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- [00:01]
A
So today we are going to tell you step by step how to build an agent in Perplexity Computer. But not just any agent, one that helps you work with creators, which is a huge marketing trend right now. And most businesses should be partnering and working with creators. So we're going to merge creator best practices with building a really cool agent. We're going to do all of that in Perplexity Computer. Let's get to today's show.
- [00:35]
B
Okay. On this episode, we're actually going to live Vibe, build a tool that most marketers would benefit from. I think we are. We'll see how far we get because we're doing this live with no prep. We're doing a lot doing it live. We're going to compare and contrast Perplexity Computer, which Kip is super excited to buy Claude Code, which both of us are super excited by. We're going to each take one of these tools and we are going to build a creator hub. I think this is a channel that has become an ever more present and important in B2B, which is how do you distribute your product or services through creators? There's some good tooling for that, but we're going to show you how you could potentially build a lightweight creator tool to help you do this for your business or service, and at the end, hopefully have something that we can actually share alongside the episode. So, Kipp, are you ready for some live building?
- [01:25]
A
Let's do this. Let's do some building.
- [01:27]
B
Okay, so you're going to take cloud
- [01:28]
A
code, we're going to put the same prompt in both. Right. So I think, Kieran, you're about to work on a prompt and you'll share with everybody watching kind of what we think the core steps of building a creator hub. And we say creator hub, what we mean is a tool that's going to let you identify creators to partner with, do the outreach, probably propose, like, the economics and rough contract details so that you could actually sponsor different creators in your industry.
- [01:54]
B
Right.
- [01:55]
A
And Kieran, you said before we actually started recording that you're like, hey, I've kind of have an unusual workflow, but I think it's really important that you share your workflow with people. So why don't you tell people kind of like how you approach a problem like this?
- [02:07]
B
So one of the ways that I would do this is everything for me starts with Claude, even when I'm using other tools. So when I'm building in cloud code, I weirdly use Claude Opus to kind of go back with, and then I prompt Claude code. I do think it saves you tokens. From what I understand, it's like cheaper to go Claude versus Claude Code.
- [02:25]
A
Kieran, we're in the era of token maxing, you know, everybody's just trying to spend all the tokens, you know.
- [02:30]
B
Well, if you are a customer of Manus, which I am, you can spend an infinite amount of the tokens. They are a pricey tool.
- [02:35]
A
All of the multimodal tools, proxy computer use a lot of tokens too.
- [02:39]
B
All right, so we're going to do this live. So I always get like kind of embarrassed by my prompting skills when we're doing live because it takes me a few iterations to go back and forth. Claude, are you there? Yeah, I'm here.
- [02:49]
C
Sorry. Sounds like something's not working the way you expected. What isn't? Doing what? Give me a bit more context and I'll help.
- [02:55]
A
Sort of British accent. It's so good.
- [02:57]
B
I mean. All right, Claude, you are going to act as my CTO for this tool we want to build. So you're a elite level cto. You know how to build lightweight tools for non technical users and make them incredibly simplistic to use using best practices from the best point solution tools in terms of UX and time to value. For this tool we are going to build a creator hub for marketeers and that creator hub is going to have the following functionality. It's going to be a creator hub. The marketer can come to the creator hub, they can enter their domain. Once they have entered their domain, the tool will research that company, the product and services and it will establish who the audience is and who the buyer of those products and services are. Once it has done that, it will then do another piece of research to figure out what platforms are most relevant to that buyer. That could be Reddit, Twitter, LinkedIn, it could be a range of different platforms and it will stack rank them in order of importance. Where do those buyers go to consume information? Once it has done that, it will go and find the most notable creators for those platforms. People who speak about topics the buyer is interested in relevant to that company's product or service that have a real audience and real distribution leverage with that buyer. It will show you the audience size they have for the different platforms relevant to that buyer. Claude, can you start by turning this conversation into a functional spec that we can get aligned on and break it into step by step parts that we can then individually build sequentially? We just dropped a step by step guide on how to build a custom marketing agent in perplexity computer. It documents the exact five step process we used. You'll get the functional spec framework, the context files that make your output actually useful for your business, and the prompts. We used to build a working creator research tool. And it's all free. Get it right. Now click the link description
- [05:28]
C
right. Brilliant. So you want me to architect this as a proper functional spec with phased build out. Let me get this straight before I write it up. When you say the tool researches the company, are you imagining it pulls from your own knowledge base or web research in real time and on the creator discovery piece, Are you thinking it surfaces creators algorithmically or is there a manual curation layer involved?
