Evaluating Behaviour and Risk in AI Systems.

Practical testing methods, behavioural studies, and real-world analysis, for engineers and testers building AI.

Behaviour

How LLMs actually behave, biases, drift, and emergent patterns.

Testing

Methods, frameworks, and benchmarks for evaluating AI systems.

Security

Adversarial testing, prompt injection, and safety evaluation.

Analysis

Real-world case studies, industry analysis, and perspectives on AI quality.

Practical thinking on AI quality, no silver bullets.

I write about benchmarks, red-teaming, evaluation frameworks, behavioural testing, production monitoring, and the messy reality in between. No single method solves AI quality, I'm here to map the landscape honestly.

Written by James Pearce, 15+ years in software quality, now focused on the evaluation of AI systems in production. Opinions are my own, and I'll always tell you when something is opinion vs. evidence.