How can we make clear to somebody that we're trying to get it across to that a lot of, that even though we may have used gen AI or AI in general for parts of what we've done, that there's still a lot of thought, a lot of taste that has gone into this, uh, you know, all this invisible learning behind the scenes that creates something novel? How can we express that effectively to executives or readers or whoever?

There are these tools out there that are doing, like, was this written by AI or not? I don't know if I believe in that.

Like, this is, this is where I think a much deeper, the question that you've asked goes way deeper, right? I wanna be differentiated as a creator to the person who's reading my stuff.

There's parts of it that are, and so p- there's transparency and, like, there's parts of it that all of us are using, um, AI to, to either flesh out, to do research or, well, I put on all my blogs that, um, I take help for research for my blogs and, um, the, the lived experiences are added on top of th-those researches, and then I draft the, the bullets for my paragraphs, and then that goes into my Claude writing skill that actually does the blog itself.

And, and so the output when you put through these, these tools, it could look like that, that it was AI generated, but the experience in there, the example that I'm put-putting in there is, is all based on the conversation I've had with the CTO or a, or a CXO, right? Um, and I think that is where I feel that people want to read my blogs because they, they know that what they're getting is deeply ingrained into the experience, the experiences that we've had.

So that's one aspect of it.

The, the second aspect, like because I make a lot of images with, and my Gemini Nano Banana is my base model, and I've sort of fine-tuned it with all of the three hundred some images of my, um, hand-designed, uh, sketches to have my character and my style into the model now.

Could you tell us about that ten, twenty, seventy framework?

seeing what they're doing, which is not a muscle any organization has.

Exactly.

And we've seen examples of this where large deployments of tools where your 10% people, whether they're younger or, you know, Gen Alphas or whatever, right? You...

Because they haven't seen the way you've worked before.

You hire an intern and you just tell them, here's the goal, right? You don't tell them how to do it.

And they'll come up with much easier, faster, better ways with AI to do that versus somebody who has seen the process from the beginning.

It's much harder for them to change that, right? Because they are constantly thinking about those things.

The product folks spend a lot more time writing specs because engineering time is so dear, which is less true these days.