
Everyone Has an AI Policy. Almost Nobody Has Evidence.
AI assurance is becoming the pentest of the AI era. What it is, why it matters for anyone shipping AI into production, and what an honest one looks like.
Our team thinking out loud about what happens when AI features meet real users. Incident analysis, field notes from assurance work, original research, and the occasional argument with the industry.
When an AI system fails in public, what actually went wrong underneath the headline — and whether yours has the same shape.
Field notes from auditing live LLM features. Adversarial testing, evals that survive a model change, and what buyers have started asking for.
Original data from our own studies and open-source benchmarks. Interpretability, evaluation, and the psychological safety of conversational AI.
Reflections from the ground between clinical practice, AI engineering, and running a small lab in Liverpool.

AI assurance is becoming the pentest of the AI era. What it is, why it matters for anyone shipping AI into production, and what an honest one looks like.
Open-source pscyhology safety toolset for conversational AI
open-source pscyhology safety toolset for conversational AI
A 9D Lesion Study in Emotional Subspace in Transformers
A Mechanistic Dissociation of Affect Reception and Emotion Categorization in LLMs
Empathyc 1.3 is live. And it's obsessed with safety and privacy.
Clinical psychology for AI. Research, insights, and frameworks for building emotionally intelligent systems.