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You're listening to episode 306 
of the Marathon Running Podcast.

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In this episode, we're going to 
talk about AI and nutrition. 

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Welcome to the Marathon Running 
Podcast by Marathon Journal. 

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Join us every week for the 
insights and inspiration you 

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need to get from the starting 
line to the finish line and 

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beyond. 
Hey runners, and welcome to 

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episode 306. 
My name is Letty flying solo 

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again today and this is going to
be a very quick intro because it

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is spring break and we are 
headed to California in a 

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minute. 
And so the short intro, Ryan is 

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busy. 
Ryan is always busy. 

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Anyhow, today we are talking 
about the topic of AI in 

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nutrition and we are going to 
approach it kind of the same way

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that we approach coaching in AI.
Everyone knows that there's tons

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of training plans out there, but
now we also have the AI training

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plans that suppose it interpret 
everything that is going on with

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your Garmin and they are smart 
enough to take some of the data 

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and interpret it to where they 
can cater to you and get you 

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ready for a marathon. 
Now, I personally am a huge 

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proponent of AIAI has made my 
life so much easier and I 

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believe that we have discovered 
so much because of it. 

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And at the same time, I also 
think that AI still has a long 

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way to go. 
Now when it comes to coaching 

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and AI, do I think that AI 
coaching is better than some 

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coaches? 
Absolutely. 

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There are some coaches out there
that already use ChatGPT and 

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everything else and get your 
training plan together that way,

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and you could probably even do a
better job than they do. 

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However, at the same time, I 
think there are lots of coaches 

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out there who are so well in 
tune with their athletes, who 

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communicate so well with their 
athletes, who are able to 

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interpret not just the data that
they see in the garment, but 

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also the responses and feelings 
of these athletes that could 

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absolutely never be replaced by 
AI. 

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Do I think AI coaching is good 
for some people? 

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I think so. 
I, for instance, am using an egg

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AI coaching program right now 
just to kind of try it out and 

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see the goals that I have for 
myself right now in this era of 

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my life are not really, you 
know, PR ING. 

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And I think I can do very well 
with an AI coach if I just 

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follow along, but also listen to
my body. 

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And I do have experience of 
having been coached by one of 

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the best coaches. 
So I kind of know what's going 

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on and what I need to pay 
attention to and what do I need 

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to just dismiss when it is being
suggested. 

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So I think, you know, it's kind 
of a hybrid. 

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And so I was very curious how 
that would play out when we 

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translate that into nutrition. 
And to help me navigate through 

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that topic, I invited registered
dietitian Alex Larson back onto 

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the podcast to talk to me about 
this topic. 

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And I'm going to wrap up my 
little intro right here. 

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Let's hear what Alex Larson has 
to say about all of this. 

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All right, so I'm back on with 
Alex Larson. 

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Alex, thank you so much for 
joining me today. 

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Yeah. 
It's great to be. 

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Back, Yay. 
And I'm excited that you decided

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to come back on because we are 
talking about the topic of 

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nutrition and you are an expert 
in that. 

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But for our listeners who have 
not heard your previous episode,

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maybe introduce yourself again. 
Yeah, I'm a registered 

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dietitian. 
When I started my career, sports

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nutrition was not on my radar, 
but I was really into triathlons

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when I was like a baby, a 
dietitian. 

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And during that time of being a 
triathlete, I obviously fueled 

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myself during that time. 
And next thing I knew, by 2014 I

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was doing Ironman Wisconsin. 
And when I crossed the finish 

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line of that race, I was very 
much like, oh, I really, I truly

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realized like how impactful 
nutrition can be to your 

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performance. 
And seeing a lot of athletes 

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struggle that day and other 
days, I knew that I kind of felt

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my calling, that I needed to 
help my people. 

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I needed to like when athletes 
come to me and they're like, I 

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want to swim the English 
Channel, or I want to do an Iron

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Man or I want to run a marathon.
And like, those are my people. 

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The farther you want to go, the 
better. 

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I will help you feel for that. 
And so I started Alex Larson 

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Nutrition in 2018 while I was 
growing my family. 

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And now I get to do this full 
time working with endurance 

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athletes, helping them fuel not 
only their training and their 

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races, but also how to navigate 
doing that while also like 

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living a really busy life, maybe
have kids, maybe have a career 

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and maybe travel a lot. 
And all of those different 

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things really can make nutrition
challenging. 

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And so that's kind of where I 
can step in and help bridge that

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gap and help with the 
implementation and helping 

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people eat really well in their 
day-to-day, but then also around

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their training. 
I love it. 

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And nutrition is such a broad 
subject too, and kind of what 

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you alluded to, there's so many 
different aspects that go into 

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nutrition from when you eat what
you eat. 

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But also, it's hard to gauge it 
because besides body composition

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and gaining weight, losing 
weight, you can't really point 

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to, hey, I have gotten fitter 
because of nutrition because 

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it's something that we don't 
see, kind of like mental 

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training. 
Yeah, like there's so many 

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aspects of nutrition that I 
consider, you know, the 

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logistics of eating really well.
I think a lot of people just 

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focus in on what they should be 
eating. 

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They want to eat like the 
healthiest foods and have the 

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perfectly curated Instagram 
worthy meals and snacks. 

