How Businesses Can Book More and Work Less Using AI with Peter Jung

When it comes to efficiency and optimization, I've noticed that especially for local businesses, you know, they're wanting to obviously run ads, but what I've seen was that there has been a bit of a gap between people actually opting in to learn more information about the actual company and their services and then there's a fall-off between the people that actually opt in and they that actually book an appointment. So, because of that, there is that gap. AI and these different uh automations would really help fulfill that gap. >> Hi, my name is Demetri Bonichi and I'm a content creator, agency owner, and AI enthusiast. You're listening to the AI Agents podcast brought to you by Jot Form and featuring our very own CEO and founder, Idkin Tank. This is the show where artificial intelligence meets innovation, productivity, and the tools shaping the future of work. Enjoy

the show. Hello and welcome back to another episode of the AI Agents podcast. In this episode, we have Peter, the founder of Sync Sonic AI. Their tagline is that they help you book more, work less, and let AI handle it. How you doing, Peter? >> Good. How are you? >> I'm doing awesome. Really excited to chat. I know the the world of um AI and AI assistance, especially in the follow-up and sales world, is something that's top of mind for me. Getting a lot of discovery calls and whatnot, and I really don't want to have to send follow-ups. So, um, since I'm probably in the camp of people that your product would help out, would love to know a little bit more about, um, how you got started in AI in general and then a little bit about what, uh, Sync Sonic does. >> Sure.

Sure. Yeah, I appreciate you having me. Um, and yeah, would love to just talk about AI. Um, I know it's a hot topic these days and it has been for the past couple I'll say two or three years um where it's been really taking off but uh yeah I mean it's really been um uh implemented in kind of uh where I was working um in from from how I started my career it's been in performance marketing with um running ads on like Facebook and Google. So I've been doing that for about eight plus years. And you know even in those days um AI has been kind of uh central in terms of optimizing campaigns. it's been like the backbone of like the algorithms but it hasn't really taken off >> like the LLMs and um like the chat BT and you know it wasn't really

like where you can interact with it but it kind of uh kind of blew up I would say like in the past two to three years and um the reason why I kind of went more into AI is because uh I came across this um viral video where there was a AI talking to a real person. It was like a video and like a recording um a voice recording of the interaction and the AI agent was like um acting as a salesperson for um Apple. >> Um it was trying to sell like their uh what's it called? Like those uh the big AirPod Max or something. Um yeah. >> Yeah. Yeah. Yeah. The ones that hurt your ears >> when it first came out. And then yeah, that video went viral and I signed up to it and it was like a voice AI company

uh that was basically promoting um their license uh for using their um tool, right? And then uh that's kind of um how I really got into conversational AI. This was um about two years ago. Um but uh that company uh turned out to be a scam but um at least it got me into uh the world of conversational AI agents. Um but um yeah I mean I was always uh fascinated with technology since I've been um working with like in tech but uh yeah made that transition into really learning more uh deeper seasonal AI agents and automations and here I am now um working with different companies like helping them set up um AI and also still working on like the digital marketing side of making creatives and also thinking I mean we can discuss this later but also implementing AI with creatives as well.

And by creatives, I'm talking about like video ads and banner ads. >> Yeah. So, my background is a little bit in uh the world of um paid search and uh paid socials. So, that would be actually something interesting to chat about. I could definitely talk through that with you. Um you know, it's uh actually speaking of that, I think on your on your like tagline of what I see for you on LinkedIn, it actually even mentions mentions like 33 million in managed and ad spend. So, it's definitely something that seems to be top of uh mind for you. How did that like kind of experience with um lead genen because obviously that's something that comes out of spending all that money on ads kind of inform you um and what you're building at Sync Sonic to to make the product even better. >> For sure.

Yeah. So, I've noticed that, you know, it's like I mean this that uh million dollar like budget that was across multiple companies and um you know they're all spending ads right and they're they want to do it efficiently and um they I mean for most of these businesses I would say even like uh even local businesses they're all trying to promote their service online or they really um are hard to miss like people won't know that they actually exists unless they're like on Google Maps or like Yelp, but even then it's uh very difficult to kind of stand out across like competitors. Um so when it comes to it, it's really um when it comes to really scaling the business um and thinking about the revenue, they want to decrease their cost customer acquisition cost and increase their revenue if that's how they kind of

