The Dirty Secret Behind Most AI Agent Demos You See on LinkedIn
The author argues that the term "AI agent" is being overused, leading to engineering mistakes. A true agent, they contend, has an objective and can decide its next steps, handle failures, and know when it's done, unlike simple function calls or chat interfaces. Current production deployments of AI agents are typically narrow and purpose-built, with successful teams focusing on tool design, failure handling, and observability rather than just the latest model release. AI
IMPACT Highlights the gap between AI agent hype and practical implementation, urging focus on core engineering principles over buzzwords.