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And I'm like, that's just like 1
little piece of the puzzle. 

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Like we also need to make sure 
that we are preserving our 

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mental health around our 
relationship with food and our 

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relationship with our body and 
making sure that you have 

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clarity and confidence in what 
you're eating and those food 

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decisions don't feel 
overwhelming for you. 

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I hear all the time from 
athletes like I'm constantly 

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second guessing, like what I 
should be eating, how much I 

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should be eating, when I should 
be eating. 

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And offering clarity can be just
a weight off of the shoulders 

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and one less thing that you have
to stress about. 

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And just like knowing how you're
supposed to fuel, you can look 

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at your schedule in the day, you
can look at your training and 

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you have a really good idea of 
how to fuel yourself and nourish

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yourself really well, not only 
to train well, but then also 

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recover well from the workouts. 
Yes, yes, absolutely. 

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So much to the subject. 
And now another thing came into 

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the subject, which is AI and 
that's what today's topic is 

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going to be. 
We're going to talk about AI and

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nutrition. 
And I want to just kind of draw 

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a parallel to how we are going 
to talk about that. 

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Kind of like if you are a 
running coach back in the days, 

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there was no Internet. 
So you're basically just taking 

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word of mouth from a running 
coach. 

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Then the Internet came and with 
that came run coaching plans. 

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Those were stagnant plans that 
were not adaptable to 1. 

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And now with AI, we have run 
coaching plans that supposedly 

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adapt to you however much they 
can. 

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Obviously they don't know how 
we're feeling unless it's a 

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super smart AI program where you
literally have a communication 

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and dialogue going of everything
that you know goes on with you. 

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But also there's a lot of stuff 
going on with you that you don't

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know about. 
You know, we don't have a little

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screen on us that says what our 
levels are, but maybe introduce 

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AI to how it has affected 
nutrition and how you see that 

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in your. 
Practice, yes, I think there's 

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definitely some things that you 
can use and I was able to say 

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like ChatGPT is the main one. 
I think see a lot of like people

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using just because that's one 
very common platform. 

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It's free. 
Yeah, it's free. 

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You know, you can, you can use 
it for a lot of different 

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things. 
And so there's definitely do's 

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and don'ts when it comes to 
using AI for nutrition because 

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above all else, like we want to 
make sure that we prevent harm, 

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right? 
And there is always a risk with 

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using AI for nutrition because 
it really can impact your 

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health. 
And I'll give an example of 

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athlete of mine recently wanted 
to use creatine and so he 

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started taking creatine. 
And what he forgot to mention in

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his like initial like client 
form to me was that he has a 

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history of gout. 
And so he started taking 

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creatine because he had said to 
me like, oh, I've got this 

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creatine here. 
Should I take it? 

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I'm like, yeah, I'm team 
creatine. 

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I talked about that in our 
previous episode. 

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Like it's great for recovery, 
great for muscle strength. 

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And about like 5-6 days after he
started taking it, he had a gout

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flare up. 
And he hadn't had a gout flare 

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up in like 2 years. 
And he's like, Alex, is this 

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like probably because we're 
starting to work on body comp 

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and I'm at a little bit of a 
Calor deficit. 

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I was like, I feel like that's 
not the case. 

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And so I'm like, let me look at 
your journal and get back to 

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you. 
And I started looking at his 

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journal. 
I saw he had started adding 

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creatine and all of a sudden, 
like the warning bells went off 

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in my head. 
And so I looked up some research

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studies real quick and sure 
enough, there was a couple 

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studies that said that creatine 
can be very purine producing. 

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And I was like, you need to stop
the creatine immediately. 

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And so he's like, oh, weird. 
He's like, I asked Chuck GPT if 

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it was OK to take creatine with 
gout and it said it was fine. 

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And I was like, and he's like, 
so then now that I now that he's

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like, now that you said that, he
goes, I looked it up and there's

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actually some research studies 
on pub Med that that said that. 

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And I go, yeah, that's what I 
thought too. 

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And so that was an instance 
where I was like, OK, I've said 

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this before, like on on my 
Instagram account, I'm like, do 

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not use ChatGPT for medical 
advice. 

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It's very important that you 
consult with a primary care 

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provider, your own dietitian, 
your healthcare team to make 

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sure that you are getting the 
best advice for yourself and 

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your health because obviously we
don't want to put you in harm's 

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way. 
So that was a really good 

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learning for him to not use 
ChatGPT for health related 

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questions and to do a little bit
more digging beyond just AI. 

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That being said, I've certainly 
used AI for like summarizing 

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like research articles. 
I'll either like upload the PDF 

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to them or I will provide a link
or I'll say, hey, what research 

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studies can you find on this 
specific topic? 

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And so it'll pull some research 
studies for me and provide 

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links. 
And so then I will go to those 

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links and I will read through 
those articles. 

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So like there's ways that you 
can save yourself some time that

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way, but certainly not just 
asking it a question with not a 

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lot of context and taking that, 
you know, information as gold. 

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I would take it with a grain of 
salt and I would continue to do 

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more research and I would talk 
with your healthcare team to 

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make sure that you're getting 
the best information and can 

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make the most informed decision.
Yeah, no, absolutely medical 

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advice. 
Same with legal advice, right? 

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I. 
Don't think we're quite there 

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yet. 
I know they are. 

