A community seed-library suite can open the case tracker and attach a draft pack after a tester states a goal. How does an LLM-powered agent differ from a chatbot that only answers?
Select an answer to reveal the explanation.
Short Explanation
A chatbot talks; an agent also picks up tools and does the chore. Invoking predefined functions to open the tracker or attach a pack is the difference. Conversation alone is not agency.
Full Explanation
An LLM-powered agent is a specialized application that acts by invoking predefined tools to interact with external systems. Chatbots primarily produce answers without that tool-backed action loop. In testing, agents can update trackers, generate packs, and call other services toward a goal.