AI Agents & Autonomous Workflows with Samim Safaei Siift ai | EP 131

We're fortunate enough to have a bunch of, I guess, founder friends or networks around best that we leverage. So we started doing a lot of customer interviews, customer discovery, validation, type of work. And we got a range of different things. I think one of the patterns we saw is most founders don't even know what they need help with. And they have like sometimes very superficial things. I go, I need help with fundraising. You really need help with fundraising or if you're really hitting the wall with that, maybe there's an underlying reason, right? Maybe you're just not ready. Maybe you don't have right network or the right context. Maybe you don't have the traction that you need. Hi, my name is Demitri Benici and I'm a content creator, agency owner and AI enthusiast. You're listening to the AI Agents podcast, brought to you by JotForm and featuring our very own CEO and founder, Ida Kintank. 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 Agents podcast. In this episode we have the founder and CEO, the members of IE. He is the founder and CEO of SIFT AI. I'm really excited to have him on today. How you doing, Sivan? - So good, Demitri, how are you? - I'm doing awesome. Really appreciate you for making the time. - Thank you. - I know that we've kind of ping pong this a little bit for a while, so I'm really excited to finally get chatting with you. What would you say first and foremost was kind of your story as to how you got into AI and then after that, how you hide the idea for SIFT? - Yeah, sure. So I got into AI a couple startups ago, except as my fifth startup, but my third was actually in the music space. We basically developed a music visualization platform. So something like a smart disco ball that could visualize the emotion that you hear in music. And we had this whole strategy, and this is pre-GPT days kind of of training in ML model and mapping the sounds that you hear to the audio, from the audio spectrum to the visual spectrum. And that kind of got my curiosity peeking because I'm an engineer by trade, but very much like product focus and kind of trending more towards product over time. So I started to see the magic of how AI could really fill some of the gaps and solve some of the really tough problems that are out there. So yeah, that was years ago now, but over time, I started to kind of see after GPT came out and all the generative AI stuff that there was a huge boom in what people could create. Myself included, I was tinkering a lot with different tools, but the kind of support and the kind of guidance that entrepreneurs had still was very minimal. It still felt like when I was doing my first startup, and even though it's kind of mainstream now and people are doing startups and there's lots and lots of founders compared to over 10 years ago, there's still a lack of support guidance for those people. And so we got to thinking about, well, you know, chat GPT's cool, cloud is cool, but they're not really geared towards the founders journey and helping people turn their ideas into viable businesses. And so that was kind of like the genesis of SIFT and that was just under a year ago now. Last May is when we started it, and it was really cool because me and my team have a lot of experience building products and being founders before the AI age. And so, you know, we read the books, we know kind of the frameworks and stuff that used to exist and are now in the process of adapting those and mapping those to kind of more AI-natives. Work flow and AI-natives kind of like tool. - Yeah, so talk a little bit about what it was like to be in the realm beforehand and kind of how you've seen it quickly change and adapt. I know that there's a lot of different people who are coming at this from this perspective of only having experience where we're at now and not really seeing that transition. - Yeah, sure. Back in the day, gosh, this makes me sound old, but back in the day. - Back in the day. - We would follow frameworks like Lean Canvas, we would read books like Lean Startup, and we would try to apply or kind of manually do a lot of the strategy or the thinking around how to build a business. It was very slow, it was very granular, which in a way was good 'cause it made you think about things. But as you can imagine, there's a lot more barriers there, there's a lot less that you can get done in a day or in a week. And so it was much harder, a much bigger commitment for you to try to build a business. And nowadays, even in our last project before this, we used chat GPT and it was great. It did very quick market research run for us or it would go in brainstorm ideas for us. But we found that as you were kind of evolving your business or kind of iterating, which is inevitable because you're never gonna get, right on your first guess, across all the different components or all the different aspects of a business, right? You need to kind of like experiment and iterate. And the chat GPT, we were using the eyes that exist now, even today, they're not really built for that like iterative, kind of like ideation and context. They hit memory problems, they hit scaling problems. And so we kind of couldn't pivot or we couldn't evolve our business after a year of using this chat GPT or using this project the way that we normally would have done. And it was kind of worse because all our context, all our suggestions, all the kind of like Intel was baked into this GPT or baked into this project. And we couldn't really surface it or we couldn't really like adapt it in an easy way. So in some ways, we were actually flying more blind using chat GPT as founders than we used to be when we didn't even have access to those tools. - Yeah, and we were actually talking a part of the call about some chat GPT stuff. And maybe we'll get into that later in regards to the