uh create that margin um across actually spending money on ads. And when it comes to efficiency and optimization, I've noticed that um know, they're wanting to um obviously run ads, but um what I've seen was that there has been a bit of a gap between people actually um opting in to learn more information um about okay, >> you know, uh the actual company and their services. And then there's a book an appointment. So um you know I saw that there because of that there is that gap um AI and these different uh automations would really help fulfill that gap and um you know at least increase that efficiency when it comes to people actually spend spending like money on ads. Um, and yeah, um, having these automations, >> uh, with like the speed to lead, um, with it doesn't really exactly need to be AIdriven

in the first place. Um, it could be like an automation that's like sent via email or even SMS because people are Yes. If you're thinking about it, they're they're giving us their info, right? They're saying, "I'm interested >> so we can use it, right?" And then uh, yeah, I mean, they're they're requesting uh for more information. And so you rather get to them um that touch point as quickly as possible. So yeah, we have automations set up in that aspect and then um if people reply or you know show additional interest um that's when AI will take over and continue on the conversation to get to the final objective. The final objective is really different um company to company. Sometimes they're trying to sell something online like e-commerce. Um we would send like a payment link. um the others they're trying to book appointments. So

that would be like a schedule link. So yeah, I would say um you know throughout my experience I've learned that people are spending ads uh money on ads and they're always trying to reduce costs either through creatives um creative optimization but there's that additional thing that we can do with automation um and AI which is the next step after people click on the ads which is a bit more of a downfunnel metric. um um in the in the downfunnel um kind of stage of the sales cycle. So I think um that's where AI is definitely helping um I wouldn't say it's replacing humans, but it's definitely um helping optimize um and uh making that funnel more efficient as well. >> Well, yeah. No, I think that's totally some something that I I think makes a lot of sense that that you're calling out is basically

there's direct things you can do in ads to kind of make the the performance better, but there's also this like other part of the process, right, that um maybe ads managers don't even have like the capability to help or manage it like an agency. But, you know, with what you're doing, it essentially makes the process all just like work a little bit better to get those conversion rates up, whatever it may mean. And I think there's a tagline on your website that I mean truly speaks to it, which is miss calls does me mean missrevenue. I can't tell you how many times I've had a conversation with somebody um that I was like, I just want to eat lunch and skip this call, right? Where afterwards like it ended up turning into a to a client and I was like, "Yep, I'm glad I didn't

make that like mistake." Um or there was a time where I sent a follow-up when I just felt like I needed to and maybe the person was like, "Oh yeah, I needed to reschedule. Thanks for sending me an email." And these little things really do um add up so much. >> No, absolutely. And yeah, I'm I'm on that same boat as well. Uh I was there was a point where I was taking like 20 to 30 discovery calls per week and it gets tiring. Um it's like a very repeatable process where you're saying the same thing over and over again. And yeah, I rather uh have AI handle it for me. >> Yeah, absolutely. Yeah, I I really like um the uh you know kind of approach of these AI tools helping you out in like incremental levels so that all the different annoying things

in work can kind of be helped. So like for me I would have a lot more energy to go on calls if I didn't have to do all these follow-ups. And while I I I'm a decently um let's say uh capable automated automation maker um it does kind of get to the point where sometimes I just want an out-ofthe-box solution. So, you know, tell us a little bit more about how Sync Sonic and the AI agent like Amy kind of helps to uh really lift the burden of of those types of things off of people uh pretty quickly. >> Yeah. So, I can give some examples um of a uh case where we're actually using um Amy AI, which is our AI receptionist. >> Yep. >> Um that's working 24/7. Um, so it's actually uh being used practically in a medical clinic right now um

that I've been helping out since March um this year. um they're in Georgia and they're they are a brickandmortar um clinic that uh is open three times for a week and you know they had that burden um of you know uh coming into the office seeing you know a ton of missed calls and they would have to actually follow up with them um on their days that they're in the office. So yeah, I mean it's not like the biggest clinic. I mean they're doing around like uh 10,000 to 20,000 per month at least when they started working with me. So you know uh they needed a way to kind of uh leverage AI and these automations um because they were limited. I mean they had a team but um you know they would have to kind of juggle different things um at once. So yeah

they they wanted to set up an ARI receptionist. So now Amy AI um is working to handle calls, all inbound calls um 247. So uh when you call the office right now um seeing their Google uh profile, Google Maps and if you just press the call button, it'll be Amy AI and that picks up um that schedules appointments, answers any questions, reschedules, cancels. Um it can also uh remind you of when your appointment is as well. So yeah, it's definitely taken that burden off of that team um of the clinic. Um and they don't have to follow up with them anymore. Um and yeah, last time I checked it's taking about like 200 calls per month. Um which is great. Yeah, it's it's saving. >> That's crazy. Wow. >> Yeah. >> Gez. Okay. So 200 calls. Um, and I guess kind of speak a little

