I’m excited to announce a new series: AI Agents Explained.

Why This Series?

AI agents are changing how we build software. From Career Brief (my interview prep tool) to countless other applications, I’ve been deep in the trenches building with AI agents. This series is my way of sharing what I’ve learned.

What We’ll Cover

This series will explore both the technical foundations and real-world applications of agentic systems:

Technical Foundations

• How AI agents work under the hood
• System design patterns for agentic applications
• Prompt engineering for agent behaviors
• Tool use and function calling
• Memory and context management

Real-World Applications

• Building tools like Career Brief
• Integrating AI into existing workflows
• Handling edge cases and failures
• Scaling agentic systems

Who Is This For?

Whether you’re a developer curious about AI agents, a product person exploring what’s possible, or just someone interested in where technology is heading, this series is for you.

The Approach

I believe in learning by doing. Each post will include:

• Clear explanations of concepts
• Real code examples when relevant
• Lessons from building actual products
• Honest takes on what works and what doesn’t

What’s Next

The first technical post in this series covers the modalities of agentic systems—the different ways AI agents can interface with users. It’s a foundational concept that shapes how we design AI-powered experiences.

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Follow along as I explore the world of AI agents. Subscribe to get notified when new posts drop.