Agentic Workflow
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.
Chandan KumarUpdated December 16, 2025Founder of Geekflare- Vibe Check
- 🔥 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:
- Planning: The ability to break a complex goal into smaller steps.
- Memory: Retaining context from previous steps. If step 1 fails, the agent remembers that failure so it doesn't repeat it in step 2.
- Tool Use: Access to external capabilities. This could be a web browser, code interpreter, data search, or your internal API.
- 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.
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.
Put the concept to work.
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