JevMade field notes / Architecture and workflow guide

Build a search tool that checks multiple websites at once

This guide explains how to build a custom search application. It uses an AI tool to pick the best search terms, check several websites at the same time, and sort the most useful links.

Original by superagents-labRetrieval

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Credits and license

“jev-search” by superagents-lab. Read the original source.

This expanded guide is an AI-narrated adaptation of the source’s essential explanation, examples and caveats, not a word-for-word reading. The synthetic voice does not imitate the author or imply their endorsement.

License: MIT

MIT License

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Our summary

This guide shows how to set up a custom search application. Instead of checking websites one by one, this software searches places like Google, Reddit, and Wikipedia all at the same time. People use it to quickly find and organize links about a specific topic.

The software uses an AI tool called Jev, which chooses from options rather than writing an answer. Jev picks the best search terms and sends them to several websites at once. Finally, it scores the returned links and sorts them so the most helpful pages appear first.

This setup helps developers build reliable search tools, but it has limits. The relevance scores are just software guesses, so the links might contain outdated or incorrect information. Also, the built-in safety checks limit how many searches happen from one location, but they do not control total spending.

Key takeaways

Run searches on different websites at the same time so one broken site does not stop the others.
Set up backup AI providers to take over only if the main service runs out of funds or breaks.
Remember that location-based search limits are basic safety checks, not a replacement for strict spending rules.

More guides →See the experiments →