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Prompt Chaining for Beginners: 6 Multi-Step Workflows You Can Build Today

Srikanth by Srikanth
May 26, 2026
Reading Time: 1 min read
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Prompt chaining is

FAQs

What is prompt chaining?

Prompt chaining is a technique used in workflow automation to create multi-step workflows by linking together a series of prompts or user inputs. This allows for the creation of more complex and customizable workflows that can handle a variety of tasks.

How does prompt chaining work?

Prompt chaining works by using the output of one prompt as the input for the next prompt in the workflow. This allows for the sequential execution of multiple prompts, each building on the previous one, to create a multi-step workflow.

What are some examples of multi-step workflows using prompt chaining?

Some examples of multi-step workflows using prompt chaining include creating a customer onboarding process, setting up a project management workflow, creating a multi-step approval process, building a complex data entry form, and setting up a multi-step survey or questionnaire.

What are the benefits of using prompt chaining in workflow automation?

The benefits of using prompt chaining in workflow automation include the ability to create more complex and customizable workflows, the ability to handle a wider variety of tasks, the ability to streamline and automate repetitive processes, and the ability to improve efficiency and accuracy in task completion.

How can beginners get started with prompt chaining?

Beginners can get started with prompt chaining by using workflow automation tools that offer prompt chaining functionality, such as Microsoft Power Automate, Zapier, or Integromat. These tools often provide templates and tutorials to help beginners learn how to create multi-step workflows using prompt chaining.

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Srikanth

Srikanth

Srikanth is the founder of Promtaix, an AI prompt experience platform built on a single conviction: the way people interact with AI prompts has never been properly designed — and that needs to change.

With a background spanning product design, digital strategy, and AI tool development, Srikanth spent years watching teams struggle not because AI was incapable, but because the experience of prompting it was broken. Too technical for most users. Too inconsistent for professional teams. Too fragmented across models.

That frustration became the foundation of Promtaix — a platform that treats prompt writing as a user experience problem, not an engineering one. Srikanth's writing focuses on practical, tested approaches to getting better results from AI: how to write prompts that work first time, how to measure whether a prompt is actually performing, and how to build prompt workflows that hold up across ChatGPT, Claude, Gemini, and every major model.

His work is read by marketers, product managers, UX designers, and founders who want to use AI more effectively — without needing to become prompt engineers to do it.

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