The Three Laws of
AI Architecture

Establishing the fundamental framework for high-performance, cost-effective artificial intelligence within the enterprise.

LAW #1: Specificity Precedes Success

  • The more specific your business context in your prompt, the more accurate the AI output
  • Generic prompts produce generic answers (often wrong for your situation)
  • Cost of specificity: 5 minutes of thinking | ROI: Infinite

LAW #2: Verification Beats Confidence

  • Never trust a single AI model on revenue-critical decisions
  • Use LLM Council (3-model verification) for decisions worth >$50K
  • Cost of running 3 models: $0 | Cost of betting on hallucinated answer: Millions

LAW #3: Diagnostic Precedes Implementation

  • 90% of failed optimizations fail because they’re optimizing the wrong variable
  • Spend 10% of budget on diagnosis (lossless research)
  • Spend 90% on implementation (once you know you’re solving the actual problem)