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🎉 Congratulations on Reaching the Module 2 Submission!

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 Module 2 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.

📋 Technical Requirements

Required Components:

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.)

Optional Enhancements:

• Human-in-the-loop interactions
• Use of communication protocol such as MCP
• Formal evaluation metrics and benchmarking against baselines

For more information on Module 2 project requirements, see here.

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🚀 Step-by-Step Submission Process

Before You Begin

Make sure you’ve done the following:

1. Have a Ready Tensor account – If you’re not already registered, sign up here.

2. Be enrolled in the program – If you haven’t joined yet:

   • Go to the Certifications page
   • Click “Join Now” near the top (next to the page title)
   • You’ll be enrolled immediately.
     (If you don’t see the Join Now link, you’re already enrolled.)

Step 1: Create Your Publication

The **team lead** creates a new publication on the Ready Tensor platform describing your multi-agent system project. Use the team lead’s personal hub for the publication.

⚠️ Create the publication in the team lead's personal hub (not in the hub named `Ready Tensor Certifications`).

Step 2: Select the Module

In the Create Publication form, choose the correct Module from the dropdown (i.e., AAIDC - Module 2 for this project).

• If you don’t see the dropdown, you’re not enrolled — see the instruction on how to enroll above.

Step 3: Add Co-Authors

Include all teammates as co-authors. The team lead will be listed as the first author.

Step 4: Link Your Code Repository

Upload your GitHub repository URL in the "Code" section of the publication. Ensure your repository contains all code, configurations, and documentation needed to run the multi-agent system.

Step 5: Follow Best Practices

Adhere to Ready Tensor’s best practices for AI/ML project documentation and code repository management.

Step 6: Upload Supplementary Files

Optionally upload any additional files (e.g., diagrams, datasets, documentation) that support your submission.

Step 7: Final Review and Submit

Complete your submission before the deadline. Including a video demo of your multi-agent system is highly recommended to showcase its functionality and improve your portfolio.

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📝 Publication Requirements Checklist

• Published on Ready Tensor platform
• Correct Module selected in the dropdown (i.e., AAIDC - Module 2)
• Created by the team lead
• All teammates added as co-authors
• GitHub repository linked under the "Code" section
• Repository follows AI/ML best practices
• Documentation clearly explains system design, agent roles, communication, and orchestration

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💻 Code Repository Requirements

• Follow AI/ML code development best practices
• Ensure the code is reproducible and runnable locally by evaluators
• Provide clear setup instructions, sample inputs, and expected outputs
• Securely handle API keys and sensitive data using .env and .env_example files
• Aim to score 70% or higher on the repository evaluation rubric

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🔍 Evaluation Process

• Review of your Ready Tensor publication
• Cloning and local execution of your GitHub repository
• Testing of multi-agent communication, memory sharing, and LangGraph orchestration
• Assessment against technical and documentation rubrics
• Feedback and certification status provided

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💡 Key Reminders

• Module selection is mandatory: Pick AAIDC - Module 2 from the dropdown when creating your project.
• Team lead submits: Only the team lead creates the publication
• Code must run: Ensure your repository is fully functional and reproducible
• Meet quality standards: Both publication and code must meet minimum quality thresholds

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📚 Additional Resources

• Repository Best Practices Guide
• Technical Publication Rubric
• Ready Tensor Publication Best Practices

Good luck with your Module 2 submission! We look forward to reviewing your innovative multi-agent system.

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⬅️ Previous - A3 System Evaluation - Case Study
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