bit to my main, you know, thought question with this kind of stuff is the the human um, element and kind of like how how the interactions go. So, tell me what makes uh, Amyai uh, so good at, you know, being able to handle all those calls. And I'm sure there's a level there of um, let's say skepticism that everyone would have. Hopefully, you know, that that's that's probably healthy and common, but what what kind of makes it um, human, right? >> Sure. Well, the thing is, um, I've noticed that, you know, people don't like to be deceived, um, from a lot of this industry, right? So, it's actually better to be upfront about it, like, uh, it's just, you know, um, just saying upfront before, you know, uh, when when it picks up the phone. Um, at least with the clinic itself, like they kind

of have to, uh, mention um that, you know, this line is being recorded. Um it's you know like statement purposes as well like compliant purposes as well. So >> this client is this line is being recorded. >> Exactly. Exactly. And also mentioning that like I am actually an AI assistant. Um but you can talk to me like a real human. Um and we'll still you know >> just expectation setting. >> Exactly. Exactly. Just expectation setting so people are aware. Um, so it's like a better version of those uh, you know, the different call recording stuff that we had in the past where you have to like press zero to actually talk to a real person, but people still do that. um when I'm listening to like the call recordings, I'm seeing that people are still trying to skip uh the AI part, but um I

mean you really can't in this case, but uh the thing is um at least with this, you can um talk to it and we have the LLM working in the back end to be able to interpret um what the person is saying. And it's actually sometimes even better than what um a human can come up with because it has all the answers in the back. And even if we don't prompt it with a knowledge base, let's say um >> like we don't actually add that information about a certain medicine um that in in the knowledge base of that AI, it would still be able to retrieve it from the LLM whether it's using open AI claude like it still has that information. So I would say it has more information that it can actually uh present versus an actual pressing can. How's the person going

to memorize all that information? You know what I mean? So, um I think in that >> Yeah. No, that's a good point. >> No, that's a good point. And I just out of curiosity, um you know, obviously rag is something that was like kind of popular term for a while and whatnot. So, with these types of training, um the way that you can get this agent to be better and better, how necessarily are you going about training it? Um, and what do you think is some of the most common instances of calls that it would be good for? Cuz I think, you know, I see multiple applications, not only just in sales, but what other industries do you feel like and examples? I know you have some testimonials on your website. Um, do you feel like are common ones that you've seen? >> Sure. Yeah.

So, I've actually applied it to different industries. Um, and you know, where I'm kind of gearing towards is more on the inbound um, receptionist type uh, setups because um, you know, I've tried the cold calling. I've tried like the sales aspect of it and so far I don't think it's really I mean it might just be personal opinion but I don't think it's there uh, it's there just yet. I think even with sales like um people are wanting more of a personal touch at least from what what I'm thinking and it might just be my opinion but um you know when people want to I guess uh you know uh learn more about something um learn about a service or whatever the offer is. I think they still want a personable touch. Um with AI there's still a bit of a latency. So if you

like talk to it >> how long? um it's like 1 to 2 seconds like depending on like what you're talking about. Um sometimes it speaks pretty quickly, sometimes there's a bit of a lag. So that actually definitely drops that like personable touch and people may be impatient like with the world that we're living in right now. Um they attention span is very low, right? So even within that yeah >> like couple seconds people might be impatient, right? Um, so yeah, I I think at least the direction that I'm going right now is more on the receptionist side of things where uh we can handle inbound calls if there's already inbound calls happening like for example the clinics that are taking in inbound calls from existing or new patients um that want to inquire um to the clinic. That's one example. Others are could be like

customer service. So, I'm putting a proposal to a company uh for a customer service setup. Um they're doing like a B2B um like uh they have a warehouse with like different products that they're uh servicing or any like after um like after purchase support in case like the product gets broken, it needs more servicing, they need replacements. So, those are all like inquiries that are coming in I think. Um in terms of inbound we can definitely use AI um because you know I think at that point the people have already been converted and they have specific requests. It's very like there's not too many outliers when it comes to the input of data if that makes sense. Um I mean same with sales as well like there there's there shouldn't be too much outlier but I think there's more of a rapport um building that's

