoices automatically. It leaves the harder choices for a more advanced AI assistant.

Original by Scott WilliamsAgent workflows

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Credits

“Custom Jev-style models for agent workflows” by Scott Williams. 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

Scott Williams suggests a new way to handle repetitive business tasks like processing invoices or customer support tickets. Instead of sending every single task to an expensive AI assistant, a company could use a simpler tool to manage the easy, everyday cases first.

This approach uses a Jev-style AI, which is a tool that chooses from set options rather than writing a new answer. It learns from a company's past records. If the tool is confident, it handles the task immediately. If unsure, it passes the work to the advanced AI.

This idea is useful for businesses that need to sort incoming messages or check information pulled from documents. However, this is currently just a proposed design, not a tested system. Any numbers mentioned about cost savings or how many cases it can handle are just examples.

Key takeaways

  1. A company can use its past records to teach a simple AI how to sort routine invoices.
  2. Confident decisions bypass the main AI assistant, while uncertain cases follow the normal review process.
  3. This same pattern might also help sort incoming messages or double-check information pulled from documents.

This is a proposed idea, not a tested system that is currently in use. The numbers mentioned for cost savings and success rates are just examples.

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