Stop Generating, Start Thinking with Kevin Henrikson
38 min
•Dec 2, 20255 months agoSummary
Kevin Henrikson, a founder and former engineering leader at Microsoft and Instacart, discusses how AI tools are creating a productivity paradox—generating endless outputs without meaningful thinking. He argues the solution isn't more AI tools but rather protecting time for deep work, and shares his philosophy on focus, parenting in the digital age, and building a healthcare AI startup that augments rather than replaces human expertise.
Insights
- AI productivity tools create a decision crisis, not a productivity crisis—multiple AI-generated outputs increase confusion rather than clarity
- Deep work and thinking time are increasingly rare and valuable; successful leaders actively protect unscheduled blocks and permit themselves to disconnect
- AI should augment human expertise in complex domains like healthcare by handling repetitive tasks, freeing professionals to focus on high-value human interactions
- Children need real-world experience and failure to develop resilience and self-modulation; over-protection from technology paradoxically makes them less prepared
- Legacy systems and organizational inertia, not worker resistance, are the primary barriers to AI adoption in traditional industries like healthcare
Trends
Shift from AI as replacement technology to AI as augmentation layer for human expertiseGrowing recognition that constant connectivity and tool proliferation reduce decision-making qualityHealthcare moving toward direct-to-consumer health monitoring and personalized data stacks outside traditional medical systemsParenting philosophy shifting from helicopter parenting and digital restriction to graduated autonomy and real-world skill-buildingVoice AI and real-time conversational AI becoming critical for customer-facing applications due to latency requirementsShort-term software contracts and trial-based adoption replacing multi-year enterprise licensing agreementsAmbient AI and clinical documentation automation becoming standard in healthcare workflowsGig economy and contractor models informing how organizations decompose complex tasks for AI and human workers
Topics
AI productivity paradox and decision fatigueDeep work and focus management strategiesHealthcare AI and clinical intelligence platformsVoice AI and real-time conversational systemsAI adoption barriers in legacy organizationsParenting and digital literacy in the AI eraPersonal health data aggregation and direct-to-consumer healthcareSleep optimization and biometric trackingAI in education and learning outcomesGig economy and task decompositionLegacy system modernization challengesMulti-year software contracts and vendor lock-inClinical documentation and ambient listeningInsurance billing and healthcare operations automationFounder mindset and builder culture
Companies
Microsoft
Kevin Henrikson scaled engineering teams at Microsoft before joining Instacart
Instacart
Kevin served as engineering leader at Instacart, scaling teams and implementing gig worker support models
Zimbra
Early startup where Kevin did developer relations; demoed at 2005 hacker house event; later acquired
Yahoo
Acquired Flickr, the photo sharing platform where Cal Newport posted pictures from the 2005 Zimbra demo
Flickr
Photo sharing platform where Cal Newport posted images from 2005 hacker house event; later acquired by Yahoo
Tesla
Kevin uses multiple Tesla vehicles with autonomous driving features as part of his personal tech stack
OpenAI
ChatGPT is referenced as primary AI tool Kevin uses for research, proposals, and personal queries
Function Health
Direct-to-consumer health testing service Kevin uses for blood work and health data collection
Ezra
AI-powered MRI scanning service for preventative health screening; Kevin uses for full-body imaging
Oura
Wearable ring for sleep and activity tracking; Kevin's preferred biometric tracking device
WHOOP
Fitness wearable for activity and sleep tracking; Kevin wears alongside Oura for data correlation
Apple
Apple Watch used for activity tracking and sleep monitoring; part of Kevin's multi-device health stack
Upwork
Freelance platform referenced as example of gig economy model informing AI task decomposition
Guava
iOS health app that aggregates blood tests and tracker data with AI-powered health recommendations
Forward
Healthcare company that created Torch, an AI health platform integrating medical and tracker data
Torch
AI health platform by Forward team providing comprehensive health scoring and recommendations
Comcast
Referenced as legacy phone system provider for medical practices; represents outdated healthcare IT infrastructure
People
Kevin Henrikson
Founder and former engineering leader at Microsoft and Instacart; building healthcare AI startup; episode guest
Paul Estes
Host of Expert Intelligence podcast; interviewer conducting conversation with Kevin Henrikson
Cal Newport
Productivity author who photographed Kevin's 2005 Zimbra demo at hacker house; posted images to Flickr
David Weakley
Hosted the 2005 Super Happy Dev House in Hillsborough where Kevin demoed Zimbra; tech executive and pilot
Quotes
"AI promised to make us productive. Instead, we're drowning in outputs with real progress flatlining."
Paul Estes•Opening segment
"You kind of need to create that ability for yourself or give yourself permission to sort of have a car accident periodically where you're like, I just need two days to like think about stuff."
Kevin Henrikson•Mid-episode
"The solution isn't another AI tool. It isn't a perfectly engineered prompt. It's learning when to stop generating and when to start thinking."
Paul Estes•Opening segment
"I think the early versions and even sort of the current versions of AI are a lower skilled worker—they have things that they do really well and are rote, they have a lot of things that higher level thinking that they're not good at."
