Descriptions:
Content creator Stephanie Nyarko walks through a fully AI-powered video editing workflow that removes the need for manual timeline editing in tools like CapCut. Using Claude Design and the Claude chat interface together, she demonstrates how to generate synchronized motion graphics from a video transcript and stitch them into a finished edited video — without writing any code or managing API keys.
The workflow starts in Claude Design, where Nyarko pastes an SRT caption file exported from CapCut and prompts the tool to generate branded motion graphics — titles, callouts, transitions, and full-frame cutaways — timed to match specific timestamps in the video. Style options (Modern, Classic, Organic) and layout choices (overlays vs. full-frame) are selected interactively, or can be locked into a reusable “skill” for full automation. Once the motion graphics are exported as MP4, a custom Claude skill called the Motion Graphics Stitcher combines the original footage, the generated graphics, and the transcript into a final edited file inside Claude’s chat interface.
Nyarko also references an earlier workflow she built using Google’s Nano Banana for graphics generation, giving viewers a comparison point as the landscape of AI-assisted video tools continues to evolve. The tutorial is aimed squarely at content creators and small business owners who find editing — not recording — to be the primary bottleneck in their publishing workflow.
📺 Source: Stephanie Nyarko · Published July 20, 2026
🏷️ Format: Tutorial Demo
