Ken begins by breaking down a common myth: that AI is futuristic or irrelevant to everyday people. In truth, most of us interact with AI daily — we just don’t call it that. Examples include:
These are all powered by forms of AI — typically machine learning — that analyze patterns and make predictions. The takeaway: AI isn’t new or scary; it’s quietly integrated into our lives already.
For example, if AI can automate billing, visit approvals, or resume screening, it frees leaders to spend more time:
Each example shows how AI can save time and improve decision-making for busy leaders.
AI isn’t perfect. It can make errors, especially if asked complex or ambiguous questions. Ken emphasizes that AI should not make final decisions alone in home care.
If the answer is no, skip it. If yes, try it — and if it’s not quite ready, try again in six months. The field is evolving quickly.
Ken wraps the episode by encouraging listeners to stay open-minded. Like Google or Google Maps before it, AI may soon become indispensable in your daily life. The key is to start small, stay curious, and test responsibly.
Today on Home Care Heroes and Day Service Stars, we're going to talk about what home care and adult day care leaders should know about artificial intelligence and whether this is brand new for you or something that you're using every day, think that you'll learn something important here. Enjoy.
00:18
Welcome to the Home Care Heroes and Day Service Stars podcast. If you provide services to keep older or disabled people living at home, then this podcast is for you. Now, here's your host, Ken Accardi.
00:33
All right, so hi, and welcome to a new episode of the Home Care Heroes and Day Service Stars podcast. So today's going to be a little bit different than normal. Usually I have a guest on the podcast and I'm asking them questions about, you know, what they do and all that sort of thing. But my team actually asked me if I could do a podcast to talk about the future of AI in home care. And I said I would do that, but what am I supposed to do? Interview myself. So.
01:02
Obviously not. So I brought one of my great team members. name is Sofa Umashankar. And welcome Sofa, how are you today? I'm doing very well. Thank you so much, Ken, for agreeing to this. I'm so excited for our podcast. All right, perfect. So with that, I think you had put together a set of questions about, you know, kind of this topic of the future of AI in home care. And I'll just like give you the show and let you, you know, ask the questions. I hope I can answer them.
01:30
Okay, just jumping right up into the questions. So we're going to explore the future of AI in home care. First up, the question that we prepared for is some people have the mindset that AI is not for me. I will never want to use AI. What would you say to them? Well, I guess the first thing I'd say is that whether you realize it or not, you are using AI every day. And let's kind of talk about
01:58
some things like, so if you ever shop on Amazon, for example, and you buy something, it's going to say, oh, well, people who bought this also bought that and things like that. Or if you watch a movie on Netflix, it's going to say, oh, well, since you watch this movie, you might like to watch that movie and those types of things. So these are, you know, these are examples of, of AI and this is kind of like kind of I'll call that old school AI, right? You know, like it's this kind of AI is called machine learning. You don't even need to remember that part, but
02:28
But bottom line is, if you think of those two things, Netflix telling you what you might want to watch or Amazon telling you what else people buy, you're really just using statistics, right? They're saying, okay, well, let's just look at the statistics out there and let's try to make predictions and decisions with those statistics. And there's just a lot of other places. Like, I guess one thing is that all of a sudden you had an Amazon Alexa and you could talk to it, right?
02:57
give you answers. And in the early days of Amazon Alexa wouldn't understand your questions and people who still have one of those, know, like when they just say Alexa by accident, you know, she starts talking to you. It's a little bit annoying, but that was that. And, know, of course other voice, you know, conversational things like Siri is another way. I'll give you another one. When I used to, you know, have to go to the bank to deposit a check, right? You know, so here's my check and that kind of thing. And now I can just pop it into,
03:25
Well, originally, then the next step was you could go to the bank machine and you could put it in. Like if I go to the Bank of America, it just reads the check and it says, oh, it looks like this is a check for you for $120. Is that right? And then it'll put it in your bank. So it's reading your check, using AI. And so that's just like everyday AI that you're using. And now again, with the checks that, if I ever get a check now, I can just take a picture of the check with my phone.
03:54
I never even have to take the check to the bank and I take a picture of the front and the back and it makes sure, and it says, oh, you didn't sign the check, right? So it's, know, that's another example of AI. And, you know, so like in our everyday lives, it's happening all the time. Wow. I didn't really recognize these many patterns. mean, like when I went to Amazon would show me one of these to pick for my cart, I would just go ahead. I didn't know that.
