Stop Doing "Boring Work": How to Automate Your Job with AI

Sean Weisbrot: What is the number one thing you see consistently from companies that are afraid of working with ai?

Tim Cakir: Well, it's usually only the leader that says, Hey, we need to work with chat GPT.

Tim Cakir: We need to work with ai, and if we don't, we're not gonna exist.

Tim Cakir: So they kind of try to force everybody to use ai.

Sean Weisbrot: So you think the leader is creating the fear?

Tim Cakir: Yeah, I think that the leader is in fear, first of all, because of the news and what's happening outside.

Tim Cakir: So they fear it and they're trying, like they're kind of amplifying that fear internally.

Tim Cakir: A lot of leaders, I'm not gonna say all leaders, but a lot of them, big percentage.

Sean Weisbrot: So what's a better way for them to approach it?

Tim Cakir: I think it is to not say, Hey, if we don't get into the AI boat, we're not gonna exist.

Tim Cakir: But it's like, oh, okay, well this thing AI exists, everybody's adopting it. How are we gonna adopt it?

Tim Cakir: And ask your team members, you know, uh, I mean, you know, at the end of the day, uh, this is gonna sound promotional, whatever I say, but you gotta get a third party, uh, trainer.

Tim Cakir: You gotta get somebody to come in and help you train your whole team.

Tim Cakir: Because when it comes from the leader. It's like, oh shit, you know, my boss is telling me to use it.

Tim Cakir: If I don't use it, I'm in trouble. If I use it, well, I don not, well, I'm in trouble, you know, so, so there is really the, uh, a problem between the relationship there because it's always top to bottom and not bottom up.

Tim Cakir: So what we do with the training is to make sure that they're meeting, they're meeting halfway.

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Sean Weisbrot: Do you think society is creating this problem?

Sean Weisbrot: Do you think the leaders, you said, I think the fear, the leaders are absorbing the fear from the media.

Tim Cakir: Yeah, I think it's the media, obviously the media is creating it.

Tim Cakir: Uh, I think that's the search, the research labs. Yeah.

Tim Cakir: I mean, at the end of the day when you think about it, you know, uh, good news, uh, positive news, uh, doesn't amplify, it doesn't travel very fast.

Tim Cakir: Uh, but negative news and scary news. News full of.

Tim Cakir: Full of fear travels very fast and it amplifies very fast.

Tim Cakir: So how do you market yourself is by saying, a hundred million jobs are gonna get lost to my new technology.

Tim Cakir: Right. And as everyone's like, what a hundred million jobs are gonna get lost?

Tim Cakir: But if you did say, you know, we're gonna power a hundred million people to do better work, it's like, yeah, great.

Tim Cakir: I've heard that before. You know, so, so I think that is definitely the, the, the media is not helping us.

Sean Weisbrot: I may be part of the problem because I've interviewed a bunch of people and I've tried to get their idea about ai, what they're doing with it, how they're thinking about it, and a lot of them seem to have this similar mindset.

Sean Weisbrot: They're like, we have no choice. We have to do something. And a lot of people have reiterated those terms.

Sean Weisbrot: If other people in business aren't actively using AI right now, then they will lose out to competition.

Sean Weisbrot: So I, I think, I think business leaders are telling other business leaders about this fear. As well.

Tim Cakir: Yeah, I think I, it amplifies, right? So, so the fear will always amplify.

Tim Cakir: I mean, you know, if we do think about electricity, right?

Tim Cakir: So I think that AI is much bigger than electricity, potentially bigger than fire.

Tim Cakir: And we haven't even understood it yet. Like some people saying that maybe it sounds gimmicky, but, but I think it's huge and you know.

Tim Cakir: When electricity came along, you know, a lot of jobs did get lost.

Tim Cakir: There were people in, in London, you know, going around and lighting the, uh, the candles in the streets.

Tim Cakir: You know, street lamps were with candles or whatever. Not candles, but you know, fire with oil, whatever.

Tim Cakir: But I don't know the exact name. Um.

Tim Cakir: Those people did lose their jobs. Yeah. Electricity came. Uh, and that's the same thing that's gonna happen.

Tim Cakir: But, uh, you know, in the long term, uh, I believe that it's gonna be much more, it's gonna bring more positivity than negativity.

Tim Cakir: In the short to midterm. Yes, it's gonna create a lot of fear. It's creating a lot of fear.

Tim Cakir: Um, but we gotta see it through and we're gonna see it after this whole adoption, which isn't gonna take years to adopt ai.

Tim Cakir: But after the adoption, the day that we don't say. The data we don't see on LinkedIn.

Tim Cakir: Every post being about how M dashes or AI and everybody talking about ai, the data, that doesn't happen anymore.

Tim Cakir: That means that we've adopted it and it is just in the background like electricity is, and you'll only realize it when the, when there's a power cut, right?

