All right, this is my daily update for All right, this is my daily update for All right, this is my daily update for my build and public log. my build and public log. my build and public log. Yesterday was really really busy. I Yesterday was really really busy. I Yesterday was really really busy. I worked really really hard on this. Um worked really really hard on this. Um worked really really hard on this. Um I’m going to I’m going to do a quick I’m going to I’m going to do a quick I’m going to I’m going to do a quick demo. Uh what the hell have I been demo. Uh what the hell have I been demo. Uh what the hell have I been working on? So first of all, um I’m working on? So first of all, um I’m working on? So first of all, um I’m trying to build a micro SAS out of a trying to build a micro SAS out of a trying to build a micro SAS out of a micro AI agent that I built. I I see the micro AI agent that I built. I I see the micro AI agent that I built. I I see the same pain almost weekly now. Uh, and I same pain almost weekly now. Uh, and I same pain almost weekly now. Uh, and I and I want to build a product to address and I want to build a product to address and I want to build a product to address this pain that I’m having. I’m building this pain that I’m having. I’m building this pain that I’m having. I’m building this first for myself and then for this first for myself and then for this first for myself and then for others. What the hell am I building a others. What the hell am I building a others. What the hell am I building a tool that you can quickly schedule an tool that you can quickly schedule an tool that you can quickly schedule an event on your calendar from text? event on your calendar from text? event on your calendar from text? That text can be copy and paste from That text can be copy and paste from That text can be copy and paste from anything that that obviously like you anything that that obviously like you anything that that obviously like you would have to like look at and manually would have to like look at and manually would have to like look at and manually go put an event on your calendar. small go put an event on your calendar. small go put an event on your calendar. small thing, you know, takes like what, a thing, you know, takes like what, a thing, you know, takes like what, a couple minutes out of my time, but I I couple minutes out of my time, but I I couple minutes out of my time, but I I frequently have to do this and it drives frequently have to do this and it drives frequently have to do this and it drives me nuts. I just want to be able to click me nuts. I just want to be able to click me nuts. I just want to be able to click and effortlessly add something to my and effortlessly add something to my and effortlessly add something to my calendar. Uh, what the hell did I do calendar. Uh, what the hell did I do calendar. Uh, what the hell did I do yesterday? I ended up spending a lot of yesterday? I ended up spending a lot of yesterday? I ended up spending a lot of yesterday making the queueing system I yesterday making the queueing system I yesterday making the queueing system I have. So, I I built this agents code. have. So, I I built this agents code. have. So, I I built this agents code. This is a framework/runner This is a framework/runner This is a framework/runner for micro AI agents. So, I kind of threw for micro AI agents. So, I kind of threw for micro AI agents. So, I kind of threw this out there to see if there’s any this out there to see if there’s any this out there to see if there’s any interest. People, a lot of people interest. People, a lot of people interest. People, a lot of people checked it out, but nobody clicked the checked it out, but nobody clicked the checked it out, but nobody clicked the buy button. And it’s probably probably, buy button. And it’s probably probably, buy button. And it’s probably probably, to be blunt, good. Nobody did that. to be blunt, good. Nobody did that. to be blunt, good. Nobody did that. Well, it would have been nice to have Well, it would have been nice to have Well, it would have been nice to have feedback, but I I see now after me feedback, but I I see now after me feedback, but I I see now after me actually using this thing a lot, I see actually using this thing a lot, I see actually using this thing a lot, I see what needs to be done. There’s a lot of what needs to be done. There’s a lot of what needs to be done. There’s a lot of work that needs to be done for this work that needs to be done for this work that needs to be done for this thing. So, this SAS is going to call thing. So, this SAS is going to call thing. So, this SAS is going to call agents code. that agent, that micro agents code. that agent, that micro agents code. that agent, that micro agent, the SK advent scheduling agent. agent, the SK advent scheduling agent. agent, the SK advent