What actually makes something an "AI agent" — and when should you skip building one? Deepak Pai, Principal Scientist at Adobe, cuts through the hype to explain the real building blocks: LLMs as the "brain," paired with function calls, APIs, and the Model Context Protocol to let them perceive and act. He offers a clear-eyed take on when agents are worth the complexity (open-ended, multistep tasks) and when they're not (simple, high-stakes, or predictable work) — plus an honest look at where agents still fall short today. Q&A covers tooling choices and when to trust an agent versus your own expertise.
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