Resources

A short list of things actually worth your time

How to use this list

Most AI resource lists are a hundred links long, and that’s the problem. You open one, feel behind, and close the tab. This list is short on purpose.

Here’s what I’d actually tell you to do: pick one podcast and one newsletter. That’s it. Give it three weeks. The goal isn’t to keep up with AI — nobody is keeping up with AI. The goal is to build enough context that the next new thing makes sense to you instead of adding to the pile.

Everything below is chosen for people doing the work, not people building the tools. No frameworks, no repositories, no setup guides.

From me

Eureka Moments

My own AI literacy series — short audio episodes that explain what’s actually happening with AI, in plain English, for people who don’t work in tech. New episodes weekly.

Listen

Search these in whatever podcast app you already use

  • The Artificial Intelligence Show — Paul Roetzer and Mike Kaput. The most consistently useful one for business context. Start here if you only pick one.
  • Everyday AI — Daily, practical, short. Good for building the habit.
  • AI and I — Dan Shipper. Longer conversations about how people actually work with these tools.
  • The TED AI Show — Wider lens. Useful when you want the bigger picture rather than tactics.

Read

Pick one newsletter. Two is already too many.

  • The Neuron — Short, plain-language daily. The easiest one to actually keep up with.
  • The Rundown AI — Daily roundup with a practical bent.
  • Marketing AI Institute — If your work touches marketing or communications.
  • Almost Timely — Christopher Penn. Deeper and more opinionated. Good once you have some footing.
  • One Useful Thing — Ethan Mollick. The best writing anywhere on what these tools can and can’t do. If you read nothing else, read this.

Tools I Actually Use

Not a comprehensive list — a working one

  • Claude and ChatGPT — Pick one and get good at it before adding another. Switching constantly is how people stay beginners.
  • NotebookLM — Upload your own documents and ask questions against them. The one I teach most often, because it solves a problem people actually have.
  • Otter.ai — Meeting transcription. Quiet time-saver that pays for itself in a week.
  • Perplexity — For research where you need to see the sources.

Worth Sitting Down With

Longer form, when you want depth instead of headlines

  • Co-Intelligence — Ethan Mollick. If you read one book on this, read this one. It’s about working with AI, not about the technology.
  • A Guide to Prompting AI — A single article that will change how you talk to these tools.

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