Dr. Peter Boulden

speaker
301 appearances 1 recordings 1 series first heard Jul 2026 last heard 20 Jul

Dr. Peter Boulden’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months
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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

Appearances

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No one has to learn how to code computers or coding language or anything like that.
You just have to be able to talk and what tools to use and what outcome you want and be strategic and then iterate and iterate again.
That's really as hard as AI is.
But so many people are intimidated by going to a whole different layer.
So they stay at that answer engine layer.
all of your more context because the contact windows are so big now you know that's what i think you're saying corey is like it used to be that you had to be succinct but now it's like you have million word context windows so the more vomit you give it the smarter these things are so smart they can be like i think i know what he's saying i think i know what she's saying here right and so agreed with what you just said the context windows are so much better
I love that.
You know what this reminds me of?
I use a term in Bulletproof all the time.
It's like where the rubber meets the road, right?
Because I don't want to... Fancy shiny objects are great.
And this is my... But if they don't do something to create leverage in your practice, time, money, or emotion, then it's just a fancy shiny object.
So this is why I get mad when people...
get enamored with KPIs because these down dashboards come up, Corey, as you know, and it's all, you know, ooh, look at the thousand metrics that I can track now.
But here's the problem.
A, you don't know kind of what the supporting evidence that was there to make those, the KPIs.
Then you don't know if the KPI is good or bad.
And then lastly, if it goes wrong, do you really know how to reverse engineer the outcome to change it?
And so what I love what you did in your own environment is you took something that was hated and instead of people having to go, I say push versus pull, instead of people having to go pull that data and find this and find this report and oh man, you had an AI push it to your people.
push it to you right giving you that information so it's a push versus pull and one has sustainability right in that aspect the push when things are pushed to you they're usually okay i'll read this and ingest it but when you have to go harvest that data and look around and count this and count that not going to happen not going to happen so i know i just talked about two different things but like i'm trying to i'm trying to ram as much of this podcast as possible
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