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Trending short videosExplains data-first AI development workflow
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@angus.sewell

Instagram · Talking Head Edit

@angus.sewell If you want the prompts btw I gotchu just comment the word “prompt” #ai #vibecoding #claude

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Performance

Views
145.3K
Likes
4K
Comments
1.3K
Engagement
3.6%
Outlier
4.2×
Length · 8 Jun 2026
0:56

Video #33467 · Talking Head Edit

Explains data-first AI development workflowfrom @angus.sewell

[01]

Overview

The creator presents a step-by-step tutorial on a 'data-first' approach to building applications with AI. He first identifies the common problem of AI-generated apps failing due to poor data structure, then walks the viewer through a four-step process: brainstorming a database schema with an AI, building the database, creating a UI mockup with an AI design tool, and finally, generating the front-end code to connect to the pre-built database, resulting in a functional application.

[02]

Simple outline

  1. 1Identify common failure
  2. 2Propose new paradigm
  3. 3Walkthrough the solution
  4. 4Summarize the framework

[03]

Related videos

[04]

Classification

Concepts
Tutorial / How ToPlaybook
Elements
B-Roll CutawayImage OverlayScreen Recording

[05]

Hook analysis

What stops the scroll in the first 3 seconds

Title hook · 55%

The real tool has no screens

Verbal hook · 40%

Vibe coders aren't building internal tools anymore.

Visual hook · 5%

A close-up shot of the creator speaking energetically to the camera while holding an earbud cable like a microphone.

[07]

Hook and payoff

The promise the opener makes, and how the video pays it back

Hook

A provocative, contrarian statement that challenges a conventional belief or practice within a specific niche, creating immediate curiosity.

Payoff

A concise, visually clean summary or infographic that codifies the entire process into a simple, actionable, and shareable framework. This transforms the demonstration into a reusable lesson.

[08]

Narrative framework

The structural pattern this video runs on

Framework

The Paradigm Shift Tutorial

Presenting a common, frustrating problem, introducing a contrarian philosophy as the solution, and then providing a step-by-step demonstration of the new method, culminating in a shareable, simplified framework.

  1. 1

    The Relatable Failure

    Visually and verbally describe a common failure scenario that the target audience experiences, establishing an immediate and recognizable pain point.

  2. 2

    The Core Insight

    Reveal the fundamental philosophical shift or core thesis that underpins the new solution. This is framed as the 'real' truth that is often overlooked, invalidating the old method.

  3. 3

    The Method Demonstration

    Break down the new process into a series of clear, sequential, and visually distinct steps. Each step shows a clear input (e.g., a prompt) and a tangible output (e.g., a schema, a mockup).

  4. 4

    The Proof of Concept

    Show the successful final result of applying the new method, directly contrasting it with the initial failure scenario to prove its superiority.

Themes

  • AI productivity
  • Software development methodology
  • Data-centric design

Techniques

  • Step-by-step tutorial
  • Problem-solution framework

Trends

  • AI-assisted coding
  • Vibe coding

Post caption

If you want the prompts btw I gotchu just comment the word “prompt” #ai #vibecoding #claude

Text overlays

  • title · beginning

    The real tool has no screens

  • branding · middle

    Kai Lentit Professional Vibe Coder® X

  • title · end

    The data-first build order. SAVE THIS

  • informational · end

    01 Brainstorm the data Claude project • schema prompt

  • informational · end

    02 Build the database Postgres on Railway, Supabase, or Neon

  • informational · end

    03 Connect Claude Postgres MCP • Claude reads + writes your data

  • informational · end

    04 Build the front-end Last. Throwaway. Rebuild in an hour.

  • informational · end

    The app is the easy part.

Transcript

Vibe coders aren't building internal tools anymore. Dude, they're not. They're building masks. This is you. You open up CloudCo. You start ripping a couple parallel agents. Out pops a cool looking internal tool. And then you go and use it and it doesn't really work how you were hoping it would. Here's what you gotta worst, dude. The front end software layer of your app doesn't matter. It's fully ephemeral. Actual valuable part is all the data that sits under. So you're like, fuck it. Let's flip the whole you create a new Claude project or a GPT or whatever. Give the agent this prompt. It'll give you some ideas for what the database should look like. And connect this to Claude or any Postgres database. And have Claude create those tables in whatever the database you chose. Same chat, bro. Give me this prompt. And it will give you a prompt brief like this. Pull up Claude design. Paste in that prompt, and boom, it'll make you a mock up of what you're trying to make. Unload that mock up. Give it to Claude code. Prompt number three. Now you good an app that actually works well. Software is highly replaceable. Data and the structure of that data is not as much. You start with the data. Once you're happy with the data, then build the software front end, brother.

Explains data-first AI development workflow | Viral Hooks