Introducing Raising Health: Fireside Chat with Sean Duffy
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I'm never call ourselves to start up. We were three people and no moto was a digital health company. What needs to happen for innovation ecosystem with lura way that wasn't there before could IT be done more effective, efficiently like look anywhere besides, you know, the us.

And you find ways that one, could this just pretend I was a higher gun C. T. Brought in today.

What would I be doing differently? Day one, great. Just join the model on the city year. What would be the next play? There's a reason that artificial intelligence is a buzzword and artificial empathy is not.

Digital health has undergone a remarkable transformation over the past ticket involving from simple health tracking applications to an inner connected ecosystem of solutions that are totally redefining the way we prevent, treat and manage medical conditions.

And today's guests has actually witnessed this entire ship, shoon duffy e cofounded, a moto health, in two thousand and eleven, with the mission to enable people everywhere to live free of chonita's ase. Over the last decade, Shawn has actually Brown to mota from zero to one million patients, giving him a front recipe into the evolution of the digital health industry. So in today's episode, chances down with easy sense.

Bio health founding partner B, J, for the inaugural piso's of phrasing health, formally known as by which row john B. J, discussed the building and growth of a motor, how A I is changing the digital health landscape and what the future of the industry will look like as a mother. Plants scale from one to one hundred million patient. And if you do like this episode of got to go check out our sister podcasts, raising hell that again, just we launch and has some pretty incredible episode, the docket. In the meantime, enjoy the.

Hello, and welcome you know us as bioethical world, a podcast to the intersection of bio health care and tack. But today we evolving to bring you raising health.

Raising health as a show for and about the builders who are leading the companies behind the bio and health innovations. Each episode will continue to engage with industry leaders such as nobel load generator data, estee clinic, coral, june A I pianer dhani collar and many more. Today's episode is with sean duffy.

I'm Olivia and i'm Chris.

Show is the cofounder in CEO, va. Mota health. He is joined by vj on a founding partner of basic teen bio and health shannan.

Vj celebrated the milestone of meta achieving one million members. And look back to how digital health has evolved since sean first started raising capital for o. Mota more than ten years ago to beyond st.

Them in the last ten years has been that scene from a pollo thirteen like the square see two cartoons, and round hole is try to, like, somehow pulled IT off with the parts on the ship before your auto plate, which is your bank account, and start a language aby.

Because he, so many years in the wilderness of early digital health, Shawn is an optimist about the future of A I. He shared how a modest leveraging A I today and how the company is shaping its caregiving strategy accordingly.

There's a reason that artificial intelligence is a buz word and artificial empathy is not. And and I don't think there is any some substitute for just the the human account building and in fact, actually think that may be in this era of AI, IT may be able to come more valuable human time, handcrafted goods like proper human caregivers that may feel more valuable. So in the same vein, you can leverage not just them, but T, P, and augmented support through these models in a way that I think this will transform outcomes and and you know impact the impact the .

world you're listening to raising health for a sixteen year buy on health.

Welcome to raising health. The news for twenty twenty four is that bio's world is getting we're rewarding as raising health and as a very first guest on raising health is my pleasure to welcome sean duffy, uh, C E. And cofounder of motor health. So so thank you much.

Yeah you thank you and thanks for thanks for allow me be the first .

one honor that starts with actually that email that you say me think else actually have been a tweet that I saw that I want to a hit a million patients. That's right. And and so I was a huge deal and I think that mean is very sentimental about like all the whole paths you've been through in the paths that we've .

been through together. Oh, for sure. Now I am a you know really proud of that. I'm proud and proud the team. I think it's it's a lot of people to big impact.

And I think if you pull up, I think IT is a statement on where digit health has come from and that is possible. IT admittedly feel two ways about IT. I think the positives are my gosh hit took you know so many years of toiled to even get to the couple of thousand. But then if you compare the million to the tasks at hand of actually impacting epidemiology and and really, you know doing what we need to do for the business, we haven't really, really made A I told our teams, let's celebrate for three seconds and let's go try to get IT to ten, twenty.

fifty and beyond. Well, that you make a great point because a million is hitting scale, but in principle, you could get tens, hundreds of millions and even beyond. How do you view the next steps? Well, how do you get to that type of skill?

I think you're out of million on strong foundations. As long as as long as you're serving your members well and you're serving your customers well, IT does become slightly easier because we're in a new state. Digital health was a little bit more accepted.