04:21
learning. It was actually learning from my behavior. That was a really interesting call out. Let's bring it more specifically into home care and home and community based services. We work in a business that is based on personal relationships. So why would we even consider bringing AI into the business? Okay, yeah, that's a great question. So yeah, we are a personal relationship business. I mean, everything we do is about
04:47
know, caregivers, or if we're in disability services, direct service workers, or our staff at a day center, you know, they're all hands-on working with our folks, right? They're making their lives better. you know, and your skills, probably as an agency leader listening to this, you know, those people skills. You've generated those relationships in your community with those referral sources and all that kind of thing. So, you know, and...
05:13
a lot of people who run and work in home care agencies, you're not really tech people, you're right. So it's like, oh my God, I don't need any more tech. I don't need any AI. But I guess just to the point that is in your question so far is that really personal relationships requires time to participate in those personal relationships, right? So the way that you should think of AI is like as an assistant to you. So like, are things that
05:41
are taking up your time that maybe the AI can help you with, right? Because if you're, you know, forget about AI for a minute, but you know, if you're sitting in your business and you're figuring out, you know, you're billing manually, or if you're entering your claims manually, or any of those kinds of things, that is keeping you away from that personal relationship side. You would rather be out recruiting the best caregivers, doing a job fair, you know, building relationships in your community. So if you could, you know, first of all, you know, have,
06:10
some AI that's helping you with approving visits, or you have some AI that's helping you with screening resumes or something like that. Any of that time that it takes away from you being with people, whether that be with your clients, understanding their needs or with your caregivers and coaching them and observing them and showing them that they're special and all those kinds of things, then that's kind of how AI can help you is by taking those
06:40
Boring and mundane things off of your plate and giving you more time for more personal relationships. I think that's fantastic. you know, like optimizing some of these repetitive tasks. Yeah, could really be beneficial to us. And on that note, for some of the audience that's listening to this podcast, we have a mix of some people who are using AI and other people who aren't using it yet. If someone wanted to try it out, what
07:10
do they need to do? Okay, great question. So how do I answer this? I guess I could kind of show you, but a lot of people will just be listening to the podcast, but I guess we'll do both. I'm going to bring a screen on the web here and we're going to go into, I guess, like, you I would say the poster child of AI is this one that you've heard about on the radio a lot of times, even if you have music called chat GPT.
07:36
So what I'm gonna say you could do, and those of you who are watching this on YouTube, you'll be able to see what I'm doing, but otherwise I'll talk through it, is I'm going to a screen and, all right, so I'm sharing a screen. I'm going to chat GPT, so you would go to chatgpt.com. And what it's gonna bring me was a screen that looks kind of like Google, right? And it's like, and it just says, ask anything. Where should we begin? Ask anything.
08:04
And so I'm typing in here, you my son is learning his multiplication tables.
08:16
I can't type faster than multiplication tables up to eight times eight. Can you make a quiz for him?
08:35
All right, so I've typed that and now I I spelled multiplication wrong, but I don't even think that'll even matter. All right, but now I'm sending that up to chat GPT and it said, absolutely. Here's a fun and simple multiplication quiz for your son covering facts from one times one up to eight times eight. And it looks like I just gave me this answer and, you know, so gave me 20 questions, you know, three times four. And I could, you know, I can like print this out and.
09:02
know, I can say, okay, three times four is 12, seven times two is 14, six times six is 36. And I can go through and answer all the questions. And yeah, so that's, mean, that's all you really need to do. And when it says ask me anything, you know, like you could ask it pretty much anything and it will, you know, probably give you a surprisingly good answer.
09:24
I think that's really, really fun to use and it's being incorporated on a regular basis. So on that note, we have another follow-up question for you. Like, what's the difference between what you just did with ChatGPT and a Google search? Okay, so slightly a complicated answer here, but so basically when you search Google, you...
09:51
are getting, you know, it's looking at all kinds of things on the internet and it's trying to bring you the best thing on the internet. you know, so you're asking a question and it's saying, oh, okay, great. You you just asked about multiplication tables. Here's something about multiplication tables and it's from LinkedIn learning or it's from Khan Academy or whatever, you know, somebody who's done a really good job teaching you that, or maybe it's from Wikipedia, you know, and it's trying to find like the best thing that it could give you.