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My background is illegal. 
So I know that they are creating

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research tools where, you know, 
AI actual finds cases and 

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doesn't just make up case law. 
Because believe it or not, 

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currently if you ask it a 
question, it makes up case law 

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that you're not scared patient. 
Yeah. 

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So absolutely you can't rely on 
that. 

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But what about some other things
such as using chat DBT for meal 

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ideas or those adaptive trackers
for tracking your micro and 

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macros? 
And what are your thoughts on 

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that? 
And are there any of these that 

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you recommend for somebody that 
does not have a nutritionist? 

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Yeah, I think that meal and 
snack planning and inspiration 

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is great. 
I don't, I'll just say I'm not a

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fan of meal plans in general. 
Like if some were to say, Alex, 

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can you write me out a meal plan
and like telling them exactly 

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what to eat, breakfast, lunch, 
dinner, snacks. 

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Historically those don't work. 
Just like to be upfront, like I 

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could write out the most perfect
meal plan for someone and I'm 

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like, you will 100% see results 
if you follow this meal plan. 

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However, people don't follow the
meal plan never like they don't 

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follow it perfectly. 
And that's, I mean, I wouldn't 

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either. 
You know someone, I wrote myself

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out a meal plan. 
Like life gets in the way and 

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it's really difficult to follow 
those as prescribed. 

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So I'm not a huge fan of meal 
planning and right and like 

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having those really prescriptive
meal plans. 

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It's kind of like that saying 
like you give a man a fish he 

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can eat for a day, but if you 
teach a man to fish, he can eat 

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for life. 
If I can teach people how to 

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plan out their own meals with 
their schedule and routine and 

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their life and their specific 
athlete needs, that's going to 

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help fuel them for life, not 
just for that week of that meal 

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plan, right? 
So that's where if you are 

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trying to plan out what you're 
going to eat for the week, and 

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let's say you're going to go 
onto an AI platform and you say 

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something like, hey, I'm looking
for five balanced dinner ideas 

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that have 30 to 40 grams at each
meal. 

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They're kid friendly. 
We have a fish allergy in our 

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household. 
We prefer poultry. 

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We enjoy rice and other various 
carbs and can you like, so can 

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you give me like 10 ideas? 
I'm going to select five and 

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then like, can you give me a 
grocery list? 

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You know what I mean? 
So like those types of things 

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you could use AI for to just 
give you that inspiration of 

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ideas because sometimes we do 
get a lot of decision fatigue 

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with meals. 
And so using that as in 

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perspiration, I think is a 
really smart way of using that. 

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Yeah, no, it sounds good. 
And then what about the adaptive

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trackers, the macro micro? 
No, there is often some margin 

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of error there. 
Typically I had done. 

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What was it like? 
It was like a an AI estimator of

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calorie and macro nutrient needs
just in terms of like having it 

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00:14:25,360 --> 00:14:30,480
estimate how many calories I 
needed based off of like my age,

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weight, height and like activity
level. 

258
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And it estimated my caloric 
needs about 200 to 500 calories 

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higher than what I calculated 
for myself as a sports 

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dietitian. 
And so those types of AI tools, 

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I have definitely some concerns.
I think that they definitely 

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00:14:46,120 --> 00:14:51,600
could over or underestimate. 
And I have seen some other like 

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nutrition AI platforms. 
And I mean, obviously I haven't 

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talked with all of the athletes 
that have used that before, but 

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a good majority of them I've 
talked with and they were 

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severely under fueled. 
Like I had one triathlete who 

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was like lethargic and he's 
like, I can barely continue on 

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training. 
He's like, I feel so miserable. 

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And then when I calculated his 
needs, I had him at 2800 

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calories a day to maintain his 
weight and his activity level. 

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And the AI platform that he was 
using calculated his needs at 

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about 1800. 
So like 1000 calorie deficit. 

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It was massive. 
And I know another professional 

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00:15:32,240 --> 00:15:36,880
athlete that trains, you know, 
2A days almost every day of the 

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00:15:36,880 --> 00:15:41,040
week. 
And her carb target that, that 

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AI platform set for her was so 
low. 

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Like I was like, there's no way 
that it should be that low. 

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And so there's, there's just 
concerns with those types of 

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00:15:49,960 --> 00:15:53,400
things that they're really not 
looking at the full picture of 

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00:15:53,400 --> 00:15:56,320
the athlete. 
And that's, like I said, either 

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00:15:56,320 --> 00:15:57,920
overestimating or 
underestimating. 

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And so I do have skip. 
I'm, I'm very skeptical about 

283
00:16:04,080 --> 00:16:04,920
them. 
We'll just say that. 

284
00:16:05,680 --> 00:16:07,320
Yeah. 
So I mean, I guess ideally then 

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you would go to someone, a 
nutritionist or wherever you are

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00:16:11,720 --> 00:16:14,600
able to find out what your 
caloric need is for whatever 

287
00:16:14,600 --> 00:16:17,360
activities you're doing, which 
obviously is not. 

