﻿WEBVTT

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<v 0>Now, I know what you're thinking.</v>

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What the hell is some 19-year-old going to tell me about how to implement AI in

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their business? Well, don't worry. I'm actually 24.

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So in all seriousness, I'm Jacob.

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I'm the founding field engineer hire Replit.

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I've worked with enterprises, individuals,

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I've worked across the whole stack. I've worked with over 200 clients,

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and I've helped them implement AI in their businesses.

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Because of all this experience,

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what I've seen is I've seen this elephant from every angle.

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I'm one of the top users of Replit and Replit. And because of this,

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I get a lot of the same kind of questions from people.

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And what I get most often is about who is AI going to

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disrupt the most. Now, we've all thought about this.

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Some of us think it's software developers. Others think it's designers.

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Maybe SDRs are being brought up,

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but I actually don't think it's any of those.
I actually think it's venture

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capital. And the reason for that is

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in the past three years,

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the cost for taking a business idea from zero to one has dropped by around a

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thousand fold.

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And the reason for that is because people are building their ideas using AI

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without any developer help, and they're monetizing them using

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a Stripe integration within their applications.

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And what this means is they don't need to go for venture capital as early.

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They can get from zero to one without a seed round.

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So this is a super exciting time to be starting a business in AI.

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And what we're going to do today is we're going to talk a little bit about how

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you can generate this ROI really quickly using Replit and Stripe.

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So why don't we hop into it? OK.

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Here I am on Replit. You can see I got a reminder for this session here.

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So all you have to do is, on Replit, you can generate code,

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you can generate applications,

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you can generate software purely through natural language.

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So what I'm going to do is I'm going to say,

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"Please make me an eShop

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for selling pet rocks.

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Please use Stripe." OK, cool.

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And now, as we see here, Replit Agent will start working. Now,

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what it does is it's going to take your prompt and turn it into code. Now,

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when you develop software traditionally,

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you have to set up your entire development environment.

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You have to configure everything yourself. You have to know a few things.

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It's good to have a computer science background.

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On Replit and other vibe coding platforms,

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what we do is we spin up the development environment for you.
We call it a

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"batteries included" development environment. Here,

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what you'll see is our agent will start calling tools,

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reading docs.

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It has the ability to search the web to research information about the Stripe

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integration.

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And what it's going to do is it's going to prompt me to put in my Stripe

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API key and I can get started. Now this is super simple.

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It's going to come up with a small prompt here that says,

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"Enter your API key." It's going to link me to the Stripe documentation.

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I just have to grab that API key and then I get to enter it into Replit,

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and then I'm pretty much done. I see people building full applications,

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pretty highly detailed, in about a day. So most of these happen in an afternoon.

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It's super exciting to be part of this and seeing this part of Replit.

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So let's go into Replit a little bit more here.
You can see here it's calling

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the tools. This is the agent chat on the left. I can send initial prompts.

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Sometimes prompts are one sentence and sometimes they're an entire PRD document.

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Replit can handle both and I can send follow-up prompts here.

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If we actually pop, press this button here, I can look at the file tree.

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And this is all the code that the agent is generating off here.

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So you don't have to think about that at all. In fact,

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90% of the Replit users don't even pop this file tree ever.

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You can purely talk to AI.

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To be batteries included, you need a few other things with you.

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You need a database. Agent can provision a database,

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can connect your database, and then you can do things like store payments,

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store users, et cetera. Cool.

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The other thing you need is a secrets manager to securely carry your secrets.

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We have this here, and this will manage all of our secrets.

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You'll see agent is talking about launching a subagent to do the work in

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parallel. Replit has the ability to do work in parallel.

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So what it's going to do now is it's going to launch a subagent

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to build out the front-end UI while the main agent works on the back end.

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OK? Cool.

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And then the last thing that you need to be batteries included is the

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ability to publish your application to the outside world.

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So you've built an ecommerce website.

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You need to deploy it.
And traditionally, that was very hard.

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But on these vibe coding platforms,

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what you can do is you can click "Publish" and then share the app to the world.

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So you've gone from zero to one in Replit.

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I've actually heard stories of people raising $5 million rounds purely based off

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of vibe coded applications now. It's a very exciting time. Cool.

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So while this works here,

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it's going to wire up the Stripe API.

