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Here's everything you need to know to complete your project and submit successfully.
In this project, you'll apply everything you've learned in Mastering AI Agents program to build a Multi-Agent System. Your submission should demonstrate your ability to design and implement a modular, composable team of agents that can collaborate effectively to solve a problem.
1. Multi-Agent System (minimum 3 agents)
- At least 3 agents with distinct roles working together
- Clear communication or coordination between agents
- Use an orchestration framework (LangGraph, CrewAI, AutoGen, or similar)
2. Tool Integration
- Your system should integrate at least 3 different tools
- Tools can be built-in (LangChain tools) or custom implementations
- Tools should extend capabilities beyond basic LLM responses (e.g., web search, math calculations, file processing, API calls, etc.)
For more information on Mastering AI Agents project requirements, see here.
Your Mastering AI Agents project will be reviewed in the month that matches your submission date. Submit your project by any one of the following deadlines:
🔴 January 05, 2026,11:59 PM UTC
🔴 February 02, 2026, 11:59 PM UTC
🔴 March 02, 2026, 11:59 PM UTC
🔴 April 06, 2026, 11:59 PM UTC
🔴 May 04, 2026, 11:59 PM UTC
If you miss a date, just submit before the next one — your project will be reviewed in that month's review cycle.
Have a Ready Tensor account – If you’re not already registered, sign up here.
Be enrolled in the program – If you haven’t joined yet:
⚠️ Create the publication in the team lead's personal hub (not in the hub named `Ready Tensor Certifications`).
In the Create Publication form, choose the correct program from the dropdown (i.e., Multi-Agent System for this project).
You are encouraged to include a video demo of your app in your publication to enhance clarity and showcase your work more effectively. While not required, this is strongly recommended as videos serve as valuable portfolio additions. Record your application's workflow, optionally include a brief presentation, upload to YouTube, and attach the link to your Ready Tensor publication to improve readability and overall impact.
.env and .env_example filesPlease ensure that API keys and other sensitive information are not exposed in your main GitHub repository or shared publicly. Instead, store such data in a .env file and make sure it is included in your .gitignore to prevent accidental uploads. For reproducibility, you should provide a .env_example file that outlines the required environment variables without revealing any real values. This practice helps maintain security while allowing others to understand how to set up the project properly. Thank you for following secure development practices.
Multi-Agent System from the dropdown when creating your project.For questions or technical support, reach out to the Ready Tensor team on Discord. We are here to help you succeed!
Good luck with your Mastering AI Agents submission! We look forward to reviewing your innovative multi-agent system.
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