Tim Cakir: So when there's a power cut, you're like, oh shit, my electricity's gone.

Tim Cakir: It's gonna be the same thing when, you know, compute is down.

Tim Cakir: Or when an API is down, you be like, oh.

Tim Cakir: My AI is down, right? So that day is, I think the day that we'll be like, okay, yeah, it's just a normal technology now, and it's something that we, we've adopted it.

Sean Weisbrot: How many years do you think until that?

Tim Cakir: Uh, I mean, I'd say, I'd say around 7, 10, 15 max.

Tim Cakir: You know, I think El Musk had a, had a speech the other day that, uh, an interview that I, uh, I watched and listened.

Tim Cakir: Um, and I'm not a massive fan or anything like that, and I'm just gonna put it out there.

Tim Cakir: Uh, it's not the side that I choose on the AI side. If there's an AI side, which.

Tim Cakir: There shouldn't be. Uh, but there's definitely not that side that I, I'll be on.

Tim Cakir: Uh, but he said about 10 to 20 years and he said that, you know, about 20 years working is gonna be optional.

Tim Cakir: It's gonna be like a hobby. So I believe that we should be adopting it fully seven to 10 years so that we have another, you know, about 10 years, um, to have this work

Sean Weisbrot: optional. And so during that time there, there's a lot of people that are saying jobs are gonna get lost.

Sean Weisbrot: Yep. There's people saying that people who don't know how to use AI are going to lose jobs to people who are willing to work with ai.

Sean Weisbrot: Kind of like I saw my grandfather, uh, have the choice to learn how to use a desktop computer or retire and he chose to retire.

Sean Weisbrot: Um, which do you think is gonna be more prevalent?

Tim Cakir: Um. I mean, I, I do believe that jobs will, will, will be lost, but there's gonna be lots of new jobs that are created, you know?

Tim Cakir: Um, I would say as well, that is a must because there are a lot of jobs, there's a lot of tasks that we're doing that are one, not fun whatsoever.

Tim Cakir: Right. Two are, you know, very repetitive, you know, and, and three, they don't need any, any high cognitive power.

Tim Cakir: So those jobs will get lost. And I'm sorry for the ones that are doing this type of jobs, uh, but you do have the opportunity right now to innovate what you do, you know, to, uh, to rethink what you do and to upskill yourself.

Tim Cakir: You know, there's so much free, free content, uh, incredible podcasts like yours. There's a YouTube, there's my YouTube.

Tim Cakir: You know, there's a lot of, uh, places where people share everything they know, right?

Tim Cakir: So if you're a bit curious, you, you'll really get on top of this technology.

Tim Cakir: So, so, so what I mean here is yes.

Tim Cakir: There will be people that will take, they're not gonna take over your job, but what's gonna happen, which we're already seeing, is there are job description now out there that it says, Hey, you know, we want you to be able to use rep let for vibe coding for quick prototyping.

Tim Cakir: You know, we want you to be able to use the, you know, lovable this, that X, Y, Z tools.

Tim Cakir: So we're starting to see these names of tools inside job descriptions.

Tim Cakir: So if I had hun, you know, hundreds applications, I'm gonna interview 10 of them and about seven of them doesn't mention anything about cool new AI lab coding tools and they haven't tried it.

Tim Cakir: Obviously those, those three that are using it are gonna be the ones that I'm gonna spend my time on it, on the interview.

Tim Cakir: You know, I think that this is a must and, and you know, I've seen it myself, by the way, Sean.

Tim Cakir: I fired about, sadly it was one of the most difficult things I've did in my career.

Tim Cakir: I've kind of let go about 50 people. Uh, and that's because we, we got a tool called Clay, you know, uh, and suddenly we didn't have to do manual scraping, and we didn't have to do manual copy paste from LinkedIn and so on.

Tim Cakir: So, so, um, those people, um, you know, they have innovated themselves, a lot of them and has found new jobs and new things to do.

Tim Cakir: Um, you know, and, and that is gonna happen across, across every company that, uh, we potentially can think of.

Sean Weisbrot: So I know that your business goes in to train teams of larger companies.

Sean Weisbrot: Yep. But the audience, they're solo entrepreneurs. Of the, you know, the people listening to this are solo entrepreneurs.

Sean Weisbrot: How can they get ahead since they're not an employee of a company, they are the owner of the company.

Tim Cakir: Even better. Yeah, even better. Uh, how can they get ahead? Think systems, build systems.

Tim Cakir: You know, we always said this, I think that before the Lean and Agile era, uh, you know, it was very important to, um, write processes, SOPs, document them down and so on.

Tim Cakir: And then the Lean Agile came, you know, the one pages came, you know, it, it came that, you know, uh, it was quick, uh, quick iterations, you know, move fast, which, you know, we should still move fast.

