Building AI Agents
Patterns, architectures, and APIs for production agents.
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AI Agent Orchestration: The Job Is Mostly Knowing When to Stop
AI agent orchestration coordinates agents through one control loop. Learn the patterns, the termination problem, and what to instrument before you scale.
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Claude Agent Framework: Which Layer of the Stack Do You Need?
The Claude agent framework spans the API, Agent SDK, Claude Code, and Managed Agents. See what each layer gives you and where the framework stops.
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Agentic Architecture: Choose Patterns by How They Fail
Agentic architecture explained: the four multi agent architecture patterns, when a single agent wins, and how to contain coordination failures.
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Agentic Workflows: The Patterns, and Why They Break in Production
Agentic workflows chain LLM steps to finish a task. Learn the core patterns, the compounding-error math, and when a deterministic workflow beats an agent.
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Agent API Design: Designing Tool APIs That Survive Production
How to design tool and function-calling APIs for AI agents that survive production: cross-provider schema drift, error payloads, streaming, and context cost.
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AI Agent Design Patterns (and the Way Each One Breaks in Production)
The core AI agent patterns, what each one does, and the specific way each fails in production, with the reliability control that keeps it working.