Open this lesson in your favourite AI. It'll walk you through the why, explain the demo, and quiz you on the try-it list.
Human searchers scan results visually, follow curiosity, and tolerate ambiguity — agents issue precise tool calls, parse structured outputs, and terminate as soon as a confidence threshold is met, which means the content humans find compelling often never reaches an agent's context.
Use these three in order. Each builds on the one before.
In one paragraph, explain the key behavioral differences between how a human uses a search engine and how an AI agent uses a web browsing tool.
Walk me through how an agent decides when to stop gathering information and synthesize an answer, versus how a human decides they have read enough.
Given a product whose core differentiation is communicated through interactive demos and video content, what specific challenges does that create for agent-led discovery, and how would you restructure the content to compensate?