Over the past two weeks, we’ve been working on a new experiment at Figpad. Creating a scientific poster usually takes one or two days, but surprisingly little of that time is spent on science. Most of it goes into extracting figures, reorganizing content, and tweaking the layout. We wondered if AI could handle that part instead. Today, it can read a paper, extract the key figures, and generate a solid first draft of a conference poster in about five minutes. It’s not about replacing researchers—it’s about giving them back the hours they lose to formatting. Building toward that future has been a lot of fun. https://t.co/ghJOt4s5NZ
Iterated 500+ times on prompts and finally got an AI-generated academic poster that’s actually usable.
Before: ~2 days to design one poster
Now: AI drafts the first version, I refine it manually, done in ~1 hour
AI doesn’t replace academic design judgment.
It gives researchers a much faster starting point. #figpad.ai
I finally got Hermes to write an 80/100 literature review.
This morning, I was using Hermes during my commute to clear emails and schedule meetings. Feeling pretty proud of myself, I told my family, “My productivity is insane now. I’ve already finished half my work before getting to the office.” A few minutes later, I realized I had missed two subway stops because I was too busy chatting with Hermes. The time AI saved me was immediately spent riding the subway.
In the afternoon, I started training Hermes to become a better research assistant. I taught it how to search for papers, download them, read them properly, and then gave it a set of literature review writing skills to learn from. What surprised me was how quickly it improved. It didn’t just follow instructions—it kept refining its workflow and getting better with each iteration.
I then gave it a research topic I’m very familiar with and asked it to write a literature review based on full-text papers, format it, and send it to my email. The result was better than I expected. Not perfect, but a solid 80/100.
One thing I learned from this experiment: the future bottleneck isn’t AI. It’s knowing what to teach AI. There are thousands of Skills available now, but not all of them are good. A Skill that works for medical research may be terrible for social science writing.
Treat your AI like a junior researcher. Don’t let it learn everything. Teach it the right things.
GPT Image and Nano Banana can now generate impressive scientific figures. But the more I test them, the more I feel the real bottleneck is not image generation. It is prompt writing.
Most researchers do not need a prompt like “make a beautiful scientific figure.” They need a prompt that explains the science: what the mechanism is, what happens first and next, which cells/molecules/materials must appear, what should be labeled, how the layout should work, and what the model should avoid.
That is the difference between a figure that looks nice and a figure that actually communicates research.
So we open-sourced 140+ research figure prompts with real output examples across graphical abstracts, mechanisms, workflows, lab apparatus, microstructures, systems/networks, cross-sections, ecology diagrams, and journal-cover-style visuals.
The goal is simple: help researchers spend less time staring at a blank prompt box, and more time communicating their science clearly.
Repo:
https://t.co/7oVovuxdT2
Use it, fork it, or contribute prompts from your own field.
One of the happiest moments as a teacher is not simply seeing students graduate.
It’s seeing them discover what they truly enjoy and find a path they want to pursue.
Congratulations on your graduation and on finding work you’re genuinely passionate about. The future is just getting started.
Nature says ChatGPT can help with academic writing.
But the key is not “write my paper for me.”
The real value is context-first revision:
preserve author intent, improve clarity, and avoid overstating claims.
So I turned this workflow into an Agent Skill:
Academic Writing Polisher
https://t.co/iCARtpDhg5
Lee Robinson 从 Next.js 退出后,加入 Cursor 成为 AI Coding 的教育布道者,还是坚持一如既往的从零教学啊
当初学 Next.js 就是看了 Lee 视频感觉还挺有趣,现在转头去教 AI Coding 了
完全零基础教学,应该对非程序员接触 AI Coding 很有帮助👍
https://t.co/CVGhSTw5o5
For the first time since we launched https://t.co/1mCWajpbDM, I said no to an opportunity to be in the spotlight. I feel like our users are at capacity, so we need to quickly iterate based on their feedback first before we can focus on promotion.