AI Agent Security, Evaluation, and Prompt Engineering Articles
Technical articles on AI agent security, prompt injection, LLM evaluation, prompt engineering, code review, and reliable AI workflow design.
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When AI Seems to Care
How language models process and express emotional information, and why these capabilities do not establish subjective feeling.
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Beyond the prompt: AI models, reasoning, and speed
How model choice, reasoning effort, and speed settings affect quality, response time, and token use.
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How a Forged Message Can Hijack an AI Workflow
A forged message can turn a release review into an unauthorized deployment. Follow the handoff between AI agents to see why message verification and action authorization require separate checks.
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Cognitive Closure in AI Use: Why We May Stop Too Soon
How the need for cognitive closure may interrupt the evaluation, feedback, and revision needed to improve an AI-generated answer.
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How to Write for AI Models: The Language of Effective Prompts
Learn how to replace conversational filler, theatrical personas, leading premises, and competing tasks with prompt language that is clear, operational, and testable.
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Role-Play Jailbreaks: A Testable False-Premise Mechanism
A research-grounded analysis of how role-play may introduce a false safety premise that changes an LLM's interpretation of a restricted request.
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