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At NAB 2026, we caught up with Shamir Allibhai, CEO and Co-Founder of Eddie AI, for a walkthrough of the v3 release and its headline feature, Night Shift, an overnight workflow that ingests raw footage and hands editors a rough cut by morning. The conversation also turned to the broader question of what AI actually takes from, and gives back to, working editors.
Eddie AI is making its first NAB appearance as an exhibitor this year, following a steady cadence of releases we have covered at CineD: the v2.0 launch in early 2025, the DaVinci Resolve extension, Dirty Multicam support, contextual B-roll placement, and most recently the v3 release with Night Shift. The team is set up at booth N1672 in the North Hall with live demonstrations and two speaking sessions scheduled during the show.
The elevator pitch has stayed consistent since Eddie AI launched in October 2024: an assistant video editor for professionals that turns raw footage into a rough cut, fast. Night Shift reframes that promise around time rather than speed. The idea, as Shamir put it to us, is that after a long shoot day, you hand Eddie the footage and go to bed. By the following morning, the project is waiting in your NLE.
In practice, there are two entry points. The first is the Eddie desktop app on Mac or PC: drop a media folder in, confirm the edit style you want, and leave it to work. The second is a remote workflow, where users text a link to footage stored on Frame.io, Google Drive, or Dropbox. Eddie then processes the material without requiring a local download, with results delivered by the next morning. From either route, the system sorts A-roll from B-roll, syncs multicam interviews, logs the material, and assembles the first pass before the editor sits down.
Shamir walked us through the standard flow during the interview. Once the media is in, Eddie can be prompted in plain language, for example, asking it to cut a short edit about a particular story. The system works through the footage, analyzes it in the context of the prompt, and surfaces selects based on sound bites across interviewees, weaving them into a story spine. B-roll is logged visually, with Eddie analyzing the actual images rather than relying on generative or synthetic content, and then placed on top of the A-roll cut as sequences.
Within seconds, a working edit appears in the interface. From there, editors can watch the result inline, read the transcript, and iterate conversationally: asking for a punchier hook, swapping soundbites, or reshaping the opening. The system takes direction turn by turn, closer to a dialogue than a one-shot render.
One of the more practical points Shamir emphasized is how the output lands back in the NLE. Eddie AI supports multicam, honors start timecode, and works with raw codecs, so when an editor hits export, the sequence reconnects to the source clips in Adobe Premiere Pro, DaVinci Resolve, or Final Cut Pro. There is no transcoding step and no reliance on proxies, which matters for teams that want the AI assembly as a starting point without committing to a parallel proxy pipeline.
In the live demo, Shamir asked Eddie for a punchier hook, exported the sequence in landscape 16:9, and switched over to Premiere Pro. The timeline appeared in the bin within a few seconds, already cut and synced against the original source media. That round trip, in both directions, is a significant part of what the company is pitching at NAB: editors can start in their NLE, hand off prep and assembly to Eddie, and pick up again without reconforming anything.
It would be hard to discuss any AI editing tool in 2026 without addressing the elephant in the room. When we raised the pushback from parts of the traditional production community, and the anxiety many editors are feeling about their jobs, Shamir’s response was straightforward: in his view, video editing is not a single job. It spans a wide range of tasks, from the creative and authorial to the tedious and repetitive, and he sees Eddie’s role as taking on the mundane so the editor can focus on the craft.
That is a familiar argument, and one we have heard from other AI companies across the show floor. Whether the line between “mundane” and “creative” can really be drawn that cleanly in a documentary or unscripted workflow is a genuinely open question, and our previous coverage has flagged the fact that decisions around story structure, soundbite selection, and B-roll placement are not purely secretarial. Eddie AI has been openly transparent about that tension, positioning the tool as a way to get a project most of the way to a workable timeline, with final editorial judgment still sitting with the editor. Night Shift pushes that balance further, but the framing remains the same.
Shamir described the customer base as spanning freelancers, agencies, independent filmmakers, and larger enterprises, with typical workloads including documentary-style corporate and branded stories, multicam podcasts, short-form social, and scripted content shot to a teleprompter. In the scripted case, Eddie collates multiple takes, picks the best one, and cuts the footage to a script or outline. That spread lines up with what the platform has been adding over the last year, from the Scripted Mode upgrade last November to the brand-aligned rough cut and longform features introduced in September 2025.
On the roadmap, Shamir did not point to specific features he wanted to highlight for NAB, saying the company’s development priorities are largely shaped by requests from existing customers. That is consistent with the steady, feature-by-feature rollout we have tracked since v2.
Eddie AI v3 is available now. The company keeps a free tier with a number of included credits, plus a pay-as-you-go credit option for users who only occasionally need a rough cut. For teams with more regular work, subscriptions start at the Pro plan at $200 per month, with Pro+ and Ultra tiers adding larger project support, additional seats, and enterprise-grade options. Full pricing details are on the Eddie AI website.
The team is at booth N1672 in the North Hall for the duration of NAB 2026, with live demonstrations running through April 22. Shamir is also speaking at the Tech Chat Theater today and joining a post-production AI panel on April 21.
Would you trust an AI-assembled rough cut, delivered overnight, as the starting point for your next documentary or corporate edit? Don’t hesitate to let us know in the comments below!
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Nino Leitner, AAC is Co-CEO of CineD and MZed. He co-owns CineD (alongside Johnnie Behiri), through his company Nino Film GmbH. Nino is a cinematographer and producer, well-traveled around the world for his productions and filmmaking workshops. He specializes in shooting documentaries and commercials, and at times a narrative piece. Nino is a studied Master of Arts. He lives with his wife and two sons in Vienna, Austria.