🛍️ Builder Pack #1 – Multi Agent ADK, A2A, MCP (Notion, ElevenLabs) & Streamlit

🛍️ Builder Pack #1 – Multi Agent ADK, A2A, MCP (Notion, ElevenLabs) & Streamlit

The complete source code and BONUS developer assets behind my ADK + A2A crash course — built using Google’s latest tools (June 2025).

The shortcut I wish I had when I begun...
Learn how to actually build modular AI agents using Google’s Agent Development Kit, Agent2Agent protocol, ElevenLabs, and Notion — with a clean Streamlit UI and full pytest test suite. Now updated with a Reddit agent.

🧠 Why This Exists

AI development is moving fast, most tutorials show toy agents/tools, or are not up-to-date.
Few show how to build real systems — with modular architecture, production-ready patterns, and actual working integrations.

So I spent weeks rebuilding Google’s ADK and A2A stack from the ground up.
Then I taught it in a 90-minute crash course, and this is what people have to say...

"This video help me so much. Huge thanks."
"Finally we got it"
"Awesome content!!! Thanks a lot!"

This Builder Pack gives you everything under the hood.

✅ What’s Inside (Only in This Pack)

⚠️ This is not the YouTube source code.
This is the full system — updated, documented, and extended.

• 🧱 Full modular codebase: ADK agents, A2A communication, MCP tools (Notion + ElevenLabs, Reddit)
• 🧪 Real integration tests: Pytest suite covering every agent + A2A flow
• 🧠 Architecture Cheatsheet (PDF + .md): Internal workflows, memory logic, agent orchestration
• ⚙️ Cursor IDE .cursorrules: Scaffold new agents the right way — instantly
• 📘 Full crash course write-up: With dev notes, lesson plan, and system overview

🆕 New Update (June 2025)

Buy once — get ongoing value.

✅ Upgraded to ADK 1.4.1
✅ Added new RedditAgent (with A2A + Streamlit UI)
✅ Updated test suite, Cursor rules, lesson docs

💡 What You’ll Learn By Building

• How to structure multi-agent systems using ADK + A2A
• How to integrate real-world tools (Notion, ElevenLabs, Reddit)
• How to design for extensibility, testing, and modularity
• How to go beyond “Hello World” agents and build toward production

🎯 Who This Is For

• AI developers who want to master the Google ADK stack
• Builders tired of copy-pasting broken code
• Engineers who want a repeatable pattern for agent-based systems

📜 License

MIT — use freely in personal or commercial projects.
Provided as-is. No support or guarantees.

🔥 Skip the guesswork. Build smarter, faster.

Download the Builder Pack and get the system, structure, and shortcuts behind the crash course.