Course overview
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Elena's Thursday, two ways

8 lessons · 27 prompts

A day in the life of a Physicist: what changes with these prompts.

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Elena, a condensed matter physicist at a university lab.

Elena starts her Thursday with a new arXiv paper on a topological material. She pastes the abstract and key equations into ChatGPT and uses the Literature And Concepts prompt to summarize the main claim and compare it with her own model. She notes two differences worth testing.

After lunch, she checks a long derivation for a transport equation. In Claude, she uses the Math And Derivations prompt to verify each algebraic step and simplify the final expression. The AI catches a sign error she missed, and she fixes it in minutes.

Next, she opens a Python script for a thermal conductivity simulation. With Gemini, she uses the Coding And Simulations prompt to debug a slow loop and suggest a vectorized version. The run finishes before she leaves.

Before heading home, she uses the Data Analysis And Statistics prompt in ChatGPT to choose a fitting method for her latest measurements and structure a reproducible pipeline. With the time saved, she picks up her daughter from soccer practice and cooks a proper dinner instead of ordering takeout.

Before

  • Papers pile up faster than I can read them.
  • Checking algebra eats a whole afternoon.
  • Debugging code keeps me from the physics.
  • Grant forms and referee replies drain my energy.

After this course

  • Papers make sense in minutes, not days.
  • Derivations get checked before I move on.
  • Simulations run while I think about results.
  • Evenings are for family, not paperwork.

What you'll learn

  • Literature And Concepts: Use AI to digest new papers, clarify unfamiliar ideas, and compare models before the math.
  • Math And Derivations: Use AI to check algebraic steps, simplify expressions, and explore limiting cases.
  • Coding And Simulations: Use AI to draft, debug, and speed up numerical code for simulations and data reduction.
  • Experimental Design: Use AI to plan protocols, build uncertainty budgets, and identify controls before you commit time.
  • Data Analysis And Statistics: Use AI to choose statistical methods, interpret fits, and structure a reproducible pipeline.
  • Papers And Referee Replies: Use AI to draft and polish manuscripts and respond to referee reports without losing your voice.
  • Talks And Collaboration: Use AI to structure presentations, prepare for tough questions, and keep collaborators aligned.
  • Teaching And Grant Admin: Use AI to create teaching materials and handle funding paperwork so you can focus on research.

How this course works

  1. 8 lessonsOne task of your job each, from literature and concepts to teaching and grant admin.
  2. Ready-to-paste promptsCopy, fill in the parts in {{brackets}}, paste into ChatGPT, Claude or Gemini.
  3. Tick and completeTick the prompts you tried and mark each lesson complete.
  4. Get certifiedFinish and keep the prompts as your own library.