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Aditya Kumar
Aditya Kumar

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From Prompts to Autonomous Systems: My Learning Journey in the AI Agents Intensive

This is a submission for the Google AI Agents Writing Challenge.

My Learning Journey Through the 5-Day Google × Kaggle AI Agents Intensive

Before joining this course, I mostly viewed AI as a system that receives a prompt and returns an answer. Over five days, my thinking shifted toward seeing AI as goal-driven, autonomous and capable of acting over time — not just responding once.

🌟 Key Ideas That Resonated With Me

Here are the concepts that had the biggest impact on me:

  • Agents don’t just answer — they plan and take action.
  • Tool-use expands the capabilities of AI beyond text generation.
  • Memory matters. Long-term and short-term memory enable agents to adapt and improve.
  • Multiple agents can collaborate to solve complex tasks more effectively than a single model.

These ideas helped me understand why agents represent the next step beyond traditional prompt-response AI.

🔁 How My Understanding of AI Evolved

The program gave me a mental model for designing agents:

Goal → Plan → Act → Observe → Improve

Instead of thinking about "better prompts", I now think about:

  • What is the agent’s objective?
  • What tools can it use?
  • How does it evaluate its own progress?
  • How can memory shape behaviour over time?

This mindset shift was the biggest takeaway for me.

🧪 Capstone Project: Smart Study Agent

For the final challenge, I built an agent that helps students plan topics, track study progress and generate quizzes for revision. The agent behaves like a personal study partner instead of a one-time chatbot. Implementing this reinforced my understanding of:

  • Creating the agent loop
  • Designing clear tasks and roles
  • Persisting memory for long-term use

It was a simple project, but it helped me apply agentic thinking to a real workflow.

🚀 Final Reflections

The course gave me the confidence to design systems where AI takes initiative rather than waiting for instructions. I’m excited to continue exploring:

  • Multi-agent collaboration
  • Self-evaluating agents
  • Memory-augmented agents
  • Real-world APIs and tool integrations

Agentic AI feels like a preview of the future, and I’m glad I took the first step through this intensive.


Thank you to Google, Kaggle and the community for the opportunity and resources. 🙌

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Aditya Kumar

Thanks for the opportunity