Building Smarter Systems: Understanding AI Agents from Scratch

A Generative AI agent is an application designed to achieve specific goals by observing its environment and taking actions using the tools at its disposal. These agents operate autonomously and can function independently without human intervention, particularly when given clear objectives. They are also capable of proactively pursuing their goals, reasoning about the next steps to take, even without explicit human instructions, to fulfill their intended purpose.

Key Takeaways:

• Gain an understanding of AI Agents and their importance.
• Explore the inner workings and core concepts of AI Agents in detail.
• Learn about frameworks for building AI Agents.
• Review code walkthroughs showcasing compelling use cases of AI Agents.

Sarvagya Agrawal is a Software Engineer at American Express, working at the intersection of AI, NLP, and agentic systems.

He has led multiple AI initiatives across anomaly detection, accessibility, and intelligent automation, and actively contributes to the AI community through technical writing and global talks. His interests include building next-generation AI agents, scalable ML systems, and decision-centric AI architectures.