Kevin Henrikson•Healthcare AI discussion
"We're not in a productivity crisis. We're in a decision crisis. Five versions of the same document don't make you more productive. It makes you more confused."
Paul Estes•Closing segment
Full Transcript
If you were in a car accident today or tomorrow, and you're like, man, I've got to go to the hospital and be out of touch for three days, you would just have to cancel all your meetings. And people would understand. And I'm like, you kind of need to create that ability for yourself or give yourself permission to sort of have a car accident periodically where you're like, I just need two days to like think about stuff. Picture this. You open up a new AI conversation and prompt your way to five new versions of the same document. Even after reading every one of them, you end up more confused than where you started. AI promised to make us productive. Instead, we're drowning in outputs with real progress flatlining. Today's guest is a founder who's built and sold companies for hundreds of millions of dollars. He scaled engineering teams at companies like Microsoft and Instacart, and now he's calling bullshit on the productivity myth we've all been sold. The solution isn't another AI tool. It isn't a perfectly engineered prompt. It's learning when to stop generating and when to start thinking. Kevin, welcome to the show. Thanks, Paul. I appreciate you having me. So I want to get your insights on AI chaos. There's a story you wrote from 2005 when you presented Zimbra at the super happy dev house. And I watched the video and it's you like late at night, super dark. I'm sure somebody's holding a camcorder. Yeah. First, like what's a hacker house like in 2005? Dude, it's crazy. So yeah, there was this guy, David Weakley. He's still like this big exec at a bunch of tech companies here, also a pilot. So we've connected through pilot forums, you know, reconnected 20 years later. But yeah, he had had this house in Hillsborough. And it just started with kind of like friends coming over and writing code, talking about what was going on in the internet. Again, this is like pre sort of mobile wave, pre all the things. It was like just the early days of kind of Web2, JavaScript, those kind of things where we were starting to do some more dynamic web apps. And people were just hacking around with that and blogging. And so the hack, it was literally like this, just a bunch of kind of smart people getting together, working on things and then sharing their projects. And part of that was some of them were startups. Some weren't even companies. They were literally just ideas. You would kind of go in there and work on your thing and show people what you're working on and how you're integrating with something. And it was this, there was this word mashup where people had sort of figured out that you could use JavaScript to connect different applications. And so you could write a web page and have it connect to other web pages through this kind of like really early days of APIs and early days of JavaScript. And so that was kind of what kicked it off. And a lot of people were working in that mode. But we were working on Zimbra. It was a small startup at the time. And I was kind of doing developer relations. And I kind of went to this house to kind of like look for people to integrate with us and kind of see what we were building and show some of the stuff that we had done. And then ended up there. It's like, hey, there's a demo. And I'm like, cool. I'll just throw my name on it. and yeah, ended up demoing. And like I said, you saw the projectors kind of essentially somebody grabbing a phone in the back and taking pictures. And it was Cal Newport actually, which is crazy. He's wrote a bunch of famous books on productivity now that was taking most of those pictures and posting them to a website called Flickr, which Yahoo ended up acquiring. And yeah, so kind of a crazy blast in the past. If you look back, what made you a builder? Like what motivated you to go to a hacker house? Like what is it in Kevin that makes him wake up every day and build this stuff? Yeah, I mean, I've just crazy curiosity. I mean, even when I grew up, I grew up on a pig farm and I would just go outside and work on things. And my mom always used to joke that you would spend more time working on stuff than actually using it. So I'd spend a week trying to fix this go-kart, ride it for 10 minutes, wreck it, break it, whatever, and then spend another three weeks putting it back together, reassembling it, changing engines, taking an engine off a lawnmower to rebuild it. And so I always just had this curiosity of how things worked. and I think when you do that with mechanical stuff there's a certain speed to it and then with digital and internet it just went so much faster that you could just build and do so many things and so yeah the Zimber thing was like man I was just curious where other builders were and like wanted to go see what they were doing and quite frankly was trying to kind of be like a marketer in disguise like kind of had this sales angle of like hey if I could get more people using our stuff then that would be better it was this whole open source movement back then where everybody was like building in public and things like that and more in the open source way and not in the like building in public marketing way and Twitter way, which people talk about today. And so, yeah, it was just curiosity combined with like an interest to show people cool stuff and have engaging conversations. You know, AI is everywhere and building is fast. I mean, it's accelerating more and more. What's changed and what stayed the same? Yeah. So for me, I mean, if anything, the curiosity is kind of like cranked it up. Like, I mean, right now I can look at my browser. I've got four chat GPT tabs and two Manus windows, and probably three of those are active. Like they're just running on stuff that I keep giving it. And so like you're constantly nudging prompts. And so I think the idea of being able to hyper paralyze your ideas and thoughts and sort of become curious and get a way more synthesized view and learn things just way faster. So like in one tab, for example I'm asking about some company we're looking at in another tab crafting like a proposal to sort of understand like how we're going to go re-architect one of our features and then in a couple others I'm like asking about like my diet for this week I'm like what am I going to change what I'm going to eat and like I was like no there's nothing in the fridge I'm like man what should I get for food and then so I like I just ripped off a tab I'm like hey what should we order this week and so to