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Substrate extracts a paired, time-indexed representation of human–LLM dialogue: the user's evolving problem formulation, the model's inferred formulation, and the moments where they silently diverge.
Two typed problem graphs evolve in lockstep — one per side of the dyad.
Watch nodes appear, get refined, or supersede each other as the conversation unfolds.
Grounding acts, scope drift, ignored constraints, premature commitment — all surfaced.
Extraction is intentionally rough; the contribution is the representation, not the F1 score. Once an externalised, inspectable dual representation exists, the moments that were previously invisible become legible.
How it worksExperimental research prototype, provided as-is with no warranty. By using Substrate you agree to the Terms of Use.