Never Open After Effects Again (Minimax Design Motion Graphics Workflow)
Shows filmmakers how agentic workspace applications automate the research, storyboarding, and motion design pipeline, replacing manual keyframing with natural language direction.
What this lesson covers
Jihad demonstrates how to produce dynamic motion graphics and brand promo videos using MiniMax Design's agentic workspace instead of traditional keyframe software. The workflow leverages automated web reference gathering, credit-saving storyboard pre-visualization, and MiniMax H3 for video rendering.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 01:13 ↗
MiniMax Design utilizes multi-agent orchestration where GPT-6 Astra plans animations and expands prompts, web-browsing agents locate design references, and MiniMax H3 handles motion synthesis.
- 02:01 ↗
Built-in specialized skill presets like 'brand promo video generator' automate complex motion prompt structures for users working from natural language inputs.
- 05:55 ↗
Generating an image-based storyboard frame by frame prior to video synthesis prevents wasted generation credits by verifying typography and composition early.
- 07:52 ↗
Directing the model with portfolio-style meta-prompts can push the AI generation engine to output more dynamic camera angles and faster motion sequences.
Workflow outlined in the video
- Set up a local workspace in MiniMax Design and connect relevant logo files and visual brand assets.
- Enter natural language timing and composition requirements, selecting pre-built custom skill templates to construct the initial animation plan.
- Direct the agent to browse the web for specific visual references covering color palettes, typography, and motion pacing.
- Generate a static, multi-frame storyboard with an image model to confirm framing and text readability before committing credits to video.
- Feed the approved storyboard frames into the MiniMax H3 video generation node with iterative natural language pacing feedback.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
Explore the tools
How to interpret the numbers
43,806 views captured 22 October 2026. ReelStack recommendation score: 69/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 65% performance: 3.86× views vs 7 other channel videos observed at a similar age. View-evidence factor 98% (views / (views + 1,000))
- 25% freshness: 72/100 with a 14-day half-life
- Momentum pending: collecting daily snapshots; its 20% weight goes to observed performance, not free points
- 10% engagement: 5/100; likes + 4× comments, smoothed with a 500-view neutral prior