🚀 What is Prompt Flow in Copilot? (With Example)

Introduction

With the rise of Copilot Studio and Azure AI Studio, developers and business users are building intelligent copilots. But one big question is — how do these copilots understand complex tasks?

That’s where Prompt Flow comes in.

Think of Prompt Flow as a workflow for large language models (LLMs). It orchestrates multiple prompts, tools, and logic together, so your AI assistant doesn't just respond like ChatGPT, but behaves more like a real smart application.

💡 What is Prompt Flow?

A Prompt Flow is a visual and logical representation of how prompts, inputs, and outputs flow within your AI application.

📌 It’s like building a logic app or Power Automate flow — but here, your actions are prompt nodes, tool calls, and language model responses.

🏗️ Key Components

Prompt Nodes – Prompts that talk to the LLM (like GPT-4).
Tools – External APIs or functions (e.g., calling a weather API, calculator, etc.)
Inputs/Outputs – Flow variables that carry user data across nodes.
Conditional Logic – If-else kind of rules to change flow behavior.

🧪 Example: "Build a Resume Assistant Copilot"

Let’s say you're building a Resume Assistant Copilot to help freshers format resumes.

🌐 Scenario:

User types:

"I am a software developer with 2 years of experience in C# and .NET. Make my resume summary."

🔁 Here's How Prompt Flow Works:

User Input → Preprocessing Node → Resume Summary Prompt → Response Output

🔹 Step-by-Step in Prompt Flow:

Input Node
Takes user input (like resume details).

Preprocessing Prompt Node
A small LLM prompt:

Extract name, experience, and technologies from the following user input:
{user_input}

Main Prompt Node
Another LLM prompt using extracted data:

Create a professional resume summary for someone named {name} with {experience} and skills in {technologies}.

Output Node
Shows the final AI-generated resume summary.

✅ Output Example:

🧾 Generated Summary:
A passionate software developer with 2 years of hands-on experience in building .NET applications using C#. Skilled in backend development, debugging, and collaborative Agile projects.