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Скачать или смотреть Retro No.5: Why "AI-Native Thinking" Just Solved My Biggest Content Problem

  • The Media CTO - Digitising Events
  • 2025-08-28
  • 7
Retro No.5: Why "AI-Native Thinking" Just Solved My Biggest Content Problem
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Описание к видео Retro No.5: Why "AI-Native Thinking" Just Solved My Biggest Content Problem

Week 5 of Human in the Loop, and I finally cracked the content strategy challenge that's been eating at me - how to move from random posting to orchestrated story arcs. Plus, after weeks of frustration, I got the markdown-to-voice integration working properly.

🔧 What Actually Got Built:
✅ Content Story Arc Framework - COMPLETED and documented
✅ Content DNA JSON schema with semantic embeddings approach
✅ BigQuery structure: content_imprint + performance_data tables
✅ 27 standardised thematic tags across 6 categories
✅ Markdown-to-Voice service - live and tested (2 hours of Docker pain, then pivoted to clean Cloud Run)

💡 The Big Insight:
Instead of manually managing content relationships, I'm using semantic embeddings to create "Content DNA." A YouTube video from January can now automatically link to a related Instagram reel 2 months later - relationships emerge naturally through AI similarity matching.

⚡ Power Triumvirate Discovery: The winning combination is LLMs + NoCode Automation + "Vibe Coding" microservices. LLMs handle intelligence, Make.com orchestrates workflows, and tiny microservices solve specific problems with minimal overhead. You only pay when you use them.

⚠️ What's Still Broken: MCP action throwing 400 errors on markdown-to-voice integration, Cloud Run showing wrong timezone (7-hour London difference) Google's Cloud Functions vs Cloud Run UI remains confusing

🎯 What Changes Next Week: Moving from reactive to orchestrated content strategy. The Content DNA framework is documented and ready for implementation. Testing the Bundle Token Hack mini-learning I've recorded, plus optimising Make.com scenarios.

The macro-Learning: When surrounded by AI tools, you need AI-native thinking. The Content DNA breakthrough came from asking "how would AI solve this?" instead of "how do humans traditionally solve this?" That mindset shift is becoming core to the HITL methodology.

Testing hypothesis: Will Content DNA reduce manual planning overhead while improving story coherence? We'll find out.
Timestamps:

00:00 Week 5 Overview
01:00 Content DNA Framework Breakthrough
03:00 Markdown-to-Voice Success Story
04:00 Power Triumvirate Discovery
06:00 Technical Patterns & What Broke
07:00 Moving to Orchestrated Strategy
08:00 AI-Native Thinking Shift

#HumanInTheLoop #ContentStrategy #AIThinking

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