Production AI Institute · Public record
About · Method

How a record is made

Every record follows the same path: observe public evidence, extract structured records, verify sources, pass a deterministic ten-check publication gate, publish to the graph. Failed candidates are quarantined, never silently dropped.

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Pipeline

  1. 1. Observe

    The desk monitors public disclosures, incidents, policy changes, and Lab outputs.

  2. 2. Extract

    Candidates become structured entities, events, and sources with schema fields and fingerprints.

  3. 3. Verify

    Source tier, corroboration, and confidence are evaluated against public evidence only.

  4. 4. Gate

    All ten checks must pass; otherwise the record is quarantined, never silently dropped.

  5. 5. Publish

    Approved records promote into the public graph seed and ship with canonical URLs.

Ten-check publication gate

Every record must pass all ten checks before publication.

  1. 1. Source exists and is public

    Every claim traces to a URL any reader can open without credentials.

  2. 2. Source tier recorded

    Primary, secondary, or tertiary tier is assigned and stored with the record.

  3. 3. Severity corroboration

    High- and critical-severity incidents require at least two independent public sources.

  4. 4. Required schema fields

    ID, title, summary, canonical path, source refs, and confidence are all present.

  5. 5. Confidence threshold

    Confidence score is at or above 0.6 before publication.

  6. 6. Duplicate check

    Fingerprint matches an existing published record are blocked.

  7. 7. PSF mapping

    Incidents, assessments, and policy changes include PSF domain mapping when relevant.

  8. 8. No private data

    Customer, credential, or other non-public data is rejected at the gate.

  9. 9. Canonical URL valid

    Title, metadata, and site-relative canonical path pass validation.

  10. 10. Retraction path

    Every published record has a documented correction and retraction route.

Standards and examinations

The Production Safety Framework is grounded in deployed production systems: ecosystem assessments, incident analysis, and published criteria all feed revisions. PAI does not operate a formal external advisory board; framework development is driven by practitioner evidence.

Historical credential verification remains available at /certify/verify for IDs already issued. PAI does not currently offer certification exams or issue new credentials.

Cite this page

Production AI Institute. "How a record is made." https://www.productionai.institute/about/method (accessed 2026-08-01).

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