needed. Um, of course you can still use it for like appointment setting, but even then, um, I think it's still I don't know. I guess it really depends on the person as well and depends on like the industry as well. But, um, at least from what I've seen, I think uh, it might be still pretty good to uh, yeah, use a person um, for like appointment setting. >> No, that's totally fair. I think um that's uh that's that it's it's interesting with I don't know these types of things cuz I agree with you on the rapport building. It's so important and like I'm I'm going through a process right now of having a better sales system and trying to implement that with people and I'm trying to understand how I can um better use AI with it. And some of me does feel like maybe

some of the more complicated um offerings and stuff or like when you have to put proposals together in between maybe don't work as well with these. But I do think for more basic like brick and sorry I said brick and mortar um uh brick and mortar businesses would would probably be helpful. I think uh offices of any kind that are you know the doctor realm or whatever I think can really benefit from this um type of stuff. So, no, that's that's um that's really interesting to me. I did have another question that's kind of around um this agent thing in general. How uh many people are on your team? >> Yes. So, in terms of the actual like agent automation um side of things, I have one full-time developer that does >> nice >> and manages like all these different automations and AI prompt. Wow.

>> Um, and then, uh, the two other people that I'm working with right now are, you know, like CRM experts and then like a performance marketer that like, you know, helps with the creative building, um, uploading the ads and yeah, the CRM expert does like the landing page buildouts and also just setting up um, like uh, and making the connections from the different workflows and like the CRM tools that we're using currently. So that's kind of uh the stack that I have for the AI and um like the performance marketing aspect of things. And then I have this other team that does um a lot of the fulfillment on uh UGC requests. So these are like a video request offer that I have for building out user generated content for ads. Um they're not exactly performance based. It's more like deliverables when there's requests that

come in. Um it's more of like building out the creative brief. Um then it's ideation to actual um uh production and delivering the end video product. Um I mean it's not really AI based per se, but I'm trying to see if I can um uh experiment with AI on like the banner ads. Um that's that's uh a work in progress right now with the AI developer that I have. Um but at least in that front there's like four other team members that are building out those you just see like video editing and um yeah the project management of things as well. Yeah. >> No absolutely that makes sense. And you know I I I did it does seem like you have a pretty small and lean team but obviously you're an AI first company as you are an AI product yourself. Um what do you

think the landscape's going to be like? Um, obviously seems like your goal, I'm guessing, is to help people not have to staff up as much in regards to like customer support and like basic sales type stuff. So, how do you think the land shape's really going to continue to shift um in the upcoming years uh team size-wise with uh not only your own company um which I'd love to hear about, but other like the industry as the >> the total landscape as well? >> Sure. Well, in terms of total landscape, I know um there's been a lot of like news lately saying that there's a lot of investment that has been going into AI, but um in terms of actual like practicality, it's not been too great. Um so yeah, I think there may be some type of misconception. I think there is like this

whole conception of how like AI is going to take your job. AI is here to replace human workforce and all that stuff. But I think at least from my uh point of view and just my use cases so far, it hasn't really been that extreme. It's more of I think how AI can definitely help um replace and help like uh automate tasks but they don't actually like replace humans. So I think we have to really um expand and broaden the education of AI and that's something uh I'm really thinking about um investigating further into um I think there could be a lot of um uh I guess um opportunity in terms of uh just being able to educate people on AI like a training type of program um that can be useful for like enterprise um companies um enterprise level companies and then in terms

more of like the small to mediumsiz businesses, they have a lot of tasks that can be automated and they're a bit more nimble as well. So, in terms of at least my goals, um it would be like setting up more of these like proposals to these small tomedium companies where a lot of these uh tasks that they're doing um can be um automated uh with AI. So it'll require like an audit of what they're already doing. And you know um as it's it's really interesting um recently I found out that like the the bigger the company like uh when you open the can like there's a lot of worms um there's a lot of manual um tax being taken care of uh the bigger the company. And yeah, it's it's really interesting to me uh that you know um for a company my size is

which is pretty lean maybe like four people four to eight people that are working on AI were actually utilizing a lot more automation than something that's like a public company uh that has a ton a ton of people u working for them. So, >> do you think that's like the capabilities there come out of just being a more like being able to be a more lean like um company because of your um I guess the word I would say is uh you know ability to move fast on things, right? because it's just it's so honestly it is so hard nowadays like when you get into big companies there's just a ridiculous and I mean ridiculous a ridiculous amount of red tape um around these sorts of things and it just feels like it's nearly impossible to um kind of take the uh to take everything

