AutoGen is a Python library developed by Microsoft that enables multiple AI agents to work together in a conversation, solve tasks collaboratively, and simulate real-world teamwork—like ChatGPT bots forming a project group!
AutoGen helps you create AI-powered teams that can communicate with each other to complete complex tasks.
It’s like forming a group of digital friends:
- One friend does research 🧠
- One writes content ✍️
- One manages your budget 💰
- And one gives final approval ✅
AutoGen makes them talk, think, and work just like a team would in real life.
| Principle | Explanation |
|---|---|
| Multi-Agent Collaboration | AI agents specialize in different roles and collaborate. |
| Conversational Programming | Agents "talk" to each other by passing messages. |
| Modularity | You can mix and match agents as per the task. |
| Human-in-the-Loop | You (the user) can step in to guide decisions. |
| Reusability | Agent workflows can be reused for other problems. |
- Create Agents: Define each agent with a role and function.
- Set the Goal: Tell them what to achieve.
- Let Them Talk: Agents have a conversation to share insights.
- Review Results: Get the final solution/output from the agents.
Imagine you're organizing a school event:
- 🎤
Host Agent: Decides who will speak. - 💡
Planner Agent: Schedules everything. - 💰
Finance Agent: Ensures it stays under budget. - 🧹
Cleanup Agent: Handles post-event cleanup.
They all chat, ask questions, and collaborate. AutoGen allows AI agents to do the same, but digitally!
Scenario: A startup makes a cool water bottle for kids aged 6–16. They have a $2000 marketing budget.
Here’s how AutoGen agents help:
| Agent Name | Task |
|---|---|
📊 Marketing Analyst |
Recommends social platforms like Instagram, YouTube |
✍️ Content Writer |
Writes catchy slogans |
💸 Budget Planner |
Ensures the plan fits in $2000 |
✅ Final Reviewer |
Checks everything and submits |
They keep talking and refining until they generate the best marketing plan.
| Domain | Use Case |
|---|---|
| 🏥 Healthcare | AI agents summarize patient records and suggest treatments |
| 📢 Marketing | Auto-generate ad plans, content, and budgets |
| 🏦 Finance | Create investment reports and risk assessments |
| 🧪 Research | Review academic papers, extract insights |
| 🧑🏫 Education | Generate quizzes, study materials, and presentations |
- 🐍 Python 3.10+
- 🤖 OpenAI (ChatGPT / GPT-4)
- 💬 AutoGen Library
- 📓 Jupyter Notebook
This project demonstrates an AI-powered Agentic System using AutoGen to help a startup market its lightweight water bottle. It simulates how intelligent agents can work together in a sequential conversation to make marketing decisions based on a limited budget.
A startup developed a lightweight water bottle for school kids aged 6–16.
Your task as a marketing associate is to:
- Identify the most effective marketing channels
- Craft compelling marketing content
- Work within a $2000 budget
💡 You’ll build a digital AI team to help you do this.
| Topic | Meaning in Simple Terms |
|---|---|
| Agentic System | A group of AI bots (agents) that act like a team to solve tasks together. |
| Sequential Chat | Each AI agent talks and passes info to the next one, like a team huddle. |
| AutoGen | A tool that helps you build and control these agents easily in Python. |
| Budget Optimization | Ensuring marketing ideas stay under the $2000 limit. |
Python🐍AutoGenfor creating AI agentsOpenAI APIfor powering agent conversationsJupyter Notebookfor demonstration and testing
- Python 3.10 or above
- Jupyter Notebook
- OpenAI API Key
git clone https://github.com/yourusername/AutoGen_Agentic_Marketing.git
cd AutoGen_Agentic_Marketing
pip install -r requirements.txtgit clone https://github.com/yourusername/autogen-intro.git
cd autogen-intro
pip install -r requirements.txt
jupyter notebook AutoGen_Intro.ipynb