There's a bit more trust. We now have published trials data set to us. So where we're in hungry as possible. And I think IT just shows that the the space has progressed a lot. It's still really to the action related to having a you know the impact that I can in and will.

So before we get too far ahead ourselves, I should love to take us back to the beginning. So this is the sage. I guess it's two thousand eleven ent. When you started to mota, I we see zero patients and you know what did that zero to one part of the start of look like what was .

I like yeah as a first you know here in recent officers speaking with someone who probably is in the same camp. But i've always been pulled between technology and and science in health care. Um originally I thought I had to choose I to pick the tech or health care.

So after undergrad, even though I didn't my premium rex, I worked to google for a couple years went after medical school, was in world and harvard M D, M B A through that, came up with the idea for mota. And really the key reflection was a statement where the mark was out of the time I be with my tech friends from google comi. Gosh is like fit bits to go to change health care.

My medical school classmate were like where the level one evidence what diseases you're targeting. And so the idea for model was to build a convergence company when that didn't didn't sacrifice on technology, no design, but try to even do so in such a way, were earned, earned the trust of the existing, you know, healthcare market so that that LED to the business and an n zero to one IT was IT was a jury. We were we're a little head of times. I think we when we found the company, the world kind of didn't know what to do with us.

So yeah tell us more like you were a tech company but you were also held care company yeah no.

I mean, it's in in the mode as a for instance, you'd say hi to know health plan and say I want to contract as a provider and like, okay, great, well, wear your clinics. Like we don't have any. And like that, excuse me, wear your clinics.

No, no, no, we're provider. We don't have offices. So like you can't contract with our network .

team like go hotel teen with hotel.

Yeah exactly. I'm in the last ten years. Has that seen from a pool thirteen like the square to round hole is try to like somehow pull that off with the parts on the ship before your you know your oxy complete which is your bank account and started language yeah.

Well, and I made that analogy to the hotel company without hotels is bnb and the first flight without cars. And so that makes sense in that zero to one time, there is probably some surprises. I don't know if there is any. No surprises makes .

sense to account. I quickly realized how hard IT was to sell in the enterprise, so IT was surprised to me. Now it's not surprised all to late that to any tech founder, it's like the key thing was that I was not sexy to be a start up this this was kind of a moment in time where you like, oh my gosh, as I guys was at twenty something founder that goes off and builds like a ten million dollars with health and never all of a, we are three people and no, mota was a digital health company but you had to quickly try to you frame yourself, as you know, a measure thoughtful business in order to have success.

When you are raising, you are raising probably from tech VC primarily and now there are examples of tech bio VS health tech VC that are sort of doing both. Um and actually, you know it's worth noting that actually, uh asic and seed investment in the moon itself, how has the sort of investor landgrave changed for you?

It's nine eight different. Yeah we were we were the first major health care investment from injuries, and but there were very few conversions funds and you d be on the on the health care kind of fun track and like, excuse me, like where specifically is your monopolists IP and it's going to be just so easy for any health plan to build software. It's soft. You that's what they known for.

right?

And you know you got the tech side and the like, how about that budget item for that in a million dollar peer of you study and R, C, T, your inking about running, I don't think we need that. So know you'd work to you know explain and and I think that was very much .

sort of in our mind for launching the bio fund, you know which came after the mode that realizing that you were a tech company and there are other tech companies that happened to be in life, scientists held care. But we were being built like tech companies and I was the .

opportunity yeah hundred percent .

yeah yeah so so any other changes that you have seen to the space of in digital health when you're very much a pioneer of digital health, that's probably changed over this decade as well. Yeah.

we talked about the investment landscape. I think you equally, you've seen drastic differences in both the go to market, the landscape and the talent the talent .

landscape take each time.

Yeah, yes. So I mean, the go to market is very different. I think there are like more place there.

There's still kind of things to be learned to think if you use our motto as an example, we started targeting self from employers and internal to business with plans. And there's a little bit emotion now then is slightly more codified down. now.

I'll be IT. It's still very difficult, very capital intensive, but it's more than known thing. And there's been examples.

What makes IT difficult .

even is a lot of stakeholders. The buying cycles are really long. You're dealing with not just your leaders, but consultants and their plans and their channels and is a very multistate coral series process in and still a risky person environment.

But but there's a little bit like a known way to do IT and wino moda found that, that was far less so if you had seen castine work toward selling in the employers, but a little bit not the way that our model was doing IT. We figured out a way to build through claims. We took our trials to the american medical association, got them to issue the first ever digest specific C, P, T.

