AI work fails gradually through

Short summary

AI-generated code work fails gradually through 'drift'—accumulated waste from retry loops, forgotten requirements, and rediscovered decisions—not sudden failure. Real-time operational monitoring (like manufacturing's Andon boards) detects these patterns while recoverable. The solution requires both continuity systems and live supervision to catch invisible waste before it compounds.

• •AI work degrades through drift (invisible waste from retry loops, forgotten requirements, scope creep) rather than sudden failure
• •Real-time monitoring catches problems while recoverable; retrospective analysis comes too late
• •Manufacturing principles (Andon boards, continuity systems) apply to AI engineering—Holistic preserves context, Andon watches for degradation

Generated with AI, which can make mistakes.