and um get going on an idea, right? Like I I even have it in my own team when like there's someone in their process at the marketing agency. They're like, "Oh, I don't want to like change what I'm doing or I don't want you to change what I'm doing." Sort of thing. And like the bigger the team, it almost seems like the harder it is to kind of move on these great ideas that uh people have. >> Yeah. With automations, >> there's a lot of hierarchy and a lot of back and forth. Um I think that's just what happens. I mean, it's the nimleness of the smaller to mediumsiz companies. um for the most part uh at least from what I've noticed is that yeah those type of companies even like the uh the higherups of those companies are still working um towards reaching a

certain goal. So you can kind of >> um directly talk to them um and kind of work on these new proposals and implement changes pretty quickly whereas like the enterprise um it's kind of like bottom up. you kind of uh you know propose to somewhere someone that's like maybe in the middle of the hierarchy and then they have to talk to the higherups. There's a lot of comm communication and compliance is a huge thing as well. um personally for the bigger companies >> um security measures. So a lot of that is I think a lot of barrier to entry um a lot of friction as well to test out new things and yeah we're just missing that nimleness um that that the smaller small and small to mediumsiz companies have which uh yeah is definitely a benefit for them to um test out these new

uh AI products. >> Yeah. like for for just you know the sake of continuing this conversation on uh kind of how as a company you've you've grown using these tools what is it like I guess when a new model comes out or when something comes out like we we I even just like said to you before the the recording started I'm like dude did Gemini 3.0 No, just drop. And um which means immediately my mind mind's going to what workflows do I update my model on, right? I'm um I run like a marketing agency that's tailored towards SAS and the metrics just dropped on this thing. Um and it's a screenshot pro um metric is 72% and the next closest screen understanding model was 4.5 sonnet at 36%. >> Okay. Wow. So it like completely it seems like and to me that matters to other

people it doesn't right. Um just kind of curious what your mind goes through when you see this because as a company you have your operations that are fundamental to growing your company and then the core competency that you provide. What is it like from a from all those different standpoints? Marketing coding I'm sure right all these things. What is it like? >> Sure. Yeah. Um yeah within the last two years there's been a monumental shift um even with like conversational AI agents um of course it's improving um which is great >> but um yeah to your point um you know there are tools that we're experimenting and then as we start experimenting there's a new one that comes out and we had to like adapt to it um which is a bit of a stress to be honest um because we were just getting adjusted

to this new one um but uh yeah I I think it's just part of the industry that we're in. If we're wanting to use AI, we have to adapt to new tools. Um it is a bit frustrating because uh you know, you always constantly have to be doing research and development. Um but I think >> sure to compete. >> Yeah, it's just the way of the game. Um especially just being in this industry, but um yeah, what can you do? Like it's just like if you're in AI like you either have to adapt it or you're basically dead, right? So yeah. >> Yeah. No, but I think that's a good mindset to have because practically speaking, I think the companies that aren't going to implement them over the next fiveish years are going to be left for dead, for lack of a better good phrasing.

Um, you know, small companies like yourself, um, can do so much more work. I mean, I think the biggest area that this is going to help is brickandmortar and like bluecollar companies that like there's apparently this idea that is coming up with um, people my age. I'm I'm in my late 20s. So, a lot of people have built up some capital um and in their 30s who have built up some capital are like buying up old uh brick and mortar companies that are like inefficient that are already established and just AIing and automating the crap out of them >> and then and then growing them and then selling them to private equity >> when they're done because you know it's >> it's like these people are overstaffed by like 5x and they're just on because they don't do any and because they don't do anything

from uh automated standpoint. >> Yeah, that's >> the AI private equity approach. Um you implement AI and then uh yeah, automate a lot of the manual work. Yeah. Increase profitability. Yeah. And then just sell it all. I think that's pretty great. >> Yeah. Because a lot of it's just pure margin, man. Like you just get the cost down on time to deliver. Yeah. >> Like even um there was a not always removing jobs. I know that's always where people's head goes, but like I was thinking about it for like I don't know an a HVAC company or even like a plumbing company. Like the reason that people I'm sure are slow to come to your house and they don't get to do as many jobs per day >> is their route optimization is bad and they don't have the proper things on hand and they

keep having to go back to home base. So I'm like if you literally just solved that with AI, I'm sure like that plumbing company would do like 30 40% more in revenue, right? And you know, easy. >> Yeah, that's this like optimization um revenue optimization. Um that's that's terrible. Yeah, that Yeah, that's >> No, that I mean that's practically what it is with working with a lot of these like blue collar companies is like, "Oh, you have an appointment here, here, here, here, here, here." >> And it's like that's why you get the answer of what time is the plumber coming? And it's like 3:00 to 9:00 p.m. It's like I don't know how you met. >> Oh yeah. No, I get that too. Yeah. >> Happening. It's just like when are they actually coming? >> Yeah. And it's it's just because they're probably on

