Our summary
This guide explains how to build software that checks incoming customer reviews before they appear on a store website. A business uses this to automatically catch spam, sort complaints, and hide personal information without making a person read every single message.
The software uses Jev, an AI tool that chooses from specific options rather than writing an answer. The program asks Jev to rate the review's mood and flag any rule violations. The store's own code then uses those choices to either publish the review or hold it.
This setup is useful for developers managing online stores. The guide uses example rules and scores to show how the sorting works. However, a real store must test the software with actual past reviews to find the right cutoff points before letting it publish anything automatically.
Key takeaways
- Check that incoming reviews have the correct format before sending them to the AI tool.
- Test your holding rules and exact score cutoffs by feeding the software specific, unchanging test answers.
- Use your store database to check if someone actually bought the product, rather than asking the AI.