Nous Ergon
νους εργον — intelligence at work
Origin
Nous Ergon — Greek for intelligence at work (νους εργον, pronounced noose air-gone).
Nous (νους) is mind, intellect, the capacity for reason. Ergon (εργον) is work, deed, function — the same root as English ergonomics and energy. The name frames what the project is: agentic intelligence applied to a measurable, continuously verifiable problem. The work — the ergon — is what's on display.
Thesis
Build an experimentation harness for systematic equity strategies — multi-agent research, machine-learning prediction, risk-gated execution, weekly self-tuning — and instrument every decision it makes end-to-end. The orchestration pattern consists of six modules collaborating through S3 contracts, three Step Function pipelines on a fixed cadence, and an autonomous feedback loop that writes optimized parameters back into the system.
The harness is the durable artifact; alpha capture against the S&P 500 is the first experiment inside it. The system is currently in Phase 2: Reliability + Measurability buildout — making the instrument trustworthy enough that Phase 3 can turn alpha tuning on. Alpha is tracked, but not optimized, until measurement is trustworthy.
Built by
Brian McMahon. Single-developer project, in development since March 2026; Claude Code (Anthropic's LLM coding assistant) is the active collaborator on the implementation pass. Each module's repo is public.
Nous Ergon is a harness for agentic-orchestration research where different architectures, models, and patterns can be tested against measured baselines. Equities were chosen because financial data is abundant, decisions are unambiguous, and outcomes are continuously verifiable.
It is also a demonstration of how AI-augmented solo engineering can scale.