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Dispatch from the Future: building an AI-native Company

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Claims a 10x difference between 90% and 100% AI adoption and shows production evidence: 15 people running four real products (Cora, Monologue, Spiral), 7,000 paying subscribers, double-digit MRR growth, and ~99% of code generated by agents (Cloud Code, Claude Code, CodeX, Droid). Describes Compounding Engineering loop—plan, delegate, assess, codify—enabling single-engineer ownership, parallel agent work, cross-app PRs, rapid prototyping, and managers committing code under fractured attention.

AI-written summary · about

  1. 0:00Introduction & The "No Playbook" Reality
  2. 2:11The 10x Difference: 90% vs 100% AI Adoption
  3. 3:16Every's "AI Native" Structure (15 people, 4 products)
  4. 4:14Product Examples: Kora, Monologue, & Spiral
  5. 5:30The Shift to Cloud Code & Agentic Workflows
  6. 6:00Parallel Execution & Vibe Coding
  7. 7:20The Rise of "Demo Culture"
  8. 14:00Cross-App Collaboration & Customer Agents
  9. 14:35The Polyglot Stack Advantage
  10. 15:09Managers Committing Code & Fractured Attention
  11. 16:20Compounding Engineering & Conclusion
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