- [05:52]
B
It will use web Research user Web Research tool and it will automatically show creators. There is no manual curation layer. Although the user can delete creators, it does not feel applicable.
- [06:07]
A
Got it.
- [06:08]
C
So fully automated discovery with user override to remove irrelevant ones. That's clean. Let me redirect you here. Since this needs a proper structured functional spec with sequential phases, detailed API requirements and technical architecture decisions. This really belongs in the text interface where I can lay it out with proper sections, phasing and clarity. I can absolutely do this. But you'll want to see it formatted properly rather than me trying to speak through a multi part technical specific. Shall I pivot you over there or did you want me to give you a quick verbal summary of how I'd break the phases down first?
- [06:42]
B
All right, Claude, you can pivot over to text base, please.
- [06:48]
A
His accent is like a bad guy Richie movie. It's pretty incredible.
- [06:52]
B
I have my family. Have you pivoted yet, Claude?
- [06:55]
A
Oh, it's. He's working. What's happening here, Claude?
- [06:59]
B
I think I just have to pivot.
- [07:00]
A
You just type in pivot to text.
- [07:02]
B
Actually wild how little I use voice. You're a big voice user.
- [07:05]
A
I love voice, but. And I love AI. All these AI tools are still really, really buggy. I know. Like the amount of bugs and stuff on the edges. Like we're wondering why there's not mass AI adoption. That's certainly one of the reasons. If you're watching the show, this is why Willow Voice or Whisper Flow, these dedicated AI voice dictation tools are really awesome. They're super cheap. I use Willow Voice all the time and cannot live without it.
- [07:28]
B
I actually am going to start using Whisper, but I might use Willow because you're an investor. So I want.
- [07:34]
A
I'm a big Willow Voice fan. Shout out Alan and team. They're great.
- [07:37]
B
All right, so we're doing this live, I will say when I say live like we. I just came up with the functional spec as I was talking about it.
- [07:45]
A
While it's creating the file, maybe break down like your thought process from that prompting journey because you had a bunch of interesting little tidbits there that I think most people wouldn't have said. Like you told it, you're a cto, you told it to break it out in phases. Maybe give some of your like logic behind how you gave it instructions.
- [08:06]
B
Yeah, I work back to front. I think one of the best things you can do when working with these models is to first go back and forth until you align on something. So whether you're creating a post, whether you want to create a product, positioning, whether you want to do anything, go back and forth and say, can we align on how we do this? And then actually move on to execute that task, A lot of people just jump in and start to do the thing. But actually it's really good if you go back and forth in the line with it. I find that that makes a very big difference. The other thing is, yeah, I give it a role. This is just role based Persona. Some of these are just habits that I have. And I'm not sure with the later models if you have to tell it explicitly to act in a certain way anymore, if they're just good enough to say, well, I need to be a pretty great CTO to put this together. I try to give it some parameters. I don't think I did the best job there, but like trying to use best in class UX principles to have short time to value, to have simplicity within the app and then the functionality again, I think you want to break out, have it align on the step by step sequential way that we're building. We probably might want to just one shot it. I actually think for fun we should one shot it.
- [09:10]
A
Oh, definitely one shot it.
- [09:11]
B
Again, I have an old habit where I will just go in parts because when the models were not that good, I built an entire app this time last year with Claude and Lovable and really it would go awry if you give it too many things to do. But I just think the models are so much better now that we could probably try to one shot this. So it's back with its functional spec.
- [09:30]
A
Sweet.
- [09:31]
B
See what it's done here. You see the new cloud function. I love this. The new cloud functionality where it builds with inline, it doesn't even need the artifact anymore. Started to build imagery in line, all this kind of stuff in line. It's Just so cool.
- [09:42]
A
Yeah. Did you also saw that they just released computer use when we're recording this,
- [09:46]
B
do a show computer use, they have dispatch, which allows you to control it from your phone.
- [09:51]
A
Well, one of the tools we're going to build in is Perplexity Computer. And one of the things I love so much about Perplexity Computer is that it has a mobile app and a desktop app and they sync perfectly and can access everything in the cloud. And it just like works in both environments where so much of AI is still very desktop heavy.
- [10:10]
B
Yeah, exactly. I'm just looking here.
- [10:12]
A
You got a real spec here.
- [10:15]
B
Come on now, Claude automated company research, buyer, we scrape, blah, blah, blah, blah. One to two weeks.
- [10:21]
A
What?
- [10:22]
B
It's gonna take one to two weeks.
- [10:23]
A
Come on, come on.
- [10:25]
B
All right, let's see what have we got here? This is gonna be a pretty wild tool if we managed to build this. So it's got the company intelligence and buyer Persona.
- [10:32]
A
Yeah.
- [10:32]
B
So it's going to build that research into buyersona and going to look at platform relevance. I think it's going to have trouble with LinkedIn perplexity. We might do okay with LinkedIn. I think. I'm curious. Cloud code. One of the ways we will have to do this slightly differently is you're going to need to set up API keys. So that might be a big pain in the ass. So maybe we just make a judgment call here and just do perplex the computer and then rebuild and cloud code. Because we will have to set up API keys and that's going to be a little bit of time because you're going to set up X API.
- [11:01]
A
We we can always export the code from Perplexity Computer and have Claude code refactor it and build it.
- [11:07]
B
So it's going to do a creator discovery, automated creator research and ranking for one platform, EJ LinkedIn. So it's going to search creators, discussing relevant topics, score by relevance, blah, blah, blah, count them, and then show creator discovery extend to all platforms. So it's going to do single platform, then multi platform, then it's going to do a deep dive. Rich creator profiles, I like that. Actually polish and optimize success metrics. Persona accuracy, creator relevance, load time, user mps, tech stack. Okay. We want to build this as an MVP using Perplexity Computer.
- [11:46]
A
I think one of the things that I find so interesting about Kieran's use of AI is that he uses psychological warfare against the AI. You do it all the time. It's a very interesting approach.
- [12:01]
B
I don't know if it's going to care that I need my bonus.
- [12:03]
A
You need the cheddar. You should have been like, my daughter needs this shoe. You should, like, really guilty.
- [12:11]
B
I was going to say I need
- [12:12]
A
a dope watch that wouldn't have cared about that.
- [12:15]
B
Obviously, you need to tell the platform you're building for. That was a bad prompt. I could have just said to start with go research Perplexing Computer and then craft a prompt for that tool. I should have given it that to begin with, but let's see what it comes back with.
- [12:26]
A
What I hope is interesting about this is that what we're trying to do is take you behind the scenes of, like, the steps involved to build something. If you're not like a traditional engineer. Right. And it's not just like, you go in and you write a few sentences and you get the thing you want right. There is still like a real process and a process of iteration that happens to get to an outcome that is good enough for what you kind of had in mind and was in your head.
- [12:50]
B
Yeah, I think this is can you get to mvp? You have a pretty useful tool in a podcast episode. So, like, if we can do this in under 40 minutes. But to really build something that's tailored for your needs does take some amount of time. So one of the things we did here was we asked it to figure out how to make this better. So it suggested how it made the app better. And then you actually ask it to research the app you're going to build it in, which we said is Perplexity Computer. And then it will give you some gotchas around building this in Perplexity Computer and then how we should overcome them. Now we're going to truly vibe build this because we're under time pressure and when they say yes.
