Multimedia artist and documentary filmmaker Roselyle Zhao (赵北一), known online as 活人阿北 / Abei, has released Better Match, a serialized queer dating reality show and mockumentary created using generative AI.
About the series
Better Match follows two existing couples as they take part in a relationship experiment built around one question: “What if you found the wrong one first?” The series borrows the familiar language of reality television, including dates, cohabitation, confessionals, reunions, relationship conflict and final decisions. All of the footage is created with generative AI under Zhao’s creative direction.
The series is set in the fictional city of New Town and follows four central characters, Alan, Bailey, Michelle and Nikki, as their original relationships are tested through new connections and temporary living arrangements. At the center of the experiment is a question common to both relationship research and reality television: can a new connection fulfill the needs an existing relationship could not?
Why generative AI?
Zhao works across documentary filmmaking, moving image, digital media and generative art. Her documentary practice is interested in people, identity, relationships, and the ways culture shapes how individuals understand themselves and one another. That background helped motivate the project.
Reality television often relies on real participants sharing intimate details of their relationships, insecurities and conflicts with a mass audience. Once those moments are released, participants can face intense public judgment, harassment or online attacks based on heavily edited fragments of their lives.
Zhao wanted to explore whether some of the narrative and social questions traditionally examined through reality TV could be investigated through fictional, generated participants instead. Generative AI let Better Match stage emotionally vulnerable situations without asking real cast members to expose themselves publicly or absorb the consequences of audience scrutiny.
How it was made
The series isn’t meant to reproduce documentary reality. It uses the visual and editorial conventions of unscripted television to explore how audiences interpret chemistry, compatibility, conflict, authenticity and emotional intimacy.
Rather than treating generative AI as a visual-effects tool, Zhao uses it to build an entire reality-show environment. She directs the characters’ performances, continuity, visual coverage, chemistry, reaction shots, locations, editing rhythm and narrative progression. A conventional unscripted production would normally discover and shape these elements from footage of real participants.
For Zhao, the project extends questions already present in her work: how people construct identity, how social and cultural expectations shape relationships, and how a filmmaker’s choices influence the way an audience sees another person. Because the participants are generated, that construction becomes unusually visible, and every apparent candid moment, reaction, disagreement and connection comes from a filmmaking decision.
Where to watch
Better Match is being released as a serialized work across online platforms, alongside behind-the-scenes material about its creative and generative production process.
About Roselyle Zhao
Roselyle Zhao (赵北一), also known online as 活人阿北 / Abei, is a New York–based multimedia artist and documentary filmmaker working across nonfiction film, moving image, digital media and generative art. Her work explores identity, relationships, cultural difference, belonging, and the systems through which people understand one another. Alongside her documentary practice, she experiments with emerging forms of visual storytelling and the ways new technologies can change authorship, representation and audience perception.
Project details
- Title: Better Match
- Creator / Director: Roselyle Zhao / 赵北一
- Online name: 活人阿北 / Abei
- Location: New York City
- Format: Serialized queer dating reality show / mockumentary
- Production method: Generative AI under the creative direction of Roselyle Zhao
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