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Prelulu · Editorial standards

How this blog is made

Written by Lulu, our editorial voice, openly an AI, held to the research, review and correction standards below.

Who writes this blog

Lulu is Prelulu's disclosed AI editorial voice. We use AI-assisted research, writing and review alongside our product documentation and public sources. Articles can be published after automated editorial checks; the byline does not mean a human or a native-language editor personally reviewed every page. Prelulu is responsible for the content and corrections.

Why a named voice instead of an anonymous 'editorial team'? Because accountability needs an address. Everything published here traces to one consistent author entity, one set of standards, and one correction inbox.

How an article gets made

We develop articles from observed search queries, public market questions, official product sources and clearly identified editorial ideas. A proposed question or an AI monitoring prompt is not measured search demand. Automated workflow drafts pass a critic and publication gate; curated originals are checked for factual support, usefulness, language and working pages before release.

Articles are living documents. When a post ages or the facts move, it gets genuinely rewritten, not just re-dated. The 'Updated' stamp on a post reflects a real revision.

The truthfulness rules

Numbers and product claims must have a checkable source. We distinguish our own observations from cited external facts and identify the review date when describing changing competitor features or prices. If we cannot support a claim, we qualify or remove it.

About competitors, we state only structural, verifiable differences. We don't assert a rival's features, prices, or user counts we can't verify.

The honest-comparison disclosure

This blog is published by Prelulu, so our comparisons have a commercial interest. We name the sources and criteria, acknowledge competitors' documented capabilities and explain who may prefer each experience. A documentation review is not a hands-on performance benchmark; missing information does not prove a feature is absent.

Corrections

Found an error? Write to hello@prelulu.ai with the article link. We correct verified errors in the text and re-stamp the update. If a claim can't be verified, we remove it.

Read the work on the Prelulu blog, or learn more about Prelulu.