WEBVTT

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You have probably seen the videos online. BeatBeat,

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an AI tool, builds a flawless, full -stack software

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platform. Yeah, in like 10 seconds on your social

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feed. Right. It looks absolutely incredible.

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I mean, it looks like magic. But when you actually

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sit down at your own keyboard, beat. When you

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try to build something real. Oh, it is a completely

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different story. It is usually a very harsh reality

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check. Two secs silence. Welcome to the deep

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dive. We are really glad you are here with us

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today. Yeah. Thanks for joining us. You know,

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the landscape of AI tools exploded in 2026. Dozens

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of new agentic builders launched this year alone.

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So many. But we want to look past the marketing

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hype. We are putting three of the most talked

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about AI builders to a direct test. Right. Side

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by side. Exactly. We are looking closely at NN,

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Claude Code, and Base 44. Yeah, we really wanted

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to see what happens when the rubber meets the

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road. So we gave all three tools the exact same

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core assignment. We asked them to build an AI

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-powered task manager. Nothing overly bloated.

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Right, nothing crazy, but it needed specific

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functionality. It needed to be a place where

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users can add tasks. They needed to mark those

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tasks as done. And crucially, they needed an

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AI -generated priority ranking feature built

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in. So today, we find out... what they actually

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build for you. We track exactly how long the

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process takes. And we figure out which platform

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actually fits your specific skill level. I mean,

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we want to see the real friction. The kind you

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will actually experience. Yeah. So before we

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try to build a full house, let's look at the

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plumbing. Right, the back end. Exactly. How do

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you handle the back end data securely? That is

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where our first tool comes into the picture.

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We looked at innate end. Now, we gave NAN a slightly

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scoped version of our core assignment. Right.

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And we had to adjust that intentionally because

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NAN is fundamentally an open source workflow

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automation tool. It is brilliant, but asking

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it to build a graphical user -facing app just

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isn't fair. It is outside what the platform is

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designed to do. Exactly. So we asked it to build

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the core logic instead. We prompted it to create

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a workflow for our task lists. A user inputs

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a raw list of daily to -dos. The AI analyzes

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and prioritizes that list. Then, the sorted data

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comes back to the user. So, we're looking at

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raw data movement here. You know, Dan and Ken

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is very famous for using a node -based builder.

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Right. That means a visual interface where you

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connect process steps together like map points.

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Yeah, that is a great way to put it. It's like

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stacking Lego blocks of data. You connect one

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service to another service on a digital campus.

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Exactly. The visual aspect makes complex data

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flows much easier to understand. You literally

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map out the journey of your data. Like a webhook

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node receives the data over here. It passes it

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along to an AI node over there. The AI processes

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it. And then the output flows seamlessly into

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your database or a spreadsheet. You see the whole

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pipeline at a glance. But getting those specific

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blocks to click together smoothly takes real

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effort. Beat. I still wrestle with connecting

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APIs myself. Oh, totally. We all do. It can be

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incredibly frustrating. You miss one little authorization

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header, and everything just breaks down completely.

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The whole pipeline just stops. Exactly. So what

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exactly did Ang8 deliver in our test? Well, it

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took about 10 minutes to complete the workflow,

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and it did succeed. OK, good. It successfully

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pushed the prioritized tasks directly into Google

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Sheets. The AI agent looked at the messy list

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and sorted it logically. But it wasn't perfectly

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smooth. No, the building process was definitely

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not completely smooth for us. The AI's first

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attempt actually missed a basic input form entirely.

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Right. It built the sorting logic but gave us

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no way to actually feed the tasks into it. Yeah,

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exactly. We had to use another prompt to fix

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that oversight. And there were several runtime

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errors we had to solve along the way. Yeah, the

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data formatting was our biggest hurdle there.

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The JSON payload load from the AI node was not

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perfectly aligned with the spreadsheet node.

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Right, I remember that. We spent a good portion

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of those 10 minutes just troubleshooting the

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data structures. NAN is incredibly powerful at

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automating complex back -end processes, but you

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really have to guide it through the exact step

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-by -step logic. It assumes you understand data

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schemas. It really does. So the final result

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was a working back -end workflow system. Yeah.

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But it was absolutely not a finished application.

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No, not at all. There was no front -end interface

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for a user to interact with. There was no user

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login or password system provided. Right. It

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is not something a non -technical user could

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easily publish or monetize. Beat. Right. Let's

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talk about the cost of using this platform. Sure.

