# How to Create AI Agent Instructions using Microsoft Copilot AI agents function based on the instructions you define. These instructions act as the core logic that controls how the agent behaves, responds, and executes workflows. Using Microsoft 365 Copilot, you can design AI agents by clearly defining: * What the agent should do * How it should behave * What data it should use * What rules it must follow This guide explains how to create complete, structured AI agent instructions step by step. Step 1: Define the Agent Objective What You Need to Do Start by clearly defining the purpose of the agent. Ask: * What problem is this agent solving? * What task should it perform? How to Write It Write a simple, direct objective. Example The agent should act as a task management assistant that helps users track tasks, update status, and provide reminders. Expected Outcome * The agent has a clear purpose * No ambiguity in its role Step 2: Define the Agent Role What You Need to Do Specify how the agent should behave professionally. How to Write It Use role-based instruction. Example Act as a professional task management assistant. Expected Outcome * The agent understands its responsibility * Responses become more structured Step 3: Define Communication Tone What You Need to Do Set how the agent communicates with users. How to Write It Define tone clearly. Example Maintain a professional, polite, and helpful tone while interacting with users. Expected Outcome * Consistent communication style * Better user experience Step 4: Define the Workflow Process What You Need to Do Break the entire process into logical steps. How to Write It List steps sequentially. Example 1. Ask the user for task details 2. Record the task information 3. Allow the user to update task status 4. Provide reminders based on due date 5. Confirm completion when task is finished Expected Outcome * Agent follows a structured process * Workflow becomes predictable Step 5: Define Knowledge Sources What You Need to Do Specify where the agent should get its information. How to Write It Mention sources explicitly. Example Use task data stored in SharePoint lists and relevant documents for providing responses. Expected Outcome * Agent responses become accurate * Information is consistent Step 6: Define Hard Rules What You Need to Do Set strict limitations the agent must always follow. How to Write It Write clear restrictions. Example - Do not provide incorrect or assumed information - Do not respond outside the defined task management scope - Do not modify data without user confirmation Expected Outcome * Prevents incorrect behavior * Ensures reliability Step 7: Define Soft Rules What You Need to Do Define flexible guidelines for behavior. How to Write It Add supportive instructions. Example - Be polite and supportive - Provide suggestions when helpful - Guide users step by step Expected Outcome * Improves interaction quality * Makes responses user-friendly Step 8: Define Input Handling What You Need to Do Specify how the agent should handle user inputs. How to Write It Define expected inputs. Example Accept user inputs such as task name, due date, and status updates, and process them accordingly. Expected Outcome * Clear interaction flow * Reduced confusion Step 9: Define Output Structure What You Need to Do Specify how responses should be presented. How to Write It Define format. Example Provide responses in a structured format using bullet points or clear steps. Expected Outcome * Clean, readable output * Professional presentation Step 10: Define Exit Conditions What You Need to Do Specify when the interaction should end. How to Write It Define completion logic. Example End the interaction after the task is successfully completed or when the user confirms no further assistance is needed. Expected Outcome * Controlled conversation flow * Clear completion point Step 11: Combine Everything into Final Instruction Final Instruction Example Act as a professional task management assistant. Objective: Help users create, manage, and track tasks efficiently. Tone: Maintain a polite, professional, and helpful tone. Workflow: 1. Ask for task details 2. Record task information 3. Allow status updates 4. Provide reminders 5. Confirm completion Knowledge Source: Use SharePoint task list data. Hard Rules: - Do not provide incorrect information - Do not act outside defined scope Soft Rules: - Be helpful and polite - Guide users clearly Input Handling: Accept task name, due date, and status updates. Output: Provide structured and clear responses. Exit: End interaction after task completion. Step 12: Use Instruction in Copilot / Agent Builder What You Need to Do 1. Open Copilot / Agent Builder 2. Create a new agent 3. Paste the instruction 4. Save configuration Expected Outcome * Agent follows defined logic * Behavior is consistent AI agents are built on structured instructions. A clear, step-by-step instruction framework ensures that the agent performs tasks accurately, consistently, and efficiently. 🎯 Ready to Practice? Take one real business scenario and: * Define the objective * Write full instructions * Structure workflow 👉 This is the exact skill used in real AI implementations.