Built by one accountable operator.
dotHuman is authored by Michael Grosse through 217 Studios LLC. This is not a theoretical framework built from the sidelines — it’s an active methodology built by a practitioner who uses it to ship production systems daily.
Michael Grosse
Michael Grosse came up as a journalist before transitioning to full-stack software architecture — a background focused on breaking down complex, systemic mechanics into clear, accessible technical principles. For more than 15 years, he has designed, built, and operated custom cloud infrastructure and back-office engines across highly regulated domains, including insurance, fintech payments, and logistics.
Making an early, deliberate leap to AI-first development pipelines, Michael most recently served as the backend and cloud lead for a venture-backed startup. During that tenure, he took an AI-built product from zero to an active production deployment in about five months.
The .human methodology predates that role — it grew out of those years of operating systems that had to stay reliable long after launch. The startup’s fast-moving, AI-first team was simply where it was hardened and proved its value under live production pressure: the human-in-the-loop safeguards and markdown file structures, put to the test at speed. That work earned an invitation to conduct a full architecture Q&A session for an MIT course specializing in AI-assisted development.
The protocol is that production-proven methodology, made open-source.
Battle-tested across commercial environments before a single page of this handbook was published.
217 Studios LLC is a boutique software architecture studio established in 2010. The studio designs, builds, and maintains the core back-office systems businesses run on — providing a single accountable principal from initial database schema to long-term cloud operations. dotHuman is the open, tool-agnostic working layer authored by the studio to make AI-augmented work reliable, transparent, and auditable for teams.
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