What a decade of fixing bad content taught us about interviews
A placeholder example while we publish our founder piece. It shows the shape of what ValConAI produces from a single expert interview.
Most content fails in the same way. It is written by someone who has read about a subject rather than someone who has lived it, so it repeats what is already everywhere and adds nothing a reader could not have guessed. The fix is not better writing. It is better source material.
When we started interviewing experts properly, the difference was immediate. A ten minute conversation produced numbers, worked examples and opinions that no general model could invent, because the model does not know them. The work then becomes shaping what was said, not manufacturing what was not.
The interview digs until it has something worth publishing. If the answer is vague, it asks again, properly.
Why the interview matters more than the draft
A weak interview cannot be rescued by a strong writer, but a strong interview almost writes itself. That is why the whole product is built around the conversation: a resumable chat that presses for specifics, respects an honest "I do not know", and never pads an answer to look longer than it is.
What comes out the other side
One interview produces three pieces: a blog post written to publish, a press release with a real news angle, and a social pack that leads with the strongest line. Each is built only from what the expert said. Nothing invented, nothing padded.
The content is built only from what they said. That is the whole point.
This is a placeholder to show the shape of a finished piece. The real example, drawn from our own founder interview, goes live with the product.