The Creator Using AI To Go Viral | Will Weinbach

[00:00:00]While I was trying to improve upon my agent, I prompted it wrong. And this is for the company account and it posted like four times at 4:00 a.m. and I was like dead to sleep. But I wake up in the morning, I'm like, "Thank God this is on brand." Cuz if it wasn't, like I wouldn't be going into work the next day. [laughter] I don't want to spend the money on a Mac Mini, but if my television can connect to Wi-Fi, like, why can't I just run an agent on it? And then, yeah, I called Parth at like 3:00 a.m., "What do you think about this?" He was like, "I'll believe it when I see it."

[00:00:25]>> I was like, "I don't know anyone that's put an agent in their TV." And then I'm like, "Why would you put your agent in the TV? Can't you just control the TV with your agent?" I get a message at 5:00 a.m. He's like, "It worked part of the Holy shit." The token grantee program gives $1,000 a week in tokens to high potential creators already deep in AI across film, gaming, comics, print, and digital art. There are no tool restrictions. The freedom to choose is the point. Grantees also get access to my own custom fleet of agents and an ongoing collaboration with me. The goal to close the gap between an idea and the world.

[00:01:03]>> Will uh welcome uh and Parth introduce Will to the folks who are who are uh listening.

[00:01:10]>> Will and I met about five years ago on Clubhouse, the audio social network that went viral during the pandemic. I was working on the app. Will was one of our most prolific users, one of the most creative people I met through the platform. When I met Will, I realized in pretty much immediately, oh, this guy is this guy when he puts his mind to something, he will put more energy towards that achieving that than anyone else. It doesn't matter if he starts at zero. What he gets done in a year, how much energy and time he puts into getting good at something. You can only guarantee that he will have something figured out a year from now that you haven't because of how passionate he is.

[00:01:44]And I saw that with Clubhouse. I saw that with like him learning music, didn't know music, then became very good at producing music within a year. When language models came out, you know, he was using he was using Google and whatnot. But I I a couple years ago, I think I I basically added him to my Replet teams plan. I have a personal I have a family plan. I call it my family plan. It's just a bunch of friends that I put on Replet because I'm like, "Guys, guys, VIP code, just make something.

[00:02:08]Just make something." And I put Will on it and I was like, "I'm just excited to see what you'll make. you know, you're creative guy and not a not an engineer by by trade. So, it's sort of an experiment for me. It's like, oh, what happens when you just put someone that has an idea or like a bunch of ideas and you pair them with some of the most interesting, powerful new technologies available, you know, what can you create? And I'd say since then, it's been quite a journey. So, knowing I picked Will even before this program, I was like, "Oh, I can't wait to see what he does with these new tools." Now I I feel like Will teaches me more than I teach him almost every single day with these tools. So um welcome Will. Uh excited to have you on, man.

[00:02:45]>> Thanks. That was a that was a great intro parth. I love that. Yeah, I'm excited to be here.

[00:02:51]>> Okay, so um just a few years ago, Will, you hadn't write written a single line of code and I guess how did you fall into vibe coding, making software, making apps? like what's your what's your kind of like road into this into this world?

[00:03:08]>> Well, like you said, I use chat GPT for everything, but not in the way I use it now. Like I would ask a generic question like, you know, hey, I have this essay that I need to write. Um, and you're going to write it for me. And that's that's how I was using it to start off.

[00:03:24]Um, and then obviously uh had met Parth through Clubhouse and and Parth came to me and was like, you're using this all wrong. And uh I was like, "Dude, no, I'm not." Um and it turned into, "Hey, think about your pain points from workflows and then just build the answer." I was like, "What do you mean build the answer?" Um and it turned into like learning codecs, not how to code. I I still don't know how to code to this day. I don't know anything that it's doing, but I think that also serves as an advantage. you know, I learned how to prompt better and now it's turned into how to create automations and how to build workflows and then uh how to enlist agents to do my everyday tasks that I don't I don't really want to do and it's a it's a it's it's a superpower at the end of the day. So, how does the kind of being able to bring a beginner's mind like the coding thing you were talking about and things like the the the the ability to kind of start fresh and where does that then build into important expertise?

