Skip to main content
Trust Pipeline

How it works

HOW IT WORKS

A signal path. Not a leap of faith.

ONE CLAIM → TRACEABLE EVIDENCE
  1. 01

    PROPOSE

    AI drafts

  2. 02

    CHECK

    Named methods

  3. 03

    CERTIFY

    Record the scope

  4. 04

    TRAVEL

    Anyone re-checks

A human defines the property and assumptions. Named checks produce evidence; the certificate preserves the method, source revision and limits. Re-checking depends on the method and available artifacts.

EVERY CLAIM IS GRADED

Know exactly how much a claim is worth.

Unlike AI reviewers that emit opinions, every Trust Pipeline claim records its provenance and the evidence needed for independent re-checking. An opinion never wears a proof’s clothes.

AI-suggested

A proposal to review, not an earned verdict.

tool-asserted

A named tool reports a result; its trust and scope are explicit.

machine-proved

A checker proved the stated property under the recorded model and assumptions.

refuted

The property fails, with a counterexample where the method supplies one.

Green-but-wrong is the enemy. A proof is only as strong as the model’s fidelity to the code. Record fidelity gaps, assumptions and unresolved bridges; a digest binds bytes, not their truth or sender.

WHAT THIS IS

  • A portable, re-checkable certificate layer.
  • Machine-checked proofs on extractable cores.
  • Claims graded by provenance.

WHAT THIS IS NOT

  • A new prover.
  • A claim that AI proves whole codebases.
  • “Generate and trust.”

MAKE THE EVIDENCE TRAVEL

Build with your checkers.
Ship with a clearer trust story.

Get started

Start with one bounded property. Keep every assumption in view.