Tim Cakir: Uh, but I think that it's even more important today to document.

Tim Cakir: To write down the process, to write down how you're doing, what you're doing, especially as a solopreneur.

Tim Cakir: You know, I, I kind of could say I'm not a solopreneur, but I have a very small team, right.

Tim Cakir: We have about, uh, you know, including me, we have about four, uh, team members that work full time.

Tim Cakir: Um. You know, one works on, on video editing, one works on marketing and one works on, um, helping me with the operation and I do the sales, uh, and, uh, serving the clients, training and consulting.

Tim Cakir: Uh, and we're serving much more than normally what a team of four could do.

Tim Cakir: Um, so let's say that I was a solopreneur today, which I was by the way, until January this year.

Tim Cakir: So until the beginning of this year, I was on my own and I scaled the company to about 200 K on my own.

Tim Cakir: Um, and. Today, if I would do it again, I would process and I would write down everything that I'm doing and I would keep optimizing those documents.

Tim Cakir: Why? Because AI is getting so much better, and agentic features are getting so much better that the second, you're given a document of a process, right?

Tim Cakir: A clear process, a step-by-step process of how a human, how you as a entrepreneur do.

Tim Cakir: Whatever, client onboarding sales, uh, whatever you do, um, you can give it to an ai and the AI is potentially gonna say, oh, amazing.

Tim Cakir: Yeah, I can do this. I need a couple of model context protocols to connect to these tools.

Tim Cakir: Uh, can you log in for me? Are you gonna log in? It's gonna say, great.

Tim Cakir: Maybe I can't do this and I'm not sure about this, so I'm gonna add a human in the loop and I'm just gonna tag you when I need some, some information, when I need some feedback about this, but I'm gonna handle the rest.

Tim Cakir: And you're like, oh, shit.

Tim Cakir: It does the rest, right? So it's, we are almost there because I've built, uh, some incredible systems in cloud code.

Tim Cakir: I was gonna hire a bunch of salespeople to scale, and I just built a system.

Tim Cakir: I'm like, I don't need to hire anyone because I could just show up to closing, closing calls.

Tim Cakir: You know, the rest is, is semi-automated to, you know, after 10 more iterations, I potentially can get it to a full, full automation where I just show up on, on sales calls and close the deal.

Sean Weisbrot: So you're saying people that wanna start companies now should try to figure out how to just build AI agent systems so they don't need to have people in place to, you know, basically the traditional mentality was you build a company, even if you struggle on your own, you're earning money and you use that money to hire people to help you solve problems.

Sean Weisbrot: But now you don't need people to solve those problems.

Sean Weisbrot: You generally can just have AI agents to solve those problems for you.

Tim Cakir: Yes, but I would say don't go agent building right away.

Tim Cakir: Build a document, build a system, uh, build a mirror board where you understand the whole flow and how that's been done.

Tim Cakir: Make sure that there are not cracks in your process, in your SOP in your system.

Tim Cakir: You know, first do it manually. Do it a few times manually, and when you're happy with how you are able to do, then think about building an agent for it.

Sean Weisbrot: I feel like those SOPs aren't so difficult anymore.

Sean Weisbrot: Like when I was building, I, I was, I vibe coded a B2B SaaS just kind of for fun, kind of like, I thought it would become a real business for me and I got it basically to production, but there was this massive bug I haven't been able to fix.

Sean Weisbrot: And so I kind of, I kind of let it go because it's a, it's a bug with an API, um, with a financial.

Sean Weisbrot: Financial, API, and this is very, very complicated, but I used, uh, Claude inside of Cursor to create all of my documents.

Sean Weisbrot: It created the roadmap, it created the feature specifications, it created the user stories, it created the technical architecture, documents, it created, all that stuff that, like years ago when I had my own tech company, we took months.

Sean Weisbrot: To build one of those documents. You know, I feel like now you could even have a, you could have like a testing and if you're building a software, you can have, um, an agent that builds out all of your unit tests and documents them for you and you can to employ agents to, you know, so there's like a lot on documentation I feel like is pretty automated.

Sean Weisbrot: I feel like the, the interesting thing is. So like I talked to a, a woman, I, I do mentoring sessions, uh, through an app, a place called, uh, growth Mentor.

Sean Weisbrot: It's a website and we're, I think we're both there. Cool. I love that.

Sean Weisbrot: And so I was doing a mentoring session a few days ago with a woman who has a marketing background who vibe coded her own software.

Sean Weisbrot: And I was like, do you have documentation for anything? She's like, no.

Sean Weisbrot: I'm like, okay, well you need documentation, this, this, this, this, this.

Sean Weisbrot: Before I go, have you had a developer review your code? She's like, no, I, I go, okay.

Sean Weisbrot: She's like, I've got, you know, beta testers. I got people on. I go, that's fine.

