SMALL is a formal execution model designed to make AI systems legible, deterministic, and safe to operate at scale.
It was created to address a recurring failure pattern across AI platforms, CMS systems, and internal tools: implicit state, invisible intent, and ungovernable execution.
SMALL is intentionally minimal.
Its goal is not to add features, but to make systems explainable.
Justyn Clark is a systems-focused engineer and founder with deep experience building production platforms across content, infrastructure, and AI-adjacent systems.
His work spans:
SMALL emerged from repeatedly seeing the same failures - and rebuilding the same scaffolding - across otherwise unrelated systems.
Justyn Clark Network (JCN) is a development studio focused on execution-first systems at the intersection of software, AI, and media.
JCN builds:
SMALL is a flagship system created and maintained by JCN.
SMALL Protocol was created and is maintained by Justyn Clark.
SMALL Protocol is maintained openly with a public release history on GitHub.
SMALL is open in spirit, formal in design, and governed by explicit execution semantics.