An AI agent is fundamentally a workflow, but its autonomy is distinguished by the number of manual layers required. Unlike workflows with unbounded layers, agents simplify this to a loop of start, process, decision, and end, where the output of each stage feeds back into the start until a goal is met or resources are depleted. AI
IMPACT Clarifies the conceptual distinction between AI agents and traditional workflows, focusing on the layered autonomy of agents.
RANK_REASON The item discusses the conceptual definition of AI agents and their relationship to workflows, offering an opinion on their autonomy.
Read on Mastodon — mastodon.social →
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
