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Agentic workflows vs. AI agents: Understanding the difference

The distinction between agentic workflows and AI agents lies in which entity dictates the sequence of operations. Agentic workflows involve a predefined sequence of steps where code determines the next action, with a language model potentially executing specific tasks within that sequence. In contrast, AI agents are systems where the language model itself selects the subsequent tool or action, offering more dynamic decision-making. The choice between these two designs depends on the specific task requirements, with workflows being suitable for fixed pipelines like data processing or document drafting, while agents are better for more complex, adaptive processes. AI

IMPACT Clarifies terminology for AI developers, aiding in the selection of appropriate agentic systems for specific tasks.

RANK_REASON The item discusses concepts and distinctions within AI agent development rather than announcing a new product or research finding.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Agentic workflows vs. AI agents: Understanding the difference

How we ranked this

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2 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
The item discusses concepts and distinctions within AI agent development rather than announcing a new product or research finding.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

Full methodology in our editorial standards.

COVERAGE [1]

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

    Agentic workflows vs AI agents, and when not to build one

    <p>An agentic workflow is a multi-step process in which a language model does part of the work, such as drafting, classifying, retrieving or calling a tool. The term covers two designs: in one, code you wrote picks every next step, and in the other the model picks it, a design mo…