Hands On AI Agent Mastery Course

Building a Simple Agent

Today’s Build

We’re constructing a production-ready autonomous agent that demonstrates:

• Goal-driven behavior: Agent pursues objectives across conversation turns, adapting tactics when blocked

• Persistent memory integration: Leverages L9’s dual-tier memory (conversational dict + file-based long-term storage)

• Self-reflection loops: Evaluates its own progress, detects failure patterns, adjusts approach autonomously

• Observable decision-making: Exposes internal reasoning for debugging production agent behavior

• Foundation for structured reasoning: Establishes agent loop patterns that L11’s Chain-of-Thought will enhance

Building directly on L9’s memory primitives, we now add the agency layer—the control loop that transforms static memory into adaptive behavior.