A hands-on guide to building an AI Agent system: from directory layout and boot config to three-layer memory architecture and hook-based guardrails, seven steps to a working Agent workflow.

Design a complete AI Agent system architecture from the ground up, covering six layers: identity, memory, routing, gating, cross-platform, and safety. Understand what each layer solves and how they interconnect.

• The AI discovery guide now includes the Stroop Test
• A new NAD+ evidence guide leads with the 113-study PRISMA systematic review and distinguishes biological or biomarker activity from unestablished clinical benefits
• Researchers can now find all four practical AI workflow and configuration resources directly from the discovery guide

• Language alternates now point only to pages that actually exist, across desktop and mobile navigation
• Account and billing routes are excluded from search indexing and public sitemaps
• Research resources no longer send readers or crawlers to unpublished guides

AI Agent automation brings efficiency but also risk. This article shares 10 battle-tested safety baseline rules with Hook gatekeeper implementation concepts, helping you build an AI workflow that won't self-destruct.