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Weeks

Building temporary communities and staying ahead 
in the age of AI

Week 37. From building in public a Brittany running club to OpenAI’s leadership memo.

Hey!

Welcome to this Week 37 edition! This one is about tiny moves that punch way above their weight.

A running club built on €2 a day & other tactics

Snapshot from Ads Library.

In a previous edition, I shared the 70+ slides of advice from Areej Abuali on how to build communities today. How to get noticed, engage, and grow essentially.

I came across a nice build in public experiment in Pénestin (Brittany), where Claire Gallic created a temporary community around running and food. She used traditional channels to spread the word but in a smart way:

  • Flyers. Distributed all over Pénestin... 2K inhabitants and x10 during summer! They were also a way to pitch the project to a lot of people face-to-face. Word of mouth is your most powerful channel. Always.
  • Geo-targeted Meta ads. Just €2 per day! Wild how far a tiny budget can go when it’s hyperlocal.
  • Instagram stories. Posted on a dedicated account, often in collaboration with local shops to boost reach. She also followed every local business and the city hall account to grow visibility.
  • A local Facebook group. Posting in a popular private group gave extra traction.

Read the post by Claire Gallic (in French) and look at campaign results.

OpenAI drops a leadership guide to adapt to AI mode

Five essentials :)

Here's the best piece of advice I found in the PDF:

Ask senior executives to regularly share how they use AI in their roles.

It could be anyone actually sharing how they use AI. As far as I can see in our AI usage, everyone has their own prompting habits, and the more you share them, the faster everyone levels up.

It’s short, practical, and worth circulating internally.

Staying ahead in the age of AI, a leadership guide

🍿Snacks

  • You're definitely going to be a manager now. Latest post from Julie Zhuo, author of The making of a manager. What's interesting is in how she highlights how certain parts of the management function must shift into the hands of the individual contributor so they can experiment quickly, learn and share. That's very similar to what Elena Verna shared about her working at Lovable in The rise of the AI native employee. Read Julie Zhuo's post.

See you next week,

Alice

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