inevitable downfall of OpenAI. Just kidding. But how, when you're going about building a product, I know you know, we're really excited to see what you're doing as this is about the launch. How did you go about figuring out what is a priority to people, versus what's out there already? What was kind of your approach on figuring out how to fill out, fill in those gaps, so to speak? - Yeah. So we're fortunate enough to have a bunch of, I guess, founder friends or networks around best that we leverage. So we started doing a lot of customer interviews, customer discovery, validation type work. But you really need help with fundraising or if you're really hitting a wall with that, maybe there's an underlying reason, right? Maybe you don't have, right, network of the right contacts. Maybe you don't have the traction that you need yet for that, right? So it could be a whole bunch of different things, but it's tough to tell people that and it's tough to articulate that, especially as founders. And again, I'm talking about myself here, but you get very precious about your idea. It's your baby and it's very hard to trust somebody who doesn't have anywhere near as much context or anywhere near as much insight into the situation that you're in to give you advice. Because you think, oh, they don't get it. They don't know it's a thing that I know or they don't understand the market. It's deeply as I do whatever it may be. And so it's tough because a lot of these founders are isolated and they don't really even have a clear understanding of their problems. But we did see a lot of patterns over time as we started to do more and more rounds of testing. We saw that a lot of people had that issue actually in a more kind of simple way. They didn't even know what to ask of the chat GPT. They didn't know where to go with it. There was a directional issue. Are they obsessing over the product? Are they premature solutioning, for example, when they should be-- I don't know, doing more interviews, talking to more people? Another thing that we saw was, OK, they did some interviews. And then they quickly like, check off the box. OK, I validated my idea. People want this thing. But maybe they didn't quite validate it as deeply as they should have. Again, I'm very guilty of hearing what I want to hear in some of these interviews or maybe asking the biased question. And that's no different with chat GPT. If I go to chat GPT, actually, very funny one, I don't know if they fixed this. And I think this exists across most of these models. But if you go to it and you give it an idea, and then you go back to it and you give it another idea, and you use the word new. So hey, here's idea A. What do you think of idea A? It will tell you probably something like you're absolutely right, blah, blah, blah, all this yes-maning, which is another issue. But it'll come back and you say, OK, well, what about IT AB? What about this new idea? It tends to prefer the new idea, even if it's a worst idea. To the first thing. To the old idea, right? So it's constant, like, people pleasing and constant, kind of like bias towards this information, which is really, really tricky. And to kind of, I guess, talk about-- there's a couple of other things. But to kind of summarize the issues that we saw, I'm quoting as a big thing nowadays. and a lot of people are talking about vibe marketing. And I think the one that this funny is to me is vibe revenue because it kind of ties into this bigger concept that we've been trying to explore called vibe founding. And vibe founding is kind of just building a business based on vibes and kind of emotions and hunches and stuff rather than like logic and data. And I am, you know, an OG vibe founder. I'll be the first to admit that. But it's really tricky nowadays to avoid vibe founding because you go to chat and it tells you everything you're doing is right. It gives you this very like bias back and a lot of it is just tied to the specific questions you ask, how you ask those questions. And then of course, you know, what you do with that information afterwards. So vibe founding is becoming more and more prevalent and that vibe founding is really being amplified by the CSPAN chapels. - Yeah, and I totally agree. I think that there's generally like an issue right now with AI, like you said, trying to do stuff that. It's just, it almost feels like it's this recursive or like not cyclical. It's a feedback loop that's constant. So I work with a lot of different tools. I do content and a lot of that's like blog or like SEO related. And the big issue right now is you even have tools that are having to utilize sources like Reddit. We actually just interviewed somebody who's doing a lot of zero clicks search and AI SEO as a company. And they actually have to use Reddit on open AI as one of their primary sources because Reddit has an incredibly anti-AI, as an incredible anti-AI layer, whereas they can't even trust like blogs generated anymore because everybody used AI within the first six to 12 months when the web search capability came out to create blogs. So they're kind of screwed because if they use web search with the LLM, at first it would probably add something upside to the context of the LLM, but until they retweet the algorithm to add a lot of Reddit, it was just talking to itself basically over and over again and saying the same stuff. But now I mean it's Reddit, right? So like the information can be false pretty frequently. And there's a reason people will look colloquial jab at people if they make it dumb argumented. Like that's a Reddit tier argument, right? So this is kind of the funny world we live in is it's almost like, it's a very self-affirming system for sure if you let it get away from you. - Exactly, yeah, I know the echo chambers are just getting, I guess more robust and the noise is just getting amplified. - Yeah, so what do you think is