I run production systems for a living and build small businesses on the side. Most of what I make these days has AI somewhere in the loop — as a co-author, a co-developer, or the thing I'm operating in production. East Texas.
Production experience deploying and operating LLM-based agents at enterprise scale. SRE discipline applied to non-deterministic systems — observability, failure modes, rollback paths, cost discipline.
Five live web properties built with AI as a co-developer. Content pipelines, programmatic SEO, embedded LLM tooling, and the unglamorous plumbing that turns a model into a product.
Notes on operating AI in the real world — what breaks, what doesn't, and where the SRE discipline does and doesn't transfer. (Writing surface coming soon.)
An editorial site for people on GLP-1 medications, monetized through Amazon Associates and on its way toward sponsorship. Built on WordPress with an AI-assisted content pipeline — Claude in the loop for research, drafting, citation verification, image production, and SEO optimization. Pinterest is the primary distribution channel; the visual system was designed end-to-end from prompt to pin.
HTS classification, risk analysis, and action plans in 30 seconds for small importers who can't justify a five-thousand-a-month enterprise tool or a 300-an-hour customs broker. LLM-backed, Stripe-monetized, paired with a Beehiiv newsletter for habit-forming touchpoints. The product is — honestly — what a good first answer from a good AI looks like, packaged so a non-technical operator can actually use it.
A state-by-state matrix of benefits eligibility (SNAP, Medicaid, unemployment, and more), generated and maintained through a templated pipeline rather than hand-written page by page. One template, scripted AI assistance, dozens of pages — the kind of programmatic content surface that makes sense when the underlying data is structured but the audience needs prose.
Two lightweight, legal-adjacent reference tools. Statute-of-limitations lookup by state and claim type; child-support calculators by state with formula transparency. AdSense-monetized, fast, and built to look like real publications rather than scraper farms — same editorial discipline as the bigger sites, smaller surface area.
AI is a co-author and a co-developer, not autopilot. The things I ship are reviewed, sourced, and fact-checked before they go out — outbound citations get verified against the actual source, not pulled from memory, because the model is confident even when it's wrong and the only fix is a human checking.
The system around the model matters more than the model. I keep persistent context files, named lessons, structured session protocols, and a daily log that survives across conversations. Most of what looks like “the AI did this” is really the scaffolding I built around it.
SRE discipline transfers. Observability, blast-radius thinking, rollback paths, cost discipline, postmortems — the same operating habits that keep production systems from cratering also keep AI systems from quietly drifting into nonsense.
Best reached by email: hello@byron-walker.com.