Legal
Last updated · June 3, 2026
At The Culinary Standard, our promise is transparency and hands-on product testing. To write the reviews and guides we want to put our name on, we pair our cooking experience with some technology. This page explains exactly how we use AI to support our work, and where we draw the line so it never affects our editorial integrity.
Before we get into the tech, we want to be clear about one thing: no AI tool can hear the loud noises a coffee grinder makes, feel the balance of a chef's knife, or judge whether a blender will actually hold up. Every product we review is tested by real people. Nobody pays us for these reviews, and AI has no say in which products we recommend.
To make our reviews thorough, we use custom-built AI pipelines and agents to help with our early research. They let us gather technical specs, look at market trends, and pull together product data quickly. Handing the data collection to these tools frees up our team to spend their time on the physical testing and evaluation instead.
We use AI models to help structure and draft our articles. Once our in-house testing is done, we run our notes and data through these tools to turn them into organized first drafts.
Human oversight: AI does not get the final word. Every piece of AI-assisted text is reviewed, edited, and fact-checked by our team for accuracy before it ever gets published.
To give our readers a richer visual experience, we use AI image generators for the artwork on the site. They let us produce conceptual imagery and supporting graphics that go alongside our articles and reviews.
We see AI as an organizational tool, a way to handle the data work and keep our publishing moving. But the heart of The Culinary Standard is human. Our opinions, our testing methods, and our final recommendations are entirely our own.