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AI glossary

AI Workflow

An AI workflow is a connected sequence of steps that completes a task from start to finish, with artificial intelligence handling one or more of those steps.

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In this guide

  1. 1What AI Workflow means
  2. 2Why AI Workflow matters

What AI Workflow means

A workflow is simply the chain of steps needed to get something done. An AI workflow places AI inside that chain - to read, write, decide, or sort - while other steps move data between apps.

For example, a content workflow might start when an idea is added to a list, then have AI draft an article, then format it, then send it for review. Each step feeds the next, and AI does the heavy thinking in the middle.

Why AI Workflow matters

Thinking in workflows is how you turn AI from a chat tool into a system that runs real work. It is the practical mindset behind every useful automation.

Workflows connect AI to your real apps and daily tasks
Mapping a workflow makes it clear what to automate first
Well-designed workflows save time reliably, day after day
Building them is a core skill in hands-on AI training

Frequently asked questions

An AI workflow usually follows a planned sequence of steps you design. An AI agent has more freedom to decide its own steps. In practice, many automations combine both approaches.

More AI terms

Multimodal AIAI that can understand and work with more than one type of input, such as text, images, and audio together.Computer VisionA field of AI that lets computers interpret and understand images and video the way people see them.Large Language ModelAn AI model trained on huge amounts of text to understand and generate human language.Machine LearningA branch of AI where computers learn patterns from data instead of being given fixed, explicit rules.Deep LearningA type of machine learning that uses layered neural networks to learn complex patterns from large data.Neural NetworkA computing system loosely modeled on the brain, made of connected nodes that learn patterns from data.

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