scheduling agent. But as I’ve been doing, you know, using But as I’ve been doing, you know, using But as I’ve been doing, you know, using it quite a bit, I realized, god, there’s it quite a bit, I realized, god, there’s it quite a bit, I realized, god, there’s so many problems. So, uh, I’m not so many problems. So, uh, I’m not so many problems. So, uh, I’m not problems. It just needs a lot of work. problems. It just needs a lot of work. problems. It just needs a lot of work. So, yesterday, I spent a lot of time on So, yesterday, I spent a lot of time on So, yesterday, I spent a lot of time on this on the worker scheduling queue, this on the worker scheduling queue, this on the worker scheduling queue, like all of that. I I saw some issues like all of that. I I saw some issues like all of that. I I saw some issues and it took me hours. So, a good chunk and it took me hours. So, a good chunk and it took me hours. So, a good chunk of yesterday was figuring out some some of yesterday was figuring out some some of yesterday was figuring out some some funkiness there, fixing that, and the funkiness there, fixing that, and the funkiness there, fixing that, and the rest of the time was spent just focused rest of the time was spent just focused rest of the time was spent just focused on figuring out like how do you what’s on figuring out like how do you what’s on figuring out like how do you what’s the best way to have the LLM look at an the best way to have the LLM look at an the best way to have the LLM look at an image and make the event from the image. image and make the event from the image. image and make the event from the image. So, I got something working. I’m going So, I got something working. I’m going So, I got something working. I’m going to show that off right now. I found this to show that off right now. I found this to show that off right now. I found this on This is pretty funny. I found this on on This is pretty funny. I found this on on This is pretty funny. I found this on uh Instagram just like randomly. I was uh Instagram just like randomly. I was uh Instagram just like randomly. I was trying to find horrible flyers. No trying to find horrible flyers. No trying to find horrible flyers. No offense. offense. offense. I mean, cool. There’s a lot of Indians I mean, cool. There’s a lot of Indians I mean, cool. There’s a lot of Indians in in in London. I have no hate. But in in in London. I have no hate. But in in in London. I have no hate. But like even me as a human to look at this like even me as a human to look at this like even me as a human to look at this and like understand the and like understand the and like understand the when is it, where is it, what time, even when is it, where is it, what time, even when is it, where is it, what time, even me as a human, it takes several seconds me as a human, it takes several seconds me as a human, it takes several seconds to like look at this thing and be like, to like look at this thing and be like, to like look at this thing and be like, “What the fuck?” Uh, okay. “What the fuck?” Uh, okay. “What the fuck?” Uh, okay. This is a perfect example. We’re going This is a perfect example. We’re going This is a perfect example. We’re going to upload this to the agent and create an event. and create an event. and create an event. Now, this is a real demo. Let’s see if Now, this is a real demo. Let’s see if Now, this is a real demo. Let’s see if this works. Every time I try to do a this works. Every time I try to do a this works. Every time I try to do a real demo, something fails. And this is real demo, something fails. And this is real demo, something fails. And this is all the UI is all going to change. This all the UI is all going to change. This all the UI is all going to change. This is just I’m just trying to get it is just I’m just trying to get it is just I’m just trying to get it working and then I’m going to work working and then I’m going to work working and then I’m going to work backwards and make the UI better. Looks backwards and make the UI better. Looks backwards and make the UI better. Looks like it’s working. It’s so slow. Oh, I like it’s working. It’s so slow. Oh, I like it’s working. It’s so slow. Oh, I don’t know. That That’s another thing I don’t know. That That’s another thing I don’t know. That That’s another thing I need to look at is like why is this so need to look at is like why is this so need to look at is like why is this so slow? It’s running locally, though. It’s slow? It’s running locally, though. It’s slow? It’s running locally, though. It’s not like actually running on the server. not like actually running on the server. not like actually running on the server. Uh, Uh, Uh, let’s see. It’s the 25th. let’s see. It’s the 25th. let’s see. It’s the 25th. It is 11 to 5 a.m. 5:00 a.m. Damn, man. It is 11 to 5 a.m. 5:00 a.m. Damn, man. It is 11 to 5 