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Why I Built an AI Video Content Engine

Building a content pipeline to turn ideas into outputs — with a little help from AI.

Why I Built an AI Video Content Engine
ai aws video creativity workflow
Apr 25, 2025 2 min read Linda Mohamed
Why I Built an AI Video Content Engine

Why I Built an AI Video Content Engine

I love creating things.
Videos. Talks. Articles. Workshops.
But you know what I don’t love?

Spending hours tweaking subtitles, writing captions, drafting LinkedIn posts, and wondering if I already summarized that video better two months ago.

At some point, the admin work of creativity starts eating the joy of creativity.

That’s when I realized: I needed a second brain.

🧠 Not Just Automation — Amplification

I didn’t want to automate creativity away.
I wanted to amplify it.

That’s when I started experimenting:

  • What if I could upload a transcription and get back not just text, but a blog post, a quiz, and a LinkedIn post?
  • What if I could run a video through a workflow and have the first draft of everything waiting for me?
  • What if AI could help me start faster, so I could focus on polishing, connecting, creating?

The answer?
A modular, scalable, AI-powered content engine.

⚙️ How It Works (In a Nutshell)

I designed a system that looks like this:

  • Upload a video (or use a recording)
  • Trigger a Step Functions workflow
  • Auto-transcribe the audio
  • Auto-detect key scenes with Rekognition
  • Invoke Bedrock (Claude model) to generate:
    • ✍️ A blog post
    • ✨ A LinkedIn-style post
    • ❓ A short quiz
    • 📝 A concise summary
  • Save everything into S3 for easy reuse

Simple on paper.
Magical when it works.

Workflow Overview

🚀 Why It Matters

Building this wasn’t about automating my job away.
It was about giving myself breathing room to stay creative longer.

Instead of staring at a blank screen, I now get to iterate.
Instead of worrying about transcription errors, I get to refine stories.

I started this project because I needed it.
But the more I used it, the more I realized:

Every creator deserves a crew.

Even if that crew is made of pixels and prompts.

➡️ In the next post, I’ll show you exactly how I designed the architecture — and why choosing modular pieces (like AWS Transcribe, Bedrock, and Rekognition) made all the difference.

Thanks for being here 💛

📬 Questions? Ideas? Let’s talk: hello@lindamohamed.com