some of the cool features that you're gonna wanna bring and like, what are some of the people who are some of the main people that you hope we're gonna use your product or industries as well? - Yeah, yeah, yeah, so I think five founders is a natural one. I think a lot of people who maybe aren't very technical or haven't started business before are now being empowered to make projects and start businesses, which is amazing. But oftentimes they don't have the experience, training or maybe even the time to think more about their strategy or if they go to market or their validation or anything like that. So I think five founders, first time founders, young founders, solopreneurs, that's another big one. You know, one of the big issues that I've experienced and I still struggle with today is just trying to filter my biases and my blind spots, you know, like anybody else. And as a solopreneur, that's extra risky 'cause you have nobody to kind of answer to. You have nobody to kind of like walk the talk through things to except for these yes man chaplots. So having a way to actually actively filter against that and having a way to kind of sound your strategy and think through things in a more kind of like granular and logical fashion is one of the big things that we offer in our platform. We talk about things like structure as a service. So you have, you know, structured databases, you have like tables and stuff like that, you have unstructured data like all these chats. But sometimes you need structure, even in those unstructured chats. And if you go to chat GPT and you say, hey, give me a business plan, it spews out some long thing. Chances are there are some nuggets in there that are valuable to you, but a lot of it isn't valuable to you. And maybe a lot of it is kind of valuable but it needs to be updated over time. And so a lot of this just like essentially sifting or pulling out nuggets and being able to manage that data and keep it updated and validated and stuff like that are things that are corridor MEP. And I think people are going to be pretty excited when they see it because the UI and a lot of the stuff we built is proprietary and we're trying to create this hybrid between a chat and something that's more structured like a notion or like an Asana. That's an interesting kind of balance. I think a lot of AI tools are trying to find like how much you just want to be like the theoretical great tool that in the long term could exist with like a bunch of connections to different MCPs and you can do everything by just chatting with it and then it sends out its other tools. And also what is the, yeah, exactly. It's kind of a weird balance to find it. And how have you been trying to achieve that balance? What is kind of your plan there and how have you gone about tweaking and re-eparating? Yeah. So I think chat is essential, maybe voice in the future. But a picture is worth a thousand words. And so having some sort of visual display whether that's a canvas or whether that's a table or whether that's some sort of a dashboard, I think is a lot more efficient and a lot more intuitive than just having to like scroll up through a conversation, thread and try to find a piece of information. So that's kind of one of the main things as we think about the chat as the main communication mechanism. But then there's this like filtering layer where there's this kind of extraction service that happens and then pulls that information into the structured view or into the dashboard that helps you kind of just maintain that big picture awareness. So as we do that, it's very interesting because then there's talk of topics do you want to extract, how do you want to like organize or order that information because another big thing that happens in the founder's journey is you have parallel ideas. And you don't know which one is right. Maybe there are two assumptions you have on the problem that you're trying to solve. And maybe they both kind of sound correct, but one is a lot more of a deeper pain point or a lot more kind of important than the other one. Well, how do you manage parallel context threads and how do you update different pieces of context as they become validated or as they become disproven and expired over time, right? When you're pivoting or when you're kind of evolving your business over time, a lot of the initial thoughts that you had just they're not relevant anymore. You thought the problem you're solving was this, it ended up actually being something else. And so in a generic or traditional chap thread, all that context is kind of like lost and convoluted in the same plane. There's only like one plane of truth, there's only one plane of context. And so that's why if in six months or whenever you want to pivot and say, okay, we're not doing that anymore, we're trying to focus on different problem. There's a lot of root causes for hallucination and a lot of potential issues that arise because it can't differentiate those things that are no longer relevant or no longer valid versus the things that are. And if you introduce a new problem, then it has like all these contradictions in the context. So having this structure and having this ability to do that is actually something that we're trying to patent. And that's not like in a pack control kind of way, but it's really just so we can protect the mission and protect the overall kind of enterprise that we're trying to build here, which is meant to empower the founders. So it's pretty cool because we have this weighted context system and it has the ability to essentially weight the importance or the relevance or the validity of certain contexts as you evolve your thinking and as your business builds regardless of the scale you're at and the amount of context that you built. - Yeah, absolutely. And it's probably, it's been kind of a difficult thing as time's gone. I feel like with a