Why I built Studio around verification

Studio was built around a problem that appears after text generation: verification.

The problem

Where did this claim come from? Does the source actually support what the article says? Is the information current? Was enough context provided before generation? What still needs to be checked before publication?

These checks remain necessary even when the generated text is clear and well written.

How Studio approaches it

Before generating an article, Studio reviews the briefing to determine whether there is enough context to proceed. During generation, it consults public web sources and keeps the cited sources available with the resulting article so they can be reviewed afterwards.

The goal is not to make the output look more trustworthy. It is to make it easier to check.

More than generation

Studio also includes profiles, reusable history, adaptation for social networks, audio generation, an API and other parts of the content workflow. But adding more ways to generate text was never the main point.

The system is designed so that generation is not treated as the final step. The resulting content can be reviewed against its sources, corrected where necessary and evaluated before it is used or published.

Where Studio is now

Studio is currently being used by real users while the system continues to be tested and refined.

If you use AI to produce articles, guides or researched content, I’m interested in knowing what you still check manually before publishing.