Go just literally for billing infrastructure. Now there's many startups that figured out on the back of that, you know how to build through claims and contract, you know as a provider like what we talked about before. So the world is invalid if I can make one statement that I think is the most is the most beneficial world of the go to market is buyers Better know how to buy.

So how do you make that? Well.

I mean, come to mona that you're like, well, and I remember in the early days know you'd be talking to the network teams and you like, you know, i'm imagining a world where there's actually specific individuals on the network team focused on your digital provider network now and you just kind of paint this future that could be, but that's not there yet. And then you just kind work your way to IT.

And in a bit is learning together with your partners, like how do you implement you? What are the claim systems? And then the next one that comes in the door, the look, we have kind of done this before.

And now I remember one experience that was as a health plan, well related health plan. So I going to call from a CEO of another gentle health company, which so I just want take five ments to thank you. why? Like I just we just did this still with the health and can name and uh, they sent over the papers the contract and they just forgot to take on a mother name out at.

Long close is like three months as I take a year to half. And what that means is, all right, there are there are plenty of ambitious digitally forward people, enterprise health care, but like there's also like laid down processes and infrastructure ways of buying now that are pretty so little fight. So IT takes a little bit time to like chip IT IT more fit. He did make a little bit valuable and and then kind of lay new foundations on how to just .

ingest things like a mota when you ve tempered that, still is ready to go. And then mentioned something on the talent .

side to this changes from everything, the current state to of the fear, the fear role that I remember, the medical school that was kind of like me, and like two other people in my meat school class who had an entrepreneurship ent.

there was, I restarted .

the harvard medical school, like entrepreneurship, I said died. He died. That existed there, all the society, three weather on the vine to get C, P, R, get that thing back going. And now I think that's different. It's like, you know, today's curse of is java script. There's just more a tech fluidity coming out of the you think the life sciences, which speaks to more talent that can appreciate both worlds, which speaks to cultures that can build the best of both worlds together, which speaks to IT, is being easier to build .

a conversion business. Yes, i'd love to see this one of a graph of time and the fraction of mid school students who have taken to see.

of course. Yeah, no.

probably just like growing dramatically.

It's dramatically what .

is key because like if you really weren't sort this is on the texas, you wouldn't be able to handle outside of IT. IT seems like at least a part. The problem early on was there are just so few people that .

were conversation in both and and it's funny. It's both like A A vision issue that's super important, but it's also like a hiring shoe because you the end of the day, like you need to be able to pull in incredible skill sets in your organization.

And if if the language you're using like doesn't communicate that you understand the skills that that person is bringing to bear and you can't just like over a beer like riff on a specific thing in the world, they are wrong going to join. So I that's that's one of the reasons why the legacy health services comes have had trouble. You are hiring talent. I'll put out a role for like IT engineer and it's in the language and just the appreciation of the .

skills sets like matter.

It's hard to get that the same is on the healthcare side. Like if you I mean, if you're just an amazing tech company, we are trying to hire great health care talent like they don't know, they don't know what they're doing.

Well, how's IT going now? Like how's IT hiring sort of the latest crop? Like on the M L. Eyes side?

We know so much easier because it's specific to that what's need as we have just awesome get a corporation like these models more less what feeds them. That's important. And the mota has Operated against our users preferences, which is a synchronize message in large part. So about twenty five million messages that have flow back and forth between our care teams and our members, maybe the richest data, a synchronous test data corpus in that a ballet care and L S.

Are a time a new story for any kid would love.

That's right. So so that that talent side is fine, but the need thing ruled to the the last kind of couple minutes of conversation is now there's a crop of folks that have worked in tech and health care, maybe that to start up, that try to do both but didn't work out or maybe know a compete has scaled and they want, you know, do something different. So there are there's just actually a richer a crop of talent to pull from.

Its no longer everyone trying to steal from a mother. People there are experience with boat that's and said, which is great. I think it's it's an amazing thing.

I was a really goal system well, so I changes always. Have you changed? Oh my gosh.

I mean, yeah. I mean, I was extremely Green when I found IT a lot. I was, I was in an M, D, B, A program, but he had the business side.

And I D never hire anyone. I didn't have any men in general experience. I venture capitalist was you know, my goal has always been each year. I want to look back at last year, Shawn, and just feel a little of embarrassed.