288
00:16:18,200 --> 00:16:20,400
It's, it's fluid, right? 
Because if I'm training for a 

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00:16:20,400 --> 00:16:23,320
marathon and I'm running 20 
miles right now and in three 

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00:16:23,320 --> 00:16:27,720
months I'm going to be running 
80 miles a week, then that is 

291
00:16:27,720 --> 00:16:30,880
not something. 
And supposedly that the AI 

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00:16:31,560 --> 00:16:34,520
platforms account for that, but 
I still continue to see over and

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00:16:34,520 --> 00:16:36,240
over that athletes are under 
fueled. 

294
00:16:36,240 --> 00:16:41,240
And, and here's the other thing 
is my job is always to teach 

295
00:16:41,240 --> 00:16:42,960
people how to eat for life, 
right? 

296
00:16:44,360 --> 00:16:47,920
Tracking they're like every 
single thing that they're eating

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00:16:47,920 --> 00:16:50,120
for the rest of their life is 
not sustainable. 

298
00:16:50,120 --> 00:16:52,280
It's not feasible. 
No one wants to do that. 

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00:16:52,600 --> 00:16:56,240
And so for me, we use a food 
journal as part of like our 

300
00:16:56,240 --> 00:16:59,120
coaching process, but the goal 
is eventually to get them weaned

301
00:16:59,120 --> 00:17:03,360
off of that journal and being 
able to make their food 

302
00:17:03,360 --> 00:17:07,040
decisions on their own without 
having to journal for the rest 

303
00:17:07,040 --> 00:17:09,240
of their life. 
And so a lot of those trackers 

304
00:17:09,240 --> 00:17:12,359
don't actually teach you the 
skills that you need to do that.

305
00:17:12,359 --> 00:17:14,760
And that's a, that's a gap, 
that's an area where they're 

306
00:17:14,760 --> 00:17:17,920
kind of missing out on. 
I mean this I'm kind of laughing

307
00:17:17,920 --> 00:17:19,920
because you're talking about the
sustainability of that. 

308
00:17:19,920 --> 00:17:22,520
I have 0 tolerance for that. 
I have never had a meal tracker 

309
00:17:22,520 --> 00:17:25,079
where I put in every single item
that I eat. 

310
00:17:25,079 --> 00:17:28,240
If I'm eating a small egg or a 
big egg, it just sounds like 

311
00:17:28,240 --> 00:17:29,840
something I'm absolutely not 
interested. 

312
00:17:29,840 --> 00:17:34,520
And I do understand that if you 
are looking to make changes that

313
00:17:34,520 --> 00:17:38,320
might be necessary, but I, I 
like that you're saying that it 

314
00:17:38,320 --> 00:17:42,120
is something that you might have
to do just momentarily and then 

315
00:17:42,120 --> 00:17:44,000
you're trying to wean your 
clients off of that. 

316
00:17:44,280 --> 00:17:49,440
Yeah, and if someone has let's a
history of an eating disorder 

317
00:17:49,440 --> 00:17:53,240
using like those AI trackers can
be really triggering for those 

318
00:17:53,240 --> 00:17:55,280
types of like disordered eating 
behaviors. 

319
00:17:55,680 --> 00:17:58,320
And that's something, you know, 
again that like if you're 

320
00:17:58,320 --> 00:18:01,000
working with an actual sports 
dietitian, we will take that 

321
00:18:01,000 --> 00:18:05,200
into account and we might have 
different ways of approaching 

322
00:18:05,200 --> 00:18:08,440
teaching you how to eat really 
well that don't involve like 

323
00:18:08,440 --> 00:18:14,960
those triggering behaviors. 
So again, like there's great 

324
00:18:14,960 --> 00:18:17,800
things that you can use AI for, 
but there are some definite gaps

325
00:18:17,800 --> 00:18:20,800
that there's no way ever they're
going to be able to provide that

326
00:18:20,800 --> 00:18:23,920
support to you. 
And so I think there's benefits 

327
00:18:23,920 --> 00:18:30,960
of, of using it in that 
inspiration idea, meal idea, 

328
00:18:30,960 --> 00:18:36,480
meal planning, or like I said, 
summarizing medical journal 

329
00:18:36,480 --> 00:18:41,120
articles, nutrition articles 
that are on like pub Med, like 

330
00:18:41,200 --> 00:18:44,680
those types of things I think 
are great, giving you like some 

331
00:18:44,680 --> 00:18:49,320
concepts, but then with the 
actual implementation and 

332
00:18:49,320 --> 00:18:52,080
building those skills and tools 
and strategies for you and 

333
00:18:52,080 --> 00:18:53,600
supporting your mental health 
along the way. 

334
00:18:53,600 --> 00:18:58,480
I think those are where working 
with a sports dietitian would 

335
00:18:58,480 --> 00:19:00,040
definitely be much more 
beneficial. 

336
00:19:00,720 --> 00:19:03,080
Yeah, I mean, that sounds really
good. 

337
00:19:03,160 --> 00:19:07,880
Maybe we can hop into kind of 
like we did last time where we 

338
00:19:07,880 --> 00:19:12,160
have a fictionary person. 
So maybe we can talk about this 

339
00:19:12,160 --> 00:19:16,120
person, a marathoner coming to 
you and asking you, hey, what 

340
00:19:16,120 --> 00:19:18,120
would be the best advice you can
give me? 