10:21
And, uh, but it's, something that somebody wrote, you know, and it's sitting out there somewhere on the internet. And, but when you are asking chat GPT, so chat GPT had like it went and it's going to sound crazy science fictiony, but just GPT went out and it read the entire internet and learned from it. Right. You know, so sounds like a sci-fi movie, but it really understands all this stuff for you. So it's just going to try to, you know, answer, answer your question from everything that it's learned from a whole bunch of different places. And.
10:51
you know, it's going to synthesize different things together and use, you know, the knowledge, let's say that it's gained from reading the whole internet to give you a more comprehensive answer. And I guess, you know, now that I've answered it, doesn't sound that complicated, but what I will say is that, you Google is a really strong AI company, but they're, and they're, they're AI by the way, is I think, well, it's been called Gemini and they're renaming it or something. But, but bottom line is like,
11:18
You know, with Google AI has been a little confusing the way they rolled it out because, people use Google for Google and they've been trying to give little AI answers in the beginning before your search results. And it's been a little bit confusing. So I think that people maybe prefer to go to chat GPT because you're going to ask a question. You're going to get one answer. You're not going to get a list of answers and then also an AI answer and that kind of thing. know, but don't lose track of Google. I mean, they're good. They're really, really good at AI. Um, you know, arguably, mean,
11:48
they could be better than the chat GPT company, which is called open AI. yeah, so they're, yeah. So don't, don't take your eyes off of them. They're, they're super good.
12:01
Absolutely. think that's a brilliant, brilliant answer. So do you also talk to AI and can you show us how to do that? Okay. Yeah. You're throwing me for a little curve ball there, but yeah, you could talk to AI. me actually have my phone here. Let me go to chat GPT on my phone. And actually this will work well for the podcast cause you know, cause people can
12:31
you know, basically hear what we're talking about. I'll have it so we can talk to it and so that it can answer. And let's try, let's try this. Hi, Chachi, can you hear me? Okay, fantastic. Yeah, I, my wife said that she had this cocktail and it was called the Negroni.
12:58
And I have no idea how to make a Negroni. Like, could you tell me how to make that cocktail for her?
13:05
Grown meat cocktail, super easy to make. You just need three ingredients in equal parts. Gin, Campari and sweet vermouth. Here's how you do it. Combine one ounce of gin, one ounce of Campari, one ounce of sweet vermouth in a mixing glass with ice. Stir it well until it's chilled, then strain it into a rocks glass over a big ice cube. Garnish it with an orange peel and you're good to go.
13:33
It's a perfect balance of bitter, sweet and botanical flavors. Okay, well, thank you so much. Yes, you can talk to it as well and it'll give you a good answer. So yeah, that was a good curveball. But you can talk to it as well. And by the way, like when you set it up, it'll ask like what kind of voice you want to talk to. So I chose the upbeat British woman. Well, I really hope we're all invited for the Negroni cocktails.
14:02
And moving on. So what would be three things that a home care manager can do with AI? Hey, perfect. So yeah, so again, the way you think about it is like, what is something that's taking a lot of time, right? So like, let's say that you get, you see this great article or something that you want to read. And, it's, you know, it's like 5,000 words long, right? So one thing you can do is you can literally just
14:32
copy and paste that article into Chat GPT and say, hey, Chat GPT, I don't have enough time to read this article. Can you summarize it for me? And so you could just do that and it'll give you the gist of the article in something that you could read in one minute. So that would be, asked for three things, So that would be one. Another one is that we have to do caregiver training.
14:59
And we probably work really hard on caregiver training and we have like whatever our hands outs are and the materials for the training. And you can take those exact materials and you can, just like I did with the three times three multiplication table, you can say, Hey, you know, like I've made this, um, you know, this, this new training for the caregivers about, um, you know, reporting if somebody sees abuse of somebody with disabilities. And I want to make sure they understand the materials. Could you give me.