old organizational systems. So, um but getting back to a little bit about what you do, I I do want to cover off on um a couple different things. So, it said I I I saw that you were um uh the winner at Founders Live in San Diego. Is that correct? >> Oh, yeah. So, I don't know if you're familiar with like Winners Live. Um but uh >> no I'd like to hear a little bit more about that. Yeah. >> Gotcha. Yeah. So it's worldwide and what they do is basically have these uh meetings um like pitch competition. Um so it's pretty open invitation. >> Um but in terms of the actual pitch competition, you have to apply to it um maybe like a month before. And yeah, they pick like I mean it's usually like five to six um startups that uh come and pitch

and then you know people that are attending um it's an open invitation. Anyone can just come in um listen to the pitch um usually it's most people that are like either founders or interested in you know starting a new project uh new company. So yeah um it's worldwide and then um yeah I went to it because I wanted to expand my network um just like with other founders as well. Uh but uh yeah I decided to you know um pitch myself and a funny thing is um I I I think uh 80% of the pitch was done by my AI assistant. So basically showcasing the product um and how conversational AI works. But uh yeah, it it actually uh made me win um the last uh competition. So I got a lot of uh great benefit out of that because um they they do give

some a lot of uh these uh like packages um where you can get a lot of these like software credits and um access to all these different um things and yeah, I got pretty good uh benefit from uh doing that. So yeah, I'm really thankful to uh >> That's pretty dope. That's awesome. That's funny. You kind of went on that went there and it wasn't like um something you're expecting to win from, but like you did. >> You're right. You're right. It's literally my voice AI agent like uh me my me myself like conversing with the voice AI and uh yeah, it was a I guess it's kind of stood out to a lot of the people. Um so that was great. >> Oh, definitely. I I could definitely see that. No, I mean that's that's one of the reasons I reached out is uh

what you guys are doing are pretty cool. So I could see um that being how it played out. um what's kind of your goal for the next um few years? Like what's the ethos of the company? What's what what what is the reason behind why you're doing what you're doing and where do you want to go from here? >> Sure. Yeah. Well, for me, you know, it's always thinking about like how can we like optimize and uh make businesses more efficient. So, it's really about helping like business owners um like myself um whether it's enterprise or small. I mean, we're kind of slowly diving into enterprise recently. Um, but yeah, I would want my solutions and whatever we build uh for companies to really help them, right? I think that's the main ethos of the company. But in terms of what and how uh we

do it right now is with AI and a lot of the automation buildouts, I think that's going to really remain the same u throughout uh my entrepreneurial journey, at least with this sonic AI company. Um the goals right now is really there's so many opportunities and I would say um the shiny objects that are that I'm facing like dayto-day, right? So it's exciting but at the same time it's overwhelming and it's stressful because you have you know you we're not we're limited by a thing called time, right? And there's not much we can do um until we actually explode um because you know our brains are full and if you don't have a focus you're not really getting anything done right. So that's kind of where I'm at right now. Um I feel like there's a lot of different opportunities at hand. Um a lot

of uh people that are wanting to work with me as well in terms of um the automation AI all these different things. Um but it's just like which area should I focus on? Which area is most scalable? Um which area would actually provide that value um that remains and is parallel to the ethos that I mentioned like where can we help what industry can we help the most? Is that is it also scalable? Um where where we can also you know grow from it. Um, so it's it's kind of a I'm kind of stuck in in that area right now because I' i've been working with clinics. Um, but I'm still always wondering and contemplating if this is the right approach to go to because um >> yeah uh every even within clinics, every clinic is a bit different. Um sometimes it requires a bit

more custom work. Um, so yeah, I'm trying I'm just trying to see um if the service that I'm providing can also be like scalable, can be kind of packaged into something that we can just somewhat like copy and paste so we can handle more um clients at the same time. >> Sure. No, that's totally fair. Um I really appreciate that. I think it's uh it's a good vision to have cuz my my big thing with AI is I don't think it'll actually do the whole job like that apocalypse that people are concerned with. There's usually like three categories I'd say that people's opinions fall into. We got like apocalypse, right? I think it's the least popular opinion actually in pop culture. >> I would say it's the weird winner. Um because it's just like the thing to say. not in the people who are in

the AI community that are like actively doing it. Like I've interviewed it has to be a hundred people at this point on the show. There's been like nobody saying we're we're cooked. >> And um now that could be because it's the wrong sample, right, of people. Um but people who are aware of how it works, I think maybe have more to >> more to stand on than people who aren't really familiar with it, right? Um, number two is kind of like we will see a job apocalypse, but it will make a bunch of uh companies that are kind of like you and where you know it's an extremely lean team with people who are like doing a specific service with AI agents uh helping support them. And then the other opinion is like and where maybe I I fit in somewhere between one and two.

