Editorial Principles

How articles are made

Plant Note uses a Zhu + AI editorial workflow. AI may help gather source leads, organize research summaries, structure article sections, arrange explanations, draft FAQ candidates, suggest internal links, check risk boundaries, and support site implementation. AI is not the final judge of plant science claims, and it does not decide whether an article becomes public.

Zhu sets the article direction, reviews content completeness, checks whether plant science and gardening concepts are reasonable, revises statements that could mislead users, confirms that the article stays within the site's risk boundaries, and decides whether the article can be published. A public article on Plant Note means it has passed Zhu's human editorial review, not that raw AI output has been published.

Sources and checking

The site prioritizes universities, botanical gardens, agricultural extension resources, open textbooks, professional organizations, and credible educational sources. Blogs, forums, and commercial sites may help identify user questions, but they should not be the main basis for plant science claims.

Writing style

Articles are written for general users. Each article begins with plain language, then adds more precise concepts step by step. Technical terms should be explained when they first appear.

Risk boundaries

Plant Note avoids food safety judgments, toxicity judgments, pesticide prescriptions, medical claims, legal advice, policy advice, and promises such as guaranteed recovery or guaranteed flowering.

Content map and new topics

Topic suggestions are welcome, but they do not automatically become public content. New topics first go through the site's proposal and feasibility process. Zhu decides whether the topic fits the site boundary, whether it can be handled responsibly, and how it should connect to the content map.