Keyword page
An AI research figure agent should do more than draw an image. PaperVizAgent supports PaperBanana by reading source context, planning figure structure, applying academic layout rules, and preparing a draft that researchers can inspect, revise, and export.
PaperVizAgent is built around inspectable figure planning, not one-shot image generation.
The agent should connect the source material to the visual output. That includes extracting key entities, choosing diagram structure, organizing labels, respecting chart data, and producing a draft that can be reviewed by humans.
PaperVizAgent uses distinct passes for reading, planning, styling, rendering, and review. This structure keeps the figure draft closer to the research intent and makes the result easier to critique.
PaperBanana gives researchers a practical interface for using PaperVizAgent. The product focuses on source input, figure goal, generation settings, preview, and export-oriented review.
Agent task
Figure planning and academic visual drafting.
General chat or image generation.
Traceability
Source context informs panel and label choices.
Prompt wording may not preserve research structure.
Output review
Designed for human review before final use.
Often optimized for immediate visual appeal.
An AI research figure agent helps plan and draft academic visuals from research context, methods, or data.
Yes. PaperVizAgent is positioned as the figure planning and drafting agent inside PaperBanana.
Researchers should review figure meaning, data accuracy, labels, source alignment, permissions, and publication requirements.