Path 01 · 3 pieces · 31 minutes
Understand the system
Most agent problems are misread as model problems. This path names the layers first, so that when something fails you can say which layer failed.
In order
The sequence, and why each step follows the last.
01Beyond the Prompt: The Agent System Stack ExplainedFoundational guide912m
Context, tools, memory, harnesses, loops, and evals are different layers of an AI agent system. Here is how they fit together—and why the model alone does not decide whether an agent works.
02AI Agents, Explained: The Loop Behind the LabelFoundational guide39mA beginner-friendly map of what makes a system agentic, how the model–tool loop works, and when a simpler workflow is the better design.
03How Tool-Using AI Agents Work: A Weather Assistant, Step by StepPractical explainer510mFollow one tool call from a user request to a validated result, then see what changes when an agent can take actions instead of only reading data.