341
00:19:18,120 --> 00:19:22,640
How I can use a sports 
nutritionist, but also AI and 

342
00:19:23,200 --> 00:19:26,160
create something that's more 
sustainable, that helps me go 

343
00:19:26,160 --> 00:19:28,400
through marathon training, fuel 
myself. 

344
00:19:28,400 --> 00:19:31,040
Well, through marathon training,
not under fuel, not over fuel. 

345
00:19:31,240 --> 00:19:34,360
Make me strong for race day. 
And then you know where they can

346
00:19:34,360 --> 00:19:38,760
learn something from. 
Yeah, I think that, you know, 

347
00:19:38,760 --> 00:19:41,920
for a marathoner, if they were 
to come in and work with my 

348
00:19:41,920 --> 00:19:44,480
team, we would have them start 
food journaling. 

349
00:19:44,480 --> 00:19:46,320
We want to kind of see like, OK,
what's our baseline? 

350
00:19:46,320 --> 00:19:50,360
Like what does your current 
eating pattern look like? 

351
00:19:50,360 --> 00:19:53,880
And have us kind of estimate and
OK, how many calories, macro 

352
00:19:53,880 --> 00:19:55,720
nutrients, micronutrients are 
you taking in? 

353
00:19:55,720 --> 00:19:57,960
We're looking for gaps and we'll
kind of calculate where we'd 

354
00:19:57,960 --> 00:20:01,360
like that athletes nutrition to 
be based off of their training 

355
00:20:01,360 --> 00:20:04,480
and their goals, see where 
there's some gaps and. 

356
00:20:05,600 --> 00:20:08,240
We will go into our first call 
with that athlete looking for 

357
00:20:08,240 --> 00:20:10,280
the low hanging fruit. 
What are some of the simplest, 

358
00:20:10,280 --> 00:20:12,680
easiest changes we can have them
start making that are going to 

359
00:20:12,680 --> 00:20:15,960
start filling in those gaps? 
And maybe it's them fueling 

360
00:20:15,960 --> 00:20:18,000
around their workouts. 
Maybe they're not fueling enough

361
00:20:18,000 --> 00:20:22,120
there. 
Maybe they have a history of 

362
00:20:22,120 --> 00:20:25,520
Reds and we really need to get 
them back to like full health. 

363
00:20:25,520 --> 00:20:28,720
So we're looking at their 
ferritin levels and their iron 

364
00:20:28,720 --> 00:20:32,120
stores and making sure like OK, 
are you on an iron supplement? 

365
00:20:32,320 --> 00:20:34,200
Are we getting iron rich foods 
in there? 

366
00:20:34,400 --> 00:20:37,680
Are you getting enough protein 
routine to support recovery from

367
00:20:37,680 --> 00:20:41,600
your workout? 
Like looking at those things and

368
00:20:41,600 --> 00:20:44,200
kind of figuring out, OK, what 
are some really simple changes 

369
00:20:44,200 --> 00:20:46,240
to get started with? 
And then we're going to 

370
00:20:46,240 --> 00:20:50,000
progressively build from there. 
We're going to use the journal 

371
00:20:50,040 --> 00:20:54,040
as a learning tool. 
So as you journal or I'm sorry, 

372
00:20:54,040 --> 00:20:56,920
as you make food choices, how 
does that translate to the 

373
00:20:56,920 --> 00:20:58,280
nutrition that you're providing 
your body? 

374
00:20:58,280 --> 00:21:01,560
There's something really 
powerful about seeing what 

375
00:21:01,560 --> 00:21:04,480
you're eating written down all 
in one spot, right? 

376
00:21:05,040 --> 00:21:09,160
And then how does that translate
to your energy levels, your 

377
00:21:09,160 --> 00:21:16,320
hunger levels, your performance 
in your running your, you know, 

378
00:21:16,760 --> 00:21:18,760
like your, your appetite 
throughout the day? 

379
00:21:19,880 --> 00:21:25,800
What's really cool about doing 
some journaling and studying the

380
00:21:25,800 --> 00:21:30,120
journal and, and like 
recognizing changes that are 

381
00:21:30,120 --> 00:21:33,400
happening in your body is you 
start to connect the dots, 

382
00:21:33,640 --> 00:21:36,080
right? 
And then looking also at your 

383
00:21:36,080 --> 00:21:37,600
schedule. 
So like, let's say you're 

384
00:21:39,080 --> 00:21:42,200
someone that likes to run in the
afternoon during the weekdays, 

385
00:21:42,200 --> 00:21:45,000
but then on the weekends you run
to your long run in the morning.

386
00:21:45,200 --> 00:21:49,320
How would you shift your fueling
based off of time of day of when

387
00:21:49,320 --> 00:21:52,360
your training is? 
So talking through those 

388
00:21:52,360 --> 00:21:55,360
different kind of unique 
scenarios of life and how to 

389
00:21:55,360 --> 00:21:59,680
adjust timing of things is also 
something to again, building 

390
00:21:59,680 --> 00:22:03,360
those like strategies and tools 
and skills so that when you are 

391
00:22:03,360 --> 00:22:06,160
done working with a dietitian, 
you can keep doing that. 

392
00:22:06,400 --> 00:22:13,280
And then you can use AI in a way
of like, OK, I've got this goal 

393
00:22:13,280 --> 00:22:15,560
of I need to get more protein at
breakfast. 

