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RECIPE BENCH / 16NO COMPANY DATAREVIEW 2026.07
SOURCES / REVIEWED JULY 22, 2026

Editorial and recipe method

Start from real work, keep authority human, and classify evidence honestly.

The publication uses primary sources for external risk context and original small-business synthesis for bounded workflow recipes. It is not a vendor lab, benchmark, audit, certification, automation service, or professional conclusion.

METHOD / 01

Begin with the work

Name the trigger, minimum input, draft output, reviewer, final action, and failure consequence before discussing a tool.

METHOD / 02

Build the checkpoint

Keep a person before actions that affect money, people, access, publication, promises, rights, safety, or records.

METHOD / 03

Test ordinary and edge cases

Use fictional or approved examples, define criteria first, preserve failures, and change one meaningful element at a time.

METHOD / 04

Show the exit and commercial boundary

Keep a manual fallback and business-owned instructions. Future commercial relationships must be disclosed and cannot purchase a favorable conclusion.

Primary source shelf

Official references used for this release.

Review the current source, provider documents, and qualified guidance before acting on material facts.

National Institute of Standards and Technology

AI Resource Center

Current NIST resources for understanding, measuring, and managing AI risks.

Open primary source
National Institute of Standards and Technology

AI Risk Management Framework

A voluntary framework for governing, mapping, measuring, and managing AI risk.

Open primary source
National Institute of Standards and Technology

AI RMF Core

Operational functions and outcomes for trustworthy AI risk management.

Open primary source
National Institute of Standards and Technology

AI Risk Management and Human-AI Interaction

Human roles, oversight, context, and interaction considerations across the AI lifecycle.

Open primary source
National Institute of Standards and Technology

Generative AI Profile

Generative-AI-specific risks and actions that complement the AI RMF.

Open primary source
Federal Trade Commission

Operation AI Comply

Enforcement context for unsupported AI performance, earnings, and automation claims.

Open primary source