# Jev against an LLM on your own feed

The author shares a project that compares Jev and an LLM at classifying the tweets in your feed, and invites people to run it on their own timeline from the repository.

Grade: C — A clean typed decision with low volume or low value, or too vague to act on.. Score: 1.2.

Vertical: Software & tech.

Function: Social & creator.

Status: Seen in the wild.

Volume: occasional.

Value: minor.

Risk: low.

Evidence: built and shown.

Flags: check-fit.

- [Source](https://madewithjev.com/builds/jev-vs-llm-tweet-classification)
- [Vertical](/verticals/saas_tech/)
- [Function](/functions/social_creator/)
- [Social media spam and abuse classification](/use-cases/social-media-spam-and-abuse-classification/)
- [Content moderation unsafe tagging](/use-cases/content-moderation-unsafe-tagging/)
- [Escalation priority for trust-and-safety reports](/use-cases/escalation-priority-for-trust-and-safety-reports/)
- [How LinkedIn's AI Stops Viral Spam Before Millions See It](/use-cases/how-linkedin-s-ai-stops-viral-spam-before-millions-see-it/)
- [Detecting unwanted content using machine-assisted content moderation](/use-cases/detecting-unwanted-content-using-machine-assisted-content-moderation/)
- [The 60-Second Math Behind Every Spam Filter](/use-cases/the-60-second-math-behind-every-spam-filter/)
