Creating consistent, on‑brand graphics with AI agents is a growing need for designers and marketers. This article distills a practical workflow that avoids the pitfalls of generic neural network outputs—often called “neural slop”—by leveraging a structured brand kit, reference catalogs, and a mix of generation and editing tools. It covers the entire pipeline, from data preparation to final video rendering, and explains how to choose between MCP, API calls, and Computer Use for optimal performance.
Context and practical value
The video outlines a complete pipeline for generating brand‑consistent graphics with Claude Code/Codex, covering brand kit ingestion, reference catalogs, MCP vs Computer Use, hard prompt rules, stock asset selection, and editing with Claude Design and HyperFrames.
This article expands on the video by structuring the workflow into actionable steps, explaining tool choices, and providing a practical checklist for designers and developers to replicate the process.
Tutorial profile
- Format: workflow
- Topic: ai-agent-design
- Audience: intermediate
- Tools: Claude Code, MCP, Computer Use, Claude Design, HyperFrames
Key takeaways
- 1. Use a structured brand kit as the agent’s prompt template to enforce style consistency.
- 2. Build a reference catalog from curated sources (Eyecannndy, Amicro, etc.) to guide the agent’s visual choices.
- 3. Combine MCP with Computer Use to balance speed and control over generation steps.
- 4. Apply hard prompt rules (no text, numbers, logos) to reduce unwanted artifacts.
- 5. Prefer stock assets (Pexels, Pixabay) when they match brand tone and save generation time.
- 6. Edit final outputs with Claude Design or HyperFrames for precise control over layout and motion.
1. Preparing the Brand Kit
A brand kit is a structured JSON or YAML file that lists colors, fonts, imagery style, and tone guidelines. The agent reads this kit before each generation, ensuring every output aligns with the brand’s visual identity.
2. Curating Reference Catalogs
Gather reference images from trusted repositories such as Eyecannndy, Amicro, React Bits, 21st.dev, Pryzm, ColorFlow, Ditther, and Paper Shaders. Store them in a searchable catalog so the agent can retrieve relevant examples during prompt construction.
3. Choosing the Generation Path
MCP (Multi‑Channel Prompting) allows the agent to send multiple prompts in a single request, reducing round‑trip latency. Computer Use, on the other hand, lets the agent run code locally to fetch assets or preprocess data before sending a final prompt. Use MCP for quick iterations and Computer Use when you need to manipulate data or assets before generation.
4. Hard Prompt Rules
Enforce rules that exclude text, numbers, and logos from the generated frames. This reduces the need for post‑generation cleanup and keeps the focus on brand imagery.
5. Stock vs. Generation
When the brand style matches a stock library, pulling images from Pexels, Pixabay, Openverse, or Klipy can be faster and cheaper than generating new content. Use stock assets as placeholders or final layers when they meet quality requirements.
6. Editing with Claude Design and HyperFrames
After generation, refine the output with Claude Design for pixel‑perfect layout adjustments or HyperFrames for motion‑graphics control. Both interfaces allow drag‑and‑drop editing without writing code, speeding up the final polish.
Practical next steps
- 1. Create a JSON brand kit with colors, fonts, and style guidelines.
- 2. Build a reference catalog in a local database or cloud storage.
- 3. Write an MCP prompt that references the brand kit and catalog.
- 4. Use Computer Use to fetch stock assets when needed.
- 5. Generate images with Claude Code and review them for compliance.
- 6. Edit the final video in HyperFrames, adjusting timing and transitions.
Limits and verification
- The workflow assumes access to Claude Code, MCP, and HyperFrames, which may not be available in all regions or budgets.
FAQ
What if I don’t have a brand kit?
Start by documenting your brand’s core visual elements—colors, fonts, and imagery style—and save them in a simple JSON file. The agent can read this file as a prompt template.
Can I replace HyperFrames with another tool?
Yes, any motion‑graphics editor that supports keyframe control can substitute HyperFrames, but you’ll need to adjust the workflow to match its API or UI.