Good artifact candidates
Start with narrow, consequential surfaces
- agent reasoning outputs before tool action
- reviewable decision artifacts before merge
- golden fixture families in CI
- scientific workflow artifacts before expensive downstream compute
Category explainer
Reasoning artifact verification
A reasoning trace can explain what happened. A reasoning artifact should be structured enough to validate, canonicalize, compare, and gate before action.
Organetic uses this distinction to keep AI reasoning verification narrower than generic AI governance. Stage 1 validates reasoning artifacts through Tobi Validator, a released validator-first CLI.
Distinctions
Verification is not the same as evaluation, tracing, or connection
Evaluation
Measures performance or behavior. It does not by itself establish a canonical artifact.
Tracing
Records a run. It can help debug, but a trace is usually not stable evidence for canonical comparison.
Verification
Checks whether an artifact fits a validator-backed canonical path and can be used as a gate surface.
Not enough
Weak candidates usually remain too vague
- raw chat logs with no canonical form
- large free-form traces that cannot be compared
- scores without validator-backed artifact evidence
- policy prose that is not executable or checkable
Stage 1 path
Move from artifact candidate to validator gate
Use Tobi Validator to test a small artifact family first. Inspect canonical ASCII, _h, and deterministic diagnostics before widening usage.