lot of these AI tools where there's been a lot of creep of, I don't wanna say that's scope creep, but people try to implement what they are using with these AI tools and it doesn't end up like getting them anywhere, right? Like there was that one report that came out that what like 90% of like pilots for AI were just not getting a positive ROI. I think granted, I have questions about that study, but like, you know, I could believe it. I could believe that there was failure, but how are you going to make it as easy as possible for founders to be empowered versus what, you feel like a lot of the other tools are lacking, right? Like how are you gonna prevent that from happening to what you're doing? So I think for us, a lot of it comes down to the Zorke problem. as we're calling. If you've ever played Zork, now let the heck in lark. Zork. All like geeky like 1970s video game and it was essentially like a command line interface where you would play in this like imaginary world. So it would basically be like there is a door and that's it and then you'd have to say like open door and it's like no doors locked and it would give you nothing else like there's there's minimal minimal information. It's all on the back end. There's this like really incredibly rich map of different scenarios and kind of like places built out and it was one of the first instances of essentially people trying to have a conversational UX and steer that conversation when they when they have a user come into the flow. So it forces you. It's actually really brilliant. It forces you to think because at first you're like you're just laughing like well what am I supposed to do here but then you're like hold on what if I try this now what if I try this and it gets your kind of creative juices flowing and it really like works your imagination but tying that into to what your question was the problem with like a lot of these chat tools or a lot of things the founders do today is they can't they don't know what to ask or they ask them the wrong thing. And so they're blank they're staring at this blank kind of like conversation line kind of like Zorik and they have to sit there and kind of like really scratch their head and think about what to type in but I think one of the best ways to an easiest way to to start empowering founders is by just giving them the right questions or giving them the right suggestions to ask or to maybe like pick through so that they can start going is if you come into chat like okay sure go use chat GPT or cloud right now I mean cloud is obviously doing really amazing stuff these days but there's still a directionality or agency problem right what do you ask it and what order do you ask it those things you know when do you ask it something you've asked this last thing like there's an incredibly complex dependency tree that can build there and it's very much tied to what is your overall gold or your overall intent that you're trying to get at and it's something like cloud or generic chatbots very hard to do that because it's a general purpose tool by definition but then something like sift it has a very specialized function word meant to help people de-risk accelerate and succeed in their founders journey so there are playbooks there are books there are frameworks there are a lot of things that are built out already that say you know this is step one this is step two step three if you don't do this right you know this is step three a this is step three b etc etc etc so this is something that I think is quite unique and one of the really key advantages of using a specialized system for a specialized use case like this because founders have to deal with something quite unique compared to you know just general work or productivity apps yeah no they are they're it is very specific I agree I don't think that there's actually it the hard thing with a lot of work that founders do is it is so specialized because you're building something specialized else the business is you know a little bit DOA dead on arrival but that's a yeah it's a very good point what have you actually just out of curiosity obviously it's been a long time really excited for it do you use it yourself for a lot of your own stuff and what does that look like for you yeah we're starting to use it I mean we've been we've had some delays just do the complexity on the back end as you can imagine but as the tool has kind of become available now for our own internally use recently we've been starting to see some really interesting it's still quite manual it doesn't have the level of like kind of automation or guidance that we wanted to have but we're starting to see a lot of really granular thinking and a lot of like dependency mapping that you just don't get in a chat bot so like I would for example be like you know what I want to test out tick dock as a channel and you know chat AI chat GPT your cloud will say okay cool like yeah here's you know here's some plans for how you can test out tick dock and blah blah blah blah but see if we'll take that and say okay are you sure you want to test out tick dock because you told me that this is like the audience that you're going after and that audience isn't usually on tick dock you know we can try it but at least it like it surfaces this thing so it helps me you know it helps me really refine my strategy and be more coherent in my approach to things because it has this much deeper ontology and much deeper dependency map than just like a black box LLM embedding system yeah no it's fair what do you think is some of the you know this is where you're starting where do you think the goal is for you in the like final final or at least current mental framework of of improved product I know it's like oh we're already we're only at the beginning but where where do you think it's going to go above and beyond for us already yet yeah so I think it'll