394
00:22:15,560 --> 00:22:18,400
OK, Right now my breakfasts are 
only about 10 grams. 

395
00:22:18,800 --> 00:22:22,440
I want to get up to 30. 
I'm going to use AI to just give

396
00:22:22,440 --> 00:22:25,720
me some different inspirational 
breakfast ideas. 

397
00:22:25,720 --> 00:22:27,800
Here's some things that I really
love in the morning. 

398
00:22:28,040 --> 00:22:32,560
I really only have 15 minutes to
prepare it and 10 minutes to eat

399
00:22:32,560 --> 00:22:35,240
it. 
So writing all of those kind of 

400
00:22:35,240 --> 00:22:38,840
details in AI to give it as much
information as possible, say, 

401
00:22:39,080 --> 00:22:42,000
hey, can you give me a bunch of 
different ideas and how I can 

402
00:22:42,000 --> 00:22:46,720
kind of mix and match some 
ingredients in it, keep things 

403
00:22:46,720 --> 00:22:49,480
interesting, but also make sure 
I'm consistently getting around 

404
00:22:49,480 --> 00:22:51,640
30 grams of protein at 
breakfast. 

405
00:22:51,800 --> 00:22:54,000
So using AI that way is really 
helpful. 

406
00:22:54,000 --> 00:22:56,720
Certainly the sports dietitian 
can offer some recipes and 

407
00:22:56,720 --> 00:23:00,200
whatnot, but AI is just, you 
know, a wealth of like 

408
00:23:00,360 --> 00:23:04,000
inspiration in terms of like it 
can give you like 20 different 

409
00:23:04,000 --> 00:23:08,000
ideas and seconds where is like,
yes, I have a resource library 

410
00:23:08,000 --> 00:23:11,840
of probably like 10 to 15 
different recipes, but I like to

411
00:23:11,840 --> 00:23:14,760
use AI for a lot of like meal 
inspiration myself as well. 

412
00:23:14,760 --> 00:23:18,400
So that's where you can have 
both of those things supporting 

413
00:23:18,400 --> 00:23:20,240
you along the way. 
And then you can continue to 

414
00:23:20,240 --> 00:23:24,000
just use AI for any of those 
like meal planning or like 

415
00:23:24,000 --> 00:23:27,760
specifics of like, hey, I find 
myself hungry in the afternoon. 

416
00:23:27,760 --> 00:23:31,440
I could really use some snack 
ideas, some products to buy that

417
00:23:31,440 --> 00:23:36,120
are 1015 grams of protein, maybe
a little bit of carbs in there, 

418
00:23:36,320 --> 00:23:40,680
something that's shelf stable 
that I can throw in my my gym 

419
00:23:40,680 --> 00:23:46,080
bag when I am like heading to, 
you know, heading home from work

420
00:23:46,080 --> 00:23:49,440
kind of thing. 
Just offering it as much context

421
00:23:49,440 --> 00:23:51,200
as possible. 
And then it's not like you have 

422
00:23:51,200 --> 00:23:53,720
to use every single idea. 
You can just cherry pick one of 

423
00:23:53,720 --> 00:23:56,320
your like a couple of your 
favorite ideas and give those a 

424
00:23:56,320 --> 00:23:58,000
try. 
And if you don't like them, you 

425
00:23:58,000 --> 00:24:00,840
just kind of go back to the 
drawing board in terms of ideas 

426
00:24:00,840 --> 00:24:03,280
and inspiration. 
I like that. 

427
00:24:03,280 --> 00:24:05,800
I like that because I mean it's 
really exactly what it does. 

428
00:24:05,800 --> 00:24:08,840
It gives you stuff in volume and
stuff that you might not think 

429
00:24:08,840 --> 00:24:11,520
about and you can maybe input 
food allergies. 

430
00:24:12,320 --> 00:24:15,200
Obviously, again, take it with a
grain of salt because you're a 

431
00:24:15,200 --> 00:24:18,000
client that has gout didn't 
benefit from that. 

432
00:24:18,680 --> 00:24:21,640
Yeah, yeah, exactly. 
So do not use it for medical 

433
00:24:21,640 --> 00:24:23,640
advice. 
I think that's pretty common 

434
00:24:23,640 --> 00:24:27,360
sense, but I still tend to see 
people all the time using it. 

435
00:24:28,480 --> 00:24:33,880
Even if you have especially like
GI disorders or it'd be 

436
00:24:33,880 --> 00:24:36,920
different if you were like, oh, 
I have celiac disease. 

437
00:24:36,920 --> 00:24:40,520
I can't have gluten. 
Can you give me some gluten free

438
00:24:40,520 --> 00:24:43,120
carb ideas? 
I'm short on carbs at lunch. 

439
00:24:43,120 --> 00:24:47,800
Can you give me some ideas there
of things like, and for me, like

440
00:24:47,800 --> 00:24:49,640
as a sports tactician, I'm 
always like, do you have a 

441
00:24:49,640 --> 00:24:51,080
Costco membership? 
Oh, OK. 

442
00:24:51,080 --> 00:24:53,360
Like you need to go and try out 
the seeds of change. 

443
00:24:53,360 --> 00:24:58,680
It's like this brown rice quinoa
blend in garlic. 