15:28
three versions of, you know, three quizzes with 10 questions each. you know, and give me those three quizzes. And then also, you know, could you also make answer sheets like for me so I could, you know, kind of get all that. So that would be a second one. And then, you know, the third one is like, let's say again, you know, and I guess all of these have been sort of related to reading some information and trying to process it for you. But a third one is, you know, we're hiring
15:58
people all the time and they might be just like, showering you with resumes. so think about like, what do you do when you read a resume for somebody who's either gonna be a caregiver or somebody on your staff? And then like, what are you reading in that resume? Okay, well, you wanna see their experience and you also wanna see their certain values that align with your values, right? So this is a case where you might wanna tell it a little bit more about yourself and you might wanna say, hey,
16:27
you're a home care agency owner and the way that you differentiate in your home care agency is that you really believe in empathy and in safety. And I want you to read these resumes and tell me who you think would be good caregiver candidates based on, first of all, they have any experience in home care and reading their resumes and looking for safety and empathy, do you see?
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strong indication that they could be a good person for my team, since those are my values. And then, without longer prompt, it might take you a whole minute to write that in there. And then you give it a resume and you give it the next one and then it scores them in different ways. So I guess those would be three examples anyway, to start out. Hopefully those are good enough ones on the fly. Yes, absolutely. I think they're brilliant. I really didn't think of the resume hack that you
17:27
That's going to be time saving a lot, especially with our home care agencies, managing various tasks. I have another question for you. So moving on, do you think that AI should be a part of home care software system that agencies use? Yeah, I would say so. I so I guess the next evolution in AI is that it's being
17:55
you know, incorporated into different apps and, you know, and just like we talked about some things that might be time consuming in your life. mean, there are some things that are, you know, like time consuming in the software. So for example, we have a lot in encoded, we have a lot of Medicaid clients and of course the visits have to, you know, be, they have to do EVV electronic visit verification and the offices take a lot of time to.
18:22
know, review those visits and say, well, you know, this caregiver cocked out late, this one forgot to cock out and, you know, did it after the fact. you know, and there's all of that. So, we, for example, we have an AI approval assistant, right? So goes through and instead of, you you having to look at every single visit, you know, it'll go through and it'll summarize it for you and say, okay, you know, we looked at.
18:48
the visits from yesterday and your agency did 273 visits and there's 32 of them that have this, some kind of an issue and of those, there were 17 caregivers who forgot to talk out and that's gonna be this certain reason codes you can send it over and the AI assistant will help you put those reason codes in there. But yeah, there's other things that like, think of what takes you a lot of time, right? And one would be,
19:17
going to give like a disability services example. So in disability services, for those of you who do elderly home care is similar, but it's different. And the thing that makes it different is that, you know, in disability services, we're trying to help the person lead, you know, their best independent life in their community and align that with their goals, right? So let's say that their goal is, you know, I want to be able to live in my own apartment and I want to be able to prepare some food for myself. And I want to be able to.
19:44
you know, travel to the grocery store and be able to, you know, buy my groceries. And you have a direct service worker, which is usually what they call their caregivers, who's working with this person against these goals. And, know, and every day they're, as they're kind of reporting what they did, they're saying, you know, Hey, independently, you know, this, uh, you know, the person I'm working with, like, you know, they, took this on themselves, they did it, or, well, I really needed to help them three or four times.
20:13
And as they're putting those notes in, you day after day, you could like say, okay, you know, hey, for the month of January, you know, what progress have we made for Brian in his independent living ability, right? And they could look at those notes for all 30 days and give you a nice one page summary and say, oh yeah, Brian made great progress on this. And, you know, and actually he was getting very comfortable.
20:39
taking the bus to the supermarket. But I asked him, said, okay, now we're gonna try you going on the bus by yourself and I'm gonna drive behind the bus and I'll be there on the other end. Then he would go nowhere near the bus. Okay, so we had that setback, but we had great progress. He's doing really well in being able to use the kitchen and those types of things. You can see the light, mean, and the AI, you'll be amazed how great a summary it could write for you.
