Descript's Lyrebird API vs Building a Video Editing Skill for OpenClaw — A Developer's Comparison

Descript shipped their Lyrebird enterprise API in January 2026. Upload raw footage, get back an edited project file or rendered video. They've also made Claude Sonnet 4.5 the default model inside Underlord, their AI editing layer. I've spent the past few months building nemo-video, an OpenClaw Skill that does roughly the same thing: give it footage, describe what you want, get back a finished file. Same surface area. Very different architecture underneath. Here's an honest comparison from someone who's shipped both approaches. What Descript's Lyrebird API Actually Does The Lyrebird API is what Descript calls "lightweight, focused on workflow handoffs." That's accurate. The core model is: You upload raw footage via a signed URL You send an edit job with parameters You poll (or receive a webhook) when the render is done You download the output file It's a well-designed batch processing API. Each call is stateless — the API doesn't remember what you did in the previous call. If you want t