Who this is for
ArizonaAI.com made this toolkit for small publishers who use AI to help write job listings, company entries, and business news. It helps link each key claim to evidence, a source check, a date check, a named decision, and a saved version.
You do not need to know NIST terms to use it. The NIST mapping is there if you want to see the related guidance and its limits.
What you can inspect
- The browser worksheet, which starts blank and asks for each decision.
- The full guide and seven forms you can reuse.
- Three made-up worked examples and three dated real-source examples.
- Twenty practice cases with separate answers.
- Eighteen selected NIST references, including named gaps.
- The source list and dated test records.
- Downloads, including the manual workbook.
NIST conditions and our project goals
NIST’s public Playbook FAQ welcomes free resources from for-profit groups. It asks for a public resource and an emailed description. The separate crosswalk page asks for free, accurate mappings that are not ads. Staff review them before listing. These are the published conditions checked for this project. They do not promise acceptance.
Free access without an account, a WCAG 2.2 AA design goal, 20 practice cases, and the reuse licenses are ArizonaAI choices. We do not present them as extra NIST rules. The toolkit has no sales funnel or NIST seal.
The checked Playbook overview says its next update follows revision of AI RMF 1.0. This toolkit cites AI RMF 1.0 and the July 2024 Generative AI Profile. It assumes no deadline or review result.
What is approved, and what is still separate
The owner approved publication of version 1.0.0 and its CC BY 4.0 content and MIT code licenses on October 7, 2026. Those licenses remain active. No NIST submission, acceptance, endorsement, or government review result is recorded.
No human usability study has been done. Agent checks and software tests are labeled separately. Passing a test does not prove that the toolkit works well for every person or task.
Publisher: ArizonaAI.com. Project lead: Cenk Brown. Public route: https://arizonaai.com/resources/ai-content-verification/.