I think both could be true at the same time. The last one would be that I agree with maybe the most is day-to-day jobs will become increasingly less nonsensical from a monotony standpoint, >> right? like the second that we start getting to the point where we have cloud compute being able to interact with the screen a little bit more and obviously with AI browsers. I think this is going to be a thing when we start having that um that with MCPs mixed in. I think we're just going to have access to so many things that since we're already kind of past the point where I don't think it's like reasoning or token limit or like agent runtime anymore. It's more like access to clicking stuff on a screen. And once we hit that point, I think we'll basically make it so that all the nonsense

work is a little bit like reduced or significantly reduced. So people are going to have more deep jobs. My only contention that kind of fits into the apocalyptic section is like I do think associate level work is definitely going to be under fire because most and this is try I try to I try to hedge every time by not insulting people. I don't think people realize how associate level work is valuable. However, it is essentially just a complicated set of if then logic. >> Oh yeah. >> Right. Because a manager just checks whether you follow the if then, >> right? >> And practically speaking, once we get to the point to where all the end points, whether it be through MCP across everything andor agentic clicking exists, we will then reach the point where if we have all the SOPs for this if if then

stuff, the agent can just do it, right? And this is like two this is like two years away like at at it may be like the earliest and maybe also I could be undershooting it, right? And people I say that to people like in my day-to-day and they get a little freaked out, but I'm like but that that would also mean that everybody has to like step up their game a little bit. And I think that will make jobs deeper and more valuable, right? Cuz if everyone didn't have to do this nonsensical click clack BS, I think the world would the world like you ever seen the show Silicon Valley? >> I did. Yeah, I watched it. >> Right. You know like how the the trope in that show is we're making the world a better place. the the tropes I don't >> the the

trope of that show is that the tech founders would always say making the world a better place by doing >> that's a common thing in in Silicon Valley. >> Yeah. It is actually I love that show because it seems to be actually really accurate to the to the to the world over there. But practically speaking if that's where we get actually that would make the world a better place because no one wants to do that crap. >> Right. Right. Yeah. I mean that's less also work for like offshore VAS as well for like very simple tasks. So I guess uh it'll impact them as well. So I guess um I mean you know you can learn it. I don't think it's actually not that hard to uh you know um learn about these tools. It's actually I mean I'm not a developer myself and >>

um I think you must uh learn how to set these automations up. Um and it's actually getting easier. So I think uh yeah I don't think people need to freak out about it either because um they can like take some time to learn it as well. I don't think it's that difficult, right? >> No, absolutely. And I think you know it's it's fair to kind of call out how you are somebody who's in the world of of AI. You're building a product and you're not a developer, but you're managing to to make these changes. So it's it's pretty cool. I think you might be one of the examples of that like tier two that I was talking about cuz it's um I think I think um there's nothing wrong with having more small business owners. I think it's a good thing, you know, >> for

sure. >> You have this one thing you're specifically into and you can really get deep on that specific thing. >> Yeah, it's just >> Yeah, really going into the pain uh pain points of um you know, whatever industry that you're in. Um if you can, you know, have AI or automation, you know, really relieve that pain, I think, uh yeah, you're golden. Yeah, absolutely. What are your thoughts on the um kind of uh favorite things that you use in a uh I guess day-to-day manner that's outside of the context of of what we've been talking about, right? Like what what do you what really gets you going and excited um in just general AI usage for yourself as a founder? >> Sure. Well, I really kind of compare myself to um like five years ago uh where we didn't really have all these crazy tools

and >> it's gotten just like so much more convenient. Um I can just share an example. I don't know if you use an AI noteaker like Fathom. Um but uh it basically is um you know I work remotely so all all of my meetings are um like on Zoom and you know what these AI note takers do is you know they obviously record the call and really pull out the main bullet points of the conversation that I had and not just that it adds that into my uh project management board. So it creates that automatically into tasks and then and then from there I just need to assign the correct people to those tasks and that itself I think is a like a part-time job that anyone can take over. So I think what's really exciting is the fact that it really liberates you um