21:06
And all that information is in your home care system because it was put in by the direct service worker or the caregiver and you could make really nice summaries of things. And so there's lots and lots of examples of things that you could do with AI. I guess though that while I gave that little demo of either asking a question to the AI or talking to the AI,
21:36
And as you can see, like in most of the applications, it's kind of like a chat interface, right? And I don't think that home care agency owners, like, you know, they're not gonna wanna like chat with their software, right? You know, they're gonna want their software to do its stuff, but, know, so what you should be saying is that, like, you know, there will be like just these AI enabled functions, but you won't even know that they're enabled by, you know, AI. But, you know, if you kind of think about it, if somebody was gonna write,
22:05
specific software to summarize the care experience for Brian over three-month period, that would be some really hard software to write, but that's something that AI handles really well. So I don't know if I answered the question well enough, but that's just an example. So I felt like that was a very comprehensive answer, and now I have another follow-up. So it sounded really good, but I've heard that sometimes AI makes up
22:34
answers or makes mistakes. Is it risky to use AI as a part of home care software? Well, yeah, I think it is risky. Sometimes, you know, if you ask AI a question, it and they'll even say that on the screen and chat GBT AI might make mistakes and things like that. So I think the trick is that we have to ask it things that are pretty well understood. You know, so if you
23:04
For example, if you have used Google Translate over time, Google Translate's gotten a lot better and better over time and things like that. So something like taking your care notes from somebody who speaks Spanish and then summarizing them in English, that's something that you can trust AI is going to do a really good job on. We're doing some experiments with things like, our whole camp schedule for the week and take our...
23:34
caregiver, not only our caregiver listing, but how many hours do they want to work? When are they available? Where do they live? And all that kind of thing. And we're asking AI, hey, could you look at my schedule and tell me some, give me 10 ideas of how I can make the schedule better. And we're training it with certain things like, well, what would make the schedule better? Well, first of all, if we could reduce overtime, that's great. If we could give the caregivers all the hours they want, that would be great.
24:02
personally, you we want to fill all the shifts, right? We want to accommodate everything that our clients want. And another thing that would be great is if the caregiver didn't have to drive as far. And, you know, so you can kind of like train the AI in that way, but if you then threw your schedule in there and, you know, there's a lot of value to your schedulers. mean, they know your clients inside out. They know just intuitively, you know, yeah, this client's not going to like this caregiver.
24:32
Right? And they know that, you know, even though this caregiver is driving, you know, a little bit extra to work with, you know, Mrs. Samuel, you know, like she's been working with Mrs. Samuel for 20 years, right? And, you know, and she's going to drive that distance and she's not going to want to be, you know, reassigned to a caregiver who's, you know, who's close by. So, so I think you have to be kind of careful in the way that you, you know,
25:01
test the AI and that sort of thing. So I feel like when we release that feature, for example, what it'll be doing is it'll be giving recommendations and then it'll be even asking on the screen, how did you like the recommendations? And then our customers will tell us, oh, these recommendations were really good, but this one was really bad because it didn't take into account the long-term relationship between Barbara and Mrs. Samuel.
25:30
And then we would go back and we would try to refine it and we would say, okay, well, how do we make the model better? We let it know, you know, maybe as one of the parameters, how many times has this client worked with that caregiver before? And then we see if the model gets better. So we have to be kind of careful as we use AI and refine it and see how much we trust it. you know, so I guess that's the best answer I could give. I think it was just amazing to see, you know, how you covered all the biases that
26:00
maybe AI might have. Now we are in the last and final question. How should a home care owner decide whether to try an AI tool? Oh, that's a good question. So what I would say is you will see a of things now have, you know, like AI, right? You know, they're gonna say, there's like, you know, there's gonna be like, whatever you use like Instagram AI and, you know, and like I use this.
26:28
tool called Canva for making the graphics on our website and things like that, and Canva AI and all that. And I think the first question you should ask yourself is like the thing that it could do with AI, do I even need to do that? Right. And if the answer is like, I wouldn't do that with AI or without AI, then don't waste your time. Right. I mean, you don't need it. Right. So, so look at the things that you are doing and see if it will be, I mean, you know, like if you read, you know, Hey, it has AI that does this. And that would be pretty valuable to me.
26:59
Um, then, you know, give it a try, right. And, know, and if it's not quite there yet, okay. Then, you know, it's like, okay, well, we gave this one a shot. Let me try it again. And, you know, let me try it again in six months or something like that. I will, I will say just like as somebody who uses chat GBT every day that literally in the last six months, it's gotten so much smarter. Like I, uh, I use it, I would say literally six months ago, I would say, Hey, you know, like, um,
27:26
I'm working on this code, know, what could you say about it? We give me like advice about writing my code. And now it's like, Oh, let me write that for you. Right. And it writes it for me and it writes it, you know, really, really well. And I can ask it harder and harder questions and that type of thing. So I think that, you know, AI is really just in its infancy. And, know, and if somebody tries to put an AI tool in there and it doesn't help you too much, you know, like don't give up on it forever. I give up on it for.
