Tech • AI • Robotics • Game
Opus 5.5 Is The Best AI Video Editor I've Ever Tried
5/10TL;DR
Opus 5.5, used through Claude Code with the Buri editor, is being adopted as a largely automated workflow for talking-head video production, handling rough cuts, silence removal, bad takes, layout changes, zooms, highlights and some custom motion graphics.
KEY POINTS
AI-driven editing stack
The workflow combines Claude desktop, primarily Claude Code, with Opus 5.5 set to a high thinking level and the Buri video editor. The setup is used for frequent weekly editing, with a $100-per-month plan reported to cover that workload without running into limits.
Why Claude Code is used
The main reason for choosing Claude Code over a more standard chat interface is control. It is treated as a way to give the model deeper access to the editing environment so it can make direct changes rather than only suggest them.
Buri’s structure for recording and editing
Buri is designed around three stages: script, record and edit. Creators can split a project into scenes, record each segment separately, and re-do only the section that went wrong rather than starting an entire presentation from scratch.
Scene-by-scene production
In the recording interface, users can capture camera, microphone, screen and system audio, either for the full display or a single app. That makes the tool particularly suited to tutorial and screen-demonstration formats, where presenters often need to mix face camera footage with live software walkthroughs.
What the editor already automates
Before adding a broader AI workflow, Buri already generated transcripts and flagged long pauses on the timeline. Those features allowed manual cleanup of silence and false starts by selecting transcript sections or pause markers and deleting them directly from the edit.
Visual editing tools built into the app
The software also supports layout changes and emphasis effects such as zooms and highlights. A presenter can switch between screen-only, face-only, picture-in-picture and alternate shapes, then add cursor-based zoom-ins or dimmed-background highlights to direct attention to a specific interface element.
How Opus 5.5 is prompted
The editing process works best when the human sets the creative direction and the model executes it. Instead of issuing a vague request to edit a video, the workflow starts with repeated baseline instructions such as removing silences, cutting bad takes, cleaning visible interface clutter and adding zooms where on-screen actions need emphasis.
Reusable editing skills
Those common instructions are saved as a repeatable skill, effectively turning the first pass into a standardized cleanup routine. After that initial pass, more specific feedback can be added for particular scene layouts, additional highlights or revisions to the pacing and framing.
Motion graphics and inserted assets
A major advance in this workflow is the ability to create and place motion graphics from a single prompt. The system can build title graphics timed to narration, generate visuals around numerical comparisons, and even capture missing supporting footage such as browsing product images from a website when no screen recording was prepared in advance.
Results and remaining manual work
The resulting edit is described as completing roughly 80% of the process automatically. In practice, that means timelines are cleaned up, bad takes are removed, layouts are varied, and many zooms, highlights and graphics are inserted, while a final human polish is still needed to correct small mistakes and refine stylistic choices.
CONCLUSION
The workflow shows how AI editing is moving from basic trimming to integrated post-production, with Opus 5.5 and Buri handling much of the repetitive work while leaving creative judgment to the editor. The main value lies in speed: a first cut that is substantially closer to publication before manual finishing begins.
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