Sean Weisbrot: What you're doing is good.

Sean Weisbrot: Keep working on that. But you need someone like, you need to work on getting revenues so that you can then have a developer to look into your code because you don't know if what you have can scale, which is fine.

Sean Weisbrot: But you need to have that in place. I go, have you done any documentation to support your effort towards using the revenue to hire someone?

Sean Weisbrot: And she said, no. What documentation do I need? So I find that a lot of first time people, even though she, she was, she was experiencing the pain for so long, that she decided to quit her job and solve the problem, and she's helping other businesses do the same.

Sean Weisbrot: Right? Very common, uh, idea, you know, pathway for creating a business.

Sean Weisbrot: And yet, because her background is in marketing and not operations or in tech, she didn't know that she was missing something.

Sean Weisbrot: And I said, 100000000% before you hire someone. You have to get all this documentation together because if you hire them and you don't have it, they're not going to like you very much because they're gonna have to build it themselves and they don't know how the system works.

Sean Weisbrot: And so all you're doing is serving to cause them unnecessary stress. So, so yeah. Get your documentation together.

Tim Cakir: Yeah. But we're talking a lot about product documentation here, right? Um, yeah.

Tim Cakir: And, and a lot of people don't think about. Actual day-to-day human led interactive documenta, like, you know, on a Monday morning, what do you do?

Tim Cakir: Well, you review your CRA, if you're a salesperson, you review your CRM, uh, you check out which leads, you know, which deals are active, that you should be following up with.

Tim Cakir: Um, and then you decide on how you're gonna follow up with that, uh, deal, right?

Tim Cakir: Uh, do you, do you have to send an email? You know, do you have to call them?

Tim Cakir: Do you have to send them an LinkedIn message? Right?

Tim Cakir: Uh, and then you have also, let's say, two proposals to send. You have two closed, uh, deals, so congratulations.

Tim Cakir: Closed one. Uh, you need to send, you know, not proposal, sorry, you need to send the agreements because they're closed.

Tim Cakir: One, uh, or invoice, right? Um.

Tim Cakir: And then you just go and do the work, right? And, and manually as a human.

Tim Cakir: You go into HubSpot, you go into your DocuSign, you create those things. Hopefully you have some templates, right?

Tim Cakir: And things get a little bit easier, uh, and you do this work.

Tim Cakir: Uh, and then, and then I ask you, I'm like, okay, great.

Tim Cakir: You know, um, how can an AI help you?

Tim Cakir: Uh, and a lot of people says, well. I use ai, you know, to review my emails and to review a doc, and I'm like, okay, no, really?

Tim Cakir: How can AI help you? Well, it can't really help me 'cause I'm doing my work anyways.

Tim Cakir: I'm like, what is that work you're doing? And then if you can put that work into, into a document, uh, then I can tell cloud code, be like, Hey, here's a, here's a job that's, you know, a salesperson does on a Monday morning.

Tim Cakir: How can we automate it? Um, and it'll say, oh great, I can create, you know, six subagents, one that is gonna review the deals and is gonna decide on the priority one subagent that is potentially going to, uh, write follow up.

Tim Cakir: Um, you know, one subagent that maybe is gonna be like, okay, well I'm gonna check which agreements do we need to send, and then.

Tim Cakir: It's gonna fail at sending agreements because it's non-deterministic. So what's gonna happen is that none of the agreements are gonna have the same kind of structure and it's gonna be a mess and you're gonna get all pissed off and you're never gonna do it again.

Tim Cakir: But then you're like, oh, okay. I could build a code skill, uh, that could run a script each time.

Tim Cakir: 'cause a script, a code script is deterministic. But I'm using a non-deterministic model to decide when to run that script, and then I'm getting.

Tim Cakir: Very good agreements each, each time with a DocuSign, API automatically connected, uh, and it's automatically sent and suddenly on Monday.

Tim Cakir: Now you're not actually there looking at all these things.

Tim Cakir: You just come in, you say, all right, what's my work today? Boom, that's mapped out.

Tim Cakir: You say, all right, can you know what can you do?

Tim Cakir: Well, I can do about 90% of all this work. It's about 10%.

Tim Cakir: I need you to check, and you have two sales calls. I'm not gonna do the sales calls.

Tim Cakir: The AI says that. The human does the sales calls, the post-sales call automatically, that goes into the system again, and then the system prepares you for tomorrow, right?

Tim Cakir: So, so, so we are there today. Actually, you know, this, this is, this is the world that we're living in today.

Tim Cakir: Uh, but yeah, it's like, it's a very difficult thing about this.

Tim Cakir: You know, it, it's taking me year, two years, or three years, you know, since Che.

Tim Cakir: Alive to really start making proper use of ai, uh, where I'm not doing the boring stuff that I don't want to do, and I'm doing the stuff that I really wanna do.

