
Share
Nano Banana Pro revolutionizes space engineering by streamlining complex documentation and automating detailed diagrams, making it an indispensable tool for researchers and students alike in the fast-evolving field of space technology.
I’ve been following the development of AI tools in space engineering with keen interest, and the recent release of NotebookLM’s Nano Banana Pro has caught my attention. As someone who frequently writes about space station assembly and teaches final-year students at Queen Mary University of London (QMUL) on their Space Station Design Project, I’m always on the lookout for tools that can enhance both research and documentation.
Nano Banana Pro is a significant step forward in AI-assisted technical writing and diagram generation. Here’s why it matters:
My first encounter with Nano Banana Pro was through a tweet by Anders Sandberg, a researcher known for his work on Dyson spheres. Sandberg shared an impressive diagram generated by the tool, which he said could "go straight into my presentations."
OK, color me officially impressed: Nano Banana Pro can make good diagrams based on papers. This one can go straight into my presentations. pic.twitter.com/lXtGouNrXh
, Anders Sandberg (@anderssandberg) November 22, 2025
I was intrigued but not immediately convinced to try it out myself. However, a tweet from the NotebookLM team featuring a gif of my own article on von Braun wheels, published in Works in Progress (WiP), changed my mind.
Here are some specific ways Nano Banana Pro can benefit space engineering:
Nano Banana Pro is a valuable addition to the toolkit for anyone involved in space engineering. Its ability to generate high-quality diagrams and infographics based on complex scientific papers can significantly enhance both research and documentation processes. As I continue to explore its capabilities, I’m confident it will become an essential tool in my work.
Tags
Original Sources
About the author
Kai built ML infrastructure at a Bay Area startup before developing an obsession with transformer architectures and inference optimisation that eventually pulled him out of product work entirely. A stint at a compute research lab sharpened his instinct for what actually matters in a model release versus what is marketing. He writes from the inside — from the perspective of someone who has debugged the systems he is describing at three in the morning. He is allergic to hype and instinctively drawn to the unglamorous plumbing questions that everyone else skips over.
More from The Engineer →This Week's Edition
25 November 2025
88 articles
Related Articles

OpenEvidence Targets Hospitals to Expand Its AI Chatbot for Doctors
Products & Applications · 3 min

OpenEvidence Launches Voice AI to Enhance Physician Workflow
Products & Applications · 3 min

Doximity Accelerates AI Investment in 2026, Targeting Multibillion-Dollar Market
Products & Applications · 3 min
Related Articles

OpenEvidence Targets Hospitals to Expand Its AI Chatbot for Doctors
Products & Applications · 3 min

OpenEvidence Launches Voice AI to Enhance Physician Workflow
Products & Applications · 3 min

Doximity Accelerates AI Investment in 2026, Targeting Multibillion-Dollar Market
Products & Applications · 3 min
More Stories