---
title: "Agentic Workflow vs. Autonomous Agent: What’s the Difference?"
url: https://daily.dev/posts/agentic-workflow-vs-autonomous-agent-what-s-the-difference--mlejxwgqc
source_url: https://machinelearningmastery.com/agentic-workflow-vs-autonomous-agent-whats-the-difference
type: article
source: "Machine Learning Mastery"
published: 2026-06-25T12:09:50.706Z
updated: 2026-06-25T14:20:18.893Z
tags: ["llm", "ai-agents"]
reading_time: 11
upvotes: 2
comments: 0
language: en
---

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# Agentic Workflow vs. Autonomous Agent: What’s the Difference?

**[Machine Learning Mastery](https://daily.dev/sources/mlm)** · 11 min read · 2 upvotes · 0 comments

## Summary

A conceptual and practical breakdown of the spectrum from deterministic workflows to autonomous multi-agent systems, anchored on a single axis: who owns control flow — a human writing code in advance, or a model reasoning at runtime. The piece walks through four stages (deterministic pipelines, orchestrated workflows, ReAct-based reactive agents, and autonomous multi-agent swarms) with illustrative code snippets showing how control flow differs at each stage. Key takeaway: in production, hybrid architectures dominate — deterministic modules handle well-understood steps while genuine autonomy is reserved for open-ended sub-problems. Fully autonomous agents remain largely exploratory outside narrow domains.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://machinelearningmastery.com/agentic-workflow-vs-autonomous-agent-whats-the-difference>

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Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents)

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