Agent-Architecture

Most AI agent governance advice targets boards, not builders. Three failure patterns, real TypeScript examples, and what a CTO should do Monday morning.

Logs tell you what happened. Traces tell you why. The three layers of agent observability, and where silent failures actually live.

Most teams evaluate AI agents by vibes. Here are the four layers of evals you actually need to ship agents with confidence.

What happens when you wire an AI agent directly into your Obsidian vault? Here's the setup I use to turn notes into real leverage.

A practical guide to building an AI agent with Mastra that researches contacts, schedules follow-ups, integrates with Slack, and uses layered memory.

Learn to build your own AI agent that actually does work for you, not just answers questions.

How do AI agents remember things between sessions? Every agent forgets everything when a conversation ends, so how do the best ones seem to know you?

OpenClaw agent architecture explained: How autonomous AI agents like ClawdBot create the illusion of sentience using just inputs, queues, and a loop.