08 Feb 2026
The AI Stack I Use to Create Tech Content at Scale
Content at creator speed
Creating tech content as a one-person operation means you need systems, not just ideas. I publish across YouTube, LinkedIn, and a newsletter — each with different formats, audiences, and cadences. AI makes this possible without a 10-person team.
Here's the exact stack I use and how each tool fits into my content pipeline.
Research and ideation
I use Perplexity for fast research when a topic breaks — it pulls from recent sources and gives me a starting point in seconds. Claude handles the deeper analysis: I'll paste in a whitepaper, product launch, or earnings call transcript and ask it to extract the angles my audience would care about.
The combination means I spend 20 minutes on research that used to take 2 hours. Speed matters when trending topics have a 48-hour window.
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Join the newsletterWriting and editing
My newsletter drafts start as voice memos. I use transcription tools to convert them to text, then Claude to restructure into a clean article format while preserving my voice. The key instruction I always give: 'Keep the operator tone. No fluff. No filler words.'
For LinkedIn posts, I write the core insight manually (60 seconds), then use AI to test three different hooks. The hook is 80% of whether a post performs — so I A/B test at the writing stage, not after posting.
Video production
For YouTube, I script with AI assistance but always record authentically. AI helps me create better outlines, tighter scripts, and more compelling titles/thumbnails concepts. The camera work and delivery are 100% me — that's where trust lives.
Post-production: AI-powered tools handle captions, clip extraction for Shorts, and basic color correction. What used to be 6 hours of editing is now 2.
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