Don't build an AI that replays yesterday's spec โ€” the gap between spec and source of truth is the real context

๐Ÿ“ฐ Dev.to AI

Learn to identify the gap between spec and source of truth in AI development to create more effective and context-aware AI systems

intermediate Published 19 May 2026
Action Steps
  1. Identify the spec and source of truth in your AI project
  2. Analyze the gap between the spec and source of truth
  3. Use visualizations like the drift curve to understand the context
  4. Apply the five-whys method to determine the root cause of discrepancies
  5. Implement a context-aware approach to AI development using the Harness concentric layers framework
Who Needs to Know This

AI engineers, data scientists, and product managers can benefit from understanding the importance of context in AI development to build more accurate and reliable systems

Key Insight

๐Ÿ’ก The gap between spec and source of truth is the real context in AI development

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๐Ÿค– Don't build AI that replays yesterday's spec! Understand the gap between spec and source of truth to create context-aware AI systems ๐Ÿ’ก
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