Building My First AI Cyber Guardian Agent: Reflections from the Google x Kaggle Intensive
Source: Dev.to
This is a submission for the Google AI Agents Writing Challenge: Learning Reflections
Hi, I’m Arulmozhi M, a first‑year B.Tech CSE student specializing in Cyber Security at SRM University. I’m deeply interested in cybersecurity, AI, and building practical tools that make the digital world safer for everyone. Participating in the Google AI Agents Intensive with Kaggle has been one of the most transformative learning experiences of my academic journey. I joined the program with curiosity, and walked away with clarity, confidence, and a fully working AI agent that I built from scratch.
🚀 Why I Joined
As someone passionate about cybersecurity, I’ve always wanted to build tools that help people stay safe online. When I saw this intensive, I knew it was the perfect opportunity to learn how AI agents actually work — not just in theory, but in real, hands‑on ways.
🧠 What I Learned
The biggest shift for me was understanding that AI agents are not just chatbots. They are structured systems with:
- Main agents
- Sub‑agents
- Tools
- Workflows
- Policies and reasoning steps
Key concepts that clicked:
- ✅ Modular agent design
- ✅ Tool‑calling and workflows
- ✅ Building responsibly with user trust
- ✅ Turning ideas into working prototypes
🛡️ What I Built: AI Cyber Guardian Agent
For my capstone project, I built an agent designed to educate, protect, and empower users in cyberspace — especially beginners who may not understand digital risks.
Agent Features
- Q&A Sub‑Agent – Answers common cyber safety questions
- Password Strength Checker – Evaluates passwords with clear feedback
- Password Generator – Creates strong, policy‑based passwords
- Privacy Coach – Tips for Wi‑Fi, UPI, Aadhaar, and more
- Quiz Engine – India‑specific cyber safety questions
- Visualization – Shows brute‑force resistance of passwords
🔧 Challenges I Faced
- Structuring multiple sub‑agents
- Managing dependencies in Kaggle
- Designing a clean workflow
- Making responses beginner‑friendly
Each challenge taught me something new, and the community, examples, and course materials helped me push through.
🌱 How This Changed Me
Before this intensive, AI felt like a huge, complicated world. Now, it feels like a tool I can use, not something I’m intimidated by.
I learned:
- How to think like an AI engineer
- How to design systems, not just code
- How to build responsibly
- How to turn ideas into working prototypes
Most importantly, I gained confidence that I can build real AI tools—even as a first‑year student.
💬 Final Thoughts
I’m grateful to Google, Kaggle, and the entire community for making this experience accessible, practical, and inspiring. This intensive didn’t just teach me AI—it opened a door to a future I’m excited to explore.