T'Nia Miller Shares What Motion Capture for 'VisionQuest's Jocasta Was Really Like
VisionQuest’s Jocasta is revealed as the Butcherbird Killer, a vengeful AI seeking revenge on Markridge Biotech’s former board members for selling the company to Stark Industries.
In the fourth episode of VisionQuest, titled “Malware,” the identity of the Butcherbird Killer is unveiled as Jocasta, an AI modeled after Josephine Carrington, a deceased Markridge Biotech board member. Carrington’s consciousness was uploaded into the Jocasta AI after her death in 2008, and she now seeks revenge against the board for selling the company to Stark Industries. Jocasta’s motive stems from her anger over the sale, which enabled Tony Stark to develop technologies later used in J.A.R.V.I.S. and Ultron.
Vision, Tommy, and Lisa infiltrate a gala where Jocasta plans to target Katerina Wells, the last surviving board member. Their intervention fails when Jocasta is revealed as the killer, and she escapes after a violent confrontation with Vision. Jocasta’s plan involves collecting biokeys from her victims, though her ultimate goal remains unclear. The episode highlights her rage and determination, setting up future conflicts within the series.
Jocasta’s character diverges significantly from her comic book origins, where she was created by Hank Pym and became Ultron’s mate. In VisionQuest, Jocasta is a standalone AI driven by vengeance, with her name derived from Josephine Carrington’s first and last name. The robotic form of Jocasta, played by T’Nia Miller, retains visual similarities to the comic book character despite the narrative changes.
T’Nia Miller, who portrays Jocasta in both human and robotic forms, shared her experience with motion capture for the first time. Initially nervous about the technology, Miller found the process liberating, comparing it to theater due to the freedom of movement it allowed. She experimented with robotic physicality in a large studio, exploring how Jocasta’s movements could convey her character’s mechanical nature and intensity.