Tim Cakir: You know? So, so I think that we're also, when we talk about ai, we're all thinking about a lot of like, incredible things It's gonna do.

Tim Cakir: Right. And it's gonna change the world. It's gonna change how we work. Yes. Before that, though.

Tim Cakir: Don't report, don't do research. You know, don't create drafts anymore.

Tim Cakir: You know, don't do all of this stuff, you know, let AI help you do that and, you know, and work with AI to just do better.

Tim Cakir: So, so, so that's what we do with our training.

Tim Cakir: It's not to say, Hey, you know, it's gonna remove you from your job.

Tim Cakir: It's gonna help you do your job better while reducing the things that is not cognitive, that doesn't need a human.

Sean Weisbrot: Mm-hmm. I've struggled with applying AI to my daily things because I feel like a lot of it needs to be manual.

Sean Weisbrot: And I could be wrong, but like I, I am very familiar with going to Gemini and saying, alright, I have an idea.

Sean Weisbrot: So for example, I. I've been looking into, uh, fundraising and when you fundraise in the US you need to have a broker dealer license if you're looking to get a commission for success.

Sean Weisbrot: And so I don't know anything about that.

Sean Weisbrot: So I said, Hey, Gemini, what's the deal with this broker dealer license?

Sean Weisbrot: So it says, well, blah, blah, blah, blah, blah, blah, and it just, you know, tells you everything you need to know about this thing, and then you can go in and you ask questions, right?

Sean Weisbrot: Everyone knows how these chat bots work. And I know that if I want to code something, like I, I'll open cursor and you know, these days I'm not paying for a cursor anymore, but I have the application you can use for free.

Sean Weisbrot: So I just open the different files of my, because I, I, I vibe coded my current website.

Sean Weisbrot: So all of the files are there. I just have to go and, and change the files as I want.

Sean Weisbrot: And I don't need to generally use the, the AI anymore because I've learned how to read all the files and, and edit everything.

Sean Weisbrot: But like when it comes to N eight N and automations and workflows and these kinds of things, I just haven't gotten there because I, I don't think there's anything that I do.

Sean Weisbrot: Like there's a lot of aspects of managing the podcast, which I freaking wish I could automate, but.

Sean Weisbrot: I just don't know how, because there's so, it, it's so complex.

Sean Weisbrot: There's, it's so many steps that require different software and I, I just don't know, like, I don't know if it's possible, but, so I, if I could automate the podcast, that would make my life very happy because I, I spend a lot of time on the podcast.

Sean Weisbrot: It's, it's tremendous amount of energy. More than Yes, I

Tim Cakir: I would, I would say don't automate the podcast, automate the operations around the podcast. Right.

Tim Cakir: Uh, you know, we still want you on the podcast. They're not an AI avatar of Sean.

Tim Cakir: No, I, I, I'm just curious.

Sean Weisbrot: I wouldn't want to do that. Um, but there's things around like.

Sean Weisbrot: The, the editor has the file, he uploads it to Google Drive, so now I have to download it.

Sean Weisbrot: Then I have to open it, I have to watch it, I watch it at three to four x to make sure that I've, I, that there's no issues with it.

Sean Weisbrot: I can't trust an AI to tell me that there's no issues with this video file or the audio file.

Sean Weisbrot: Right? So I, I have to do that. And then once that's done, I have to open Audacity.

Sean Weisbrot: I have to rip an MP three out of it. I have to open up.

Sean Weisbrot: Uh, Stu, you know, YouTube studio and open up Acast and upload the audio and the video, and then I have to go to, to another one.

Sean Weisbrot: I think you can automate

Tim Cakir: most of it. You can automate apart, you watching the vi uh, the video.

Sean Weisbrot: Well, there's a hell of a lot more beyond that too.

Tim Cakir: Yeah, well, I mean, like the ones that you just told me, there's a lot of it that you can automate and nobody here is saying, you know, let's automate a hundred percent, uh, you know, let's automate 80%, you know, and let's have that 20%.

Tim Cakir: Um. You know, when, just earlier on you were saying about vibe coding, a tool and so on, those are all new things, right?

Tim Cakir: So, so, so, so you're creating new things, which, uh, is much more difficult because you're still figuring it out.

Tim Cakir: Um, but you've ran your podcast, what is it, 286 episodes today? Is that something like that?

Sean Weisbrot: Yeah, five and a half years.

Tim Cakir: Yeah, so 286 episodes, I'm, I'm sure you know how to, how to run a podcast, right?

Tim Cakir: So, uh, you kind of gave me a, a few bullet points.

Tim Cakir: I would focus on some of those processes and I would say to myself, I'd be like, you know, it sucks that, and then take that as a prompt, as a human prompt and complete the rest.

Tim Cakir: It sucks that I need to download the Google Doc, uh, or the Google Drive file.