- [13:25]
A
But if you were really building this, Kieran, it would take you like a week.
- [13:28]
B
Oh, yeah. We're going to be the honest AI folks and tell you this is a mvp, show you how to get there. Hopefully you'll learn some things. But this is not the X like, I want shot at something. I. And look, it's changed the world. You really do have to, like, work on this stuff and go back and forth. So this is really an mvp.
- [13:44]
A
But to your point, Kieran, I think that's a very valuable step. I was in San Francisco last week, spent time with a bunch of companies, bunch of startups. The clear cultural shift that's happening with most of these companies is that they are just prototyping and MVPing stuff very quickly. So that Everyone has something to look at, to say like, is this actually what we want?
- [14:00]
B
Exactly.
- [14:01]
A
And if so, then we'll go invest the time in building it versus like it used to be. You'd have a memo where you throw around some ideas and like, this is what we're doing. Essentially the first step is like, hey, this is what it would look like and in theory what it would do. And if we like all that, then great, let's go and build it.
- [14:16]
B
Yeah, we are doing the real show, don't tell. So we would be saying, hey, we're a marketeer. We think creators are a great stream of distribution to add into our marketing mix. And to do that we think we need a little custom tool that allows us to manage all of this stuff within a creator hub. And we are going to now get our prompt, I think for Perplexity Computer. Hopefully this time it comes back. I do think the bug we ran into was because it was using the legacy model.
- [14:46]
A
All opus, all the time.
- [14:48]
B
As much opus as you can get. That's my life motto. I did use ChatGPT this morning for the first time because I had something.
- [14:57]
A
How'd that go?
- [14:58]
B
Well, it has something in its memory that I wanted to recap on, but they need to get out of the. It's like it was a really mundane personal thing and it's not important. It's not a TED Talk. It's not going to change the world. It's a very mundane. I had this like issue in my friggin downstairs living room. We talked about electrics. What plug should I get this plug or that plug? And it comes back and it's like, you're definitely right to ask this question. It's not about this plug. It's about a whole different way of thinking about electricity within your house. It's like they TED Talk everything back to me. I'm like, please, please.
- [15:32]
A
Though a lot of people are using Codex to build in code and really like it.
- [15:36]
B
Yeah, I have spent some time with people building codecs. It looks unbelievable and that is on my list. The problem is there's too many tools. Right.
- [15:42]
A
Way too many tools.
- [15:43]
B
Perplexity Computer, Cloud. I'm spending all my time, I'm trying to like really become incredibly proficient in cloud code. But I'm actually probably going to start getting into Perplexing Computer a lot because of all the stuff that you've been doing on that. So let me switch to Complexity Computer. We have our prompt. How many tokens are we going to use here?
- [16:03]
A
Let's see, we Have a big credit pool. Don't worry about it. All right, let's do some token maxing right now. We call this ripping credits. Right now. Just ripping through the credits.
- [16:11]
B
Ripping through their credits. What else would you be doing?
- [16:15]
A
What's interesting though, Kieran, if you hit the arrow over in full screen, it also will show you the usage and credits for this specific task.
- [16:22]
B
No, that's filed.
- [16:23]
A
That shows you what files you're creating in that task. The usage just for that task.
- [16:29]
B
Like that. I like that.
- [16:30]
A
Which is good. And then sharing and then to dos, which I think is pretty awesome. Like, the user experience is good.
- [16:37]
B
They've got some cool UX stuff here, actually.
- [16:39]
A
They've got very cool UX stuff.
- [16:40]
B
I like this fix and deploy. Okay. Yeah.
- [16:44]
A
And so you can kind of see how long it's working. Credits, the files it's creating. It's like from a UX perspective, it is about a hundred times easier to understand than cloud code.
- [16:52]
B
Why don't they just integrate and allow you to host? Do they like hosting for these apps? Can I just put a website live or put an app live?
- [16:59]
A
I think that's coming. But it's not live yet. And if they did that, I would probably never use any other tool.
- [17:03]
B
That's what I'm thinking through is like, are they going to go after that Vibe code? True Vibe code market?