That's a really unique way of frame, but embarrass that being hard on yourself.

I think it's it's purposely not hard because it's like it's the truth. So I think I have been just a little bit Better about every, every proceeding, Shawn. So the Shawn now is very, very different than the vintage. The vintage well.

actually know where you think about IT after you said that the thing that most people game baris about is like when you wash yourself on video or he listen to yourself, it's actually the fact is getting embarrassed is not unusual is the fact that you're willing to to look at that and look at IT in its face. I think that is really takes bravery. And as most people don't do that.

I think a way to think through the way that I think through IT is, is to think through decisions or mistakes. Like would that have happened with today's on that misstep that we made with today shown? Have you fAllen with that trap? And I think it's a good, I think it's a good minds, said I think similar. I always encourage entrepreneur s to like especially founders trying to purposely decouple yourself from the founder mind and the city mind.

How would you do? In fact.

sometimes I I purposely ask, like this is just pretend I was a higher gun C T, brought in today. Like what would I be doing differently? Day one, great. Just joined to mota. I'm the city year. Like what would be the next play? And and then you can similarly ask, what do you think the the organization needs from its CEO like next year and beyond and then that that like becomes your l and d plan.

But also orange ation need sometimes things from the founders do, which are unique from what they need from their CEO business.

That's yeah, that's right. You reverse IT to, you reverse IT to. And there there have been things. I mean, you as the or grows, you have to, even as a founder, especially learn how to like work with your organization because your teams, you know, you have so many bright people, they need to like find energy around the direction, and you have to set this strategy. But certain things, that thing is very helpful with found orientation like you almost that optimism doesn't always tend to like Carry ford with scale. And if they like new things in the market, like for us this hold g opp one landscape or even that you know the general area landscape, there's new things like I view is my job to like depress the organization in the in diseased those yeah .

to really almost get keep that spirit that you had when you're like ten people or three people. But now to do that scale, do that exactly. Any advice you give .

to show a tactical stuff? My number one advice to just health to preter process is put time. I thought in how you Price and package kind of you have what you're buying that is just so much path dependency.

Yeah and that sounds like a detail, but that's like the core future of your business and sense.

Yeah, it's funny. It's the tedious stuff that tends to matter as much as the tactical things. And some of the me you can read about others like is is on the job training well.

especially if you're creating a field, then the problem wasn't on .

the job training ideal yeah OK.

So just take us to today. So and actually brought up two great topics. I want to hit A, I, and G, P, S.

Let's with the ice. So you really mentioned that AManda has a huge corpus. Know what's your take for how AI is gona change your model?

Where do you go with that? Where do you go from here? Yeah.

in the whole team in the engineering team is just get with IT. There's yesterday is like A I would we've been doing build models and m models recommended recent M L small .

AI yeah versus a large foundation model yeah exactly versus .

kind of the general side. There's hundreds of ideas on how the best leverage or data. So we're still learning and and growing. But to give you just some specific examples right now, you know one thing we launched a is the beauty for our care teams to just see instantly summarized and views of eating history of their members.

So what we found is, like if they wanted to talk about food, we had a very beautifully structured like view, where they could go through the meal patterns, looking at the eating patterns. But they were spending about six minutes getting the context to be able to craft a message. And so one quick IT was have the model do that, and then they can take that and craft IT and craft a note to the member that allows them to just feel more insightful, more precise and likely more important and more efficient. It's like everybody .

wins in that may be even more .

there's something absolutely more empathetic. There's like step one for a mota, which is right of these hundred ideas, what the ones were. You have high impact um a low radio autor risk because they're all considerations that you need to think through here.

We're trying to strike that baLance of ensuring that um you know the end of the day, like we people feel the compassion of the matters yeah services as well as the intelligence where you've got the human is shine through. And so for us right now, we built our care team platform, homegrown by scratch. So it's about helping enable our care teams to be authentic humans to come across that way. Do IT more efficient and poor your point many times since little tip promise more apathetically.

What's really interesting? Because you serve a lute to the history of virtual base care where not having bricking water was like kind of crazy, right? And now is actually you post coit, it's actually been quite routine and actually many of us and IT has its own convenience. And on now you're almost like a different type of virtual because now you're even like the caregivers.

can you ah it's how .

far does that go? Does IT are you always going to have caregivers and you're just mass ly scaling them? Take us five years into the future like maybe ten years in the future, like how long does this a scope?

