agent reliability

Agent reliability is a critical concern for IT teams and knowledge workers deploying large language models and agentic AI systems. Discussions on WindowsForum highlight recurring failure modes in tools like ChatGPT, including hallucinations, lack of auditability, and inconsistent task execution. These issues emerge as AI moves from experimental use to production infrastructure. Practical strategies for safe deployment include human-in-the-loop validation, clear escalation paths, and limiting agent autonomy in high-stakes workflows. The tag covers real-world incidents and research that underscore the gap between AI's promise and its current dependability, offering actionable advice for professionals who need to balance innovation with operational risk.