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Data Frank's avatar

I’ve definitely been guilty of treating AI like a sprint partner — rushing to “done” instead of pausing to think. And just like you, the result usually looked fine on the surface but fell apart on a second read.

What’s helped me is reframing reflection as a system, not just a mindset. Building in tiny checkpoints — a pause to question assumptions, a quick lens shift before publishing — makes clarity less about luck and more about process.

I’ve been exploring this rhythm a lot in my Notes lately: how slowing down with intention actually makes consistency easier, not harder.

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Sam Illingworth's avatar

Thanks Frankline. I love the idea of exploring the rhythm that is evident in your Notes. In fact, this actually might be a very good use of AI, as a starting point at least, to see how the pacing has maybe changed over time. You could then map this onto events that you knew to be happening at the time. 🙏

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Data Frank's avatar

Exactly Sam

That's an interesting insight

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Sharyph's avatar

This concept of "slow AI" is brilliant, so often we get caught up in the race for speed. Using AI for reflection rather than just acceleration is a powerful perspective shift that can lead to more meaningful work.

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Sam Illingworth's avatar

Thanks so much Sharyph. 🙏

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John Samuel's avatar

Sometimes, I do ask LLMs to propose me better prompts on a given topic. The results are indeed surprising, and of better qualtiy. Thanks for sharing the article.

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Sam Illingworth's avatar

Thanks John. I agree! It's almost as if the LLMs are some of the best prompt engineers out there...

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TBA | Media for Women's avatar

Interesting (added to me relaxation read) 😌

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Sam Illingworth's avatar

Thanks, this is lovely to hear. I hope this process can really help your reflective practice. 🙏

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TBA | Media for Women's avatar

Yeah, I look forward to it

Thanks again

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