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So the pricing model is based mainly on your

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monthly workflow executions. OK. The starter

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plan is 20 euros a month. That gives you 2 ,500

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workload executions and unlimited users. It scales

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all the way up to their business plan. That sits

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at 667 euros a month. Wow. Yeah, that tier includes

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40 ,000 executions and specific self -hosting

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options. Well, let me push back on this a bit.

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Sure. If it didn't build an actual app, why use

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it? Why spend the time troubleshooting JSON formatting?

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Because it gives technical teams absolute control

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over backend pipelines. OK. You know exactly

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where every single piece of data is going. There

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are no black boxes. If you already have existing

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services like a CRM, a database, and an email

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sender, you just connect them together. Right.

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You are essentially building the nervous system

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of your business operations, you do not need

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it to look pretty on the outside. You just need

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it to route information flawlessly. Precisely.

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It handles the invisible heavy lifting securely

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behind the scenes. So it automates the backend

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data, not the actual user interface. Vixirate.

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Two -sec silence. Well, if Anand only handles

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the backend pipelines, what happens next? What

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if you actually want the walls, the roof, and

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the paint? What if you want an AI to write the

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entire code base for a real full stack app? Then

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we step into the world of Claude code. Okay.

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This is Anthropic's major entry into the developer

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space. Claude code is an agentic coding tool.

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Let's define that. Yeah, that means an AI that

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writes, runs, and fixes code entirely on its

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own. Let's unpack that process. You don't have

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to hold its hand through every single line of

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code. No, you don't. You accessed it through

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a terminal interface. Yeah. You give it a plain

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English prompt, and it starts working autonomously.

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Whoa. Imagine an AI checking its own errors without

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human input. It is wild. It really is. It reads

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your prompt. It plans the architectural build.

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It starts writing the actual files into your

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directory. Then it runs a test. If it sees a

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bug in the terminal stack trace, it catches it

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and corrects the code immediately. It loops through

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this process. Exactly. That is a massive paradigm

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shift for software development. Well, we gave

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Cloud Code a A single detailed prompt for our

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test. We asked for a minimal task manager web

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app. Right. We specified that we wanted user

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authentication and our AI prioritization feature

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included. And it took about 15 minutes to finish

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the entire build. Which is fast. Very fast. It

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returned a working app that it independently

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named Taskflow, and the front -end results were

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genuinely impressive to look at. They really

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were. It built a sleek, dark -themed dashboard

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with a very clean sidebar menu. It included a

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solid task input field with a functional date

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picker. It even added a priority drop -down menu

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and custom tag support. It built filter tabs

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so users could toggle between active, done, and

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critical tasks. And it successfully integrated

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working user authentication into the app. But

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again, the experience was not entirely without

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friction. Building the code is one thing. Making

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the external services talk to each other is another.

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Right, the API setup. Yeah, the AI prioritization

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feature required manual configuration from us.

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Claude wrote the function, but we had to source

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an external API key for the AI model ourselves.

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We had to plug that key into the local environment

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variables manually. The tool could not safely

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secure or provision that API key on its own.

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No, it couldn't. And then we hit a significant

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issue with actually sharing the project. Oh,

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the GitHub issue? Right. It attempted to push

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the final code base to GitHub automatically for

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us, but it was blocked by missing write permissions

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on our account. Right. And this is a crucial

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security mechanism. Repositories have strict

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OAuth scopes. Security protocols actively stopped

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the AI from altering the repository directly.

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It did not have the required authentication token

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to push the code live. So it gracefully failed

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that step. Exactly. The app was fully built locally

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on our machine. It worked beautifully on local

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hosts. It was not shareable. No, it was not hosted

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on the live internet. We would have to configure

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those deployment settings and SSH keys manually

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ourselves. The pricing for Claude Code is fairly

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straightforward right now. It is $20 a month

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for the pro plan. Right. That seems to be the

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practical starting point for most active developers

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utilizing these agentic workflows. But I have

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to ask, this sounds amazing. But isn't it still

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just for seasoned developers? Honestly, yes.

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It really does require existing code base and

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API management skills. You need to know how environment

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variables actually work in a local directory.

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You need to understand how to read and fix GitHub

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permission errors when they pop up. Claude code

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builds the application code itself, but you still

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have to manage the surrounding infrastructure.

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Great for developers, but brings its own technical

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setup hurdles. Precisely. You have to be deeply

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comfortable navigating a terminal environment.

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Two sec silence. So we've seen backend automation

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with NAAN. We've seen local code generation with

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Claude code. Both of those paths require a distinct

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level of technical comfort. You have to understand

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data structures or terminal commands. Definitely.