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All you have to do is you can hop into Stripe, get a developer account,

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set up a business, and then you'll get these API keys. Now,

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my advice for when you're working with Stripe is don't show your secret key to

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around 200 people. So we'll wait for that to finish,

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and all we'll need to do is paste this value in.

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It literally is a two-minute process. Cool. Well, while it's cooking,

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let's move on to one that I premade here.

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So here's a premade app in Replit. This is again,

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the Petrock application.

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You can see I have these various pet rocks.

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This took me around an hour to make. Cool. Now,

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if I pop this out into a new window here,

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what I can do is I can see,

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I can click "Add to manifest," and then go to my cart.

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And I have these items in my cart and I can proceed to the purchase,

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which will take me directly to Stripe.

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I did nothing more than paste in my Stripe key and automatically I have a

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functioning business now. I can make my first $394.

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Cool. There are a few other things that you'd want to do with AI, right?

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Perhaps you're starting out your business.

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Perhaps you're building something internally to your company.

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If I click this drop-down,

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you can see that it's also created some slides for a pitch deck to VCs.

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This is one prompt,

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and it will use the context from the actual application to build your slide

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deck. So you can not only have a working payments platform, have revenue,

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but you can also do your pitches.

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Our CEO talks about having this all in one platform

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where individuals can build their entire business. And with Stripe and Replit,

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you can do that. OK.

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You'll notice that this design is quite nice and that's because I have great

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taste, but it's also because I can do rapid ideation on design in Canvas.

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What I can do is I can select here, I can say,

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"Show me a few more variants

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of this design."

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And what it will do is it'll spin up a few more rapid prototypes on this Canvas.

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You'll see that this design actually matches this one here.

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And that's because what I can do is I can select one of these little previews

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and then I can click "Build," and then it will build it into my application. OK.

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Cool. So here we can see the Stripe API key.

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All I have to do to input this into my application is click to copy the secret

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key, paste it in here,

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and click "Continue." It looks like it prompted me twice.

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And now when you paste it in here,

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the AI has no way to view that secret key, so it's completely secure.

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Cool. OK.

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So we have a few variants going on the Canvas here.

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The other thing I can do is I can click plus.

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So what's just starting to happen is

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people are starting to orchestrate multiple agents at the same time.

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What you can do is you should be thinking about how can I orchestrate?

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How can I think one layer above just a single agent? If I click this plus,

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what this lets me do is spin up a second agent. So I can say,

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"Please add an 'about me,' 'about us'

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section to the

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site." And now I have two agents working in parallel.

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You can see this one's working while that one's working.

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The way that's possible is what we do is we fork the code, we work on the code,

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and then we merge it back in all automatically,

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so you don't have to worry about that.
OK.

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You can actually have up to 64 agents running in parallel.

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So you should really be thinking large scale agent orchestration now. OK,

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cool. I've shown you how to build something very basic in Replit,

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but the next question that should be on your mind is,

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how do I build something great?

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So if we hop back into our presentation here, we'll walk you through that.

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How do you make great things using AI?

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Maybe someone has demoed something for you using AI and you thought, "Man,

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this is not cool. I don't

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care." The ability to create things is really easy using AI,

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but the ability to create bad things is also really easy and everyone is

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creating bad things. So you have to create some good things.

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So I think I have a three-step framework for this that I usually tell people I

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work with. The first step is to be audacious.

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I go to all these hackathons with all these different people and they always

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build a dashboard. Dashboards are so 2025.

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Don't build dashboards, build something cooler. AI is extremely powerful.

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It's extremely competent. So ask it for more difficult things, right?

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Ask for a mobile app.

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Ask for a desktop app.
Ask for something that lets me train AI within the

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application. Ask for something that can connect to Twilio

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and can do real time streaming of audio.

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Don't limit yourself to just making a simple web UI.

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Cool. And then I'd say also you should be resilient.

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I see a lot of people that don't believe in AI.

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And I think the reason for that is because

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they put in one prompt and it doesn't work out for them,

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and they never try again. And then they say, "AI is bad." And for them,

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it's a bit of a self-fulfilling prophecy. If you don't try again, yeah,

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AI is bad. But when AI is wrong, you must prompt again.

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You must constantly think about how you can change your approach.

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It's super easy to learn using AI.

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You may have noticed that we actually have a plan mode. Most AI tools do.

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What this lets you do is ask any question about the code base.

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You can ask how code works. You can tell it to teach you things.