be a lot more guided and automate I'm hoping we can integrate a lot of it cool kind of crowdsourced automations and skills and stuff that we're seeing like even in the in the recent days in the cloud ecosystem I think that you know our vision for sift is if for it to be the founders platform so it's not trying to specialize on market research or on you know vibe coding or anything like that doesn't do anything like that it's really meant to be this intelligent filter or this platform that founders can use to kind of kickstart their business and de-risk their projects and I think over time it would be really cool this probably won't happen for a while but I think it'd be really cool for us to integrate a lot of other really useful and creative ecosystems and third party tools that are out there because you know there's a there's a whole wave of really exciting stuff happening as as you show on this podcast and as a lot of the other guests have said like there's some really cool vibe coding communities solo printer communities builder communities just in general that you don't want to compete with but we want to you know empower yeah no totally and empowering founders this year I think you know it kind of leads into a question what are your thoughts in general about how the solo printer landscape is going to change in 2026 obviously our agents were a big thing in 2025 how do you think the solo printer landscape can continue to change and improve with what you experience in you know day-to-day you know conversations now I'm really I'm really intrigued to kind of hear your thoughts because I know that people are going to be able to be in Marlene be able to be in Maragel and I'm curious what like actual practical impact that's going to have on businesses how many more people you think are going to take that route do you think how and also how do you think it will impact the general knowledge work environment to good question um couple of thoughts so so I think that you know this is my context and feel free to disagree or you know ask for clarification but the solo printer market has been seeing a big boom right these tools vibe coding tools AI tools they've been really already empowering and breaking down barriers to enable more and more people to build their own businesses and view their own boss and I think that a lot of the hype or froth that we saw in 2025 is going to start to kind of melt in 2026 so a lot of people are building the same tool and a lot of them there's a lot of them aren't that differentiated or are necessarily better than the other ones and I think that that's you know just kind of inevitable and natural and maybe just early days because as you get a more and more flooded or saturated marketplace you get commodification and then you're going to have to have smaller niches or have to have more kind of strategic or competitive offerings in those markets so I think that you know that million AISDR tools that you see out there for example aren't all going to go away I think some of them have value but probably a portion of them will will stop doing what they're doing I think a big portion of them will will pit it and maybe find you know a slightly different way to add more compelling value and have like better traction and then I think if you of them probably will stay as they are and maybe you know hard and some of the things that are working and double down there but I think you're going to get this maturation or at least the start of maturation in in that market and I think that market is probably going to continue growing but it's probably not going to like explode or at least not continue to explode on like an exponential curve maybe an S curve but not so much just like a raw exponential growth for the entire year maybe there's still a lot of growth left but I think that it's going to plateau over time and that won't be this year but the good news there is that like that market is going to grow so I think the solar brand new market not only is it growing but like a lot of these tools and a lot of the problems that they're solving and it's if there's no exception to that they are solving problems for other solar containers they're solving problems for other small businesses and they're really changing the small business landscape and I think that's really exciting because small business I think the future small business I think the future is entrepreneurial and I think that small business is like a really exciting place to be because even those pilots that you talk about a lot of the issues like I've seen some of these large organizations I've been kind of involved in some of the pilots I won't name names but it's not necessarily like a technology problem it's more of a people problem an adoption problem and implementation problem and these are like Classic problems. This isn't something, you know, right? And so as we start to see more and more of those enterprises Adopt AI and have success I think we're gonna see many many more small businesses have success. So the gap between small business competitiveness advantage AI adoption capability versus enterprise is only going to increase and I think a lot of like the legacy issues that we've seen in Enterprise are only gonna get worse interesting. Okay. Do you think that enterprise are going to be struggle with Being able to keep up with some of these lame teams. Yeah, I mean think about it There's a team of one and he's working doing the work of 10 and the company's earning the revenue of like a company of 100 people or 200 people How do you compete with that right especially if that company the self-funded or bootstrapped and doesn't have any financial Pressures to sell would be acquired by your enterprise, you know I think that those enterprises are going to start to see a lot more competition from that front and of course You know layoffs and a lot of the