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But what if you just want to skip the infrastructure

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entirely? What if you just want to ship a live

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product right now? That is where our third tool,

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Base 44, enters the conversation today. OK. Base

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44 is designed specifically for non -technical

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builders and founders. It creates full stack

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web applications entirely from plain English

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descriptions. And crucially, it handles everything

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inside one single unified platform. You know,

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there is some really interesting business context

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behind this specific tool. Base 44 was actually

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acquired by Wix back in June of 2025. Right.

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They bought the platform for approximately $80

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million. million dollars. Which is a huge deal.

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It is, but it still operates under its own name

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and domain today. It has not been heavily rebranded

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into the main Wix ecosystem. Yeah, that is interesting.

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Well, we gave Base 44 the exact same task manager

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assignment. We asked for the user interface,

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the filter tabs, and the AI sorting button, and

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the results were incredibly fast compared to

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the other platforms. Very fast. It took just

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under five minutes from a single prompt to a

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finished product. It built a live, complete web

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app that it named Zenith Tasks. And the experience

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was remarkably frictionless from start to finish.

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Completely. Let's talk about the setup. It handled

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the user authentication automatically at the

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platform level. Great. We did not even need to

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prompt it to build a login screen. It just knew

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an app needs secure logins. And because it operates

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in a closed ecosystem, the built -in AI connected

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perfectly without any external setup. Which is

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huge. Yeah. There was no need for us to hunt

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down an external open AI key. There were no complex

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environment variables to configure locally. There

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were no GitHub permission issues blocking the

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deployment process. The hosting was handled entirely

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inside the base 44 platform itself. It leverages

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that massive under underlying hosting infrastructure.

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Exactly. The resulting interface was polished.

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It had clear, active, and done tabs for organizing

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the tasks. It featured satisfying visual strikethroughs

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for all your completed items. And it placed a

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very prominent AI prioritize button. Right in

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corner. Yeah, that button was great. You just

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click the button, the app thinks for a second,

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and the list sorts itself immediately based on

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urgency. And the app was live immediately. It

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was previewable and ready to publish instantly.

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You just copy and share the URL and people can

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start using your software. The pricing model

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makes it very accessible for rapid prototyping

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and testing ideas. It is completely free to start

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building on the platform. If you want more features,

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the starter plan is $16 .90 a month billed annually.

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Sounds incredibly smooth. But let's look at the

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reality here. If it's this fast and it handles

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all the hosting, what are you sacrificing? Well,

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you are definitely making a fundamental trade

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-off here. You trade underlying code ownership

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and custom architecture for pure speed. Okay.

00:12:53.600 --> 00:12:56.000
You are locked into their specific ecosystem.

00:12:56.379 --> 00:12:58.980
You cannot easily export the React code base

00:12:58.980 --> 00:13:01.860
and host it elsewhere like Vercell or AWS. Right.

00:13:02.039 --> 00:13:04.379
You are tied to their proprietary infrastructure

00:13:04.379 --> 00:13:07.120
and their database decisions. Fastest to launch,

00:13:07.360 --> 00:13:09.980
but you do not own the underlying code. Exactly.

00:13:10.159 --> 00:13:12.419
You are essentially renting the infrastructure

00:13:12.419 --> 00:13:15.889
to get your idea live instantly. Let's pause

00:13:15.889 --> 00:13:19.450
right here. Insert provided mid -roll sponsor

00:13:19.450 --> 00:13:22.190
read here. Do not pull any promotional material

00:13:22.190 --> 00:13:25.110
from the newsletter text. And we are back. All

00:13:25.110 --> 00:13:27.049
right. Let's synthesize everything we have covered

00:13:27.049 --> 00:13:29.830
in this deep dive today. The landscape of AI

00:13:29.830 --> 00:13:32.889
tools is evolving incredibly fast. It really

00:13:32.889 --> 00:13:35.889
is. But testing these three specific platforms

00:13:35.889 --> 00:13:39.720
in 2026. is very revealing. Choosing an AI agent

00:13:39.720 --> 00:13:42.740
tool isn't just about which AI model is technically

00:13:42.740 --> 00:13:44.799
the smartest anymore. No, it really isn't. The

00:13:44.799 --> 00:13:46.840
raw intelligence of the major models is somewhat

00:13:46.840 --> 00:13:50.139
commoditized now. They can all write decent code.

