Independent AI Behavior Research Publication
Choosing an AI tool based on popularity or a generic “Top 10” list is a strategic mistake. In the current landscape, the effectiveness of an Artificial Intelligence application is not determined by its raw power, but by its alignment with specific stages of a professional workflow. Quick Answer No single … Read more
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Quick Answer: AI can give wrong answers for several different reasons, including outdated knowledge, missing context, hallucinated information, and data or metric-semantics errors. Identifying the failure type can be more useful than simply switching to another AI model, because different failure types require different fixes. Key Takeaway: This guide distinguishes … 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 repeatable sequence of steps for generating, reviewing, and refining an AI output. Instead of asking for a final answer in one prompt, you separate the task into smaller stages so you can identify and correctspecific weaknesses.In my own prompt testing, this approach was … 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
AI tools are software applications that use artificial intelligence (AI) to perform tasks such as writing, answering questions, generating images, analyzing data, summarizing documents, and assisting with coding. They use AI models or other AI-powered systems to process input and produce outputs, predictions, recommendations, or actions. For example, an AI … Read more