How to make motion graphics and edited videos with Claude (6 steps)

The Evolution of AI Video Editing

0:00 to 1:02 in the video, about 1 minute

Modern artificial intelligence tools have expanded beyond basic text generation into complex video production. By orchestrating motion graphics, typography placement, background layers, and timing, models like Claude can now assemble complete video sequences that previously required hours in traditional editing suites.

Rather than relying on random generation, achieving production-ready results requires a structured workflow that establishes visual style, validates animation behavior, and organizes assets into an explicit timeline.

Step 1: Setting Up the Prerequisites

1:03 to 2:07 in the video, about 1 minute

Before beginning an edit, you must assemble both the appropriate software environment and your raw media assets. Operating within Claude Code rather than standard chat interfaces offers superior handling of complex multi-step workflows, particularly on desktop installations with direct local file access.

Your project directory should include all source media required for the video, such as raw talking-head footage, voiceover recordings, and the completed text script.

• A paid Claude account (Pro or higher) to accommodate the required processing limits.
• Access to Claude Code for running iterative creative scripts without writing manual code.
• A prepared project folder containing scripts, spoken audio, and video recordings.

Step 2: Style Training with Visual References

2:08 to 3:22 in the video, about 1 minute

Prompting Claude to edit raw footage without prior context often leads to generic or mismatched visual elements. To prevent this, train the model on your intended aesthetic by supplying a curated collection of reference imagery.

By feeding Claude 15 to 20 images representing an aesthetic—such as pastel neobrutalism, 8-bit retro art, or clean corporate vector styles—the model analyzes the color schemes, depth, shapes, and typography. Claude summarizes its understanding of the art style back to the user to confirm alignment before generating any assets.

Steps 3 and 4: Style Testing and Animation Validation

3:23 to 4:41 in the video, about 1 minute

Before generating an entire timeline, validate the design system through small, targeted tests. Start by asking Claude to produce three static design frames based on concepts from your script to ensure the visual elements match the agreed-upon aesthetic.

Once static frames meet expectations, run a single animation test on one element. This staging process prevents wasted compute tokens and catches motion or layout issues before assembling the full edit.

• Style Testing: Claude generates static stills to confirm typography, color balance, and layout.
• Animation Testing: A single visual cue is animated according to the script to verify movement physics and pacing.
• Token Conservation: Stepwise checkpoints prevent running token-heavy video assemblies on unvetted styles.

Step 5: Storyboarding the Timeline

4:42 to 5:48 in the video, about 1 minute

A robust edit depends on a detailed storyboard. You can either instruct Claude to generate an initial beat-by-beat storyboard from your script, or supply your own timeline draft for the AI to critique and refine.

The storyboard explicitly defines visual actions per timestamp, including camera transitions, foreground cards, graphic overlays, and text animations behind or in front of the speaker. Refining the storyboard through repeated review ensures that both the creator and the model share identical expectations for every cut.

Step 6: Executing the Final Edit and Iterating

5:49 to 7:21 in the video, about 2 minutes

With approved style rules, test animations, and a finalized storyboard, Claude compiles the complete video. For best results, select high-tier reasoning models like Opus 5.5 set to medium or high effort. Renders generally take between 20 to 90 minutes depending on animation complexity.

Creators should avoid submitting full-length raw timelines all at once; breaking edits into chunks of one to two minutes produces tighter outputs. Receiving the first render is rarely the final step—high-quality production relies on a continuous feedback loop where specific keyframe adjustments, typography tweaks, and timing corrections are applied over several iterations.

Integrating with After Effects and Premiere Pro

7:22 to 7:39 in the video, under a minute

For teams requiring traditional post-production control, AI-generated sequences can be transferred into standard editing software. Specialized extensions like AE Builder turn Claude video exports into layered, editable After Effects compositions with adjustable keyframes and rigs.

Additionally, configuring a Model Context Protocol (MCP) server allows Claude Code to interface directly with Adobe Premiere Pro. Users can command Claude to create projects, drop assets onto sequences, generate captions, and balance audio mixes through conversational prompts.

Final Thoughts

The rapid progression of AI-assisted editing drastically reduces the technical and financial hurdles historically required to produce polished motion graphics. With rendering and asset generation becoming accessible via natural language, the primary constraint shifts from manual technical labor to artistic direction.

As software handles the heavy lifting of execution, a creator's unique taste, editorial judgment, and willingness to iteratively refine the output will define the quality of modern video content.