[00:04:27]>> I think the best analogy I can make is when I was starting to learn how to produce, I would just put a bunch of things in the DAW and it would mesh together to make a sound whether it was good or bad. And then you start learning the technical details of, okay, I need to EQ and this curve needs to be here and now my DBs need to be at this level.

[00:04:46]So the mix sounds a certain way and it clouds your creativity and judgment in a way where now you're getting no progress done because you're fixated on certain details. And I think for me when it comes to coding, I don't know the back end. Like I don't know what a lot of this means. I don't know how to pronounce half of the things that I'm reading on the codec screen. Parth constantly corrects me.

[00:05:07]>> Actually, I stopped correcting. I stopped correcting Will because I think it's funnier if he gets five years into his career as a vibe coder and still doesn't know how to pronounce like repo.

[00:05:16]He says he calls repo repo [laughter] just >> rep light [laughter] >> rep light. Um, all of that to say, I think that not having any expertise in the industry allows me to be more creative. And I think the creativity plays into new learnings, uh, and a willingness to try new things that others might be hesitant to because they know the potential damages that I don't.

[00:05:41]And, and frankly, there there's a bit of a uh internal perception where I don't really care either. Like, I'm willing to take the risk to get the reward. kind of along this lines of Will's willingness to experiment um is if I think about like this year especially since February. February was when Open Clo kind of went viral. It came out in November but it went viral in February and um I was kind of hesitant installing it. I was telling Reed we had our own remote agents we had and I was like we got agents that are not insane that are that are working pretty well. I'm not sure I want to bring OpenClaw into this yet um until I figure out a way to contain it in its own little Mac Mini.

[00:06:21]And um so I I installed OpenClaw on I think February 15th of 2026 and and at the same time Will was deep in codeex and then I told Will about openclaw and him you know him being more experimental having maybe less existing stuff that he was worried about losing he installed openclaw immediately and started like studying this new paradigm this new kind of remote agent paradigm more and I think deeper than anyone I know even technically right so I'm like now relying ing on Will to to help me unpack this new paradigm of the remote agent that works 24/7 that can use its own computer and then in six weeks later will introduced me to an even better agent in my opinion uh the Hermes agent.

[00:07:04]So will maybe speak more to that like your exposure of like you went from coding agents vibe coding to this like now you have these remote agents the Hermes the openclaw type systems which are now becoming more mainstream in industry um as uh the the rest of the year starts playing out and these systems get more productized but they're very hacker projects. What's your experience been with these?

[00:07:26]>> Right. I mean, I got into OpenClaw originally because, you know, Parthy recommended it. Um, and originally Parth also recommended installing OpenClaw on a VPS uh because I could potentially lose everything on my computer. And um I did that, but then I realized I don't know how to to work a VPS. So then I was just like, you know what, whatever's on the computer can be replaced. So we installed it in terminal. Um, and I was fascinated by, you know, how you could, uh, program the language to speak a certain way to match, you know, your work style. Um, but I thought that openclaw lacked a certain amount of visibility that I think Hermes gives you. Um, so then, you know, we were browsing X one day and came across uh, Hermes as a recommendation and, uh, obviously there's just a fascination with installing and trying. So, uh, installed Hermes and found it to answer a lot of the questions that were left, uh, not answered by OpenClaw, such as, you know, hey, I have visibility into exactly what this agent is doing. Not that I know what it means, but I have visibility into the agent, um, you know, why it's creating a skill, how it's improving on previous skills based on my prompting all autonomously.

[00:08:41]Um, and I think what these agents offer that maybe Codeex doesn't um is a a user's POV as to what features could enhance agents in the first place.

[00:08:54]Um I think obviously once open claw came out codec started to implement a lot of the features that they had created on the platform. Um and it feels ahead from a feature basis than you know some of the premier model platforms. Um, B, working style. I think the working style, you can obviously program it to be however you want from a per uh, personalization standpoint. Um, and I think that's another value ad to a user.

[00:09:21]Uh, and then C, and one of the most important aspects is the memory context and being able to, uh, you know, tell it virtually anything and being able to save that in stored memory to then act upon it at a later point, which I think some of the frontier platforms are getting better at. But um at this point there's so much memory memory logged into my Hermes agent in the last 3 months that uh it's too valuable to give up even though it's just files. I I don't want to transfer it.

