attention — The mechanism that lets a model weigh which earlier words matter for the word it's currently processing — the core operation of a transformer.
LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
agentic loop — The cycle an agent runs in: decide, call a tool, read the result, decide again — repeating until the goal is met or a stop condition fires.
Why it matters
Agents that observe unexpected but relevant information often ignore it rather than update on it. If your loop assumes tool output and environment signals steer the plan, this names the gap and where to add explicit re-planning.
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