me that sort of hasn't changed the curiosity but what has changed is the ability to sort of like unbridled sort of energy where you can just keep asking questions at nauseam. But I think, you know, sort of to the post and what we had talked about was that like, because of that, you end up with a lot of, you know, scattered ideas. And so you need to find time to say, okay, let me sit down and be calm and synthesize. And I was telling a buddy of mine once, I had this idea where, you know, most of my cars are Teslas and they're all connected. And I walk out with my phone and I drive it and I push the button and it auto drives me. And it's like, you know, all the AI, everything. and one day I have one car that's like a hybrid kind of a gas car essentially and so I walked out there and I just literally had the key no wallet no phone no no I had taken off all my trackers and they were charging so like none of my connected I was literally kind of naked in the in the like digital sense I literally just had the physical key to unlock this car and I'm like oh I'm just gonna run down and grab something from the store and I got out of the car and I was like you know didn't have my phone and I was like kind of oh that's weird and I'm like oh I don't have my watch and there was this first sense of panic. Like I lost my like sort of pulse. But then as I started walking around the store, I was like, holy shit, this is kind of amazing. Like there's this level of calmness of like, this is what it's like to not be sort of like constantly jacked into the internet and with multiple devices syncing. And I've done this twice now where we have the team or do a dinner and be like, hey, everybody just take off all your devices. Just like literally a device-free sort of environment. And it completely changes it. It like brings the humanness back to things. And so I think that part of it is, you know, what's changed, but also probably has some negative connotations of like the fact that we're always just jacked into like the internet in real time. It reminds me of walking into a lunch and learn. It must have been a long time ago. And there was this founder at the startup that Microsoft had just purchased. And he was going to teach people what it was like to be an entrepreneur. And like, I still remember like it was yesterday. And you put up this slide that showed your calendar. It was just a screenshot of your calendar. I said, on Mondays, I have a team meeting and on Friday. And the rest of it was blank. Tell me about focus. In a world where we're always distracted, to your point, and always like, if you want to be successful, you've got to hustle and grind. Tell me about your philosophy around focused and how you think about productivity. Because that, to this day, still sticks with me. Yeah. And it's funny because my thinking on this continues to evolve. How do I do efficiency? How do I, like, delegate all these things? And what's funny is like when I think back, like before that talk, I was the like code late at night, sleep under your desk kind of model in my 20s. And then my 30s got a little smarter. And now in my 40s, the biggest unmovable meeting every day on my calendar is sleep. It says 8 p.m. go to sleep, 5 a.m. wake up or 4 a.m. wake up, depending on the day. When I travel, that moves. And so I know like I'm on East Coast, in Asia, like in Europe, I move that, my admins move that sleep blocker. And it's like, no, no, I just don't compromise on the sleep thing. And it's like, if it's going to be out late, I'm just not going to do it. I'm going to go home and sleep. And so I think the calendar day time, I think I've adjusted. And so like, I still have these free time blocks. And I joke, if you were in a car accident today or tomorrow, and you're like, man, I've got to go to the hospital and be out of like touch for three days, you would just have to cancel all your meetings. Like, and you would be like, and people would understand. And I'm like, you kind of need to create that ability sort of for yourself or give yourself permission to sort of have a car accident periodically where you're like, I just need two days to like think about stuff. And that to me is like still something that's pretty powerful. I try to build in blocks of that every week and then periodically take like a couple of days where you're like, Hey, I'm just going to do nothing. And it's weird now. Cause I have like a sales calendar for some of the stuff that we're selling. And I let people book meetings on Saturdays and Sundays. And surprisingly people will book them in the mornings, but then, you know, I'm like, okay, if that's a good time for them, I'll take those meetings. And then I'm just not going to work Tuesdays. Like, you know, you know, I sort of like trade it off where it's like, you can't do the nine nine six thing that we talk about you know these people that are working nine nine to nine six days a week And I like yeah you just not as effective in the last hour of that nine to six sort of schedule We both have kids You know I watch them kind of navigate the world I sure you do And you look at the distraction and the technology and everything, similar to your trade-offs and your sleep and those sort of frameworks. What are some of the things you're implementing at home? It's interesting because when the kids were really young, like they were all sort of the iPad generation, right? My daughter knew how to use an iPad at two years old. She's now, she just turned 16, the youngest. COVID changed this because I saw a lot of kids struggle with COVID coming out of that, kind of leaving high school, going to college and not having sort of a transition of like, what does life look like and going to COVID and into these things and not learning the life skills. And so my rules with her are actually pretty loose. Like I'm like, you know, what time should you be at? I'm like, you tell me. And then, you know, have her using things like Lyft and Uber early. She uses those those on her own now. And I think the other thing that's interesting is the phone stuff is like you can take the phone away and lock them out of their digital footprint. But then they go to college and then then you're like, OK, wait a minute now, like you never knew how to like self-modulate on the phone. So I'm kind of like, let it go. And if you sleep into school or you sleep through your class, it's better to learn that in high school where you have the guardrails of people kind of watching you for in college, if you sleep through a bunch of casts and miss it, nobody's going to call you. Right. And so I think that's one thing where I've kind of arguably let the boundaries out in the sense