We built an AI-agent with a state machine instead of a giant prompt

Show HN: We built an AI-agent with a state machine instead of a giant prompt

We built an AI-agent with a state machine instead of a giant prompt operates in show hn launch.

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Hi HN,Last year we tried to bring an LLM “agent” into a real enterprise workflow. It looked easy in the demo videos. In production it was… chaos.• Tiny wording tweaks = totally different behaviour • Impossible to unit-test; every run was a new adventure • One mega-prompt meant one engineer could break the whole thing • SOC-2 reviewers hated the “no traceability” storyWe wanted the predictability of a backend service and the flexibility of an LLM. So we built NOMOS: a step-based state-machine engine that wraps any LLM (OpenAI, Claude, local). Each state is explicit, testable, and independently ownable—think Git-friendly diff-able YAML.Open-source core (MIT), today. • GitHub: https://github.co

Within the show hn launch space, the company focuses on its core offering rather than a broad product line.

The company is listed at the Show HN launch stage of development.

Website: nomos.dowhile.dev