We propose a new approach to edit and adapt information from the web. The advantage of the proposed approach, edited adaptive hypermedia, is that it combines human expertise with machine intelligence. A user-adaptive WWW browser communicates with an information broker environment, in which information can be retrieved and structured to fit the target user group or groups. We exemplify the approach with an application at a Swedish company: newsletter distribution on an Intranet. The information is adapted at the reader side, based on annotations on each article from the newsletters.