Two years building DexOS — a governed cognitive runtime with an interpretable behavioral layer. Solo. Constrained hardware. No institutional support. Live system, public DOI, real architecture.
Most AI systems are black boxes. You send a prompt, you get output. What biased that output — what preferences, patterns, and weights shaped the response — is invisible and uncorrectable.
DexOS externalizes that layer. The Sigil System makes behavioral biases explicit, named nodes with strength, history, and mutation logs. A user or auditor can look at the sigil state and understand why the system behaved as it did.
ReasonFlow routes every prompt through Talnir — a rule-based translator — before it reaches the model. Intent is classified, signals are built, the system prompt is constructed from those signals. Routing is deterministic and auditable. Nothing is hidden.
Built and validated on an HP EliteBook with no GPU. Consumer hardware, by design — to prove the approach is accessible, not only available to well-resourced labs.
Concrete example: A standard LLM may repeatedly default toward overly agreeable responses. DexOS exposes that tendency as a named behavioral node — a sigil — allowing the operator to inspect it, weaken it, reinforce it, or mutate it over time. The bias is no longer hidden. It has a name, a strength value, a history, and a correction path.
I am Zechariah Cozine — alias Root. Primarily self-taught. Background in systems thinking, independent research, scripting, local infrastructure management, and iterative prototyping.
I do not have a formal engineering credential. What I have is two years of uninterrupted output on a single hard problem under resource constraints — a live system, a public record, and an architecture worth taking seriously.
DexOS started as a practical problem: LLM systems produce outputs without exposing how reasoning decisions are formed, how behavioral patterns evolve, or how users can inspect and correct those processes. Two years later, that problem has a working answer.
The project is open source, locally sovereign, and freely given. Matthew 10:8.
Researcher, engineer, or builder who wants to engage with the architecture — reach out. Collaboration is welcome.