that like, if I thought of when I was a kid, I was driving tractors at nine years old, like, you know, on a farm and like, there was no rules. Like I'd go out and just fire the welder up and arc the thing and be like, wow, that, that didn't work. And like, I have to go fix it. Most city kids don't have those experiences today because they're not in that physical world that their devices are thing. And I think the other one that this is controversial I think it sometimes but I'm very very strict I'm making sure that kids drive I've seen a lot of teenagers make it all the way through high school and some into college and never get a driver's license because they don't need it right they're either at a walkable location they're getting rides from their friends they're using Lyft and Uber and again like there's ones that just barely get the driver's license and never use it and there's ones that don't get it And I think both of those lack confidence to actually navigate the world in a way that I think is going to be required. And so that's one thing that I'm very hard on. Like, you got to get your driver's license right away and you got to go drive. You have a permit now. I don't drive anymore. You want to go somewhere? I'm like, great, grab the keys. Let's go downstairs. I'll sit in the passenger seat and we'll drive you and we'll go. And then that's it. And she's like, well, I don't feel like driving. That's cool. And we're not, I don't feel like going. Because that's real life. And I think my view is that now she's through that hump and she's like about to get, you know, going to take her driver's test in a few weeks. And so I think to me, the kid thing is like almost going back in a weird way to our parents and not helicoptering and not giving them over protections because it's just too easy to like track everything what they're doing on their phone. And I used to block everything in the early days. And now I'm like, what's the point? Like at some point, you know, when she's 18, she can just clear the like Apple protector and she's free to go. And I'm like, well, why don't we let that happen when she's 16 or 15 and kind of figure out what her boundaries are and understand that self-modulation. So I think driving and sort of releasing those sort of like really strict rules. And again, you know, every kid's different. Like people have different abilities to sort of self-navigate. And I'm sure there's people listening that are like, dude, you're insane. My kid wouldn't be able to do that. Great. Then that's a personal thing. But I think my personal thing is like, look, we should start to simulate college. It's like, I don't do your laundry. I don't cook your food. Hey, the food's in the fridge. What do you want to order? We'll go to the store together. In fact, you'll drive me to the store. We'll buy the things and come back and, you know, we can cook it. because I think a lot of that teaches a set of resilience that if you end up in college and you're like only no way to get food is to click DoorDash or buy Lyft or Uber to go to a restaurant like I'm like or go to the mall right it's just so easy to go to the mall and have 20 things to pick from and I'm like yeah that works but that's not real life like it's you're gonna have to figure things out and same thing having them travel alone go to airports flying in different you've got to learn those things and I'd much rather learn that where there is sort of the protective of the home that, hey, eventually you are going to end up in a bed and back at home with your parents versus, yeah, I think learning that for the first time in college is a lot trickier. And partly because kids are way less prepared with real life than, man, I was debating with other farmers that are 60, 70 years old as like a 15 year old in high school. Like, cause that's just the way it was. Like I would drive the truck over, load up two tons of corn, negotiate the rate, figure out the thing. Oh, you don't have this feed, go get this silage. And like, again, useless sort of like metrics of knowing how much soybean to mix with how much corn and real Vista, but knowing how to go drive over, connect to the person, figure out where they are, make that discussion and be able to look in their face and talk to them eye to eye, shake their hand. Like a lot of kids can't do that today. And I think because of that, it's like, man, I'm like, well, let's let them go interface with the world. Right. So that's my view. That lesson could almost be told to people that are well older than 16 these days. If you go back to your comment around AI and just the overwhelming nature of the information that the chatbots give us today, especially when kids are learning, you have a 16-year-old and even younger, and they're learning skills that are not about, I wrote the paper and I got a grade on the paper. It's about the act of learning. What are you coaching parents on or kids on around how and when to use AI? So you don't atrophy that learning or that like ability to navigate the world. It's a good one. I think, and it's funny because my daughter's school is pretty progressive in the Bay area here. And they're very anti AI. Okay. You can use AI for like, they have, they have like a very, almost like a rubric of when you can use AI and when you can't. And it's pretty good. It's like, Hey, you can use it for research. Cause my thing is I liken it to construction where if you want to build your first house, like, yeah, it's probably good to drive your first hammer and nails and, and, you know, do that with a hammer and a nail before they give you the nail gun. but more than likely a new journeyman contractor joining a construction site today on their first day would be issued a hammer and some nails but also would be issued a nail gun like they're not going to be like no no for the first year we only want you to do hammer and nail like the old school way like no they're going to like hey you have that but you're going to start using the nail gun pretty quickly and so my view with ai and kids is like i think you're going to be behind it'd be like saying my parents even though like when i was a kid it was like modems and like very early internet and like kind of BBSs and things like that would have said, Oh, no, you're not allowed to use a computer or a calculator. You need to learn it to do it all by hand. And my parents were quite the opposite. They're like, I don't know how to use these computers. Here's a computer, go figure it out. You should go learn it. Cause that's a cool tool that I think people in the world are going to need. And grateful for my parents for doing that. And my dad in particular pushing us there. And so