Thinking

Notes and essays on physical AI, manufacturing systems, and quality engineering.

These pieces explore recurring patterns in AI-enabled production environments: inspection systems, failure modes, predictive maintenance, execution risk, and the limits of analytics when applied to complex, real-world systems.

The emphasis is on first-order mechanics, second-order effects, and where theory breaks down under operational reality.

Selected topics include:

• AI-enabled inspection and automatic optical inspection (AOI)

• Failure analysis and root cause analysis in scaled systems

• Predictive maintenance and vibration-based monitoring

• Time-series analysis and anomaly detection

• Quality systems under automation and scale