444
00:24:59,000 --> 00:25:01,680
You microwave it. 
It's super great to like to take

445
00:25:01,680 --> 00:25:03,760
with you to work if you have a 
microwave at work. 

446
00:25:03,760 --> 00:25:07,480
Like it's delicious and I love 
it next to like a Caesar salad 

447
00:25:08,840 --> 00:25:11,080
with some like Costco rotisserie
chicken on it. 

448
00:25:11,080 --> 00:25:13,080
It's like one of my favorite 
like quick and easy meals, like 

449
00:25:13,320 --> 00:25:15,640
those types of things. 
I feel like as a sports 

450
00:25:15,640 --> 00:25:18,680
politician, like I know it's at 
at most of the stores, you know,

451
00:25:18,680 --> 00:25:21,920
like Costco and those tips 
things I'm like, go look for 

452
00:25:21,920 --> 00:25:23,640
this. 
I don't like one of them that I 

453
00:25:23,640 --> 00:25:26,040
just got the other day was like 
this crunchy roasted, like 

454
00:25:26,040 --> 00:25:30,200
adamame, like the only beans, 
like it's 14 grams of fiber per 

455
00:25:30,200 --> 00:25:34,160
third cup and there's or not 
fiber, 6 grams of fiber, 14 

456
00:25:34,160 --> 00:25:37,320
grams of protein and like super 
filling. 

457
00:25:37,320 --> 00:25:39,280
It just makes a really nice 
snack to like keep in your 

458
00:25:39,280 --> 00:25:40,800
office. 
If you're feeling a little like 

459
00:25:40,800 --> 00:25:42,720
you need a little something 
crunchy and munchy. 

460
00:25:43,600 --> 00:25:45,600
Like those work really well as 
like a snack. 

461
00:25:45,600 --> 00:25:48,960
So like those things that are 
just like available every once 

462
00:25:48,960 --> 00:25:52,240
in a while, like at Costco is 
like one of my favorite things 

463
00:25:52,240 --> 00:25:54,240
to share with athletes. 
Nice. 

464
00:25:54,240 --> 00:26:00,360
OK. 
Yeah. 

465
00:26:00,360 --> 00:26:02,880
So I guess my next question 
would be more kind of towards 

466
00:26:02,880 --> 00:26:06,560
your practice because, you know,
I kind of briefly talked about 

467
00:26:06,560 --> 00:26:10,720
it before recording, but how we 
implement AI into what we do. 

468
00:26:10,880 --> 00:26:13,200
And we know that one of AI 
strengths is pattern 

469
00:26:13,200 --> 00:26:15,920
recognition. 
How can you as a sports 

470
00:26:15,920 --> 00:26:21,600
statistician use that as a tool 
to help you figure out patterns?

471
00:26:21,600 --> 00:26:25,000
And you know what? 
You can do better as a 

472
00:26:25,040 --> 00:26:29,080
nutritionist as well. 
Oh, that's a good idea. 

473
00:26:29,080 --> 00:26:31,920
I don't know if I've ever 
necessarily used it for 

474
00:26:31,920 --> 00:26:35,640
patterns. 
I use it like within my business

475
00:26:35,640 --> 00:26:39,360
in terms of like, hey, and I'll 
just give an example. 

476
00:26:39,360 --> 00:26:43,720
So I was working on an Instagram
like kind of a goofy funny video

477
00:26:43,720 --> 00:26:48,160
where it was like I was reacting
to hearing something kind of 

478
00:26:48,160 --> 00:26:50,960
like shocking that like an 
athlete would tell me. 

479
00:26:50,960 --> 00:26:56,240
And so it gave me I like typed 
into to AII was like, Hey, I'm 

480
00:26:56,240 --> 00:26:58,920
looking for something that would
make a sports psychician just go

481
00:26:58,920 --> 00:27:02,080
like, and it gave me a whole 
bunch of ideas. 

482
00:27:02,080 --> 00:27:06,000
And the one I saw was athletes 
saying that they're trying to 

483
00:27:06,000 --> 00:27:10,040
train their body to fuel with 
less, right? 

484
00:27:10,040 --> 00:27:12,120
And I was like, Oh, that's a 
good one because that would 

485
00:27:12,120 --> 00:27:14,560
totally just shock me if someone
said that to me because it's not

486
00:27:14,560 --> 00:27:17,560
a thing, right? 
Like you're basically training 

487
00:27:17,560 --> 00:27:22,120
your body to like slow down and 
get slower and have less energy.

488
00:27:23,000 --> 00:27:24,640
That's basically what you're 
trying to do there. 

489
00:27:24,640 --> 00:27:29,040
And your body doesn't adapt to 
exercising with less fuel. 

490
00:27:29,040 --> 00:27:32,560
It just will slow you down in 
order to get through the 

491
00:27:32,560 --> 00:27:35,280
workout. 
And so I was able to put 

492
00:27:35,280 --> 00:27:38,640
together like a little caption 
to provide more context and just

493
00:27:38,640 --> 00:27:42,720
like give that inspiration to 
athletes that are out there on 

494
00:27:42,720 --> 00:27:45,600
Instagram of like, hey, this is 
not a thing like you need to 

495
00:27:45,600 --> 00:27:49,520
fuel and you need to, if you 
want to get faster, you got to 

496
00:27:49,520 --> 00:27:51,680
put in more energy to support 
that. 