I think today, like I'm always encouraging my daughter to ask chat, like, what do you think? Like, what would chat say? Like, push yourself to go find those questions. don't ask me, right? Like learn to use the resources that are available. And again, same reason they would want to use Google maps. Like we had Thomas guides when I was growing up, you had the fricking big old thing, J seven page 52. And like, our kids will never learn that. I don't think they have to, like, they kind of are self-aware of their area and just trust and know that GPS is there. And so I think a lot of that with AI, like if you're not using it, I think you're going to fall behind. But I also agree that like going in every day and dumping in all of your homework into chat gpt and saying just give me the answer is probably also not the right solution so i think it's honestly just educating about those same boundaries like when you shouldn't and shouldn't use these tools just like you know we had to burn our hands when we were kids on like oh stove is hot like how do you figure that out there's a much more nuanced sort of stoves hot with today's modern tech but i don't think you can learn that by being told not to use it it's like never use the stove is actually never gonna like you're not gonna learn the lesson it's like no use the stove. Here's a few guardrails, but you're going to kind of have to figure out what kind of pot you can grab the handle by and what kind of pot you need to go get a mitten for, like looking at it and like, does it have a plastic handle or is that a metal handle that can, you know, some of these things you just got to learn to kind of build your own perception for. And I think the other thing is kids need to also build perception for what's fake in the world, like, you know, deep fakes and deep voices and like the recognizing being human is a skill that's hard. And I think, you know, both older people struggle with this. I mean, so many people have been faked by the calls, you know, my mom getting a voice faked of me saying, Hey, Kevin needs something, you know, those kinds of like scammer calls, right? Like, so I do think that kids need to experience that because just sheltering them from the tech is actually going to make it worse. And they're, and at some point they're going to like, that sheltering is going to go away. And then they're going to be faced with a pretty raw reality. It reminds me of this, a study that was once done about how school playgrounds have gotten too safe. and like helicopter parenting. And it showed that, hey, actually kids are getting more injured because we've made the world too safe. And so I've actually did the same experiment with my daughter who wanted to use chat for a school thing. I let her do it. And then she started to represent information that was wrong. It was like a learning moment. Like you have to let kids go through this and fail and be like, you just said something that wasn't true. Now let's go and have a conversation about what's true in the world and the importance of knowing what's true and what's not. Yeah. And being able to like cross check and validate like what you read is actually fiction or nonfiction, right? Like just like a reading a book in the library, you can go to book today and be like, I don't know what section I got it from. Did I get it from the fiction section or the nonfiction? Like, and you know, how deep are you believing some Stephen King stuff versus like, oh, that's all fiction. Oh wait, that's nonfiction. Okay. You wrote an article once you were talking about your nutrition plan about health and just the health stack in general I wear an Oura ring I have Function Health I have a lot of the different services I'm finding myself piecing together my own healthcare because it's affordable to go direct and the information that you get is really helpful. And now you're working on a startup in healthcare. Healthcare is a highly regulated space, it's big, it's expensive, it's complicated. what are you seeing in that space and what's encouraging you to go spend your time and energy in healthcare yeah it's a good question i think two parts so i think one on the consumer side there the tools are available to sort of like do your own version of concierge medicine today and like it is relatively inexpensive for most people what is kevin's personal concierge medicine stack if i wanted to go and mimic it what are you using so i've had the really expensive like five figure you know tens of thousands of dollars concierge doctors in the past but i don't use it anymore i think what i do now is literally sleep is the first one so like some version of aura ring whoop and apple watch i wear all three because i'm crazy and i like to correlate the data and so i'm probably you know not normal in that sense but literally any one of them and so like if i had to pick one i think aura is the simplest and the best it's the coolest form factor it's this ring it just sits on your hand the downside is when you pick things up or do weights or any kind of gym workout, you kind of got to take it off. And then so it's like, well, the whoops better for that. And so I kind of wear both for that reason. Apple watch is just cool. The problem is Apple watch battery only lasts a day or two. So like, you know, you got to charge it more often. So I think that's the like, Hey, tracking my activity and my sleep. Those are kind of the two things you get from those. And all of those have some version of sleep. And even the newest Apple watch stuff has great sleep. So it's like sleep and activity, right? Pretty good, right? You want to sleep well, and you want to move, right? Kind of the classic rings. If you think of the Apple Watch. Apple Fitness has three things. It's like, did you stand? Did you move? And are you actually actively exercising? I think sleep is the other sort of big one that I would track. So that's like the day-to-day. Like, are you sort of doing something? Are you improving? Do you know how much you're sleeping? And then the other one is sort of inside your body, right? The cheap version is like you said, there's function health. There's a lot of things that are like 100 to 500 bucks a year. You can get enough blood tests to give you a lot of good data that's directionally going to tell you, like, do you have some issues that are worth following up on? I think the next level up and function now has a relatively, they bought a company called Ezra. It was, there was a really expensive one in the Bay Area called Pronovo. Ezra was also very expensive. I'm getting my first Ezra MRI in a month. Incredible. Yeah. So I've had multiple Pronovos, multiple Ezras, and they're