a.m. 5:00 a.m. Damn, man. Let me tell you, that better be a good Let me tell you, that better be a good Let me tell you, that better be a good party for me to be there until 5:00 a.m. party for me to be there until 5:00 a.m. party for me to be there until 5:00 a.m. [ ] It better be one rager of a party. [ ] It better be one rager of a party. [ ] It better be one rager of a party. Um, okay. So, something is off. So, for some weird So, something is off. So, for some weird So, something is off. So, for some weird reason, it only did to 4:00 a.m. So, reason, it only did to 4:00 a.m. So, reason, it only did to 4:00 a.m. So, this is this is a this is a good example this is this is a this is a good example this is this is a this is a good example of what is of what is of what is um frustrating about building an agent. um frustrating about building an agent. um frustrating about building an agent. So, you So, you So, you it it almost like perfectly worked, but it it almost like perfectly worked, but it it almost like perfectly worked, but like the end time was off by an hour. like the end time was off by an hour. like the end time was off by an hour. It’s like, well, why why is it off by an It’s like, well, why why is it off by an It’s like, well, why why is it off by an hour? You just don’t know because it’s hour? You just don’t know because it’s hour? You just don’t know because it’s like a black box. But I do know like a black box. But I do know like a black box. But I do know partially why it’s kind of working. But partially why it’s kind of working. But partially why it’s kind of working. But why why is it off? Because the model is why why is it off? Because the model is why why is it off? Because the model is not that good. I noticed that with um not that good. I noticed that with um not that good. I noticed that with um chat GBT5 it this is this is all working chat GBT5 it this is this is all working chat GBT5 it this is this is all working so much better. But right now it’s so much better. But right now it’s so much better. But right now it’s pointed to 40 and it’s just not as good pointed to 40 and it’s just not as good pointed to 40 and it’s just not as good of a model. It really isn’t. So anyway, of a model. It really isn’t. So anyway, of a model. It really isn’t. So anyway, so yesterday was a lot of figuring out so yesterday was a lot of figuring out so yesterday was a lot of figuring out like how do you how do you actually like like how do you how do you actually like like how do you how do you actually like programmatically call the the LLM with a programmatically call the the LLM with a programmatically call the the LLM with a with an image. So I took a while to to with an image. So I took a while to to with an image. So I took a while to to work through that took a while to figure work through that took a while to figure work through that took a while to figure out the Q stuff, but I have this out the Q stuff, but I have this out the Q stuff, but I have this basically working. But as you can see, basically working. But as you can see, basically working. But as you can see, still something off. Still not done. Uh still something off. Still not done. Uh still something off. Still not done. Uh so that’s what I’m going to be working so that’s what I’m going to be working so that’s what I’m going to be working on today. So, I really need the eval to on today. So, I really need the eval to on today. So, I really need the eval to know like know like know like what percentage is it is it working? what percentage is it is it working? what percentage is it is it working? What percentage What percentage What percentage um does one field fail? Like for um does one field fail? Like for um does one field fail? Like for example, maybe it gets the date right example, maybe it gets the date right example, maybe it gets the date right 99% of the time. What about the end 99% of the time. What about the end 99% of the time. What about the end time? How accurate is that? You know, it time? How accurate is that? You know, it time? How accurate is that? You know, it it’s it’s so frustrating it’s it’s so frustrating it’s it’s so frustrating to not know. And I see this mistake with to not know. And I see this mistake with to not know. And I see this mistake with a lot of people building agents. They a lot of people building agents. They a lot of people building agents. They have no evaluation at all. Well, they have no evaluation at all. Well, they have no evaluation at all. Well, they don’t even know how to do that. And it’s don’t even know how to do that. And it’s don’t even know how to do that. And it’s like, well, okay, it works in a demo, like, well, okay, it works in a demo, like, well, okay, it works in a demo, but how is this going to hold up in but how is this going to hold up in but how is this going to hold up in production with real