00:13:50.460 --> 00:13:53.220
The real choice you have to make is about your

00:13:53.220 --> 00:13:56.559
appetite for infrastructure. It is about how

00:13:56.559 --> 00:13:59.059
much technical setup and maintenance you are

00:13:59.059 --> 00:14:01.580
actually willing to handle. You have to match

00:14:01.580 --> 00:14:04.639
the tool to your own operational capabilities.

00:14:05.120 --> 00:14:07.299
Let's break down the core takeaways for you based

00:14:07.299 --> 00:14:10.419
on this experiment. Sure. If you need to connect

00:14:10.419 --> 00:14:13.659
existing tools together efficiently, you should

00:14:13.659 --> 00:14:17.419
use NAN. It gives you ultimate granular control

00:14:17.659 --> 00:14:20.580
over your backend data flows. It is the absolute

00:14:20.580 --> 00:14:24.259
clear winner for automating repetitive, invisible

00:14:24.259 --> 00:14:26.879
backend processes. Right. You just have to be

00:14:26.879 --> 00:14:29.019
comfortable working with visual logic nodes and

00:14:29.019 --> 00:14:31.340
troubleshooting data payloads. And if you want

00:14:31.340 --> 00:14:33.759
full ownership of a custom code base, use Cloud

00:14:33.759 --> 00:14:36.919
Code. Yes. It gives you a real exportable, full

00:14:36.919 --> 00:14:39.340
stack application environment that you... completely

00:14:39.340 --> 00:14:41.200
control. But you just have to accept some setup

00:14:41.200 --> 00:14:42.940
friction along the way. You have to manage your

00:14:42.940 --> 00:14:46.000
own API keys. You have to manage your repository

00:14:46.000 --> 00:14:48.639
permissions. But at the end of the day, you own

00:14:48.639 --> 00:14:51.559
every single line of that final generated code.

00:14:51.820 --> 00:14:53.980
And finally, if you just want to turn an idea

00:14:53.980 --> 00:14:57.779
into a live URL immediately, use Base 44. Yeah.

00:14:57.980 --> 00:15:01.360
It is perfectly designed for founders who want

00:15:01.360 --> 00:15:04.019
to move incredibly fast. You skip all the complex

00:15:04.019 --> 00:15:06.059
infrastructure decisions, you deploy a working

00:15:06.059 --> 00:15:09.080
product in minutes, you sacrifice total code

00:15:09.080 --> 00:15:11.440
-based ownership, but you gain immediate market

00:15:11.440 --> 00:15:14.320
validation. And sometimes speed is the most important

00:15:14.320 --> 00:15:16.419
feature. It is time to put this knowledge into

00:15:16.419 --> 00:15:19.639
practice today. Pick just one of these tools

00:15:19.639 --> 00:15:23.620
that matches your skill level right now. Do not

00:15:23.620 --> 00:15:25.860
try to learn all three platforms at the exact

00:15:25.860 --> 00:15:28.549
same time. Try building a very simple one page

00:15:28.549 --> 00:15:31.590
project this weekend. Yeah. Keep the scope incredibly

00:15:31.590 --> 00:15:34.009
small for your very first attempt. Right. Build

00:15:34.009 --> 00:15:36.549
a habit tracker or a simple form. Experience

00:15:36.549 --> 00:15:38.750
the workflow firsthand and see exactly where

00:15:38.750 --> 00:15:41.549
you personally encounter friction. Two sec silence.

00:15:41.820 --> 00:15:43.679
I want to leave you with a final thought to consider.

00:15:43.960 --> 00:15:46.620
Platforms like Base 44 can spin up fully hosted,

00:15:46.860 --> 00:15:49.460
authenticated web apps. They do it in five minutes

00:15:49.460 --> 00:15:52.559
from simple, plain English prompts. The authentication,

00:15:52.960 --> 00:15:55.759
the database routing, and the UI are all handled

00:15:55.759 --> 00:15:59.320
perfectly for you. So what does it actually mean

00:15:59.320 --> 00:16:03.740
to be a developer in the future? Us. If these

00:16:03.740 --> 00:16:06.360
tools... handle all the underlying code generation

00:16:06.360 --> 00:16:09.080
for us is the most valuable technical skill in

00:16:09.080 --> 00:16:11.500
the world, simply knowing exactly what to ask

00:16:11.500 --> 00:16:15.299
for. Thank you for joining us on this Keep Dive.

00:16:15.379 --> 00:16:17.139
Keep questioning, keep exploring, and we will

00:16:17.139 --> 00:16:17.840
see you next time.
