Learn

10 patterns for building and operating AI agents. Free, no paywall.

01
Introduction
What AI agents are and why they matter
02
Identity & Trust
Agent identity verification and trust boundaries
03
Skills & Capabilities
Skills vs tools — what's the difference?
04
Communication
How agents talk to each other (and to you)
05
Tool Composition
Chaining, routing, and orchestrating tool calls
06
Memory & State
Persistent context across agent sessions
07
Pipelines
Multi-agent workflows and autonomous execution
08
Safety & Alignment
Guardrails, red teaming, and failure modes
09
Economics
Pricing, token economics, and value capture
10
Open Ecosystems
Standards, interoperability, and the future

Spotted something?

Suggest an improvement, report an error, or just say hi.