other stuff that we're seeing happen in in the enterprise world Are only another negative feedback with after feelings I think a lot of people used to go to big companies because there was job security there. There was work life balance there, but This you know pure speculation on my part, but I would bet that a lot of those advantages or perks of working at a big company or enterprise are slowly eroding away as AI becomes adopted more and more and as we kind of like Going to 2026. Yeah, I would agree. I definitely think that there's a bit of a Bit of a problem right now with working at a enterprise company and that is you've been in a position where there is a Full-scale understanding that working at an enterprise often is Working up from somebody who is a ah Is working as the operational function of the business to being a middlemanagement person and Then a lot of this people end up losing the skill right at some point right they haven't worked in an awhile and If this is talked about at the lower levels of business Every single big, you know CEO and executive so I mean there's even the phrase cushy middlemanagement. I mean like it's like we have colloquial terms for this for reason because it's well known I would just say very very very much on the same page with you that Job security at enterprise that think as things have gotten more efficient is definitely gonna be It's that I don't think there was gonna be nearly as much of a well It's I think that I think the place that you'll be the most secure that a SMB Rear top performer and they don't really want to add middlemanagement because they can just Have director agents or something to delegate tasks honestly But when you work at this middle management like you end up going from person who does the work the person who manages people during the work and On paper they don't really output anything so you can just be like oh 150k, huh? I don't have to pay like five grand and like resources for that nice Right, and it's just very basic math for them at that point which And a free enterprise honestly don't blend because it's kind of funny I think the people in that position have been aware that they're they're chilling for a while and Then I think that I think the layoffs on on an operational standpoint of people are doing Substituted of work is a more upsetting thing probably right? I think the middle management type of stuff. I would ask the person to take a look in the mirror and say We know that there's more of a direct correlation between disliking your job because you're not fulfilled not because you're not getting paid enough And I'm asking you candidly are you in the former because you know if you're like it's just actually a bad thing You're not in this position anymore. Yeah, like a lot of people usually like ah works whatever and it's not because they're over work You hear the people who work too much talk about where yeah, you'll hear the people who don't get paid enough talk about work It's the like it the people are middle management that don't do that much like ah works work and I'm like I don't feel like you're passionate about this so hopefully it gives them a kick in the butt to be like You know what maybe I get to get back on my horse. I actually do I'm I'm not like Four mass layoffs don't gonna be wrong, but I think everybody is probably worked under this Mutual understanding that middle management does nothing Yeah, the better part of 60 years, but you know, it's like it's like well There's this massive laugh. I'm like what percentage middle management. That's what that's actually what I want to know when Microsoft does last because I have friends and colleagues at companies who they they would go from like Microsoft to like I'm not gonna name names a project man a majorly funded project management tool Okay, and then the project management tool as a bunch of bad releases in a row and delayed timelines And it's like what I'm so confused. They got all this great talent from Microsoft and then you find out like Micros this Christmas has been in middle management like not even knowing how to code for last decade and you're like Maybe just honestly put these people is probably good. They're getting a Little kick in the butt, right? Like It's yeah, I'm not saying that it's better that the money just stays in the corporations pockets, but they can They can get their skills up because at some point it was gonna happen to them So it's better that they you know anyways, that's my it's my hot. Yeah No, I mean I agree. I think yeah, it's like it's obviously like this sensitive issue and and you know I know people have been laid off and it's it's a big kick in the butt, but It does push you to be better and I think I think people's relationship with work and careers is like going through a seismic shift right now because of what's becoming possible with these tools and When you think about it like yeah, you didn't really like doing that job. You did that job for money and yes Sure, there was some security to it, but that security doesn't exist anymore You know your your your a quarter or a few quarters away from being laid off potentially now And so is it better for you to wait for that to happen or is it better for you to start asking yourself What am I really interested in doing and how can I leverage AI to do that because it's a lot easier than a lot of people think But it's just a question of a really having a focus and really having something that you are or want to be Like competitive in and are really good at you know or want to be really good at And I don't think it takes that much like you know depends how much you charge but like having a thousand or a couple thousand people subscribing to you Or having a few you know, I don't know what creators stats are but just for sass like having a couple thousand people subscribe To your platform or to your app or