- [17:08]
A
I hope so. I need to talk to the folks at Perplexity Slash. If you're Perplexity and you're watching this, like, come on the show, talk to us about it.
- [17:15]
B
Come on the show.
- [17:16]
A
We'd love to kind of work through some computer stuff and ask some questions around kind of how computers can evolve. I'll show my tab for a second. Not because what I think I'm doing is better, but there's an interesting point. So I've been in Computer here and Kieran, one of the things that I love about Computer is that you have files. If you go to Files, you'll see you have all these files. I have like hundreds of files in here. Right. And what's really cool is I can call and access any of those files really easily. Oh, wow. And so in the prompt that I did, Kieran, you and I are writing a book called Loop and people are going to want to read it and pre order is going to be out soon. So more information on the show soon. But I have all of the draft chapters in Computer and we have a whole chapter on creators.
- [18:01]
B
Ah, you can just refer.
- [18:02]
A
And so I literally just said, go look at the creator's chapter in the loop book.
- [18:06]
B
Have they had collaboration features?
- [18:08]
A
Yes.
- [18:08]
B
Would you ever use Google Drive again?
- [18:11]
A
No, not if it was good at collaboration editing, no.
- [18:13]
B
Yeah.
- [18:14]
A
And by the way, on all of this, you can literally, if you're using the Comet browser, have them turn any of this into like Google Docs. Like it can manage all of your Google stuff for you and we'll actually create new docs work.
- [18:26]
B
Well, I've got a whole new tool
- [18:28]
A
to get access to, so I didn't have to put much in. Karen. And because it had the chapter in context. This is why context is so important. It actually built an entire skill around creators and it's like create a researcher discovery loop creator fit score. So it made a creator fit score based on everything we talked about in the chapter context, contact discovery, partnership, proposal, email composition and send a draft via Gmail. And so now I can just run this skill in Perplexity Computer, not even need a web app. Right. But then I said, why don't you go and turn this skill into a web app? And that's what it's currently working on.
- [19:03]
B
Should build an app that allows people to input a Kindle book and extrapolates it into skills based on that book.
- [19:11]
A
No. So free startup idea for anybody who wants to start a startup and I would potentially do some funding for this is do the Kindle Marketplace, but for allowing books to be accessed by AI. Because Kieran, you don't get PDFs of those Kindle files. Like you actually can't do what you said.
- [19:31]
B
I wonder if you can do through an API. Yeah, you're right, Kuzar. Why would an individual get an API for their Kindle books? That's interesting for a lot of things actually. How can you give agents access to like courses would be another one.
- [19:44]
A
Hold on. I have a but real idea. You ready for this? And we could maybe even do a show on this or maybe you and I could play with on the background. What if we figure out a way to do this with all the books that are out of copyright? So I just blew his mind.
- [19:59]
B
So there is. I actually used to spend all my time on that marketplace as a marketplace of things that have just gone out of copyright. What's it, 80 years or something?
- [20:06]
A
Because like big 80 or 100 years, I forget. It's a long time.
- [20:09]
B
So what if you took that on copyrighted and like had AI rewrite and refresh, like update them.
- [20:15]
A
But imagine just having a marketplace for those books that are out of copyright. Kieran. And just charging A dollar?
- [20:23]
B
Yeah.
- [20:23]
A
For easy access per book into your AI tool of choice where, like you do all the data management and parsing and everything. So it's like really good. And you break it down to accommodate the token limits and everything like that. But I guess what I'm saying is one of the things I've learned from writing this book, Kieran, and whether this makes a show, I don't know. One of the things I've learned from writing the book is like, wow, if you spend a bunch of time really thinking through stuff really deeply and then you have unbridled access to it in your AI tools, the extension is incredible. One of the things I love about computer Kieran is that you can literally just shut your laptop right now and it'll just keep building. You don't need to have your computer open. And then you download the mobile app and you can just check on it and in your mobile app anytime you want and all the tasks sync across.
