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Roi Ezra's avatar

Loved this, so relatable! I've also set up my AI collaborator with custom instructions, though sometimes it feels less like a thoughtful colleague and more like a relentless personal trainer spotting every weak argument. But hey, the intellectual workout always pays off!

This practical approach aligns perfectly with what I call 'Reflective Prompting', using AI to sharpen clarity and coherence, not replace it. Thanks for keeping it real (and funny)

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Grant Geist's avatar

Hey Torsten, this is excellent. Thank you for putting this together.

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TH's avatar

A comprehensive and well-rounded assessment. Thank you for sharing.

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Egor_Burda's avatar

Personally, I think this is the stuff that students should read when using AI. That way, we avoid the whole “should we ban AI in education?” polarized discussion

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John Pugh's avatar

I do like projects when I’m building plans but what I dislike is the constant requirement for providing more detailed context. This is where the broader use of specific agents is key and a big missing when trying to use the limited chat UI interfaces.

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Rob Wood's avatar

I loved this Torsten - both educational and funny which I find a great combination! Now to persuade work that I should be allowed to use more than our in-house approved tooling!!! Many thanks for sharing, Rob.

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Gianni Berardi's avatar

Using the projects immediately improved my interaction with Claude (I analyze stock index data).

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Jeff Morhous's avatar

thought partner > task do-er

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Gianni Berardi's avatar

https://osf.io/preprints/osf/mex39_v1

“Using Biometrics to Understand AI-Assisted Coding

Performance and its Perception: a Registered Report”

First steps on how to integrate AI into programming work and learning in a broader sense, in an efficient way.

A joint work of the University of Copenhagen and the University of Bari, Italy

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