The AI system that runs my consulting practice: its real failure numbers, what the ledger says caused them, and what the system still can't do.

Practical architectural patterns for companies moving AI from prototype to production: routing, evaluation, and graceful degradation.

Why the best engineering teams optimize for system-level outcomes rather than feature-level outputs, and how to make the shift.

How applying JTBD theory to technical decisions transforms architecture from an exercise in technology selection to an exercise in outcome delivery.