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Agentic AI

AI that takes actions in the world, not just generates text.

Agentic AI describes systems that pursue a goal across multiple steps, calling tools, browsing the web, or using APIs along the way. The defining shift from a chatbot to an agent is the ability to act on the user's behalf — fetch data, fill forms, send emails, write code, modify files.

In 2026, the term mostly refers to LLM-driven systems wrapped in a planning loop, with access to a defined toolset. Modern agents like Claude Code, Devin, Lindy, and 11x are agentic: they don't just answer questions, they do work.

The practical question for operators isn't whether agents work — they do — but where their reliability ceiling is for any given task. Tasks that decompose into many short, well-scoped steps work well. Tasks that require subjective judgment, deep domain context, or long causal chains still struggle.

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