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Featured Articles
LLMs, Workflows, and Agents: What Actually Changes?
The real shift from LLM to workflow to agent is not a buzzword change. It is a change in who owns the task, the execution path, and the next-step decisions.
Why Agent Engineering Is Becoming Its Own Discipline
Agent engineering is emerging because the hard problem is no longer a single prompt. It is designing closed-loop systems that can reason, retrieve context, use tools, stay governable, and hold up in production.
What Is an AI Agent?
An AI agent is a goal-directed system that can observe state, decide what to do next, use tools, and act across multiple steps. Here is the clean first-principles definition, plus how agents differ from LLMs and workflows.
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LLMs, Workflows, and Agents: What Actually Changes?
The real shift from LLM to workflow to agent is not a buzzword change. It is a change in who owns the task, the execution path, and the next-step decisions.
Why Agent Engineering Is Becoming Its Own Discipline
Agent engineering is emerging because the hard problem is no longer a single prompt. It is designing closed-loop systems that can reason, retrieve context, use tools, stay governable, and hold up in production.
All Articles
LLMs, Workflows, and Agents: What Actually Changes?
The real shift from LLM to workflow to agent is not a buzzword change. It is a change in who owns the task, the execution path, and the next-step decisions.
Why Agent Engineering Is Becoming Its Own Discipline
Agent engineering is emerging because the hard problem is no longer a single prompt. It is designing closed-loop systems that can reason, retrieve context, use tools, stay governable, and hold up in production.
What Is an AI Agent?
An AI agent is a goal-directed system that can observe state, decide what to do next, use tools, and act across multiple steps. Here is the clean first-principles definition, plus how agents differ from LLMs and workflows.