497
00:27:52,720 --> 00:27:54,320
Yeah, I know that that does make
sense. 

498
00:27:54,440 --> 00:27:58,080
And I guess that kind of give 
brings us back full circle, 

499
00:27:58,080 --> 00:27:59,520
right? 
Because we have all this 

500
00:27:59,520 --> 00:28:01,880
technology and we want to take 
advantage of it as much as we 

501
00:28:01,880 --> 00:28:03,840
can. 
But then I don't think we're 

502
00:28:03,840 --> 00:28:06,240
quite there yet. 
And I don't know if we ever can 

503
00:28:06,240 --> 00:28:11,320
be because of the fact that AI 
cannot read our emotions. 

504
00:28:11,320 --> 00:28:13,960
You know what you're saying 
earlier about somebody not being

505
00:28:13,960 --> 00:28:16,720
triggered by stuff. 
You can tell AI I'm a person 

506
00:28:16,720 --> 00:28:20,040
with an eating disorder, but is 
it really going to tell you OK, 

507
00:28:20,040 --> 00:28:25,720
don't own a scale or, you know, 
don't obsess with logging versus

508
00:28:25,720 --> 00:28:27,880
you as a dietitian, you can 
definitely help with that. 

509
00:28:28,400 --> 00:28:31,680
Yeah, it's one thing to like be 
told something, but it's another

510
00:28:31,680 --> 00:28:34,360
thing to actually practice it. 
And sometimes having that 

511
00:28:34,360 --> 00:28:38,520
accountability by working with a
professional is really important

512
00:28:38,520 --> 00:28:44,120
to just have that human touch of
like empathy and understanding 

513
00:28:44,120 --> 00:28:47,520
and like, hey, I'm here to 
support you and help you reach 

514
00:28:47,520 --> 00:28:49,400
your goals. 
And so let's put together a plan

515
00:28:49,400 --> 00:28:51,760
of how we can do that. 
Yeah, yeah. 

516
00:28:51,760 --> 00:28:53,840
Perfect. 
Well, thank you, Alex, so much 

517
00:28:53,840 --> 00:28:56,400
for speaking with us. 
And for our listeners that are 

518
00:28:56,640 --> 00:28:59,680
interested in hearing more about
you and learning more about your

519
00:28:59,680 --> 00:29:02,280
programs, perhaps you can let us
know how they can get in touch 

520
00:29:02,280 --> 00:29:05,440
with you. 
Yes, on social channels, I'm at 

521
00:29:05,440 --> 00:29:08,240
Alex Larson Nutrition and then 
my website is Alex Larson 

522
00:29:08,240 --> 00:29:10,840
nutrition.com. 
I also have a podcast as well. 

523
00:29:10,840 --> 00:29:13,200
It's called Endurance Eats, so I
cover all sorts of different 

524
00:29:13,200 --> 00:29:14,960
endurance nutrition topics on 
there. 

525
00:29:15,440 --> 00:29:16,920
Perfect. 
Thank you so much. 

526
00:29:17,280 --> 00:29:18,040
Yeah. 
Thank you. 

527
00:29:23,040 --> 00:29:27,000
All right, thank you, Alex for 
coming back onto my podcast and 

528
00:29:27,000 --> 00:29:30,600
speaking to me about this topic.
That was very informative and 

529
00:29:30,600 --> 00:29:32,960
had a great conversation. 
Again, thank you. 

530
00:29:33,200 --> 00:29:35,400
And for all of you that are 
listening and still here, thank 

531
00:29:35,400 --> 00:29:38,200
you so much for tuning. 
And I hope this topic helped you

532
00:29:38,200 --> 00:29:42,760
guys figure out what is best for
your own life and how to do 

533
00:29:43,200 --> 00:29:46,640
that, how to navigate through 
figuring out nutrition. 

534
00:29:46,640 --> 00:29:48,640
Because again, it's one of those
things you can't see. 

535
00:29:48,680 --> 00:29:50,640
You don't know what's going on 
in our bodies. 

536
00:29:50,800 --> 00:29:55,480
We don't have a fueling button 
or a fueling light, right when 

537
00:29:55,480 --> 00:29:58,320
our car goes low on fuel, the 
light comes on and you can kind 

538
00:29:58,320 --> 00:29:59,680
of tell how many miles you've 
got left. 

539
00:29:59,920 --> 00:30:02,200
I wish we had that for us as 
humans. 

540
00:30:02,200 --> 00:30:07,200
And who knows, maybe one day we 
will and it'll be on display how

541
00:30:07,200 --> 00:30:11,360
much a person needs to eat and 
we can help each other. 

542
00:30:11,440 --> 00:30:13,800
Anyway, thank you so much for 
tuning in. 

543
00:30:13,960 --> 00:30:16,200
And until next time, have a 
great week of running. 

544
00:30:18,720 --> 00:30:20,760
You've been listening to the 
Marathon Running Podcast by 

545
00:30:20,760 --> 00:30:23,560
Marathon Journal. 
If you've enjoyed the show, 

546
00:30:23,560 --> 00:30:26,560
check us out at 
marathonjournal.com or follow us

547
00:30:26,560 --> 00:30:28,520
on social media. 
Happy training.

