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Why AI Should Start with Requirements, Not Development

TL;DR AI

Key summary

2 min read
  1. The article argues that speeding up coding alone with AI is not enough to deliver strong results or ROI.

  2. The real bottleneck has shifted to pre-development work: defining, validating, and agreeing on requirements.

  3. It proposes VOS and an AI-native workflow to better orchestrate business needs, prompts, and process design.

  4. The key message is that AI value depends on improving requirements and verification, not just development speed.

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