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JevMade field notes / Architecture guide

How to keep your software in control of AI choices

This guide explains how to design software that handles exact rules and actions itself. It shows how to ask an AI tool to make small, specific choices when the software needs help understanding messy information.

Original by TypeSafe AIAgent workflows

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Credits

“How to build with TypeSafe” 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

This guide explains how to build software using Jev, an AI tool that chooses from options rather than writing an answer. People use this method to sort incoming messages or check records without letting the AI assistant control the entire process.

The main software handles exact math, security checks, and final actions. When it needs to understand text, it asks the AI tool small, specific questions. The answers include numbers showing the tool's estimated certainty. The software uses its own rules to decide whether to act or seek another answer.

This approach is useful for developers who want to add AI features while keeping control over their software. The guide comes from the company that makes the tool. Readers must test whether its choices are accurate for their tasks; a high certainty estimate is not proof.

Key takeaways

  1. Ask the AI tool narrow questions with clear answer choices the software can use.
  2. Keep exact math and security checks in the main software, not the AI tool.
  3. Choose what happens to uncertain answers: pause, ask another tool, or request a person's review.

This guide is design advice from the company that built the AI tool, not an independent test. You still need to prove that the tool makes correct choices for your own information.

Official documentation · Source reviewed

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