I mean, it's going to be baLance. I think the you remember in peak cov, IT was like viral, careful to everything. And I I fall like crazy being like guys like. But is still need to be done.

Certains need to be removed.

So it's and will be the the same truth here I do there's a reason that artificial intelligence is a baz word and artificial empathy is not. And and I don't think there is any sub substitute for just the the human accountability. And in in fact actually think that maybe in this era of A I IT may be I actually come more valuable like human time, you know, handcrafted goods like proper human caregivers that may feel more valuable. So in the same vein, you can leverage not just them, but tee up and augmented support through these models in a way that I think this will transform outcomes and and impact.

impact the world. We talk about scaling, talking about the million members. Maybe this is how .

you get there helps you.

So it's such a crazy time because we got A I get like doing this the same thing. And then generally on relate A I, but very related for a more G L P ones. How does that playing to what you've doing?

And here I feel guilty. What's happy IT because you've got this two party tracks like just extraordinary technology innovation, extraordinary life scientist innovation, like two different isolation. I mean similar to like the fact that your convergence and investor models of conversion company, they just hit each other yeah like right now know right at the moment.

And and I think they're both really have knocked on the doors of AManda as a skilled provider that he has not only the data for the gender of the eye, but also enough scale to an enough clinical credibility to cap for the opportunity in G, L, P. ones. And you know, the way look at them is an incredible breakfast.

Like humanity, we should put themselves on the back that he exists. Yes, know an in large part that especially since the day has born out in to ibex, I think generally consider a very safe medicine, and hopefully continues to be the viewpoint. The chAllenge is L.

P S are great at .

a quantic quantive food, so you can and and will lose weight on A G L P without changing anything about the the quality of your qualities, because they will will use the quantity.

will lose appetite.

That's what you lose appetite. So you're dropping your clerk can take, but eating exactly the same foods. The chAllenge with that is most patients tend did not want to be on these medicines for life, even though you I mean, you'll find the k ls.

That argue that that's the right clinical point of you right now. That's counter with the patient preference and in the cost profile is making that for for the employer that are covering U P. For obesity know a chAllenges. Well, there are very few that you know our thinking will shoot all cover this for life. So you have this issue where, okay, you've got quantity.

Well, what does the quality? And that's vero moda thinks we can really differentiate um if G, L, P are quantity or not as quality because you can use these as almost a behavioral catalyst, help reframe h someone's psychology around, I can always weight, this is amazing. And then on that you're like, well, what are your goals? Well, of the medicines.

I stood in a health way, exactly.

Well, let's take advantage of this thai ute window. Like, let's figure out some new meals that you can just start to incorporate. Great you losing weight.

What are some new activities that you could do now that you couldn't do otherwise? Um and then omi can address some of the clinical complexity here. I think I think the next issue that is already starting to bubbled up a soccer ini.

I mean, you know because what what's happening with these meds, you you'll lose fat and muscle mass. If you do regain, you're going to regain only fat. So there's always complex body questions that going to require you like physical activity protocols on top and recommendations and die intake to make sure that you're addressing this kind of truth about .

which generally not specific to your body. Muscle mass goes down, then your go down.

That makes IT IT makes you more likely your we can you feel hungry?

Exactly exactly yes. So and if you're only eating five hundred calories, a thousand calories with these things, small every counts exactly.

You know you know moto made some decisions that we're happy about, know the first is to launched this like galpy one care track yeah that we ve chosen to not initiate people on the medicines but just, you know support them regardless where the script aim from. So when we work with our partners who are covering G L P S from obesity, obesity and quick and a little bit old roads lead to a mota strategy, like look for for these to be covered. We want to make sure that you .

have the life's support alongside you. Do you think this gets us to like, what is digital health look like? You know, five, ten years now.

what for more, I hope these innovations help us do what would always is kind of been the most important, which is to have tomorrow epidium logic noticed like band and disease curve, and have to be apart of that. It's been this weird, weird kind of thing where I feel like every couple of years you see this like report on, I be these measures, except I like the nations gone nowhere .

was that really true? Have really gone over, gone worse .

than nowhere, fact, worse direction. Portrait story is a country, to say the least. So you think these innovations help us to know IT level, scale that matters.

