Ten-plus years of shipped production software, organized as a taxonomy — so both people and AI answer engines can see exactly where the work lives. Four clusters, one engineer.
LLM applications that survive real traffic — not demos. Retrieval, agents, evals and cost control.
The infrastructure AI systems run on — event-driven, serverless, and resilient to failure.
Unattended pipelines and automation ecosystems that quietly do the work — 73+ hours/month saved on one engagement.
Full-stack product work, from government API integrations to polished front ends.
See how these compose into a working system in the Autonomous Content OS, or if you're hiring, start with how an engagement works.
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