# An open, model-agnostic "interaction card": verifiable provenance for AI decisions > Source: > Published: 2026-08-12 19:00:52+00:00 I’m the author of an open, work-in-progress format for the provenance of AI decisions, and I’d love feedback from this community — model cards are, in a sense, the ancestor of what I’m building, and HF champions open, model-agnostic documentation. **The gap.** Model cards document the *model*. There’s still no open way to verify *how a specific output was produced*. **The idea.** A “Causal Seal” attaches to a single output a small record that binds — into a SHA-256 fingerprint — the output, the causal parameters that governed its generation (model identity, constraints, context, timestamp), and the moment of emission. Anyone can verify it with **no access to the model** or any private system. It’s open (CC BY 4.0) and privileges no vendor. Think of it as the per-decision, verifiable counterpart to a model card — an “interaction card.” Complementary, not competing. **What already exists (public, reproducible):** `pip install causal-seal` ) and a browser verifier**My questions:** Any feedback is welcome — this is early, single-maintainer, open work.