FAQ

Is SpecLogician a replacement for formal specs?

It’s a different structure: incremental, data-driven, scenario-based, designed for automation.

How does it scale to complex domains?

Global complexity lives in the domain model, while iteration happens through small, typed changes (especially scenarios).

Why is this better for LLMs?

LLMs do best at local reasoning and structured edits. SpecLogician makes the unit of work small, typed, and checkable, while a reasoning engine handles global verification.

What makes the workflow “closed-loop”?

Every change is followed by analysis of the entire accumulated model: propose → formalize → verify → refine