Agentic Workflow

Last Updated: December 16, 2025
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Agentic Workflow is an iterative system where an LLM doesn't just talk but acts like planning tasks, web search, code execution, data fetch, and self-correcting errors to achieve a complex goal without human intervention.

At-a-Glance

Vibe Check:  ๐Ÿ”ฅ Standard Practice (The new normal in 2026)

Origin Story: The concept exploded with the "ReAct" paper published by Princeton & Google researchers.

Pitfall: If an agent makes one mistake early in the chain, it often doubles down on that mistake in subsequent steps.

ELI5 (Explain Like I'm 5)

Imagine you need to write an email

  • Standard LLM: Think of a standard LLM prompt as asking a smart person to write an email.
  • Agentic Workflow: This is like hiring that smart person, giving them a laptop with necessary tools. They don't just guess; they verify facts, draft the email, read it, fix the error, and then send an email.

What is an Agentic Workflow?

An Agentic Workflow is a system where an LLM is used as the reasoning engine to drive a multistep process autonomously.

Unlike a traditional linear script where a human hard-codes step A step B, an agentic workflow is dynamic. The AI analyzes the user's request, breaks it down into sub-tasks, and decides which tools to use and in what order to solve the problem.

Top 4 Components of an Agent

The workflow usually requires four key components:

  1. Planning: The ability to break a complex goal into smaller steps.
  2. Memory: Retaining context from previous steps. If step 1 fails, the agent remembers that failure so it doesn't repeat it in step 2.
  3. Tool Use: Access to external capabilities. This could be a web browser, code interpreter, data search, or your internal API.
  4. Action: The ability to execute the decision, read the output, and loop back to the planning phase.

Builder's Stack

Category Tools
Orchestration LangGraph, LangChain, AutoGen, CrewAI
LLMs Anthropic Claude Haiku, Gemini Pro, GPT
No-Code Builder Dify, N8N

What community is saying.

Quote

I think AI agentic workflows will drive massive AI progress this year - perhaps even more than the next generation of foundation models. This is an important trend, and I urge everyone who works in AI to pay attention to it. - Andrew Ng

 

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