really interesting. I think the cost is pretty affordable. It's like down to four or 500 bucks now for the basic one. And I think the only caveat that I've heard people complain about is that like, it does cause false positives. And I've heard both providers care about it where like I show up with my report and I'm like, Hey, I want you to check these three shadows, right? In this MRI. And the guy's like, Oh, you're like one of those Ezra guy. You can just see they're kind of annoyed because they're like, why did you get a referral for cancer in your lungs? And I'm like, dude, I'd rather you check it out and tell me if I have hay fever or if I had cancer like that's. And so then they run a second scan and they're like, you're fine. Cause you, you know, you have two scans you can compare. You're like, that was temporary. So I think that's the only downside is that there will cause you some moments of panic, but I'd much prefer a few moments of panic and a little bit of investigative reporting than to not know. That's the basic stack of like, hey, something to scan your blood, something to sort of scan your sort of insides with one of these MRIs or CTs, and then just day-to-day tracking your sleep and health. And honestly, like, man, that's kind of the 90-10. People would say it's 80-20, it's the 90-10, and then just eat well. And then the cool thing is you take a week or two of that data and drop it into a ChatGPT project and be like, hey, here's my data. What should I do different to improve? And you don't have to say like, go make me perfect. Just be like, here's my baseline. Here's my goals. I want to lose weight. I want to have more energy. I want to have more exercise. What should I investigate? And it comes back with reasonable suggestions without, and there's a ton of other apps out there. If I want to give you two specific ones, one's called Guava is an iOS app. And another one's brand new. It's the same guys that started a company called Forward called Torch. And both of those have like very comprehensive connectivity into all of your blood tests, all your medical sort of scenarios, and all of your tracker data. And they give you, in one case, a local version and another case, a cloud version of like your sort of like healthy score kind of thing and a lot better. But again, honestly speaking, unless you're really into the tracking and stuff, probably not worth it. I found that the Aura data alone, as it relates to sort of sleep and gives you a readiness score, it's just a check. Like, hey, all right, because I'm data oriented, it gives me like a goal and I go and I say, okay, well, I want to be here. And then I went, I do things like, hey, screens, like I put my phone to bed. six o'clock every day. I put in these rules and you start to see like these basic things. And it makes a difference. A huge difference in changing the data and just how you feel. Like literally mine is just charge my phone in a different room. So I don't charge it in my bedroom. I just put it in the bathroom or the room next door. You don't wake up in the middle of the night, three o'clock and like, oh, let me grab my phone and check. And then you're sucked into two hours of whatever cool things on your phone that's always there. And yeah, that makes a big difference. And none of that required me seeing a doctor or taking a pill or doing anything like zero. Yeah. And it's essentially free at that point. It's like, you know, the cost of one more iOS cord. I think a lot about when you were at a compliant in one of the innovative things that you did at a compliant, which is why I first connected with you, was that you use gig workers as support. That sounds like, oh, of course you use freelancers to do support tickets. But like, that was unbelievably controversial when you walked into the megacorp of having a freelancer that could answer a support call for a mail app. It sounds funny even saying it now. When you think of systems, you worked at Instacart. Now we see MeriCorps hiring doctors, lawyers, and musicians to train models. When you think of this idea of human expertise and these AI systems, where is it all going? A lot of times it's binary. It's like, oh, I've got this software, and then there's these users and these people over here that use it. And you're starting to see this merge over time or a trend that says, no, actually, it's just a big system. I think the gig worker sort of contractor thing, Upwork, Freelance, Elance, all these things like informed a lot of my thinking around how we use AI. It lets you mentally break things into smaller, more consumable tasks that can be done by a lower skilled worker. And I think in many ways, the early versions and even sort of the current versions of AI are a lower skilled worker. right they have things that they do really well and are rote they have a lot of things that higher level thinking that they're not good at and so for us like you said we're building this new company pretty good ai and it is healthcare focused and specifically what you hit on is is where we're focused which is like look you can do the things that are repetitive and easy to train and then you start to work down that complexity sort of pyramid of like okay i've done things that are like, how many, what hours are you open? Right. But without sort of in the, the first version of like a lot of these AI phone systems, for example, we're like rules-based. If you said this, it would say this, it's looking for keywords. Like it's looking for certain things. Now, because of conversational gen AI, we can actually have an intelligent conversation where when you say something, I can kind of match what you're saying, even if it's not matching some exact rule that I pre-programmed into the phone system. And so what we find from that is that, and that what we call what we're building is like a clinic intelligence platform. If you could take all of the phone calls, both inbound and make all the outbound phone calls for a given medical practice, the intelligence to do that is incredibly high. And it's not just going to be great that you can solve all their phone calls, which is a very one-to-one like me and you on this thing, we can't do other things. You can actually use that knowledge to go do lots of other things across the practice to automate different workflows, to sort of interrogate the data, to give analytics. And so our view is that voice is the trickiest thing to get right because it's real time. And the intelligence doesn't have to be just high intelligence, but it actually has to be very fast. Where chat GPT and all these kind of asynchronous things, I can ask it a question, you're like, no, no, that's not right. Oh, here's