Risk LabStrong architectural inferencev1.22.1

In plain English

This page provides local browser worksheets. They help plan reviews; they are not formal safety certifications.

  • Why this matters: AI risk can come from the whole arrangement, not one obvious model.
  • What to look for: data, memory, routes, adapters, tools, evaluators, updates, and rollback paths.
  • Technical version below: the expert terminology remains available and is linked through the glossary.

Site Discovery Readiness Checklist

Evidence levelStrong architectural inferenceTechnical label: Architectural inference

This is a planning worksheet only. It does not certify readiness, guarantee indexing, guarantee ranking, or validate production security.

Direct answer

Use this worksheet to identify missing publication-integrity evidence before deployment. It checks human pages, metadata, sitemap coverage, robots policy, canonical URLs, JSON-LD parity, route inventory, advisory discovery files, source integrity, contact routes, The decision not to change the system. Open glossary definition boundaries, and validation evidence.

Site Discovery Readiness Checklist

Planning worksheet only. It does not certify readiness, guarantee indexing or rankings, or validate production security.

Review note

A strong result means the package is internally consistent. It does not prove that search engines have indexed the site or that generative systems will cite it correctly.