Zonic Blog

One Sequence, Many Useful Outputs: Rendering Without Losing the Edit

Zonic uses one editable sequence contract for preview, rendered video, and professional handoff—so AI work can continue in the tools editors already trust.

Skill Studio and Teach Zonic: Turning Expert Judgment into a Reusable Workflow

Zonic's Skill Studio gives editors reliable starting points—and Teach Zonic lets an expert review, save, and reuse the working methods developed in a real project.

A Dockable Video Workspace for Expert–AI Collaboration

Zonic's dockable workspace keeps footage, AI reasoning, skills, preview, and sequences visible together—so an editor can inspect evidence while directing the work.

Reference Video: Show Zonic the Creative Context You Mean

Reference video lets an editor demonstrate a target for structure, pacing, or visual language while keeping that material separate from the footage being cut.

The Operational AI Layer for Footage at Scale

We met at Meet Taipei, Meet Greater South, or HKUST Unicorn Day. Here's what we've built since.

AI-Generated Video Still Needs a Human Editor

AI tools can generate stunning footage, but editing thousands of clips into a coherent cut is still enormous manual work. Zonic sits between you and your footage, whether it was shot or generated.

The Learning Loop: How Zonic Gets Smarter

Zonic's long-term goal is a system that learns from professional editors without requiring explicit feedback. Here's the architecture.

Multi-Source Merge: Editing from Multiple Cameras

Zonic can now merge footage from multiple cameras and sources into a single coherent timeline. Here's how to use it.

How the Automated Rough Cut Works

A deep dive into Zonic's scene detection, transcription pipeline, and how it decides what to keep and what to cut.

Introducing Zonic: AI-Powered Video Editing

Today we're launching Zonic, the agentic layer between video creators and large-scale footage. Here's what it does and where it's going.