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You should always be learning as much as possible.
And therefore,

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when it gets something wrong, you know how to fix it.

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So don't give up on the first sign of resistance.

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And I see people doing that a lot. I urge you not to. Cool.

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And then lastly, be a visionary. So it was Edison that said,

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"Genius is 1% inspiration and 99% perspiration."

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Well, AI can do 98% of that, so get inspired.

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I see, you should be thinking about,

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what's the ideal end state for my application?

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Because getting to the end state is almost free.

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So what is the perfect ideal state for my app?

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I see a few different types of personas that vibe code.

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The first person I see is they get access to like an AI coding tool,

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and they realize they can make anything so they do make everything.

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And whatever software they build, it has every single feature.

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They basically build ERP, right? Submodules,

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but there's no vision behind it.

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So I urge you to be a visionary about what you're building and not just build

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every single feature. The other persona I see is more of the designer.

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They'll focus in on one part of their application and make sure it's exactly

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perfect, pixel perfect. But they're not seeing the forest of the trees.

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They need to see the broad picture work on the important things.
The persona

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that I see succeeding the most with AI is the product manager and

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like the CEO founder.

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The people who can get all of this information about the world and they're very

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in touch,

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but they can condense it into a really good vision

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for a great product.

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So the other things people ask me: how do I write secure code using AI?

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So let's talk about security. Security's a little bit interesting.

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AI is extremely good at writing very insecure code very quickly,

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and I can write a lot of it.

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But the great thing about AI is it also has the ability to remediate a lot of

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insecure code, and it can do it better than a lot of humans can already.

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So the way I see it is, there's multiple ways to implement security,

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and it's always a trade-off between engineering effort and how secure you

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want to be. There's always multiple approaches. With AI,

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you can always choose the most secure approach, right?

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Because now the cost of the engineering effort has gone down to zero.

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This is something that we actually do in Replit.

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We call it the "pits of success." So when a user

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doesn't define what security approach to implement for whatever feature they're

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implementing,

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what we'll automatically do is we'll choose the most secure implementation,

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right? Whatever it may be. And we'll spend a few extra tokens to get there.

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Therefore,

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we guide the user into a pit of success where they're secure and they can fall

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into this pit of security. Generally, when you're prompting,

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if you're about to go live, there's nothing wrong with prompting.

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Please do an audit for how secure this application is.

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Do something very in depth.

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You can go through and reaudit everything every time you make a change because

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it's almost free to do so.

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You should have this abundance mindset when it comes to security.

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I see people prompting,

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"Make me an architecture diagram for security." I also see people prompting

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stuff like, "Do a pen test of my application.

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Write some code that can actually interact and potentially penetrate my app to

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prove that it's actually secure." So think in terms of abundance.

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And then the question is,

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how do you write scalable code using AI? This is the next thing people ask me.

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On Replit platform, the most I've seen,

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the most requests per minute I've seen is around 50,000.

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So that's 50,000 requests per minute hammering one app at once.

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And it was handling it just fine.

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Usually scalability comes a lot later than you think it does. But again,

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you should take the same approach to security. Do a scalability audit.

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How scalable is my software?

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You don't have to worry about these things when you can simply ask the agent to,

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"Provide me a scalability report," or "What will break

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under load for this application?"

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So ask the AI, don't be afraid, be resilient,

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and don't be afraid of anything going wrong during your applications because you

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can always continue prompting. Cool.

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And let me finish you guys off with a story about a successful business owner

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using Stripe and Replit. I was on a call with a client,

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Eman. He has no technical background.

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He has a background in finance. And

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I was on a call debugging his app with him, and

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he was telling me a bit about his business.

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And what he did was he saw all these AI transcription,

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translation services coming online and he built his business, whisperai.com.

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He built it completely on Replit, purely prompting through agent.

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And he slowly grown this business by himself and now he generates over a

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million dollars of revenue a year. His sole job is vibe coding.

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And he was only able to do that

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using vibe coding and using Stripe.

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So I think it's a really exciting time,

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that you can make a big difference in the world today.

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So there are two things you guys should do.

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That is, come up with an idea and get it off the ground using Replit.

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Second of all,

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ask the agent to integrate Stripe into your apps and see your first dollar.

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Happenstance,

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Replit is free this weekend.

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So please start prompting. Please start asking your agent to implement Stripe.

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Thanks for having me guys.