[00:09:48]>> So one of the things that's very cool because I now understand where Hermes came from and and entered into our ecosystem >> is no [laughter] great um is is kind of like how did you kind of discover you started with Open Claw then jumped to Hermes. Why Hermes? And then from there, what are the other things that you're seeing that are part of some of the, you know, call it the the agentic framework of, you know, the the near future.

[00:10:18]>> I'm on social chronically in in the best and worst ways. And I think especially in the world of AI and the age of AI, social's a great place to find user recommendations as to what are the pain points, what needs to be solved, and what are the solutions. Uh, and I just love to test anything I possibly can. So that's how we came across Hermes. Test it. Um, and then it was the answer for us. A lot of the things we test are not the answer, but Hermes was. Um, in terms of what I see the future being, I think a lot of these different agents can serve different purposes and and right now I run one agent because I think it's easier for me from an understanding standpoint, but uh, we're starting to get into the realm where and and Parth, you know this because you have eight Mac minis, but we're getting into the realm of creating different agents for different, you know, parts of your life or business. So my agent's obviously very good at social media because that's what I specialize in. Um so knows a lot of the retention strategies or um you know content creation strategies from a GPT image 2 and seance 2.0 standpoint but um I was introduced to graph rag and it's basically the democratization of um information uh that you can basically use to prompt and you know these agents can prompt for you. So I think it's starting to build different agents in different spaces with you know graph rags that run these these autonomous loops to complete the tasks that I might not be so knowledgeable in but they can do it a hundred times better than I can.

[00:11:56]>> Right. So this is this is the idea of getting an agent to construct a knowledge graph on a domain before you begin working in that domain. Right.

[00:12:04]>> Right. Very very powerful new technique especially when we have these like Hermes agent every five hours going oh by the way I learned this new thing and I've saved it. Oh, I've learned this new thing. Oh, let me update my skill. There is something about the the speed at which it constantly improves, tries to improve itself, which is something that I haven't seen in in um you know, it feels like for like the frontier models, the agents we're talking to kind of stay at the same level and then when they get a model improvement, then they improve.

[00:12:32]But skills and memory are a huge way to improve before the model even improves itself. It's just, you know, writing down the important information about the task that the user wants. So, I think the the Hermes ecosystem of like rewriting your abilities constantly on the fly as the user's needs change and evolve is very interesting. Will >> tell us [laughter] tell us about a project. So, you're you're used to running a lot of the like a lot of these times of types of autonomous systems, maybe a little bit more liberally than me, but um I always learn a lot every time you figure something out or you know uh run yourself over. Can you tell tell me about a project where you gave an agent um autonomy and it paid off?

[00:13:16]>> My favorite project ever built is this autonomous social agent. So, it'll pull videos, create videos, it'll edit the videos, it'll add copy and text overlays all based on the parameters I give it.

[00:13:28]It'll then, you know, post to a content calendar and post to social autonomously. And then it has API access to read analytics and improve upon that.

[00:13:39]So, while I was trying to improve upon my agent, um, I prompted it wrong, I guess. And, uh, and this is for the company account, right? like this is for like work at at a company that I work for. Um, and it posted like four times at 4:00 a.m. and I was like dead asleep, but I wake up in the morning, I'm like, "Thank God this is on brand cuz if it wasn't like I wouldn't be going into work the next day." [laughter] Um, but like it posted four times or however many times it was.

[00:14:09]Like by the way, not like spaced out hour to hour. It was like back to back to back to back in like a 4-minute period. Um, and then I real like my biggest takeaway was just I need to I need to learn a little bit about setting the the parameters in my initial loop prompts. Um, because then it'll it'll understand the context of what it shouldn't shouldn't do and and maybe I should uh >> give it more more uh more structure.

[00:14:35]>> Well, say a little also about because obviously we're anticipating this wave of agentic participation in social media. and it's already there but like it actually hasn't really picked up to the full tsunami uh that is very soon like what are some of the positive lessons what are some of the negative lessons what do you anticipate happening within kind of the social sphere given you know kind of you know AI autonomous you know social systems and everything else beginning more and more present >> I think in part we were talking about this last night there's I think a skepticism around AI content right now, which limits the number of templates that you can post on social without a certain amount of feedback.

