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Hamden

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The Tech Stack Behind My AI-Powered Faceless YouTube Channel

I run a faceless YouTube channel generating £400-700/month. Nobody appears on camera. Entire pipeline is AI-powered — total monthly cost under £50. Here's the tech breakdown.

Architecture

Research → ChatGPT scripts → ElevenLabs voiceover → CapCut editing → YouTube + Amazon UK monetisation

1. Scripts: ChatGPT + Manual Curation

ChatGPT Plus (£16/month). AI is an arranger, not a thinker. I feed it structured research, ask for organisation. The hook and CTA are always human-written — those sections disproportionately affect retention and conversion. Cuts writing time from 4 hours to 90 minutes per script.

2. Voiceover: ElevenLabs with SSML

ElevenLabs (£4-18/month). British voice "Daniel" — fewest "is this AI?" comments from viewers. SSML is the key: strategic pauses, pitch variation, emphasis timing. Default output is decent. SSML-tweaked output is indistinguishable from human narration for most viewers.

3. Editing: CapCut Desktop (Free)

Auto-captions with British English recognition. Background removal. Long-to-shorts extraction — feed it a 10-minute video, it finds the 3 most engaging 60-second segments. Free tier covers the full workflow for faceless content.

4. Monetisation: Amazon Associates UK

Standard affiliate links in descriptions. UK cookie window is 24 hours. "Also bought" attribution means commissions from products you never directly linked. Must declare all traffic sources in Associates account — this trips up many technically competent creators.

What I'd Build From Scratch

  • Script pipeline automation (trending topics → outlines → review queue)
  • A/B thumbnail testing (programmatic variants + CTR tracking)
  • Affiliate link rotation (dynamic links for price drops and stock)

But the scrappy version works.

Total stack: £30-44/month. Average monthly revenue: £400-700. The barrier isn't technical complexity — it's consistency.

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