- [21:09]
B
It's pretty awesome. I think I'm going to start using this for when we get this connected into HubSpot.
- [21:15]
A
HubSpot project management, Slack. Oh, the snowflake MCP. Game over.
- [21:21]
B
You can just make it into your hub.
- [21:23]
A
That's what I'm planning to do. The people Perplexity are going to love us because we're probably going to be the best case study in the world.
- [21:28]
B
Yeah, yeah. Using all the tokens on top of it.
- [21:31]
A
Yeah. We're going to be paying them an absurd amount of money, literally token maxing it to the degree.
- [21:37]
B
Okay, look at this. It's deploying it. We might actually get this done, which is pretty amazing. Let me clean up the player. It's got a playwright session. Why is it going to play? Oh, it's doing a.
- [21:46]
A
What is scrape.
- [21:47]
B
Okay, here.
- [21:48]
A
Creator Hub is live, baby.
- [21:50]
B
Okay, let's see. I mean, if it's done even a half decent job of this, it's pretty insane.
- [21:55]
A
All right, let's open it up and check it out.
- [21:56]
B
Okay.
- [21:57]
A
Oh, there you go. All right.
- [21:57]
B
Used a weird font, but I want. Club.com is probably one of the hardest ones. So let's see what it.
- [22:02]
A
Yeah, let's see what it does for. Com. I'm sorry, this is sick.
- [22:04]
B
By the way, what's it added in here? Actually, import export. Oh, it allows you to import Export your JSON.
- [22:09]
A
Of course it does. Because who doesn't want to export a little JSON in the morning, you know?
- [22:14]
B
Okay, here we go.
- [22:15]
A
All right. Buyer profile.
- [22:17]
B
I mean, it's doing a pretty good Job for, like, Exit 5.
- [22:23]
A
Yeah.
- [22:24]
B
Shout out, David.
- [22:24]
A
Yeah.
- [22:25]
B
Martech Brew.
- [22:26]
A
This is all very good. They listen to the pod, baby.
- [22:28]
B
Let's go. It cut me out of the podcast.
- [22:33]
A
Oh, man. Computer don't do Kieran like that.
- [22:38]
B
I mean, come on.
- [22:40]
A
LinkedIn. I would actually just assume I am first in alphabetical order. So that's why I'm gonna go and
- [22:46]
B
check my access to my company tools. Maybe I've been let go live on show. All right, your top platforms. I mean, if this is good, it's pretty insane. This was done on a whim. As we just got on to start figuring out what we were going to
- [22:59]
A
do with this episode, we were literally slacking last night. Be like, oh, let's just build, like a creator hub on the pod and let's try to do it live. And by the way, we would actually be a lot Farther. We had 30 minutes of boondoggle problems with Claude and everything else.
- [23:13]
B
Yeah, we've done this in way shorter amount of time. We've really had 30 minutes, given the problems. Oh, look at this.
- [23:18]
A
All right, let's do it. Oh, LinkedIn is the top. Yep. Newsletters. Okay.
- [23:23]
B
Click your platform of choice. Look at this. The Fed score.
- [23:27]
A
All right, pick one of them and let's see what it does.
- [23:29]
B
So it's recommended LinkedIn. So I'm going to just go.
- [23:32]
A
Yeah, let's go. Let's see. LinkedIn's the hardest.
- [23:34]
B
Yeah.
- [23:34]
A
So let's see.
- [23:35]
B
I think it's going to struggle with LinkedIn, but let's see. Because now look, if this is MVP, what would we do in a quick iteration? We would give it access to APIs.
- [23:43]
A
Yes.
- [23:44]
B
The X connector. These different connectors that allow it to pull from different platforms. But I kind of feel like this is pretty good. I could probably do a couple of revs and sell this.
- [24:00]
A
And you made it in 30 minutes in perplexity.
- [24:03]
B
30 minutes where you and I were messing about with figuring out if we should actually update Winnie, we literally also
- [24:08]
A
took a side journey of, yeah, you know what? Let's just create modern versions of Winnie the Pooh created by AI, which I
- [24:15]
B
still think is actually a really good idea.
