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Agentic Workflows

Multiple AI agents collaborating to complete complex tasks

What is Agentic Workflows?

Systems where multiple AI agents work together, each handling a specialized role — one researches, another writes, a third reviews. Unlike single-prompt interactions, agentic workflows chain decisions, delegate subtasks, and iterate autonomously. The shift from 'AI as a tool' to 'AI as a team' is the biggest structural change in how work gets done in 2025. If you're still using AI one prompt at a time, you're leaving 80% of its capability on the table.

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LV’s AI hub

Original context on AI applied to creation, research, and systems.

Creator OS

Useful when AI is part of a content workflow that still needs human judgment.

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In plain words

"Think of it like a project manager coordinating specialists — each agent owns a piece of the pipeline."

How it works

Key takeaways

  • Multiple specialized agents collaborate

  • An orchestrator coordinates the workflow

  • Each agent has a focused role and toolset

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Real-world example

A research agent gathers data, a writing agent drafts the report, and a reviewer agent checks for accuracy. An orchestrator routes tasks between them. The output is higher quality than any single agent could produce alone.

Related terms

AI Agents

Autonomous AI that plans and executes tasks

Tool Use

AI models calling external functions and APIs

Automation

Eliminating repetitive tasks with tech

Workflow

A repeatable system for getting things done

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