to your service Can often be enough for you to to displace and replace all that income that you used to get from the cushy job Like it's not a lot of people you think about the eight billion people in the world Couple thousand people like I think every Obscually tiny niche that you can think of has at least that yeah, no, I think that's that's totally fair I really I really want to just kind of touch on this a little bit more because there's a very Interesting thing you touched on there. Mm-hmm. You were doing this for yourself right You've been doing this for yourself for how How long have you been doing stitch bike? Uh, we started sift last May so sift uh is yeah, you know under a year you've been working on it Did you previously work in any position that was a little bit more secure and in that type of thing? Yeah, yeah, okay Yeah, I did some like thing. I worked at it. I worked at large marketing agency and well I was kind of more still at the operator level on you know, it was definitely more secure Uh, and I appreciate you you know taking that leap and I think for me A big mental model that I worked through was that like Tim Ferriss what's the worst that could happen model and obviously you could be save your money You're you know, you're prepared to have a year or two like savings whatever and then like what's the worst second at? On the same position. I still don't like what I do and two year later say ah, boo um But a big thing for me was I had to come to terms with the fact that um And the company I worked at had a massive layoff because they got bought out by a private equity firm And did it tell anybody and then a couple months later like massively there was this like we had a down quarter I'm like we had been talking about quarters since I've been here This is why I'm a here at about profit margin uh, and like when we we got like a cash inject we got an investment and the phrase theology was that they were a partner And then everything if the company from the top down started vibe changing. I was like This was a you got bought up by private equity. And that was like So even at medium-sized companies this concept of social or sorry social um of job security Is a force Like really I'd not to be like I genuinely think unless you're running your own company and you do have the ability to Grind it out so you get more freelance contracts or get more customers like that is the only job security I don't I think job security is like a false it's like a false pretence Yeah, like it's it's this axiom everybody has that I'm like, it's just not real. I'm like this is it this is exist Yeah, yeah, I mean yeah, it could be could could be cool aid um it could also just be something that's outdated Maybe it did exist at one point and it's just not really um Fiable anymore, you know, there's Matt whether it's permanently ops or whether it's restructure or whether it's M&A and all this other stuff that's happening, like there's just a massive change in shop happening and how organizations are running. To your point, like they're becoming more bottom-heavy and a lot of those bottom, quote-unquote, workers are maybe AI agents. So that's going to change things. So I think a lot of people have to get real or have to think twice about this concept of job security. Yeah, at the end of the day, there's no more, like the best job security. Like you said, it's working for yourself. Yeah. All right, so last but not least, I just wanted to close things out by saying, if there was any one thing that you would recommend for people to know prior to checking your product out, what would that be? And tell them exactly where to go. We can close this episode out and they can either get early access or, you know, it's mattering how the launches will see timing wise of posting. Yeah, sure, yeah. So two things. So one is, I think, you know, there are people out there doing, I wouldn't say there's anyone trying to copy us or do exactly what we're doing, but I would just ask users to ask themself, like, what would I want in a founder platform? How could I trust a founder platform to be founder first? And how can I trust a platform like that is going to keep my best interests at heart? And my answer to that, or I think the reason we ask it, is because I've spent the better part of it over a decade doing startups. This is my fifth startup. And a lot of the issues we've seen in the startup world or in the entrepreneurship world are things we're trying to actively change and improve, but sift, whether it be, you know, from the beginning, or more towards, like, down the road. But I think that we have a deep commitment and loyalty to just making this something that empowers entrepreneurs and empowers people to build their own business, rather than, like, some quick, you know, company we're trying to build and scale for profit. So I think that's like a big thing for us. There's more information about the website. And I think the rest of it, people can just kind of see for themselves by trying the website, checking out other content that we have. We're happy to have anybody who's a listener. I think there's still time to sign up for the early access. By the time this gets published, so you can go and sign up on our website for the early access wait list. And you could use a code AI agents. And that'll give you a discount on promo for listening to this episode. Awesome. Yeah, please make sure to go check out everything that they're doing at sift AI. Make sure you get the spelling right. It is sift with two as f-i-a-f-t. If you guys like this episode, please make sure to hit that like button, subscribe, leave us a review, and Apple podcasts, and Spotify really, really appreciate the work that you are doing here, Simim, and we appreciate everyone for listening. So thank you so much, and we'll see you in the next one. Peace. Thanks, Dimitri. Appreciate you. Thanks.