IMPLICATION
AI writes specifications. Machines verify them.
Today, AI can write code faster than humans can review it. That's the bottleneck—AI productivity is capped by human verification capacity.
But what if AI wrote specifications that machines could verify?
The shift
AI writes code
→ Human reviews every line
→ Human writes tests
→ Tests run (partial coverage)
→ Hope it's correct
Bottleneck: human capacity
AI writes specifications
→ Machine verifies
→ Proofs generated automatically
→ 100% behavior coverage
→ Mathematically guaranteed
Bottleneck: none
Why this matters
Scalable AI productivity
No human review bottleneck. AI generates, machines verify, correctness guaranteed. Scale limited only by compute, not people.
Auditable AI decisions
Every AI-generated specification is traceable, explainable, and provable. Regulatory compliance built in.
Constrained AI behavior
Specifications define exactly what AI can do. Mathematical proofs ensure it can't do anything else. Controlled, bounded, safe.
No hallucination risk
AI might hallucinate a specification. The verifier will reject it. Wrong specs don't execute—they fail verification.
Example workflow
# Human request:
"Create a pricing rule: gold customers get 15% off orders over $500"
# AI generates specification:
if customer.tier == "gold" and order.total > 500:
apply_discount(15%)
# Machine verifies:
✓ Termination: guaranteed
✓ Deterministic: guaranteed
✓ Bounds: discount ≤ 15%
✓ No side effects
# Result:
Deployed. No human review needed.
Related implications: