What The Weather Company announced
According to The Weather Company, Weather Story Assist became generally available on October 19, 2026 on its Max Cloud platform. The company describes it as an AI-powered storytelling co-pilot that helps station groups turn a single forecast into localized stories for linear TV, streaming, web, social and mobile, while meteorologists keep final editorial control. Two capabilities are available now: grounding a story by surfacing historical content, record data and story angles behind a forecast, each traced to its source, and searching a station group's secure Max Cloud library to suggest scenes, graphics, archived video and local angles that fit the station's brand and voice. Three more are described as coming soon: personalization by group, station and individual meteorologist; cross-market sharing of graphics and video between sister stations; and automated vertical and platform adaptation, which would reshape an established broadcast story into short-form vertical video and digital post drafts for meteorologist review. The company says nothing is published or aired without explicit meteorologist approval, that the tool works inside each group's private Max Cloud environment and learns only from that group's content, and that it is helping develop the Story Object Model schema as a participant in the IBC Accelerators consortium. Steve Ward, senior vice president and general manager of enterprise media, said: "Weather Story Assist lets a station’s weather team stand out on every screen, not just the six o’clock news." TV Tech's report on October 20 describes the same features and notes the vertical capability as upcoming. The announcement gives no release date for the upcoming features, no pricing and no named stations.
Why a weather story is a useful test case
A local weather segment is produced every day, often several times a day, and the same forecast is wanted on the evening newscast, the station's stream, its website, its app and its social accounts. Each of those surfaces has a different length, shape and viewing context. The announcement frames the problem the way many newsrooms experience it: the broadcast story exists, and the work is in preparing and adapting it for everything else. Weather is a demanding version of that problem because the content changes quickly, accuracy matters and the meteorologist's on-air presence is part of what viewers come for. The same pattern applies to other daily local news segments.
From a broadcast story to vertical video
Reshaping a broadcast weather story for a phone involves more than cutting it shorter. A forecast segment is composed for a 16:9 screen, usually with the presenter on one side and maps, radar loops or graphics on the other. A centered 9:16 crop can keep the presenter and lose the map, or keep part of the map and lose the presenter. Lower thirds, temperatures and warning banners need to stay readable at phone size. Minute-ly.com's Smart Composition is built for this composition step: it recomposes horizontal live or on-demand video for vertical, portrait and foldable screens, and can use multi-region layouts so that a person and the graphic they are explaining both remain visible where a single crop would drop one of them. Whatever tool a station uses, the layout rules for presenter-and-graphic shots should be agreed and tested on real segments before anything is automated.
Keeping the expert in the loop
The Weather Company's emphasis on meteorologist approval reflects a broader point for local news. Automation can find material, prepare drafts and adapt formats, but the person responsible for the forecast decides what goes out, especially during severe weather. For video workflows, that means designing review into the process rather than adding it afterwards: drafts arrive with their source segment attached, reviewers can see the vertical version at real viewing size, and nothing is published automatically when the system is unsure. Minute-ly.com workflows are configured with each customer's editorial rules for the same reason, so that generated outputs follow the station's standards rather than a generic default.
Archives, metadata and search
Two of the announced capabilities, grounding a story in historical content and searching the station's own library, depend on archive material being findable. Many stations hold years of weather and news video that is hard to search because it carries little more than a date and a programme name. Structured metadata such as topics, scenes, speakers, summaries and chapters changes that. Minute-ly.com's Video AI Engine can create this kind of metadata for connected live and on-demand video, as described in our guide to video summaries and chapters, so that editors can find a past storm, a record temperature or an earlier interview without scrubbing through recordings. Keeping that metadata attached to every clip and vertical derivative also makes it possible to link each short item back to its full story.
A practical starting point for stations
Stations that want broadcast stories on more screens can start with one recurring segment, such as the morning forecast. Define the outputs it should feed: a web clip, a vertical version for social and the app, and perhaps a short preview on the station's homepage. Write down the composition rules for each shot type, decide who approves each output and how quickly, and check graphics and captions on an actual phone. Measure whether the vertical versions lead viewers to the full forecast or the live stream, not only how many views they get. Once one segment works reliably, extend the same rules to other daily segments and to sister stations.