March 4, 2026

Case Study: How This Site Was Built

This site is itself a case study in what's possible when you have a well-structured AI operating system. The design, build system, content, newsletter infrastructure, DNS configuration, and deployment were produced as one connected workflow rather than a series of disconnected handoffs.

Here's how it happened.

Step 1: Write the Spec (Before Work)

I wrote a detailed specification document describing what I wanted: a clean, minimal site documenting my AI setup, with specific pages covering the Constitution, OpenClaw, development workflow, infrastructure, and practical tips. I described the tone, the audience, and the goal — not a tutorial, but a detailed look at a working system that others could adapt.

This is the part that only a human can do well. I know what I want to communicate, who I'm talking to, and why. The AI doesn't have that context until I articulate it.

Step 2: Hand It Off

I gave the spec to Claude Code and asked it to design an information architecture, then build the site. Crucially, Claude Code already had access to everything it needed:

The Constitution — the hierarchy of rules and context files that define how my AI tools work. Part of that constitution requires the AI to maintain detailed logs of everything we do together and why. Those accumulated logs — months of decisions, experiments, and rationale — were the raw material that made a retrospective like this possible to produce.
Operational access — SSH keys, DNS management via Cloudflare API, the deployment server, and the newsletter system. It could not only write the site, but deploy it, configure DNS records, set up email infrastructure, and verify everything worked.
My preferences — from the identity and memory files, it knew my communication style, technical preferences (Python, minimal frameworks), and how I like things structured.

Step 3: Produce a Working Site

The first complete pass was a live site: a Python build script converting markdown to static HTML, a sidebar navigation layout, favicon and Open Graph images generated from the logo, and content across the planned pages drawn from the Constitution's own documentation.

It wasn't perfect — it never is on the first pass. But it was working. Deployed, accessible, with real content.

Step 4: Collaborate and Refine

I reviewed, edited, and collaborated with the AI to refine things:

Content edits — adjusting tone, removing details my family didn't want published, updating timelines and descriptions to be more accurate
Information architecture — reorganizing pages, splitting tips from prompting insights, adding section groupings to the navigation
Infrastructure — setting up the newsletter system, adding a subscribe form, configuring the custom domain and email authentication
New content — a case study page, a journal section with RSS feed, prompting insights

Each of these was a conversation. I'd say what I wanted, the AI would implement it, I'd review and adjust. The feedback loop was minutes, not hours.

What Made This Possible

This wasn't a party trick. It worked because of the system already in place:

The Constitution gave the AI deep context. It didn't need to ask me what OpenClaw is, how the credential system works, or where things are deployed. It already knew.
Operational access let it execute end-to-end. Writing content is easy. Configuring DNS records, creating newsletter infrastructure, deploying via SCP, verifying email deliverability — that's where most human time goes. The AI handled all of it.
The specification was clear. I spent real time writing a good spec. The better the input, the less iteration required.
The feedback loop was fast. When something wasn't right, I could say "this looks terrible" or "my wife doesn't want to be mentioned" and the AI would fix it immediately. No tickets, no waiting, no context switching.

What Was Produced

Pages created: 11 content pages + journal
Infrastructure configured: DNS records, email (Fastmail + SES), newsletter system, analytics, deployment pipeline
Framework used: None — a small Python build script, markdown files, and one HTML template

The site you're reading right now is the result. And this journal entry was written collaboratively too.

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