Blog
Insights on autonomous video editing and the future of AI-driven production.
What a video editing agent actually is, and what it isn't
The term video editing agent gets used loosely. Here is a five-test framework for what genuinely qualifies as one, and what is just an assistant in disguise.
AI video localization: dubbing, subtitles, and lip-sync that doesn't look broken
Localization is the highest-leverage thing most video teams aren't doing. Three layers, what's working in 2026, and the single biggest quality lever: a clean voice file.
Reframing video with AI: vertical, square, widescreen without recropping
One shoot, every aspect ratio. What good AI reframing actually does, where it fails, and why an agent with the right skills hits 100% autonomy on the mechanical work.
How to add AI sound effects to any video
Sound effects do more for perceived video quality than music or color. AI generation makes them cheap. Agentic editing systems make placement, sync, and ducking automatic.
The Autonomy Ratio: A Better Way to Evaluate AI Video Tools
Shot-quality benchmarks tell you which model produces a prettier clip. They don't tell you whether the tool can finish a project. The autonomy ratio does, by counting both the creative decisions a user keeps and the execution clicks the system absorbs.
Video Models Are Infrastructure. Multi-Agent Systems Are the Product.
The AI video conversation is stuck on which model is best. The real product lives one layer up, in the multi-agent systems that orchestrate models and reasoning into finished work.
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