Just come across amazing paper about turning complex technical text into publication-ready figures. Try to simulate this on n8n since there is no public release to use this logic. Here how it works:
1. ๐ผ๐๐๐๐ ๐ฎ๐๐๐๐๐ (๐ป๐๐ ๐ฝ๐๐๐๐๐๐๐๐๐)
The Strategy: Feed it your "Source Context" (paper abstract) and act as the Stylist Agent.
The Prompt: "I am providing a methodology snippet. Act as a PaperBanana Stylist Agent. Extract the core steps and generate a high-quality 2D vector methodology diagram. Use a 'Tech Pastel' color palette, professional icons, and clean typography. Ensure the layout flows logically from left to right."
2. ๐ผ๐๐๐๐ ๐ช๐๐๐๐
๐ (๐ป๐๐ ๐ท๐๐๐๐๐๐ & ๐ช๐๐๐๐๐)
The Strategy: Use Claude to create the Plan or write Mermaid.js/TikZ code.
The Prompt: "Analyze this methodology. Act as the Planner Agent and create a structured list of every node and connection needed for a diagram. Then, act as the Critic Agent: tell me where an AI might likely 'hallucinate' or oversimplify this process."
3. ๐ป๐๐ "๐ฐ๐๐๐๐๐๐๐๐ ๐ณ๐๐๐"
To be "PaperBanana-compliant," do this:
Take the image LLM gives you.
Upload it back to the chat and say: "Compare this image to my original text. Did you miss any data flows? If so, please regenerate with the missing parts added."
If you find more effective workflow, let me know in the comment below ๐