users and real edge production with real users and real edge production with real users and real edge cases? It’s pretty pretty wild that it’s cases? It’s pretty pretty wild that it’s cases? It’s pretty pretty wild that it’s the wild west with AI agents. And the the wild west with AI agents. And the the wild west with AI agents. And the whole I the whole focus for me to build whole I the whole focus for me to build whole I the whole focus for me to build agents code was I wanted um really high agents code was I wanted um really high agents code was I wanted um really high precision micro agents where I do have precision micro agents where I do have precision micro agents where I do have that data and and that like the that data and and that like the that data and and that like the long-term road map was to do that to long-term road map was to do that to long-term road map was to do that to like actually build out the tooling so like actually build out the tooling so like actually build out the tooling so there is really high precision you do there is really high precision you do there is really high precision you do have evals you do have proper testing have evals you do have proper testing have evals you do have proper testing but this is not easy stuff this this all but this is not easy stuff this this all but this is not easy stuff this this all takes a lot of lot of work and effort takes a lot of lot of work and effort takes a lot of lot of work and effort but I’m going to make sure to start with but I’m going to make sure to start with but I’m going to make sure to start with this agent and this product. I’m going this agent and this product. I’m going this agent and this product. I’m going to have that precision. It’s not going to have that precision. It’s not going to have that precision. It’s not going to be perfect at first. I’m I’m not to be perfect at first. I’m I’m not to be perfect at first. I’m I’m not going to stop until it is actually going to stop until it is actually going to stop until it is actually like really really precise. I’m still like really really precise. I’m still like really really precise. I’m still aiming to get this out the door this aiming to get this out the door this aiming to get this out the door this week. I want people to be hammering away week. I want people to be hammering away week. I want people to be hammering away and trying this out. And honestly, I and trying this out. And honestly, I and trying this out. And honestly, I need this thing. I used this uh need this thing. I used this uh need this thing. I used this uh yesterday. I used it like literally yesterday. I used it like literally yesterday. I used it like literally there was a real thing. I copied and there was a real thing. I copied and there was a real thing. I copied and pasted and put it in my calendar and I pasted and put it in my calendar and I pasted and put it in my calendar and I was like, “Fuck yes. I’m I’m I’m on the was like, “Fuck yes. I’m I’m I’m on the was like, “Fuck yes. I’m I’m I’m on the right path because I didn’t want to like right path because I didn’t want to like right path because I didn’t want to like create that event myself. It was going create that event myself. It was going create that event myself. It was going to take me a couple minutes.” All right, to take me a couple minutes.” All right, to take me a couple minutes.” All right, on to questions and comments. Questions on to questions and comments. Questions on to questions and comments. Questions and comments today. Uh if you are and comments today. Uh if you are and comments today. Uh if you are watching this, please, please, if you watching this, please, please, if you watching this, please, please, if you could just take a quick moment to drop a could just take a quick moment to drop a could just take a quick moment to drop a comment scheduling issues. If you could comment scheduling issues. If you could comment scheduling issues. If you could just type that in, that helps the just type that in, that helps the just type that in, that helps the algorithm a lot. or just click the like algorithm a lot. or just click the like algorithm a lot. or just click the like button. That also helps tremendously. button. That also helps tremendously. button. That also helps tremendously. I’d super super appreciate it. Onto my I’d super super appreciate it. Onto my I’d super super appreciate it. Onto my random story for today. So, I talked random story for today. So, I talked random story for today. So, I talked about this in a previous video. I am about this in a previous video. I am about this in a previous video. I am attempting to read a lot more. Um, attempting to read a lot more. Um, attempting to read a lot more. Um, traditionally, I have not been a big traditionally, I have not been a big traditionally, I have not been a big reader. I would read