AI & Automation
My Complete AI Content Workflow: From Brief to Published in 90 Minutes
When I tell people I can go from a client brief to 30 published-ready ad variants in under 90 minutes, they assume I'm cutting corners. I'm not. I've built a system that handles the mechanical execution while I focus on the creative judgment that AI can't replicate.
The Stack
- Claude 3.5 Sonnet: All copywriting, angle development, strategic analysis
- n8n (self-hosted): Orchestration layer connecting everything
- Midjourney + Ideogram: Image generation — Midjourney for photo-realistic, Ideogram for text-heavy Arabic designs
- ElevenLabs: Voice-over scripts for video ads
- Google Sheets: Single source of truth for briefs and approvals
The Workflow: Step by Step
- Brief input (8 min): Coordinator fills Google Sheet — product, audience, campaign goal, key features, tone restrictions
- n8n trigger: Webhook fires when row status = "APPROVED"
- Research sweep: Perplexity API pulls current market context, competitor positioning, trending angles for Kuwait/GCC
- Strategic round with Claude: Research + brief → 5 distinct strategic angles in JSON format, each with hook, emotional driver, CTA direction
- Human gate (me): Approve 2-3 angles via Telegram reply
- Full creative generation: 10 copy variants per approved angle — 3 headlines, 3 body copies, 2 CTAs, 2 Arabic adaptations
- Image prompts: Claude writes Midjourney prompts → n8n sends to API → stores in Drive
- Airtable assembly: Copy + images assembled into ready-to-execute records
The Key Insight
I didn't automate creativity. I automated the mechanical work surrounding creativity: research compilation, brief formatting, first-draft generation, variant production, and report assembly. Creative judgment stays human.
Real Results After 6 Months
- Average ROAS: 2.1x → 4.5x (faster creative iteration = more winning ads)
- Time from brief to published: 5 business days → 18 hours average
- Creative variants tested per month: 4-6 → 18-22
- Team cost: reduced ~55% year-over-year
"The biggest mistake in AI content generation is treating the model like a vague employee. Treat it like a talented contractor who has never met your client — every constraint, preference, and 'we don't say this' must live in the system prompt."
Mohamed Reda
Marketing consultant and AI specialist based in Kuwait. Certified by Anthropic, Meta Blueprint, and Google. Founder of Mashhor Hub and Munjiz Egypt. 10+ years, 143+ projects across the GCC.
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