Tim Cakir: And, and so when I have to go to it and I have to take out, um, the, the audio file put on ity and convert it to MP three.

Tim Cakir: I think that one can be done. So if your editor uploads it automatically, your AI could say, oh, something new downloaded, right?

Tim Cakir: You could build that on make.com, on on, on Zaia, wherever, on N eight 10.

Tim Cakir: And it could say, all right, well download it, send you a thing, and it could also review it.

Tim Cakir: There is a big chance that you could get it reviewed, not the whole thing, you know, and you still have to kind of have another go at it, but at least you can save yourself time there.

Tim Cakir: It could separate the MP three files.

Tim Cakir: You know, it's the same idea as like opus clip or something like that.

Tim Cakir: Right now, you know, before, if you did a long video, a long podcast of 30 minutes, uh, to get, you know, five shorts out of it, you need another editor and you need, you know, time and they're gonna charge you about 30 bucks an hour.

Tim Cakir: And they're gonna take, what, five, six hours to do it.

Tim Cakir: Right. Today you just go to Opus Clip, Opus Pro. I don't know what it's called anymore.

Tim Cakir: You just upload the 30 minutes. Opus Pro it. Yeah. Opus Pro. Yeah.

Tim Cakir: It gives you, it gives you about 90% of it done and then, you know, the 10% is like, oh yeah, it just cut here, let me, let me change that.

Tim Cakir: But that's getting better as well, right?

Tim Cakir: The, you know, the next version is gonna be like.

Tim Cakir: 95% there, you know, so, so I think that we're kind of giving up too early on AI and, and we're like, oh, it doesn't work.

Tim Cakir: Let me not just do it. Um, but I've been pushing myself the last two months, especially with Cloud Code, because I was like, you know what?

Tim Cakir: Clothing the terminal. You know, I'm not, I wasn't technical and AI is making me technical.

Tim Cakir: I think you had that same, we spoke about a earlier Yes.

Tim Cakir: You know, it's like I was not technical whatsoever. I wasn't an introvert and I couldn't get into code.

Tim Cakir: Um, and now I love building stuff and, and I got obsessed about, uh, cloth code systems.

Tim Cakir: Where it's a workflow that has multiple subagents, right? Uh, and the subagent has tools and has skills, uh, and then, uh, together in a workflow, it does a process.

Tim Cakir: It does my sales sy my sales system. I don't have a CRM anymore.

Tim Cakir: My CRM is marked down files on my computer. Because the second that I finish a call, you know what I do is I take my granola transcript and I say to, uh, I open up Claude.

Tim Cakir: I say, here's this post-sales call, uh, transcript. It reads it, it figures it out.

Tim Cakir: It goes to my sales folder. It says, oh, but this is a new lead. Great.

Tim Cakir: It's a call one done. It puts it in the folder.

Tim Cakir: It does The whole research about the company, uh, research about the person we've spoken hopefully about pain points and so on, it already matches, uh, matches my services and what I'm gonna.

Tim Cakir: Price, and then it gives me an email and it says, here's your post session email. Right?

Tim Cakir: Right now I'm not automating the sending because I wanna look at it, but the other day I was like, oh shit, this is really good.

Tim Cakir: I didn't even have to do any change. You know, the first few, I had to do a bunch of changes.

Tim Cakir: Now I didn't, but I wanna see that 10 times.

Tim Cakir: If 10, 15 times I don't have to do changes, I'm like, okay, well this is ready.

Tim Cakir: Then I'll, I'll plug in the ZA PMCP that has Gmail sent email, and I'll be like, all right, you know, send those emails automatically.

Tim Cakir: So slowly but surely. And, and we all wanna, like, we work with so many clients, uh, you know, we do the training, they love it and they're like, wow, AI is incredible.

Tim Cakir: The things we're gonna do, they get so into it, you know, 'cause I'm very into it.

Tim Cakir: And then they're like, okay, now I want an agent that is gonna do this and this and this and that, and blah, blah blah.

Tim Cakir: And I'm like. Wow. Have you ever done that before? They're like, no, I haven't.

Tim Cakir: I'm like, so why do you, you know?

Tim Cakir: He's like, well, agents are incredible. We can do things we've never imagined. I'm like, hold on, hold on.

Tim Cakir: How many hours do you report a month? Five hours.

Tim Cakir: How many hours do you spend building a sales deck or whatever, 10 hours. So, okay, well here's gamma, right?

Tim Cakir: That's reduced to 15 minutes. Now suddenly, you know, they're like, oh, we have, I have a couple of templates, and I put a prompt and it just customize it.

Tim Cakir: You don't even have to put a prompt. You put the post post-sales call, you put it on gamma, uh, or you put your whole CRM kind of sheet into it of that, of that deal.

Tim Cakir: And it just creates the, the, the deck. It's like, oh shit.