from >> absolutely man >> do all that that thing and as an entrepreneur it's really exciting right like that liberation and that freedom um just from implementing technology uh it really allows you to um expand your time to do more things um and then just being able to also work remotely I think um is exciting as well. I know we discussed a little bit about like uh where where we have lived before but um yeah hopefully uh I can also uh move out and work somewhere else uh in a in a in the near future. So I think that's something I'm looking forward to as well. So I think I'm working towards those goals like being able to um liberate myself um automate a lot of my tasks and be able to work uh from different countries and by traveling as well. I think that's

really exciting. Yeah. What is the one thing that you want to I Well, we're going to close out the episode real quick, but just before we do that, what is the one thing that you're really excited about that's going on um with your product that you are excited to um whether it be announce again because it's a new feature or something that you're working on that you're excited to kind of um continue to work towards. And uh >> yeah. >> Yeah. Uh yeah, this is the perfect time to uh bring it up. But um yeah, I know uh earlier I mentioned that um I'm working on like uh a creative generation with AI. So that's really exciting. Um yeah, it also kind of uh takes away the job from like actual designers, but um there's not really much to uh actually like edit on Canva

anymore. Like even Canva is such a great tool and they implemented AI and it's gotten so much better. Like uh you know also comparing myself like five days ago I I'd be more used to like you utilizing like Adobe Photoshop or like Adobe Premiere for video editing. Um now there's much quicker tools and now it's even like AI that's just like designing um the whole thing and you're basically vibe designing like vibe coding um as well. So you're basically just prompting um AI to uh design um like ads and even videos at scale. So um >> wow, >> it's it's just uh what what what what's been in the works. So um just to give you a bit more specific rundown, it's basically we can use a AI scraper. Basically um there's this tool called foreplay. Um we're using the API. It basically scrapes all

the ads that are out there. Like, so let's say we're wanting to, you know, search competitor ads for um some type of ecom company. We can take all that data um analyze the ads that are winning for the competitors, seeing why it has won. Um and then we can also take those designs and um take inspiration from those designs and then uh make a spin-off to our clients. um company's product and then it would just spit out multiple versions um including that product or that service um as ads at scale. So yeah, never has been um a time where we can do that u without hiring an actual designer. So that's really exciting. Um it really kind of uh shifts the paradigm of um you know ad testing you know um you know I' I've been in like the ads uh market for a long

time now and you know before it would just continuously be um like crunch time for the video editors the designers when we want to try to scale up a campaign we would need a bunch of creatives created but now it's just in the matter of couple seconds, you can test and produce a bunch of new ads. So, it's really >> Yeah, that's incredible. >> Yeah, it's a wild time. >> That's the That is crazy. I um I really like hearing that. It's uh you know, it's it's m it's wild to me that working in ads um a couple years ago, how much it's changed. You know, you had to really have so many different moving people and components with different specialties. And I'm not saying those people aren't still valuable. like maybe they'll be able to analyze which is the better output or whatever. Um

but practically speaking like they're going to get their bandwidth and their brain freed up a lot because this this kind of stuff is um is wild. It's wild. It's cool. Um yeah, it's um that's great. That that's interesting. I I remember even having to deal with uh I think we had a vendor when I was at a marketing agency that was like sending us stuff and then someone internally would also do it sometimes. It was kind of all over the place. It was very very disorganized, but this hopefully could streamline it for people. >> No, for sure. Yeah, it's Yeah, it gets pretty uh messy when there's a lot of people involved and a lot of different uh files that need to be organized, but um yeah, it seems like uh at least from the test that we're doing right now, um even on the

free version of like uh Nano Banana, um you're still able to produce a lot of these ads. So if you aren't listening and if you are an advertiser, I definitely advise you to check it out. Um create some ads yourself and yeah, you can use uh automations for um scaling as well. So >> absolutely. Well, with that being said, thank you so much for um making the time today. I appreciate it. Um please everyone make sure to check out the product that we covered today as well as Peter here uh at Syncodic. So, the website name is uh you know, there's a couple different ways you can put it in. You can put syncs.ai uh and it'll redirect you, but it'll be the right website. Um, but anyways, if you have any other uh questions or comments for myself or Peter, make sure to leave

a uh comment in the comment section down below on YouTube. And don't forget to leave a like, review the podcast on Apple Podcast, Spotify, etc. And with that being said, thanks for listening and we'll see you in the next one. Bye. >> Thank you.