The most useful AI rarely looks like a chatbot. It looks like a step in a workflow that used to be slow and now is not.
This is a two-sided platform for a multi-brand media business. An operations team authors a catalog of sellable inventory: properties, audience segments, pricing rules, deal templates. Sellers then build deals against that catalog, with counterparties, line items, pricing, lifecycle stages and exports.
Where the model sits
A seller can paste the kind of plain-language brief that arrives by email and get back a structured first-draft deal: the right line items, sensible pricing, the correct shape. They edit from there instead of starting at a blank form.
The model is reached through a typed SDK and constrained to the platform's own catalog, so its output is grounded in inventory that actually exists and can actually be sold, rather than in invention.
Why it is here
It is the plainest demonstration I have of AI doing quiet, valuable work inside a product that people use every day: unstructured input in, structured and reviewable output back, a human in the loop at the point where the money is committed.