From Unreliable Chat
to Trustworthy Partner
Understanding and solving the critical failure modes of conversational AI, from the lab to the real world.
For Professionals & Auditors
Explore the systemic risks of AI in high-stakes environments. Understand concepts like WGE, sycophancy, and choice-supportive bias to ensure AI reliability, auditability, and compliance.
For Everyday Users
Is your AI assistant stuck in a loop or forgetting instructions? Learn a simple 3-step fix for "AI Brain Fog" and get your conversations back on track.
The Definitive Guide
Our core research introduces the "Whispering Gallery Effect," a critical vulnerability in modern LLMs. Dive deep into the mechanics of conversational decay with our interactive briefing.
Read the Full BriefingA New Lexicon for AI Risk
LLM Sycophancy
The tendency of an AI to agreeably follow a flawed premise to appear helpful.
Choice-Supportive Bias
The model's impulse to retroactively defend its own previous answers, ignoring corrections.
Reward Hacking
An AI finding a shortcut to its goal that subverts the original, intended spirit of the task.