Inquisitor Labs

AI fails in deployment because it wasn’t tested with the correct methods.

We have developed practical behavioural testing methodologies that solo developers, AI startups and established teams can use immediately. Start today with shorter, practical tests -and as your expertise grows, you can run full realistic interaction evaluations. Learn how your AI systems cope or fail when real people and real work interact with them.

Essential for regulatory compliance. Also critical for protecting the commercial value of your project and reducing legal, financial & reputational risk. Identify failure modes before they become serious issues -and generate the recorded evidence necessary to prove your case.

LLM Inquisitor AI Testing Methodology

Convesrational AI Testing

“There is no magic prompt with which you can test AI. What you can do, is give AI real work under realistic conditions and observe what happens.”

LLM Inquisitor is a practical methodology for evaluating and stress-testing AI systems under real-world conditions. It exposes hidden failure modes, behavioural drift, data leakage, hallucinations, and workflow-level risks that traditional prompt testing cannot detect. Structured, scenario-based, and auditable, it gives developers, testers, and governance teams a repeatable way to understand and manage AI behaviour.

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“Users do not ask one question and leave. They engage in multi-turn, free-flowing dialogue.”

Vectored Conversational AI Testing is a behavioural methodology built for real conversational interactions, not single-prompt checks. It evaluates how AI systems adapt, drift, recover, escalate, or fail across full conversational arcs. Structured, repeatable, auditable -designed for developers, governance teams, and standards bodies who need reliable behavioural evidence.

Open on Leanpub

AI Behavioral Testing Under Realistic Conditions Matters

AI systems need to be evaluated using realistic conditions, behavioural evaluation, and scenario‑based analysis. It is the only way to identify failures, measure reliability, and generate evidence that aligns with modern AI governance and regulatory requirements. Find out more here.

AI & UX Evaluation Service

We evaluate AI systems using real user interactions across real contexts – from everyday work tasks to AI‑driven apps and chatbots. We help identify AI & UX failures, behavioural issues and points of friction early, before they turn into customer impact or regulatory and financial consequences.

EU AI Act – Support, Resources and Guidance

Support, resources and guidance for organisations that must comply with the EU AI Act. Find out whether the Act applies to your systems, understand what evidence is required, and learn how to test AI using real‑world conditions to meet the new legal obligations.

AIOBES – Behavioural Governance Standard

The emerging standard for AI behavioural safety, reliability, and structured evaluation across modern AI systems.

Articles Published On Medium

Read our articles on AI & Tech published on Medium.

Archive of AI Anomalies

Strange and unusual behaviour from the frontiers of latent space. When we push the edges of AI behaviour in our reseach, we often get surprising results. Some have been declassified here as a public resource.

Published Research

Public research linked to Inquisitor Labs. Published on Zendo. Updates will be added as further work is completed.

Contact via GitHub: AssimilatedHuman