a lot of articles, reader. I would read a lot of articles, reader. I would read a lot of articles, but I wouldn’t like read a book like but I wouldn’t like read a book like but I wouldn’t like read a book like cover to cover. So I I used to read a cover to cover. So I I used to read a cover to cover. So I I used to read a fair amount of news, a fair amount of fair amount of news, a fair amount of fair amount of news, a fair amount of articles, even some long long form articles, even some long long form articles, even some long long form pieces, but not like cover to cover pieces, but not like cover to cover pieces, but not like cover to cover books. I’m trying to shift away from books. I’m trying to shift away from books. I’m trying to shift away from like doom scrolling on Twitter or like doom scrolling on Twitter or like doom scrolling on Twitter or whatever. X and then watching bunch of whatever. X and then watching bunch of whatever. X and then watching bunch of YouTube. I’m trying to like go deeper YouTube. I’m trying to like go deeper YouTube. I’m trying to like go deeper and read. And I’m doing that by like and read. And I’m doing that by like and read. And I’m doing that by like blocking off a time at my calendar. I’m blocking off a time at my calendar. I’m blocking off a time at my calendar. I’m obsessed with the calendar. But like obsessed with the calendar. But like obsessed with the calendar. But like actually just making like a actually just making like a actually just making like a non-negotiable part of my day. like this non-negotiable part of my day. like this non-negotiable part of my day. like this time and non-negotiable I’m sitting down time and non-negotiable I’m sitting down time and non-negotiable I’m sitting down to read and so the one book I’m reading to read and so the one book I’m reading to read and so the one book I’m reading I’m almost done with the book actually I’m almost done with the book actually I’m almost done with the book actually it’s called [ ] jobs it is uh it’s called [ ] jobs it is uh it’s called [ ] jobs it is uh written by this author who wrote a written by this author who wrote a written by this author who wrote a article about [ ] jobs like oh over article about [ ] jobs like oh over article about [ ] jobs like oh over 10 years ago now and got a lot of 10 years ago now and got a lot of 10 years ago now and got a lot of traction went viral and then he was like traction went viral and then he was like traction went viral and then he was like oh I really tapped into something here oh I really tapped into something here oh I really tapped into something here and then he did a lot of work to and then he did a lot of work to and then he did a lot of work to interview people and then write this interview people and then write this interview people and then write this book uh came out in 2018, so it’s a book uh came out in 2018, so it’s a book uh came out in 2018, so it’s a little bit old, but not completely crazy little bit old, but not completely crazy little bit old, but not completely crazy outdated. And it made me think, God, how outdated. And it made me think, God, how outdated. And it made me think, God, how many jobs how many how many [ ] many jobs how many how many [ ] many jobs how many how many [ ] jobs did I have that that fit this jobs did I have that that fit this jobs did I have that that fit this definition? He has a I won’t go into the definition? He has a I won’t go into the definition? He has a I won’t go into the details of the book, but he he has a details of the book, but he he has a details of the book, but he he has a tight definition of what a [ ] job tight definition of what a [ ] job tight definition of what a [ ] job is. It was less it was more narrowed is. It was less it was more narrowed is. It was less it was more narrowed down than I had in my head what I down than I had in my head what I down than I had in my head what I thought he meant. And I thought, okay, thought he meant. And I thought, okay, thought he meant. And I thought, okay, what what like true [ ] jobs did I what what like true [ ] jobs did I what what like true [ ] jobs did I have? And I was like, oh yeah, I had one have? And I was like, oh yeah, I had one have? And I was like, oh yeah, I had one major [ ] job. And I’m going to major [ ] job. And I’m going to major [ ] job. And I’m going to tell you about that right now. So about tell you about that right now. So about tell you about that right now. So about the time when I when I was about 18 the time when I when I was about 18 the time when I when I was about 18 years old, I became a security guard. years old, I became a security guard. years old, I became a security guard. Rent a cop as as we call it, as people Rent a cop as as we call it, as people Rent a cop as as we call it, as people often told me. I was a security guard. often told