How to design AI systems that degrade gracefully
AI systems fail in ways that traditional software does not. The outputs are probabilistic, the failure modes are subtle, and the degradation is often invisible until it becomes a problem. Designing for graceful degradation is not optional for AI systems in production.
AI EngineeringSystem DesignProduction AIReliability
The case for boring AI
The organizations getting the most value from AI are not the ones deploying the most sophisticated systems. They are the ones deploying narrow, reliable systems that handle specific tasks predictably and at scale.
AI AdoptionAI StrategyProduction AIAI EngineeringReliability