some more context. Oh, no, that's not right. And two or three turns into the conversation, you get a good answer. But with voice, you get one shot, and it's gotta be, you know, four or 500 milliseconds or it sounds weird on the phone. And so that's why we focused on voice to build that top level intelligence and then use that intelligence in the practice. And so your point about like, okay, does that mean that we don't need doctors and we don't need professionals in the medical office? Not at all. It basically allows them to go back to focusing on better customer service and actually talking to people and spending more time with patients and not essentially speed running the encounter, which is what a lot of providers have to do today because they're like, man, I've got to hustle through this 10, 15 minute encounter because I'm going to take 12 minutes to go fight with the system after and document all the things and fill out all the insurance codes and all the things where it's like, you've heard these ambient listings where it listens in the room and then it's able to like sort of pre-cook what the provider needs to update into the system. But we really think about that sort of clinical decision-making, sort of the thing that happens with the provider and the patient as something that AI is going to be the last thing to get to. And it's also the like the most human part of the environment of like when you're actually face to face with your doctor, you don't really want like this robot between you sort of talking to the glass. And so we focus on everything outside of that, everything up until the encounter starts. So how do you get the scheduling booked? How do you get referred? How do you get all your information gathered? How do you get your billing and insurance all validated How do you make sure that you show up on time with reminders And then the instant the encounter stops how do we make sure insurance is billed correctly You pay your co We work through all the authorizations and we make sure the clinic and the provider actually get paid And so those big value chain pieces end up being where no one in the practice is like man, I can't wait to wake up every morning and come in and work on billing and fix all the errors with the insurance agency, you know, or fix all the issues that happened with our billing and collections team. You're like, no, they don't want to do that. And so you take away the stuff they don't want to do. you get a lot less resistance, first of all, from the team, because they're like, great, you're solving stuff that we're not excited to do. The team gets to spend their time working on higher value things. And many of those are those personal sort of interactions with patients, whether that's when they're first coming in or when they're actually in the practice. When you look at selling AI or selling these sort of solutions to solve a problem into companies, there's a lot of resistance. I mean, I understand that, hey, there's work that people don't want to do. I can imagine a counterpoint that says there's a person sitting at a desk and that's their job. They may not like it, but it pays them X amount of money. It gets the health care they need to take care of their kids. They show up at eight and they leave at 430. And so there's one thing of, hey, it drives efficiency and better outcomes and it allows people to focus. But a number of these things impact what somebody considers their job and also doesn't say, okay, And by the way, this is what you get to go do once we sort of outsource this to a technology, to a person. And when you're selling in, how do you address that? How do you address that person who feels that very personal displacement? Yeah, I think there's two things. So I think, one, there's this general very, very deep and painful scar tissue from all the existing sort of early versions of, quote unquote, automation, early versions of AI, like all the nasty IVR phone trees that people have gotten used to. And so the first thing is like, you have to break through the fact that the technology teams that have been working in healthcare for the past 20 years are nowhere near the ones that are working on it today. So I think that's the first thing. And as a medical provider, who's not a technologist, they don't know the difference. They're like, this is just another sort of IT guy that's coming in and selling me a song that's going to give me a long-term contract. It's super painful. And and my team's going to hate it a week after it's turned on. And so that's the first aversion is to be like, no, no, this is fine. It's going to be a lot better than it was before. And then I think the second piece is we usually discover in the pilots that the people that are the most impacted become delighted that they're not doing this thing that was very monotonous to them because they're able to sort of like put their head up and be like, oh, people aren't complaining that I'm behind on phone calls or behind on billing. And some of the people we're talking to, you literally can Google them. And they're mentioned by name in the Yelp reviews and the Google reviews of the practice of how terrible they are. And they're like, look, man, I can't, every day I come in, there's like already a line at the door before I even open the door to the practice. The phones are ringing off the hook. You know, it's the classic sort of like office space meme of like just crazy, crazy activity. And then the person just sitting there being like, I've already lost. And so surprisingly, the resistance is not with them. It ends up just being with the fact that they're not technology companies. And you're like, oh, let's connect to your phone system. It's crazy. like at one of the practices we're working with, they're like, no problem. We're going to contact Gary at our IT company to help. Gary's like, oh, I don't work on that area. Let me contact the subcontractor for that. And the subcontractor's like, oh, that's a really old system. We put that in 20 years ago. We don't support that one anymore. You've got to contact this third guy who doesn't really want to respond to you. And so it's like, they're so helpless because they don't even know how to like unwind the dinosaur, like, you know, legacy thing that they have. And so most of the resistance is not from them. They want to do it. It's their own system fights against it. They're like, well, we don't have a cloud phone system. We have literally, I've had multiple providers be like, oh, the phones come here. They just hold up their cell phone. They're like, oh, the phones just rings here. And we just pass the phone around during the day of who's going to take