Independent AI Behavior Research Publication
WORKFLOW RELIABILITY Five Workflow Failure Patterns That Reduce ChatGPT Reliability Understanding how everyday workflow decisions influence AI consistency, instruction-following, and output quality. Quick Answer Many unreliable ChatGPT responses are influenced by how conversations are managed, not just by the prompt itself. Workflow habits such as mixing unrelated tasks, layering conflicting … Read more
Quick Answer AI tools fail because they generate outputs from learned patterns rather than true understanding. Small changes in prompts, missing context, evolving real-world conditions, and unverified information can reduce accuracy without obvious warning signs. Monitoring and human review help identify these failures before they affect decisions. What you’ll learn: … Read more
Quick Answer: Conflicting instructions are two or more directions in a prompt that compete or contradict each other — e.g., “detailed but concise,” “casual but formal,” “expert-level but beginner-friendly.” Without a clear priority, AI models tend to blend the conflicting requirements rather than satisfy either one. In repeated workflow testing … Read more
Quick Answer: AI can give wrong answers for different reasons, including outdated information, missing context, and unsupported or fabricated information. Identifying the likely failure type can help you choose a more appropriate way to check or correct the answer. Key Takeaway: This guide distinguishes three common AI failure types: missing … Read more
Introduction Have you ever wondered why an advanced AI confidently invents fake software features, breaks character just to be “helpful,” or fails at basic math when you rush it? To find out exactly where AI breaks down, I conducted exploratory prompt testing across models like GPT-4o, Claude 3, and Gemini. … Read more
Introduction If you have ever pasted the exact same prompt into ChatGPT and Gemini but received completely different answers, you aren’t alone. Many users assume one AI is simply “smarter” than the other. But in many cases, the difference is not simply the underlying model—it can also reflect how the … Read more
Quick Answer: An AI workflow is a structured process for using AI in multiple steps instead of relying on a single prompt. It typically involves creating an input, generating a response, reviewing the output, and refining specific weaknesses to improve quality, consistency, and accuracy. Introduction An AI workflow is not … Read more
Introduction When summarizing financial risk documents, a perfectly written summary can create serious downstream risk if it removes the exact qualifiers an auditor needs to see. During a recent workflow test (EXP-006), we fed a long-form financial document into three major AI models. The document contained this specific clause: “If … Read more
What Are AI Tools? Quick Answer: AI tools are software applications or interfaces that use AI models or AI-powered systems to perform tasks such as generating, transforming, classifying, retrieving, analyzing, or organizing information. Some AI tools generate outputs from learned patterns, while others combine AI models with retrieval, external data, … Read more