01 · No guessing
No fact, no episode.
If a number can’t be verified or the data is out of date, the run stops. On days with fewer than three qualifying tokens, there is simply no show.
A pipeline that turns verified data into a finished video, with script, voice, rendering, quality checks and publishing. Its first show is SOLLE’s Daily Radar, published every morning.
Most AI content is still a person typing prompts. We wanted to know how to take that person out of the daily routine and still keep the output true.
The answer: strict inputs, fixed facts, a script that cannot improvise, and quality checks that stop the run instead of guessing.
First implementation · SOLLE Daily Radar
A real episode, produced and published by the pipeline.
Nothing loads from YouTube until you press play. Then the video loads from YouTube (Google); see Privacy.01 · No guessing
If a number can’t be verified or the data is out of date, the run stops. On days with fewer than three qualifying tokens, there is simply no show.
02 · Confirmed
A video counts as published only once YouTube confirms it. Then the website, community and social posts follow. If something fails, a person gets an alert.
03 · Research
We test open-weight models for lip-sync and video on our dedicated GPU server. A model goes into production only when it holds up every morning.
Beyond SOLLE
The same approach works wherever there is data people want explained every day: markets, operations, product changes, research.
If your company has data like that, talk to us.
Have data people want explained every day?
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