- [24:17]
A
One we. We should do that. And just for fun, because, I mean, maybe I'll do that today.
- [24:21]
B
Oh, here we go, actually.
- [24:22]
A
Oh, let's go. Oh, found some peeps. Hold on. Is Kieran Flanagan on this?
- [24:26]
B
I know it doesn't allow me to search. Ashley, why am I not on this? Come on, I'm a baller here on LinkedIn.
- [24:31]
A
Just scroll all the way. Like make sure you're not.
- [24:33]
B
I'm not on it. These people have tiny audiences. Pray to me.
- [24:36]
A
Perplexity is discriminating against you.
- [24:39]
B
As in the come on, I have more followers than literally every single one.
- [24:43]
A
Pick one. And we got to finish the demo.
- [24:44]
B
All right, let's do it. Finalize my shortlist fit Sponsored Good recent content. Let me just draft the outreach.
- [24:54]
A
I mean am I getting you to switch from cloud code to computer? All right, let's look at the outreach. Let's see if it's good.
- [25:00]
B
Your MPL post and HubSpot your post MQL based lead scoring hit hard especially the problem. That's exactly the conversation our audience of Rev Ops managers, VPs sales, we're both reaching the same people. I love to cobra juice with a 50 minute blah blah blah. Done.
- [25:15]
A
I mean not bad for a literal
- [25:18]
B
prototype for a prototype for an mvp.
- [25:21]
A
And you would use this prototype to send a few of these emails.
- [25:24]
B
Yeah.
- [25:24]
A
And by the way like you can copy to Clipboard but like it's easy enough to do the Gmail integration with this.
- [25:31]
B
Look at this. I reach drafted. It's keeping the status. I would actually have a little search bar here so I can search through and I could query who's on the list. But yeah again I think the reason it's picked all these is because of our profile. It's pretty cool. Like I can remove some of these folks.
- [25:47]
A
This is pretty dope.
- [25:48]
B
All right. So yeah that's our first iteration of
- [25:51]
A
our and by the way it built me a totally different version.
- [25:53]
B
Let's see.
- [25:54]
A
Okay, I can show it to you. See it made this much more of a web app.
- [25:57]
B
I like that actually. That's actually pretty cool that you have a campaign you want to run and then find.
- [26:01]
A
Yep. And then you can do creator research and so basically it'll go research everything and then you can add creator. I'm going to test this live. We're going to with a campaign we're about to run after this.
- [26:10]
B
Oh I love this actually.
- [26:12]
A
And then creator scoring which you had contact discovery. One of the things I found Kieran is perplex is pretty good at finding contact information.
- [26:19]
B
That's really good.
- [26:20]
A
And then I have it drafting a actual full partnership proposal and then we'll
- [26:25]
B
draft the email I like starting from campaign. I think that's better.
- [26:28]
A
I do think that's better.
- [26:29]
B
I actually think overarching that app is much better actually the way it has the nav but. But I think if you smush them together you have a great app and then when we connect it into HubSpot, it could auto pull in campaigns.
- [26:41]
A
Yeah, it could auto pull in campaigns. If we have any of the creators in our database could pull those in. What I think is interesting, Kieran, is why I think they were so different is because of the context. I had that whole creator chapter use that to build the skill. And we basically put our blood, sweat and tears into 20 pages about what we think you need to do with creators. And it took all of that and basically made it into an app.
- [27:04]
B
Very cool.
- [27:04]
A
Which is pretty awesome. So we covered a lot on the show today. We talked to you about building with Perplexity computers. We talked about some prompting, Claude. Some of that failed. We actually walked you through a few prototypes of creator outreach and creators and partner with creators are really important components of any campaign. And we're going to iterate on these and maybe on a future show we will give one of these creator apps away for everybody to use. If you would like that, hit that comment and like button and let us know that you want to see more of the creator stuff. And we'll be back real soon. On marketing, it's green.