Canonical artifacts
Reasoning that can be compared
Organetic leads with canonical reasoning artifacts rather than informal traces alone.
Released Stage 1 product line
Organetic helps move reasoning from trace-like and opaque toward canonical, reproducible, validator-checkable artifacts.
Its first released product is AI Verification Engine / Tobi Validator: a narrow validator-first CLI surface for canonical reasoning verification.
First product
AI Verification Engine / Tobi Validator
The released surface is intentionally narrow: a validator-first CLI for deterministic reasoning verification.
Narrow truthful contour
Deliberately restrained claims
Not a full platform. Not a biology-first homepage. Not runtime or backend maturity. Not a shipped verification API.
Released line
The visual system is here to reinforce a serious released validator line, not to widen the product claim.
Canonical artifacts
Organetic leads with canonical reasoning artifacts rather than informal traces alone.
Validator-first
Tobi acts as the reference validator and trust anchor for the released Stage 1 line.
Workflow fit
Stage 1 stays intentionally narrow: validator CLI, deterministic diagnostics, and workflow-ready support materials.
AI Verification Engine / Tobi Validator
_h compatibility identity outputTruthful scope
Practical proof
The released line should read as an actual validator surface, not just a positioning claim. The proof below stays inside the current shipped contour.
Released CLI evidence
tobi canon for canonical ASCII output_h compatibility identity outputtobi golden for conformance and golden executionRepresentative Stage 1 CLI flow
$ tobi canon sample.tbs
atomic{ let x = 1 in x }
_h: 7f13d4e2
status: canonical ascii ready
$ tobi golden fixtures.json
PASS fixtures/accept/basic.tbs
PASS fixtures/reject/hash_mismatch.tbs
summary: 2 passed, 0 failed
diagnostics: deterministic
Integrations
Stage 1 is designed to sit inside existing pipelines as a validator checkpoint between generated reasoning artifacts and downstream acceptance.
Workflow fit
GitHub Actions
Use Tobi as a gate step in pull request and release workflows.
GitLab CI
Run canon and golden checks inside validator-focused CI stages.
Nextflow
Insert validation checkpoints into reproducible scientific pipelines.
Snakemake
Use validator outputs as rule-level acceptance or rejection signals.
Databricks / MLflow
Secondary support layer for teams that need tracked validation steps.
Deep domain
Biology and integrative physiology remain Organetic's first deep domain, while the first public category remains reasoning verification and trust infrastructure. It is a deep application zone, not the first released product claim.