Hackathon team builds a 4,000-DM inbox classifier with Jev
A three-person team built a DM triage tool with Jev for a creator receiving over 4,000 DMs a day, surfacing only the messages that need her judgment, and reached the finals.
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://www.loom.com/share/2ac289a9748d4fb6aeddaf56527aca46 Thank you @sashacayward @sa64r and the entire Tano team for a great event.