CHOOSEAgents & automation
Jev Movie Night Picker

Jev is an independent index that uses computer vision to browse and navigate Netflix, assessing user preferences across genres and plot descriptions to recommend movies that satisfy a group's diverse tastes while adhering to specified rating cutoffs.
TakeJev counted the action and romantic storyline toward our two-of-three rule.
After a long hike, I was getting ready for a movie night with friends. We were too tired to keep debating what to watch, so I decided to try @typesafeai's Jev with computer use to browse and navigate @netflix. Apparently I still had enough energy for an experiment.
Our tastes were spread across action/thrillers, sci-fi set in space, and romance. I gave Jev descriptions from a small Netflix shortlist and asked it to assess each person's preferences. We allowed a two-out-of-three compromise, with the unmatched preference kept explicit.
It picked I.S.S. for the action and space fans. Then I checked the ratings: 5.3 on IMDb and 43% from Rotten Tomatoes audiences. I'd spent all that effort matching genres and left audience ratings out of the criteria.
For the rerun, I added minimums of 6.5 on IMDb and 60% from RT audiences, keeping critics' scores separate. I expanded the shortlist and supplied fuller plot descriptions. Jev assessed the genre and plot evidence; the application checked the rating cutoffs and counted how many people matched.
The latest run picked The Adam Project (2022): IMDb 6.7, Tomatometer 68% (critics), and Popcornmeter 73% (audience). Jev counted the action and romantic storyline toward our two-of-three rule. It is a time-travel adventure with a secondary love story, so the space fan would be compromising.
There's more to evaluate. We just worked through a small shortlist. I'd like streaming services to offer a "movie night picker." A profile captures one person's habits. When three to five people share a screen, the recommendation should account for who's watching together and what each person is willing to compromise on.
