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AI Agents Defined: Runtime Process Beyond Simple Prompts

By PulseAugur Editorial · [2 sources] ·

This article clarifies that building an AI agent involves more than just crafting a detailed prompt. An agent is fundamentally a runtime process comprising a model, a loop, tools, and state, designed to bridge the gap between the model's limited judgment and the dynamic external environment. This structure is essential for tasks requiring multi-step progress, tool interaction, and state management, distinguishing agents from simpler chatbots. AI

IMPACT Clarifies the fundamental architecture of AI agents, guiding developers beyond prompt engineering to focus on runtime processes, loops, and tool integration for complex tasks.

RANK_REASON The article explains a conceptual framework for AI agents, distinguishing them from simple prompts and outlining their core components and operational principles.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI Agents Defined: Runtime Process Beyond Simple Prompts

COVERAGE [2]

  1. dev.to — LLM tag TIER_1 English(EN) · LienJack ·

    Agent Base Definition: Why It Is Not a Prompt

    <h1> Agent Base Definition: Why It Is Not a Prompt </h1> <p>When many people first start building Agents, the most natural reaction is: if we make the system prompt longer, write the rules in more detail, will the model then "work like an Agent"?</p> <p>This intuition is reasonab…

  2. dev.to — LLM tag TIER_1 English(EN) · LienJack ·

    Agent Base Definition: Why It Is Not a Prompt

    <h1> Agent Base Definition: Why It Is Not a Prompt </h1> <p>When many people first start building Agents, the most natural reaction is: if we make the system prompt longer, write the rules in more detail, will the model then "work like an Agent"?</p> <p>This intuition is reasonab…

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