me. I was a security guard. often told me. I was a security guard. Boy, did I have some [ ] jobs doing Boy, did I have some [ ] jobs doing Boy, did I have some [ ] jobs doing that. So when when you’re a security that. So when when you’re a security that. So when when you’re a security guard at that company at the time at guard at that company at the time at guard at that company at the time at least you would randomly be placed least you would randomly be placed least you would randomly be placed they’d be like okay you’re going over they’d be like okay you’re going over they’d be like okay you’re going over here today or this week this week go here today or this week this week go here today or this week this week go every day these days to this place and every day these days to this place and every day these days to this place and do this at these hours. Okay often I do this at these hours. Okay often I do this at these hours. Okay often I felt like I was in a location like yeah felt like I was in a location like yeah felt like I was in a location like yeah they actually need someone to like watch they actually need someone to like watch they actually need someone to like watch over and make sure people aren’t running over and make sure people aren’t running over and make sure people aren’t running around stealing everything. Some of around stealing everything. Some of around stealing everything. Some of those jobs made sense, some of those those jobs made sense, some of those those jobs made sense, some of those gigs, but some of them were [ ] gigs, but some of them were [ ] gigs, but some of them were [ ] [ ] jobs for sure. like and the [ ] jobs for sure. like and the [ ] jobs for sure. like and the worst one was uh there was this rich guy worst one was uh there was this rich guy worst one was uh there was this rich guy who had a uh really big house and from who had a uh really big house and from who had a uh really big house and from the front it looks like a decent house the front it looks like a decent house the front it looks like a decent house and you wouldn’t think too too too much and you wouldn’t think too too too much and you wouldn’t think too too too much about it from from driving by but what about it from from driving by but what about it from from driving by but what but I actually would I have actually but I actually would I have actually but I actually would I have actually been on the property and walked around been on the property and walked around been on the property and walked around when you saw the property from inside when you saw the property from inside when you saw the property from inside you’re like holy [ ] this is a mansion you’re like holy [ ] this is a mansion you’re like holy [ ] this is a mansion and the the property is huge and really and the the property is huge and really and the the property is huge and really actually [ ] nice. Why was this a actually [ ] nice. Why was this a actually [ ] nice. Why was this a [ ] job? I had to stand there on [ ] job? I had to stand there on [ ] job? I had to stand there on the street in front of the house, in the street in front of the house, in the street in front of the house, in front of the gate, just standing there. front of the gate, just standing there. front of the gate, just standing there. Uh, you know, they got mad if you sat, Uh, you know, they got mad if you sat, Uh, you know, they got mad if you sat, but I I would sit often because [ ] but I I would sit often because [ ] but I I would sit often because [ ] that. Uh, in the heat, in the rain, it that. Uh, in the heat, in the rain, it that. Uh, in the heat, in the rain, it doesn’t matter. My my hometown is very doesn’t matter. My my hometown is very doesn’t matter. My my hometown is very hot and I was out there in the summer in hot and I was out there in the summer in hot and I was out there in the summer in the peak hottest days of the summer uh the peak hottest days of the summer uh the peak hottest days of the summer uh where it was like 110° plus uh 40 plus where it was like 110° plus uh 40 plus where it was like 110° plus uh 40 plus C. So I would just be standing there in C. So I would just be standing there in C. So I would just be standing there in the shade doing absolutely nothing, the shade doing absolutely nothing, the shade doing absolutely nothing, sweating, bored to tears. And why was sweating, bored to tears. And why was sweating, bored to tears. And why was this [ ] Because the they this this [ ] Because the they this this [ ] Because the they this rich guy wanted someone out there to rich guy wanted someone out there to rich guy wanted someone out there to look kind of important. It wasn’t really look kind of important. It wasn’t really look kind of important. It wasn’t really to like secure the property. Somebody to like secure the property. Somebody to like secure the