We’re curious about those light bulb moments — the shifts in how you use AI that suddenly made it significantly more helpful.
A couple of examples from the team to get you thinking:
For one of us realised how much better the output became when we gave AI proper context — things like the tone we wanted, the structure of the output, or a few examples to follow.
Another had a breakthrough when they stopped taking the first response at face value. They started iterating — using the first draft as a base, editing it, then looping it back in. That back-and-forth really unlocked better results.
I’d say my unlock was when I started treating AI like a really knowledgeable intern.
What I mean by that is: I stopped expecting the first response to be amazing. I’ve got friends who dismiss AI because the first thing it gives them isn’t perfect and I used to do the same.
But once I realised the real value comes from building on that first response — iterating, refining, asking follow-ups.
I’d agree with you. I think the moment I really started understanding how to use AI properly was when I realised how important it is to give it context.
For one of us realised how much better the output became when we gave AI proper context — things like the tone we wanted, the structure of the output, or a few examples to follow.