Tim Cakir: So you save yourself 14 and a half hours. Now what are you gonna do with those hours?

Tim Cakir: You know? Uh, okay, I can sell more. I can do this more. Right?

Tim Cakir: So a lot of people once really this incredible shiny things that is gonna happen while they're not realizing that they're doing low cognitive, boring work.

Tim Cakir: And I'm gonna say it again and again. We do a lot of boring work.

Tim Cakir: Why are we doing this boring work?

Tim Cakir: It sucks our energy. And that boring work really does suck our energy.

Tim Cakir: And you feel like you haven't done anything right? Because if you just work on boring work, which we do a lot, I think that it's even more than half of our week, you don't feel you've achieved anything.

Tim Cakir: You know, the, the feeling of achievement is the high Yeah, yeah, exactly.

Tim Cakir: The, you know, me too. I was like, I'm getting better.

Tim Cakir: But, you know, the, the high cognitive, you know, achieving things, it makes you excited and it makes you show up, you know, the rest, it's, it's draining.

Tim Cakir: And that's how you go to burnout. It's by, you know, copy pasting, uh, spreadsheet information, you know.

Tim Cakir: Or taking things and putting on folders and finding files in folders.

Tim Cakir: You know, like this takes us hours and nobody realizes that this takes us hours, you know?

Tim Cakir: And we have to go on a meeting to tell our four other team members about the new client and the deal and what's gonna happen and blah, blah, blah.

Tim Cakir: And it's like. You wasted not just your time, you wasted other four people's time where that could have been fully automated and you know, it could have created a, a whole summary and it could have gave you on Slack or whatever you are using, and the whole team could have been like, oh, thumbs up.

Tim Cakir: I, I read that. You could even manually go to Notebook Lamb. Create a podcast.

Tim Cakir: If people prefer to listen to a podcast while they're walking, running, come into the office if you have one or whatever.

Tim Cakir: Bam. They can listen to a podcast. There's so many new ways of doing what we've been doing, but it's just that because we've been doing what we've been doing for so many years, we're stuck there.

Tim Cakir: And, and this is why people love to work with us, is because I come in and I'm like, why are you doing it like that?

Tim Cakir: And they're like, I don't know. It's just, we've been doing it like this.

Tim Cakir: I'm like, hold on, hold on, hold on. Can we do this this way? And they're like, oh. Shit.

Tim Cakir: Can really AI do that? Yeah, absolutely.

Tim Cakir: It can do that. You know, uh, and then we kind of semi-automated or you know, or sometimes fully automate some, uh, they go, oh shit, I just saved tons of hours.

Tim Cakir: I'm like, great. So what's next? You know, they're like, well, next is, I have this thing that I don't like to do.

Tim Cakir: I'm like, okay, great. Show me. What's that thing?

Tim Cakir: Right? And if they have a flow chart, if they have a documentation, they have a loom video or anything like that, you get it very quickly and there's a, there's a 90 plus percent chance the AI's gonna get it as well, because we have the transcript like.

Tim Cakir: We had an interview with this client and here's their flow, here's their process.

Tim Cakir: You know, how can we kind of semi-automate this? You know, and I say semi-automate because I still don't believe in, like when ai, when large language models are involved, I'm not into full automation yet.

Tim Cakir: Right? Um, but I'm okay with 90, 95% and having a human in the loop.

Tim Cakir: And human in the loop now can just be that on Slack in the morning, you wake up and you got a bunch of things and you have an approve, reject, or edit button.

Tim Cakir: So, so that works now and on Slack it like, oh, I approve this post. I don't approve this thing.

Tim Cakir: Why not? Right? Because of this. Go do it again.

Tim Cakir: You know, we have Canva, MCP or Canva, uh, as an integration now as well.

Tim Cakir: If you have templates there of LinkedIn Carbu cells or whatever, it can also, it can also feed that, you know, there's so many things that we can do.

Tim Cakir: It's just that you have to drill down into small.

Tim Cakir: Processes that are boring and painful and not, I'm gonna change my whole company's data ingestion and blah, blah, blah.

Tim Cakir: If you do that, it's six months. It's still six months, and there's gonna be errors and it's gonna be painful.

Tim Cakir: But if you tell me, Hey, I take two hours, uh, every week, you know, to follow up with leads, well great.

Tim Cakir: Let's remove those two hours.

Sean Weisbrot: So I tried to automate my problem away with the podcast by creating a software that I thought actually, so it, it was, it was a, a, a software that actually was designed to do what an agent can do, but with a UI in front.

Sean Weisbrot: Mm-hmm. Where agents didn't exist yet. This was like maybe, I think the very beginning of this year.

Sean Weisbrot: Something like that. I think that's before agents became a thing.

Sean Weisbrot: And so I thought if I, uh, have this thing, then you know, I can, it'll get uploaded, pulled in by YouTube.