property. Somebody could have been in the back. Someone could have been in the back. Someone could have been in the back. Someone could have been hopped over the fence, could have been hopped over the fence, could have been hopped over the fence, been in the back, breaking in. You been in the back, breaking in. You been in the back, breaking in. You wouldn’t have known just standing there wouldn’t have known just standing there wouldn’t have known just standing there out front. He was also to watch after out front. He was also to watch after out front. He was also to watch after the sun. So, the son was a little older the sun. So, the son was a little older the sun. So, the son was a little older than me, like in his early 20s at the than me, like in his early 20s at the than me, like in his early 20s at the time. And he actually was pretty cool. I time. And he actually was pretty cool. I time. And he actually was pretty cool. I he would often come by and I would talk he would often come by and I would talk he would often come by and I would talk to him. He invited me once to a party, to him. He invited me once to a party, to him. He invited me once to a party, but I felt like a peasant. So, I did I but I felt like a peasant. So, I did I but I felt like a peasant. So, I did I was like, “No, I’m not going to go.” was like, “No, I’m not going to go.” was like, “No, I’m not going to go.” That’s I wasn’t supposed to let him come That’s I wasn’t supposed to let him come That’s I wasn’t supposed to let him come with friends. I was like supposed to with friends. I was like supposed to with friends. I was like supposed to kind of rat out the sun if he was kind of rat out the sun if he was kind of rat out the sun if he was partying or bringing people. I didn’t partying or bringing people. I didn’t partying or bringing people. I didn’t give a [ ] One time he came and there give a [ ] One time he came and there give a [ ] One time he came and there was a party and I didn’t say anything. was a party and I didn’t say anything. was a party and I didn’t say anything. He invited me because hey, you’re don’t He invited me because hey, you’re don’t He invited me because hey, you’re don’t don’t snitch on me to my dad kind of don’t snitch on me to my dad kind of don’t snitch on me to my dad kind of thing. U and the dad was this really thing. U and the dad was this really thing. U and the dad was this really weird old guy for for having this you weird old guy for for having this you weird old guy for for having this you know he the son was just a few years know he the son was just a few years know he the son was just a few years older than me and his dad was way older older than me and his dad was way older older than me and his dad was way older than my dad like he was like a kind of than my dad like he was like a kind of than my dad like he was like a kind of an old man like almost retirement age so an old man like almost retirement age so an old man like almost retirement age so he clearly had kids at a really old age he clearly had kids at a really old age he clearly had kids at a really old age and he was this like Mr. Burns from the and he was this like Mr. Burns from the and he was this like Mr. Burns from the Simpson kind of like a like really old Simpson kind of like a like really old Simpson kind of like a like really old grouchy rich kind of guy vibe like he he grouchy rich kind of guy vibe like he he grouchy rich kind of guy vibe like he he was almost like a cartoon character of a was almost like a cartoon character of a was almost like a cartoon character of a rich person. It was very bizarre. But he rich person. It was very bizarre. But he rich person. It was very bizarre. But he wanted that security guard standing wanted that security guard standing wanted that security guard standing there in the stupid cheap uniform. Not there in the stupid cheap uniform. Not there in the stupid cheap uniform. Not even like this. I was not like a classy even like this. I was not like a classy even like this. I was not like a classy guard or anything. It was kind of a guard or anything. It was kind of a guard or anything. It was kind of a lowbudget cheap security guard. But he lowbudget cheap security guard. But he lowbudget cheap security guard. But he wanted someone standing there so he wanted someone standing there so he wanted someone standing there so he could look important. Maybe rat out his could look important. Maybe rat out his could look important. Maybe rat out his son or keep his son in check. Why? Like son or keep his son in check. Why? Like son or keep his son in check. Why? Like let the kid just He seemed like an okay let the kid just He seemed like an okay let the kid just He seemed like an okay guy. But such [ ] job just standing guy. But such [ ] job just standing guy. But such [ ] job just standing there so he can look important. What