Problem
Important production work was still being done with slow, manual, or repetitive workflows.
Case Study
I built GPT-powered WordPress tools, Claude-based agent workflows, and live prototyping systems to improve content production, site analysis, development speed, and team adoption of AI-assisted work.
Result: faster production, useful internal tools, and broader team adoption of LLM-assisted workflows.
Important production work was still being done with slow, manual, or repetitive workflows.
GPT-powered WordPress plugins, Liquid text variation, Claude agents, content analysis tools, and live HTML/CSS prototyping.
Practical AI tooling that improved speed, expanded capability, and helped normalize LLM use on the team.
Built plugins that could pull from RSS feeds and website elements to generate reports, summaries, and content support.
Spearheaded a GPT-powered system for generating controlled text variation inside Liquid-based content templates.
Created a capability-based agent framework with skills for UX, SEO, accessibility, schema, and HTML validation analysis.
Built a local Claude-assisted viewer that displayed changes as HTML and CSS files were edited, making iteration faster.
AI tooling that improved real production work.
This project shows how I use AI as a practical production layer: not as a gimmick, but as a way to build tools, reduce repetitive work, improve judgment-heavy workflows, and help teams move faster.
If you need someone who can improve a website without losing sight of users, revenue, content, code, or production reality, I’m probably worth a conversation.