Personal site
Public proof artifact.
Built and maintained with agent workflows: planning, coding, copy editing, path checks, local verification, and deployment support.
AI agents · continuous engineering · personal operating system
AI Operating System
How I use agents for continuous engineering and continuous improvement.
The site itself is a proof artifact. I use an agent workflow to plan changes, edit code, publish field notes, verify deployments, maintain a private research memory bank, and continuously improve how my work is presented. The point is not AI theatre; it is compounding operating leverage.
01
Components.
Field notes
Private research → public essays.
Research notes become field notes only after synthesis, public-safety review, and a clearer thesis spine.
Hermes
Coding and review loops.
Used for static-site edits, research-page wiring, verification commands, and repeatable implementation checklists.
Goalie
Bigger goals, shorter loops.
A private goal and operating cadence that turns ambition into shorter feedback loops and durable artifacts.
02
What this proves.
Not generic AI enthusiasm.
The useful question is not whether an agent can perform a demo task. It is whether a person or team can turn agents, context, controls, and review loops into a better operating system.
- Practical AI adoption: real files, real pages, real verification, real iteration.
- Continuous improvement mindset: the workflow is designed to compound.
- Ability to turn tools into systems, not one-off productivity hacks.
- A useful pattern for investment, venture, and founder-office teams evaluating AI adoption.
- Concrete examples: this website, public field notes, private research memory, deployment checks, and reusable agent instructions.
Publication guardrail
This page intentionally does not expose private memory-bank contents, raw personal notes, internal goal files, or sensitive research details. It describes the operating pattern and public artifacts only.
Next proof.
The Proof Index connects this workflow back to operating evidence, field notes, and case studies.