Sean Weisbrot: So you have all the data and then you can, you know, it'll automatically get the MP three and then it'll automatically do this thing and generate this thing and this thing and this thing and this, and you can basically automate the process.

Sean Weisbrot: And, and you know, now that I think about it, really an agent could probably do that with cps and.

Sean Weisbrot: Like, why do you even need the UI for it?

Tim Cakir: Yeah. Well that's, I think that we, you know, uh, this, you, I was saying that the, the other day, and it is, I think the most funniest thing in the world is that 90% of my work now is on the terminal, you know?

Tim Cakir: And it, and, and it's awful. It's just a bunch of texts in a black screen, you know, and it's like lots of texts going, and it's really boring when you think about it.

Tim Cakir: But I get very. Excited because it's achieving a low things in the backend, and I don't really need a ui, you know, I just have to read.

Tim Cakir: And now I even speak to my machine, you know, with aqua voice, with dictation tools, you know, so I tell code, code, I'm like, oh, yeah, ask me 10 questions about that, or Ask me whatever need question you need about this.

Tim Cakir: And I just ask me, I, I, I press my shortcut and I just talk to it, and I just talk very naturally.

Tim Cakir: And then I go get my coffee, and then 30 minutes later it's kind of built that system.

Tim Cakir: I'm like, oh. Shit, this is awesome. Now you have even CLO skills and um, clothes.

Tim Cakir: Uh, so NA 10 MCP that can build the NA 10, uh, automation for you.

Tim Cakir: You know, you can kind of brainstorm with CLO and closed code and they'll be like, great, can you now use the MCP of NA 10 and just build it?

Tim Cakir: And it just kind of builds the whole thing. And yes, there is still maybe 10%, sometime up to 20% that you still have to fix and you have to log in. You have to make sure you have your integrations, but you know, you've got the 80% done.

Tim Cakir: Uh, and I think we, you know, I couldn't imagine this, if you ask me this even a year ago, you know, I, I knew something was coming when I saw cha pt, um, you know, GT three and a half, uh, three years ago, and it couldn't do a poem.

Tim Cakir: We couldn't do any humor. It was terrible, right? Uh, and I was like, oh, okay. But.

Tim Cakir: Something very exciting about this. Um, and I was in AI about 10, 10 years ago in, uh, computer vision, uh, image recognition for real estate, which was super boring, right?

Tim Cakir: If you think that about it. I was the head of marketing. Our sales cycle was 18 months.

Tim Cakir: It was awful. It was awful. Nobody wanted ai. They didn't know what AI was.

Tim Cakir: And then years later, this chat PT thing comes and I was like, oh, this is interesting.

Tim Cakir: And then about 14, 15 months ago, you know, uh, I quit a CEO role.

Tim Cakir: Um, uh, you know, I was a partner and I had a really good salary and I quit it.

Tim Cakir: Um, because I found a mission. And my mission is, is to help, uh, starting for myself because I practiced this on myself.

Tim Cakir: And then, and then I help others on. Reducing the boring, the repetitive.

Tim Cakir: I have a DHD and hyperactivity and you know, in what, 14 years of my career or whatever.

Tim Cakir: Um, I never, I, I now feel that I never liked the job and I was, I like the titles, I like the salaries, you know, and, and I just went for it because you have to work, right?

Tim Cakir: That's the, that's the, uh, that's the. That's the ecosystem we live in. It's like that we all have to work, we have to earn money, we have to pay for stuff.

Tim Cakir: Uh, and then I had, you know, uh, my daughter, uh, a year and a half later I had Che GPT, uh, and I was like, oh, okay, this is interesting.

Tim Cakir: And about two years after Che G pt, you know, and I was like, shit, I found what I wanna do in life.

Tim Cakir: You know, it's. Make sense of this technology and, you know, reduce the boring and the work that I never wanted to do, reduce that and do what I love, which is helping others, training others, you know, uh, solving problems.

Tim Cakir: You know, solving, solving my own problems, and then solving other people's problem. Like your podcast problem.

Tim Cakir: It's something that I absolutely. Love to show up day in, day out.

Tim Cakir: You know, it's like, I love it when people, people just call me randomly.

Tim Cakir: They're like, Tim, I have this challenge, you know, I have this problem.

Tim Cakir: I'm like, great, you know, challenge accepted, you know, and, and, and we brainstorm and we find solutions.

Tim Cakir: And the solution that I'm gonna give you is not always the sexiest UI, and it's gonna look great.

Tim Cakir: And it might be that yes, it's on your terminal and it's, and, and, and it's a command line interface, kind of commands that you have to run on your computer and it doesn't look great.

Tim Cakir: Uh, but it does the job.

Sean Weisbrot: Thanks for watching. If you liked this insight, I've handpicked another video for you right here on the screen.

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