Engineering notes from the edge of AI
Building the
systems behind intelligence.
Featured investigation / 001
Concurrency is
not isolation.
My investigation into why concurrent OpenClaw sessions can still compete for shared runtime resources.
An evolving body of work
Selected writing.
Experiments, architecture decisions, failures, and lessons from the work of building practical AI systems.
- Agent Systems
OpenClaw Concurrency Is Not Isolation
My investigation into why concurrent OpenClaw sessions can still compete for shared runtime resources.
3 min read - Enterprise AI
Skill-Defined Tools vs Runtime-Provided Tools in Enterprise Agent Platforms
A platform architecture note on why skills can describe tool usage, but runtimes must own executable capabilities.
3 min read - Enterprise AI
Building SOP Retrieval for OpenClaw Skills Instead of Prompt-Stuffing
A design note on separating OpenClaw skill workflow from SOP retrieval, search quality, and business policy ownership.
4 min read - Enterprise AI
OpenClaw Permissions: Why Prompt Rules Are Not Enforcement
An investigation into why prompts guide behavior but runtime approval systems are needed for real enforcement.
4 min read - Agent Systems
Agent Loops vs Agent Teams: Understanding Where Intelligence Actually Lives
A practical distinction between agent loops, agent teams, execution style, topology, and where orchestration should own control flow.
3 min read - Agent Systems
Investigating Honcho Memory Architecture for OpenClaw
Notes on Honcho representations, observe_me, memory quality, and how long-term memory should be applied in OpenClaw.
2 min read - Engineering Leadership
Becoming AI-Native: Rethinking How Organizations Work
A reflection on why AI adoption is less about tool access and more about organizational design, harness engineering, governance, and leadership judgment.
4 min read
Why this site exists
Learning in the open.
Most of the content on this site originates from research sessions, implementation work, architecture reviews, and experiments conducted while building AI systems. Rather than presenting final answers, I document investigations, evolving mental models, and lessons learned along the way.
Former frontend engineer and engineering lead. Currently exploring how AI changes software, organizations, and the way we build systems.
More about me ↗Current focus
- Enterprise AI Adoption
- Agent Systems
- Harness Engineering
- OpenClaw
- Knowledge Retrieval
- AI Governance
- Reliable Business Systems