[00:15:23]For instance, I'm a lot safer posting an animated video of a dog than I am AI generating a dog. But that said, like at the root and core of social, and Reed, you probably know this better than anybody for that matter. Uh I think it comes down to an aspect of human psychology of why does somebody watch a video? Why does somebody skip the video?

[00:15:44]Um, why does somebody share a piece of content? And I think that, you know, AI makes this a lot easier to understand for the, you know, the social media manager or the, you know, 22-year-old that just graduated college and wants to be an influencer. Um, it allows you to a figure out what works from a content perspective based on like true performance data. Um, and then you know you can even create a graph rag now for you know human psychology for it to give you very structured recommendations based on the content that you put out.

[00:16:19]Um, and I mean for me I'm just running a fully autonomous social workflow. Um, from you know the the whole funnel of social uh and ultimately >> Yeah. Talk talk about that talk about the entire feedback loop again.

[00:16:33]>> Exactly. Yeah.

[00:16:33]>> Yeah. Yeah. Let's do it. So basically we have a licensed content library because obviously at the moment like we're limited to a number of content templates that we can use across social. So I it has a list of parameters of what it can and can't pull. For instance, if we're going to edit content and add text overlays to uh tie back to our company, I don't want text overlays on the video already. Um I want a certain duration of video. Um I want a certain like look and feel of the video as well that I know performs better in the industry that I'm in. Um, so based on all these parameters, it'll filter through this licensed content library that has like thousands and thousands of videos and images. It'll create selects and reject others using dupe logic. So it won't ever see, you know, the same video twice for efficiency. Um, and then it has a copyrightiting skill. So this is basically a workflow with a ton of skills that come together to create, you know, one very improved loop. Um, so then it'll analyze the video again that it just chose and it'll say, "All right, you know, this dog is doing, you know, this thing in this location and it'll come up with a text overlay based on the guidance I gave it of of what works from like a text overlay perspective, feeding it hundreds of our top performing videos and uh hundreds of videos from other companies. Um, and then the caption will always tie back to our company and like a very uh like a nod like it's not in your face as an ad. Um, you know, from here it'll then schedule it on this great platform called Ordinal, which is basically an autonomous content calendar with an API. So, the API is the game changer because now I can schedule and it'll post on its own >> and this is to every single social platform at the same time.

[00:18:18]>> Right. Right. That's like the power of ordinal. can connect it to LinkedIn, Tik Tok, YouTube, and I can cross post at the same time.

[00:18:25]>> Um, and then from here, I'm connected into the back end uh through an API key with with Instagram uh meta, I guess.

[00:18:34]So, I can now read the performance data, which I learned goes very in depth in the API key like you can see average watch time, you can see skip rate, uh, which in my opinion are the two most valuable assets for distribution. Um, and then based on that feedback and you know the content it generated or selected, it'll create like an auto auto revisement loop. So it's test like constantly AB testing new formats um to see what works to to hit a specific goal I gave it.

[00:19:03]>> Yeah. And so this is like a longer running goal like a more autonomous system. What what agents are you using to orchestrate this kind of thing? Oh, this is running on cloud. Because basically this started as me saying, I don't want to scroll this licensed content library because it's time consuming. So, I want the agent to do it. And I was like, well, I don't really want to edit either. I want the agent to do it. I was like, well, copyrightiting takes a lot of time. I want the agent to do it. H, scheduling stuff on the calendar is pretty pretty timeconuming as well. And then it just turned into this workflow of all these different skills built together, which I suppose I could feed to a Hermes agent and it would do the same thing if I gave it the files. Um, but I think this >> so so the workflow is encoded in skills and skills are essentially portable across agents anyways, >> right?

[00:19:50]>> Yeah. Yeah. Wow.

[00:19:51]>> You can put this anywhere. So, what's what's been like, you know, kind of one of the things that is very cool about everything, not just Discovery Hermes and the other like, you know, not just Pioneer, but like, you know, bleeding edge forward scout.

[00:20:08]Um, you know, you had the 4 a.m. rogue posting story, but what's been some of the like, huh, I thought that would work, it doesn't yet or or huh, that was really weird or unexpected delight.

