AI agents, which allow language models to autonomously choose steps and tools to achieve a goal, are becoming increasingly prevalent. Unlike chatbots, these agents operate in a loop of deciding, acting, and observing. While Anthropic distinguishes between agents and workflows, noting agents are more costly and prone to errors, open protocols like MCP and A2A are emerging to structure the ecosystem. Security remains a concern, with prompt injection and excessive agentivity listed among OWASP's top LLM application risks, leading many users to limit how often they allow agents to act independently. AI
IMPACT AI agents are becoming more common, but users are cautious about letting them act autonomously due to security and cost concerns.
RANK_REASON Article discusses the functionality and limitations of AI agents, which are a type of AI product/tool.
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