it. And they're like, I think it's T-Mobile. And then other ones are like, oh, we get it from Comcast. And you're like, Comcast is like, they sell phones. Well, they have this business solutions team that sort of like sold us this third party thing. And, you know, it's just the randomest kind of IT stuff that you would imagine because they're just not technology people. And so the biggest barrier is just the fact of non-technology practices, adopting new technology is hard. And then the sort of scar tissue of the past 20 years of just them being underwhelmed with what they were delivered. And you're a technologist, you're a builder, you're on the edge and you spend a significant amount of time understanding this stuff in a pretty deep way and understanding the problems in a deep way. That's why I love your newsletter and the content you put out, because it's just a reminder of some basic things from somebody who's, to your point, out with the welder on the pig farm, just taking apart the go-karts. What advice would you give to someone who may be listening that says, hey, I get it. I've used this thing. I've had my wow moment with AI, like, oh, wow, that was really cool. I might be in my slop zone where I'm kind of creating stuff and it's like, oh, this stuff isn't really cool. It's actually causing more problems because I sent this thing to my boss and it was a lie. And now I look back, like whatever the case may be, what is the mindset or framework that you tell somebody who knows they need to maybe learn new skills or, Hey, this is different. Like there's this different tool, just like the internet was like, there's this different thing. I need to kind of learn it, but I'm, you know, to your point, like the lines out the door, I'm busy at work. I've got two kids at home. I've got to run to soccer. By the way, we've got to go get groceries and they feel just sort of stuck. And then they open their phone and they feel like the world's passing them by and they're in this sort of stasis of not knowing what to do. What do you advise to those folks? Yeah, it's tough. I think if they're in a position where they can make a technology selection. So I think that there's two camps, right? So people that are in these roles that have a voice to make a technology selection, find somebody you trust, right? It's like an IT person, somebody slightly more technical than you that can help you sort of provide a little bit of guidance. And so we work with a lot of consulting companies that have like, you know, that are consulting on these type of things that are already in these practices or already in these businesses. Cause it's, you know, we have other businesses that are working outside of healthcare. And then I think if you are in a decision practice, I think ensure that you're not time bound, like nothing worse than signing a new contract and then starting the pilot. And I think a lot of practices make this mistake because that's the way software people like to sell. And it's good for them because they can lock in the deal, they get the commission, they kind of get the thing flowing. And our view is like, no, no, no. The trial should be free. The pilot should be free. You should be able to like look at your own solution and see it working and then be like, oh, I want to buy this. Literally the try before you buy, which is not typical in medical software. They try to sign them on long-term contracts and pilots that auto convert. So I think that's the other thing is like there are many solutions out there you can just try that don't cost you anything and are also really low impact on your current staff. They really adapt to what you're doing. And so I think if you're in a position to make selection, make sure you're not just buying like the first one that comes in your door that tries to sell you the next widget. And I think even if you are going to sign a contract and agree, like the world's changing really fast. Like there's nothing worse than we've talked to some of these companies that are locked into three and five-year deals, that that's what these enterprise deals sold them on. They're like, oh, that's the only way we could have got the thing done. I'm like, oh, that's never, ever again, right? Like you should be signing at the max one year. the world's going to keep adapting and changing and you should be have the willingness to be able to look at that again and not lock yourself in the technology is moving too quick to lock yourself into a multi-year agreement on any kind of technology thing just like you would never like i always think of your actual cell phone i mean yeah you might buy a one-year contract to pay the phone off or something but most people are month to month and it's like if you you should be month to month right if you like it you keep paying if you don't you stop paying and then you get rid of it and i think very few people buy software that way because it's it's historically been sold in this really tricky point. And so my thing with everybody is like, just don't get locked into something that you're going to regret and prevent you from sort of trying the next thing that, you know, may work better. Kevin, I love following your content. Keep writing. I know that it's one of those things that sometimes you, you wonder if people are listening. Well, I know a number of people that are, that are, so congratulations on founder mode and podcast and everything. If people want to follow your work, what's the best way to do that? Yeah, just Kevin Henriksen on Twitter or Kevin Henriksen on LinkedIn. But yeah, Paul, thank you so much for having me, man. And this has been an incredible conversation and I've always enjoyed to kind of reconnect with you and talk through stuff. Kevin, I appreciate your time. Thanks so much. Kevin just laid out something most of us do not realize. We're not in a productivity crisis. We're in a decision crisis. Five versions of the same document don't make you more productive. It makes you more confused. Kevin's insight from growing up on a farm stuck with me. The importance of spending time building, experimenting, versus just consuming. That's the trap we're in right now. We're obsessed with generating outputs instead of learning through creating. Everything's changing and fast. The move isn't committing to the perfect system. It's staying flexible enough to pivot when something stops working. Go out there and try stuff. It's not helping. Try something else. We're all just figuring it out as we go. Don't just consume this episode. use it. I'm Paul Estes and this is Expert Intelligence. Subscribe to hear from people trying to make sense of what's next. Until next time, stay curious.