there so he can look important. What there so he can look important. What about you? Have you ever had a [ ] about you? Have you ever had a [ ] about you? Have you ever had a [ ] job? I would I would actually comment job? I would I would actually comment job? I would I would actually comment that cuz I would love to hear about some that cuz I would love to hear about some that cuz I would love to hear about some [ ] jobs. I would say like almost [ ] jobs. I would say like almost [ ] jobs. I would say like almost all my jobs I ever had were not all my jobs I ever had were not all my jobs I ever had were not [ ] Uh that was the only [ ] [ ] Uh that was the only [ ] [ ] Uh that was the only [ ] I never had a corporate [ ] job. uh I never had a corporate [ ] job. uh I never had a corporate [ ] job. uh being software engineer it’s like no being software engineer it’s like no being software engineer it’s like no you’re you always have work to do you’re you’re you always have work to do you’re you’re you always have work to do you’re actually building and shipping and and actually building and shipping and and actually building and shipping and and and actually building things that the and actually building things that the and actually building things that the company needs to make money on. I never company needs to make money on. I never company needs to make money on. I never never had like a corporate [ ] job never had like a corporate [ ] job never had like a corporate [ ] job like where I’m sitting around doing like where I’m sitting around doing like where I’m sitting around doing nothing. Some of the examples in the nothing. Some of the examples in the nothing. Some of the examples in the book are pretty wild. I would love love book are pretty wild. I would love love book are pretty wild. I would love love love to hear more [ ] jobs. I love love to hear more [ ] jobs. I love love to hear more [ ] jobs. I love that [ ] That that that blows my mind. that [ ] That that that blows my mind. that [ ] That that that blows my mind. People sitting around doing nothing all People sitting around doing nothing all People sitting around doing nothing all day like it would be utterly miserable day like it would be utterly miserable day like it would be utterly miserable for me. that that job was so utterly for me. that that job was so utterly for me. that that job was so utterly miserable. Like just standing there miserable. Like just standing there miserable. Like just standing there doing absolutely nothing. Oh, and they doing absolutely nothing. Oh, and they doing absolutely nothing. Oh, and they did they didn’t want you on your phone. did they didn’t want you on your phone. did they didn’t want you on your phone. And I had a smartphone at the time, so I And I had a smartphone at the time, so I And I had a smartphone at the time, so I was like, “Yeah, [ ] that. I have this was like, “Yeah, [ ] that. I have this was like, “Yeah, [ ] that. I have this cool phone.” I was always on my phone. I cool phone.” I was always on my phone. I cool phone.” I was always on my phone. I didn’t give a [ ] It’s like, “Fire me. didn’t give a [ ] It’s like, “Fire me. didn’t give a [ ] It’s like, “Fire me. This stupid [ ] job. Whatever. I’m This stupid [ ] job. Whatever. I’m This stupid [ ] job. Whatever. I’m not going to stand here like a soldier not going to stand here like a soldier not going to stand here like a soldier for, you know, eight hours doing for, you know, eight hours doing for, you know, eight hours doing nothing.” Like that. That’s just insane. nothing.” Like that. That’s just insane. nothing.” Like that. That’s just insane. All right, that’s all I got for today. All right, that’s all I got for today. All right, that’s all I got for today. See you tomorrow.
Description
I got my AI agent to create an event from an image. Still more work to go.
Don’t want to follow along on YT? https://howtoautomate.dev
Join the community https://discord.gg/QB4U8J4Kc9
See ya all tomorrow!
Summary
Daily Update: Building a Micro AI Scheduling Tool
Yesterday, I worked intensively on my micro SaaS project that uses a micro AI agent to automate scheduling events from text and images, aiming to eliminate the tedious task of manually adding events to my calendar. I demonstrated a prototype that, despite some issues like inaccurate end times and slow processing, shows promise and underlines the importance of rigorous evaluation. I also reflected on my past experiences as a security guard, a job that taught me about the inefficiencies in routine tasks, and discussed my new habit of dedicating time to read, moving away from aimless browsing. This update captures both the technical challenges I faced in fine-tuning the agent and a personal journey toward productivity and self-improvement.
AI with Steve build in public
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