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Filter SQLite rows by meaning

jevsql adds Jev questions to SQLite, a small database often kept in one file. It lets people preview the work and likely cost before selected records are sent for judgment.

Original by EugeneBoondockRetrieval

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Credits and license

“jevsql” by EugeneBoondock. 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

Copyright (c) 2026 Eugene Boondock

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Our summary

SQLite is a small database often stored in one file. jevsql lets it ask questions about meaning after normal database rules have narrowed the records. Exact conditions such as dates and statuses remain visible, rather than being replaced by a chatbot's guess.

The guide shows yes-or-no checks, categories, and ratings. It recommends choosing only useful fields, limiting records, and saving repeated answers for reuse. A preview explains the planned database request, how many records need judgment, and the estimated cost without contacting Jev.

A missing early filter can send far more records than intended. Selected information leaves the computer, and answers remain estimates rather than facts. The tool refuses unsupported requests instead of guessing. Review the preview, privacy rules, and uncertain results before relying on the output.

Key takeaways

  1. Use normal database filters to reduce the rows before asking questions about meaning.
  2. Preview the number of rows and estimated cost before making paid calls.
  3. Choose in advance how strong an answer must be, and remember that a probability is not proof.

JevMade reviewed the repository documentation but did not run the extension or confirm its examples and performance claims.

GitHub README · Source reviewed

Read the original guide Opens the author’s site in a new tab.