Topics

A knowledge base for AI systems notes.

Topics organize what I am learning from agent systems, enterprise AI adoption, harness engineering, OpenClaw experiments, and AI leadership questions.

3 notes

Agent Systems

Notes on agent loops, memory, tool use, orchestration, session behavior, and OpenClaw architecture.

  • OpenClaw Concurrency Is Not Isolation
  • Agent Loops vs Agent Teams: Understanding Where Intelligence Actually Lives
  • Investigating Honcho Memory Architecture for OpenClaw

3 notes

Enterprise AI

Practical notes on AI platform architecture, governance, knowledge retrieval, runtime capabilities, and enterprise adoption constraints.

  • Skill-Defined Tools vs Runtime-Provided Tools in Enterprise Agent Platforms
  • Building SOP Retrieval for OpenClaw Skills Instead of Prompt-Stuffing
  • OpenClaw Permissions: Why Prompt Rules Are Not Enforcement

1 notes

Engineering Leadership

Reflections on AI adoption, organizational design, harness engineering, technical leadership, and how engineering work changes around AI.

  • Becoming AI-Native: Rethinking How Organizations Work