[00:20:20]Like, what's some of the the things from the scouting? This is a wild project and I don't know why I did it, but I set out to put a Hermes agent on my television.

[00:20:29]And this was like three days ago. And my idea was, hey, I don't want to spend the money on a Mac Mini, but if my television can connect to Wi-Fi and it can do all of the things that my computer can do to an extent, like, why can't I just run an agent on it? And then, yeah, I called Parth at like 3:00 a.m. I was like, "Dude, what do you uh what do you think about this?" this. He was like, "I'll believe it when I see it."

[00:20:53]>> I was like I was like I was like, "I don't know anyone that's put an agent in their TV." And then I'm like, "Why would you put your agent in the TV? Can't you just control the TV with your agent?"

[00:21:00]I'm like, "We're there's open questions." And he's like not interested in that car. He's like, "I'm just going to put the agent on and let you know when it works." [laughter] >> Which, by the way, it worked. Very, very surprised and delight. And I think >> I get a message at 5 a.m. He's like, "It worked hard." Holy [ __ ] [laughter] But I think the bigger learning for me was like if I can do that then there's no reason we can't put AI in and basically anything that could connect to Wi-Fi or Bluetooth which is >> incredibly interesting from a hardware perspective.

[00:21:30]>> Um because I think like as we shift to AI and and everything becomes more about trust like being able to have like something handheld is going to become very like a very valuable asset. And yeah, >> do you think that we'll end up in a world where more and more of our appliances all have some sort of a agent inside them?

[00:21:48]>> I think we're already seeing that now.

[00:21:50][laughter] >> Well, certainly our podcasts, but yes.

[00:21:54]>> Is there an agent in here? I mean, I'm sure there's an agent in here. It's probably like granleing on the back end.

[00:21:59][laughter] >> Yes, exactly. That's an interesting point on the it goes back to a theme of like Reed and I have been talking about was like agents listening in on a on a on an episode or something. Imagine I have friends that have have have been like they'll be on a sales call and then the agents vibe coding the the feature that they're talking about while they're selling the feature. And I'm talking about really collapsing the gap between, you know, selling an idea and actually like making it. There's some interesting new things that are new paradigms that are coming online for sure. Yeah. Hey, well, you figured out how to allow multiple people to speak to your agent at one time to give it more POVs to make it even smarter, which is a really interesting concept.

[00:22:42]>> Yes, actually putting these like these OpenClaw Hermes type systems in a group chat in a or in a Slack channel actually allows multiple people to evol it evolves alongside like the whole team of everyone that's talking to. And uh I that's been a I think that's going to be a huge learning for a lot of people now as Claude is now going to be more of an agent inside of Slack. So enterprises are going to get this agent that's just evolving with the enterprise kind of like how Hermes evolves with us but like at enterprise scale that's that's about to come online this year. Yeah. So what do you think what do you think the like one of the things that that is like you know related and deep to the social media and AI but also something that's kind of useful for you know us older fogies um you know or in in the as I've been taught in the language of of contemporary youth unks um uh you know what's what's the thing that you know kind of the young social strategist ists understand about culture that you know the older marketing teams, the older folks, the other things still miss and is really important to to to to glean into.

[00:23:56]>> I think we all grow up in in different generations that have different forms of of marketing or sharing messages. And I think you know older teens probably I mean I wasn't around but I would assume uh grew up in an era of like print and out of home where you know from my youth I grew up an era of short form video content and we live in an attention economy and I think a lot of senior marketers might you know miss out on you know the point of being broad across social. I think a a lot of marketers want to zone in on a specific key messaging point or niche, but then it feels like you're only talking to your audience, which is capped from a distribution standpoint at some point. Um, so I think going broad and finding creative ways in your hooks, um, allows you to reach this new audience, uh, you know, and and the audience you want to speak to is built in in that that new audience. Um, and it leads to halo effects, right? I would much rather get a million views on a video uh and generate 20,000 profile views than have a million followers and my ceiling is 10,000 views on a post. Uh and you know that's just the extent of it. Um but just like you know millennials might think differently about Gen Z. Like I don't know what Gen Alpha is doing. Like do I want to know what Gen Alpha is doing? I don't know.