27:55
six months and then give it another try. So that would be my advice. I think that was really comprehensive and I got to understand how it's gotten smarter over the ages. And as someone with in-depth experience using AI and say you use it on a regular basis, what are some pieces of advice that you would give listeners of the podcast?
28:22
Yeah. So I would say that, you know, when you try it, like maybe, maybe test it with some things that you know pretty well and, you know, and see if you like its answer and that sort of thing. Another one is that like, whatever it gives you, like, I guess one example that I could have given earlier is that all of us want to, you know, gain visual visibility in our community and all of you have like a home care website, right? So.
28:52
AI is really good at writing content for your website. So you might say, could you write me an article about five activities that might be interesting for caregivers to do for Memorial Day or something like that, right? And then read the article when it's done. And it's like, I don't think they understand very well that these are our caregivers and they're working with
29:21
like somebody who's averaging 81 years old, right? They didn't come up with good activities. And if you feel like it sort of missed the mark, then just be a little bit careful of it. I think that there's a lot of things that if you start using it and you're like, wow, this is good, but it's always good, it's not great, then there's kind of this discipline of things you can learn and what they call it for lack of a better name is prompt engineering.
29:51
And so what you're doing is like when you're asking a question to AI, that's called a prompt, right? And there's a lot of things that you could learn about how to make a better prompt. some of the best prompts, the first thing you can do in a really good prompt is tell the AI who they are, right? What their job is. You could say, you are the owner of a disability services agency that aims to help people mostly with
30:19
you know, autism and Down syndrome and other disabilities to live independent lives in their home. And based on that, I'd like you to write a blog article for my website, you know, on this topic. So, you know, so the first thing you can tell it is like, know, who you want the AI to be. So it kind of thinks about, oh, okay, this is my role. And then you can ask for, you know, what you want it to do. And then you can tell it, you know, like what you want the results to look like.
30:47
You know, it's like, Hey, I'd like my blog articles to be an average of around, you know, 800 words. So it's rich enough, but you know, like, but I don't want it to be like 2000 words because nobody will want to, you know, spend that much time. I want them to be able to read it in four to five minutes. Right. So now you've told it who it is, you know, what you want and you know, you've kind of put some constraints on what you want the results to look like. So I guess that would be a piece of advice on, you know, how to get the most out of AI. And if you're, if you feel like you're getting good, but not great.
31:15
You know, just give it more information. And also, I'm very polite when I am talking to the AI, which sounds crazy or whatever, but I'm like, oh, thank you, that was really good, but you know, could you do this part better? That's just me. You know, you don't have to, I mean, you're not gonna hurt his feelings if you're not really nice to it. You know, you could say, that didn't really work very well, you you could, you know, this was totally wrong, you just didn't understand. you know, but yeah, I think the most important thing is that, you know,
31:45
If you try it, you're going to find that there's things that it could do. I mean, just think of like the world before Google, right? You know, in the world after Google, right? If you're old enough for that, Sophie, you're probably not old enough for that. You've probably had Google for your whole life and that sort of thing. But, you know, for, for some of us who are older than that, you know, just think of the world, like, you know, how would you live without Google or like, you know, how would you live without Google maps? Right. You know, like you used to have to get a map and, you know, that kind of thing. So.
32:14
I think that you're gonna like AI as much as you like Google Maps and as much as you like Google even, once you give it a try and get used to it. So yeah, going back to your very first question, there's some people who say, AI is not for me. I never wanna use AI. I think you should give it a chance. And I think if you reevaluate, you're gonna be like, wow, I'm really glad that I gave that a try.
32:41
I think that was a really, really awesome set of answers, Ken. And thank you for like diving deep into your experience and giving us ways to use this for like home care agencies and how it could help us on a regular basis optimizing our tasks. So thank you so much for this time. And do you have any few words to say for our listeners?
33:08
Well, yeah, again, it was kind of interesting, know, kind of backwards because usually, you know, I'm the one who's interviewing somebody else, but it was fun to be interviewed today. Thank you so much. did a great job. And yeah, so I guess just everybody, yeah, thanks for tuning in and thanks for your interest in AI of all things. And we wish you a great day. Awesome. Wishing you a great day. Thank you, Ken.
Thanks for joining us today on the Home Care Heroes and Day Service Stars podcast produced by Ankota. You can listen to back episodes by visiting 4HomeCareHeroes.com. That's the number 4, then the words HomeCareHeroes.com.