And this is the most acute labor crisis we ever had. U. S, on the providers and the provider side, you talk, you talk to the average provider, the which are what your chAllenges daylit. You ten, one through eight or labor, we don't have enough practitioners.

right? So do not going have .

two hundred thousand primary current like show up on or so. So that was that mean aid like even outside of what we do, you have to find technologies. They give more leverage to every credential like intel limbs. You be what you need is to provide care differently. Like there is no way that a decade from now, the primary q clinician is going to a be point on something like longer to know abeles care. So a moto can communicate between visit care provider as an adjunct to primary Carried a partner and make IT such that really what you need to do is about the person to us and will handle that between visit care and and take that off your plate, which, which I think is gently required.

I mean, it's amazing that scaling goes from an aspiration, almost an obligation.

There is a silver wing I an this is this is just an extraordinary crisis of labor. What what is happening is the everyday provider recognizes that there's not there's not a solve. And anyway, you've have providers that like lurve, they're like, shoot, we've tried to almost everything .

they bought in .

nursing schools and god of nursing schools to try, but there's nothing that's going to be enough. So it's like we have to liver care differently. What does that look like .

who we work with to do IT? So the shortage is one thing, that other sort of crisis .

that we all know about us cost percent of our GDP spent on health care constant. But just use the dollars Better. Like we've got an embarrassment of a Richard to put forward to to the country here.

It's not like you could have be done more effect. They are efficiently like look anywhere besides you know the U S, and you find you find ways that you that one could so but but you kind of need a rock thrown into the lake. no. And and or enough like pressure points there that I do think that the silver lining will be it's kind hit. The falconer is reinventing the system.

What's paint the picture? So like you're dealing with something which is one of the biggest crisis for america, like credibility, type I diabetes way and collaborating I protection moscow called to all the collaboration that's the problems is very clear. And then on top of that, you have to provide a problem.

And the cost problem you put in A I N G PS. It's almost like this, wonderful. Almost as amErica like to the rescue.

no technology to the rescue, literally. I'm like an absence of that plus like there were model layers to tie the room together. Yeah what happens you know I mean, it's like but then .

so then what keeps us from the future we're describing what's in no way .

I think it's coming. I generally do I feel more optimistic you than ever. I in general, I don't think there's an overnight success. I think that's especially true in in health care and building a healthcare business, but I think it's coming.

I mean, well, what do you think regulations in this space?

I mean, one, the reasons why IT takes .

a little bit longer, especially I say additional regulations .

for A I yeah that's a good question. I mean, I think in right now the general basis on how to use gena, I says, like, look, guide a licensed practitioner. So know where that world were of you self driving as analogy, like its driver assisted.

like you can turn IT on and we got got wheel and there's doctor google in play. And so this is lifing that but still .

a yeah exact and practices .

have regulatory bodies that govern that their work and so on.

I think there will be ways to create targeted reilly ory like pathways for hyper specific things that have no patience risk. Now no.

are obstacles that feels like the way you talk.

feels like it's an i've been I do I actually I do think it's never again. I mean, speaks to the three things that have changed what what needs to happen for an innovation ecosystem to the flash, the way that, that wasn't there before need new capital partners. There's more folks that understand, you know, tech, health care.

And there are some proof points that you can make money here. I need you know, you need that to create kind of healthy capital environment. And then secondly, you need like more go to market motion models that make IT just a little bit easier for the next person, right? right?

That's that critical. And then you need the people. And so you know I think you've got you've got to three, you've got micro o pressures that are requiring you know innovations, not a not vital to painkiller you know at this point. So very optimistic yeah I think we're told the beginning. I think the next next two decades or just can be extraordinary.

we do make IT happen. It's amazing because not only have you go found a mother, basically help go found this, all right? I mean, that would need to be that very generous .

and think you're doing a partner and in recent for being a partner along the way.

please OK. So obviously think time about health care.

like what do you do? Have two kids, have a four year old material gym called lifetime opened up. Near my home and I baked, I would have paid any Price to sign up because they have childcare for tune hf hours.

The deal you can you so we have to be the .

best shape of my luck because you are visit an internet childcare so precious and and the kids love IT. So we we called the family fund set, not lifetime, jim, but yeah, I got to push the fiction from lifetime that said, like, congratulations on, you know, your twenty and fifth is and I looked up how long I had been open IT was like forty five days.

It's funny.

Tried to be like the similar model models, pragmatic of to what fits into your world and best time you fit into your life. And he didn't not be over all these elas one where the other but just try abby by the healthy eating and habit .

thank you so much for enjoy us on raising .

help you got IT and thank you for allowing me to be the the first guest on this news news right? Take every day.

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