[00:25:20]That's a that's a different that's a different question and conversation. but they're going to have inherently different content styles than Gen Z will, well, you know, millennials will, which boomers will. Um, I think it's just built into the culture of how we grow up.

[00:25:33]>> Do you have any like kind of frameworks for thinking about why people enjoy content, why people watch something, why people turn off from it.

[00:25:41]>> Why do people watch content? It comes down to human psychology, right? Like why would I want to share this video?

[00:25:47]Like a maybe it's like a sense of identity, right? like this is me and I'm going to share that on my story because I resonate with this. Or uh maybe it's a sense of connection like hey par this video reminded me of you so I'm going to send it to you. Or maybe it's an idea of status like this is what I know and I'm going to show what I know because that you know puts me on a pedestal. Um maybe it's emotion like this video made me laugh or cry. Um and I think it's important to think about all of these things while you know coming up with content ideas. Um, and also framing content ideas from the perspective of the viewer. Like I think a lot of people think what's our goal with this piece of content, but that's not how the viewer watches your content, right? So I like to think about content, what's the first 3 seconds going to be? Cool. That's interesting. What's the next 3 seconds going to be? Cool. That's interesting.

[00:26:37]What's the payoff at the end going to be so somebody watches the full 9 seconds a second time? Um, and I think like understanding the ideas of human psychology and how people consume content helps you to create better content.

[00:26:50]>> Well, and one thing for the old and the young is seconds, not minutes.

[00:26:54]>> Yeah.

[00:26:54]>> Yes. [laughter] >> Hey, I don't know. I remember growing up they're like threehour movies and now it's like an hour and 47 is is tough to get through.

[00:27:03]>> Wow. [laughter] >> For me, maybe. I don't know.

[00:27:07]>> I know. Do do you feel you feel that the attention spans have definitely like do you consume any long form? What kind of long form do you consume?

[00:27:16]>> I think the longest content I'll consume is like maybe like a television episode if I'm watching a series or something.

[00:27:24]But I think even like with myself like my attention span has shrunk over the years for sure and I think I'll it'll continue to shrink as will everybody society.

[00:27:33]>> Well the only joke response to that is sorry what did you just say? But yeah, anyway, [laughter] >> I don't even remember.

[00:27:39]>> Yes, exactly. That was so that was so five seconds ago. [laughter] >> Awesome. Will um it's been so much fun talking to you. I I hear that you have a question for maybe me and Reed. Would you like to bring to the table?

[00:27:53]>> I do. Um, being a a newly into corporate culture, I think a lot of how uh, you know, the youth are getting jobs nowadays has to do with, you know, the resume, like where did you go to college, what's your work experience? And I think that we're entering this AI era of how well can you, you know, use the tools around you to accomplish a certain task, whether that's in work or in general. And I think it's it's an interesting question because you know Reed you built LinkedIn which is a professional networking platform. Um and if you know this value inherently shifts to you know a capability to use tools like AI and you know I'm 22 and don't have work experience but I know how to utilize my AI agents to create incredible efficiency.

[00:28:47]um what does the new system of measurement look like for corporations if the resume becomes obsolete >> and it's not just because of LinkedIn I don't think the resume will become obsolete but I think the as it were think of it as a resume as a platform what the modularity and what the components of it may change a lot and obviously you know the current resume tends to be a lot of you know kind of self assertions of title and company and some other things which are sometimes either you know kind of added in with endorsement or a reference check But you could easily imagine like an almost certain future where you have some AIs that are trusted as kind of certification agents that are in your workflow or work loop with you that say, "Oh, look, you know, uh, Parth's really good at this and Will's really good at this." and and kind of adding in a set of things that were like, hey, I was there in the workflow validating that it is actually will and here's some things that I think are, you know, particularly capable or good skills or other kinds of things. It's almost like thinking about like, you know, thinking of like AI agents, you know, checking GitHub repos, but also the check-ins, not just the repo itself, but the flow of it and everything else and being part of it. I think that's like one thing in this in this vehicle that I think we will we will see more of. I think it'll also be, you know, kind of a little bit more and this is, you know, kind of still in the LinkedIn context, but what do other human beings say? Um because you know the the question is we ultimately you know trust like for example you know uh you and I both trust Parth and so when Parth says hey I've I've done this or experienced this we go okay that's interesting or oh I think you know um you know he trusts you and like you go Hermes and he goes ah okay drop open claw start Hermes right as a as a direction I think all of that will be added into the kind of the the identity which will get much more dynamic, much more interactive um for how we assess and come together and collaborate professionally.

