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Now, its time to apply what you have learned about agentic AI—reasoning, planning, memory, and learning—to create your own simple AI agent.
Project Goal
Your task is to design a basic AI agent that acts as a personal assistant for managing daily tasks. Your agent will:
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Remember tasks you give it.
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Plan the best way to complete them.
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Learn and improve over time by noticing patterns in your behavior.
Step-by-Step Guide
Step 1 – Choose Your Agent’s Role
Clearly define your agent's role. Here are some simple options you can choose from:
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Daily Schedule Assistant: Helps organize your daily activities.
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Study Planner: Helps manage homework and studying schedules.
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Shopping Helper: Manages grocery lists and shopping routines.
Pick one simple role you find interesting.
Step 2 – Create a Goal for Your Agent
Clearly state your agent's goal. For example:
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"Help organize my daily tasks efficiently."
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"Remind me about study sessions and breaks."
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"Help me manage my grocery list and budget."
Step 3 – Define the Agent's Tasks (Reasoning & Planning)
Write down clear tasks your agent will perform to reach its goal. For instance, if you chose a Daily Schedule Assistant:
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Collect tasks (appointments, meetings, classes, chores).
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Prioritize tasks based on time and importance.
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Suggest the best times for breaks or leisure activities.
Step 4 – Add Memory to Your Agent
Decide what your agent should remember. For example, your agent might:
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Store your daily routine or frequent tasks.
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Remember preferences, like preferred study times or grocery items.
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Track successful task completion methods.
Step 5 – Learning and Improving
Think about how your agent will learn from experiences:
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If a task scheduling didn’t work (you missed a meeting), the agent should adjust the plan next time.
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If you always buy the same groceries, the agent can automatically add those items each week.
Example Scenario
Here’s a quick example to illustrate clearly:
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Role: Grocery Shopping Assistant
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Goal: Manage grocery shopping efficiently
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Tasks:
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Remember regular grocery items.
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Plan shopping lists based on budget and dietary needs.
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Memory:
- Past shopping lists, favorite products, average spending.
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Learning:
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Notices you buy milk every week and automatically adds it.
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Learns that you prefer organic vegetables, so it prioritizes these choices.
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Reflection & Sharing
After designing your agent, ask yourself:
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Did you clearly define your agent’s goal?
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Is your agent able to reason and plan effectively?
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Does your agent have useful memory?
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Can your agent learn from past experiences?
Feel free to share your agent idea with a friend to get feedback or improve your design further.
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