Jev-Powered DM Inbox Classifier

Foo Ming Li and collaborators built an inbox classifier using Jev to help a content creator manage more than 4,000 daily DMs. It follows her playbook to reduce repeated answers and surface messages that need her judgment.

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Foo Ming Li@fooming86𝕏

For the Tano hackathon @corgicafeco @0xkaushik_k and I built an inbox classifier using Jev. A content creator who get 4K + DMs a day. We didn't want ot build another DM bot, but a better way to help manager her DMs so that she doesn't answer the same question 400 times, and only surfaces the ones that need her judgment. All of this, according to her playbook and workflow, so her audience continues to trust her judgment. We were finalist out of 50+ people who turned up on the day. https://t.co/tjHMvQNiHU Thank you @sashacayward @sa64r and the entire Tano team for a great event.

Sep 21, 2026X postsView on X

The project was built for the Tano hackathon. The team was a finalist among more than 50 people who attended.

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