[00:31:04]>> I have no followup. I mean, I feel like that had like answered my question, but Par, it'd be interesting to hear your POV, too. And I think shifting it a little bit, you hear about, you know, how it's a very difficult job market right now, right?

[00:31:18]>> And I mean, my gut is like, hey, you just create an agent to just mass apply to jobs that fit a criteria for you. But but what would you focus on if you're a college student if you want to have real leverage, you know, in a in a quote unquote uh tough job environment?

[00:31:36]>> Parth, before you go, because I I [clears throat] want to actually slightly mod this, but then I want to hear your thing and then I we probably have to wrap. But the um roughly speaking, I think the huge opportunity for college students is we are AI native. We actually have been using it through our studies and all the rest and we have this understanding far beyond most of the people who are outside who are already in the workflow. There's only you know small numbers of people you par others who are who are really diving into this. So it's like I have a chance to really add AI to your organization to catalyze it. That should be the pitch. It's less of a volume and more of a use it to get that edge, right? Use it like as opposed to just write a cover letter for me. It's to do something that's kind of like AI specific for that particular opportunity, that particular organization and demonstrate your abilities. That that's where I'd start.

[00:32:31]But anyway, I just wanted to make sure because I think it's really important for, you know, youth which thinks it's economic opportunities this year is limited by AI, which is not. It's actually limited by overhiring in the pandemic, uh, tariff wars, which are causing business uncertainty and a bunch of other things. The AI impact is actually is is tertiary to those, but it's an opportunity, right? So anyway, so but Parth, you should answer and then we should uh >> you know, we should wrap this time till next.

[00:33:01]>> No, I echo that uh 100%. I think what I might add is I mean look look at Will like Will is the social native, right?

[00:33:08]He understand he grew up and existed in the vertical video short form. When Will sits me down for 15 minutes to go through my content and why people like or dislike my content and what I'm doing right and wrong, he sees it in a very natively way, like he understands like he's thinking about the caption. He's thinking about the framing. He's like, "Oh, you have you have this text, but it's being clipped by the overlay of Instagram. Like your positioning is uh your composition is off or like this is why people like don't really want to stick around after 15 seconds." And that lens that he brings comes from him being you know obviously natively social. I think the same thing is true for working with like there's no textbook right now for working with AI. There's no there's no class that you can take that'll make you like certified yet because you know the tools came out three months ago.

[00:33:57]We're we're only 3 months into the Hermes paradigm and you know pretty soon that'll be in the in corporations but we'll have this three-month advantage of like working with these systems orchestrating them across a range of tasks. So I think it's it's like being able to like for us being early to build experience knowing that the title doesn't really exist yet the world the working world is still trying to like grapple with these these concepts. us just demonstrating and talking about what we're seeing is actually the biggest thing because then people will instead of you applying, you're signaling to your whole network, hey guys, I've figured this out, you know, you want to work with me, you know where to find me. And I think that's a better approach than like the blind apply to 800 companies because you have an agent that can do it, which is naive. It's actually much better to establish who you are and put that out there as your personal and as you're teaching me, get better at content. um establish that and then and then the right people will kind of gravitate towards you in that in that way.

[00:34:55]>> So, >> yep, totally agree. Uh Will Parth, I look forward to the next. It's awesome.

[00:35:02]>> Absolutely. Thanks, Will. It's great to have you, man.

[00:35:05]>> Thank you both.

[00:35:06]>> Possible is produced by Pallet Media.

[00:35:08]It's hosted by Arif Finger and me, Reed Hoffman. Our showrunner is Sha Young.

[00:35:13]Possible is produced by Tanasiados, Katie Sanders, Spencer Stramore, Emozu, Amansuri, Danny Garrison, Trent Barbosza, and Tafoda Neimarunway.

[00:35:24]Special thanks to Syria Yalamanchili, Saya Sabva, Ian Alice, Greg Biato, Parth Patil, and Ben Relis.