AI Workflows are defined, multi-step automation sequences that leverage AI models for specific tasks like summarization or data classification. They follow a clear, predictable path.

AI Agents are the next evolution: autonomous workflows that use Large Language Models (LLMs) for reasoning, deciding their own next steps, and using tools to achieve a goal. Unlike fixed workflows, agents can adapt.

Tools like n8n (a visual workflow automation platform) are essential for implementing both. n8n's drag-and-drop interface lets users connect LLMs (like Gemini or GPT) with its 500+ app integrations to define tools for agents (e.g., sending an email or querying a database). This enables the design of complex, adaptive automations—from a single research agent to a multi-agent system—without extensive coding.