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Naveen Tewari sketches a shopping experience in which AI agents identify items in TV shows, make recommendations and interact with advertising agents. His timeline is a prediction, not an established outcome.
- 1Shopping from a showTewari describes agents connected to television content that could help viewers find an item.
- 2Different agentsHe envisages a recommendation agent working alongside an advertising agent.
- 3Finding a nearby productHe imagines an agent directing someone to jeans in a local store and predicts a short timeline.
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- Tewari imagines shopping for items seen in a television show through an AI agent.
- He describes recommendation and advertising agents working alongside each other.
- His prediction that such experiences will arrive within five years is not a guarantee.
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A proposed shopping experience
Tewari outlines his vision for agent-assisted product discovery and advertising.
In this excerpt from The AI Download, InMobi and Glance CEO Naveen Tewari describes a possible shopping experience. Instead of photographing an item from a television show and searching for it manually, a viewer could ask an agent connected to the content to help find it.
Tewari imagines multiple agents working together: one could make recommendations, while another represents advertising. His example describes a system design and business vision, not proof that every proposed integration exists.
He imagines an agent guiding someone to a nearby store and a specific pair of jeans, and predicts that people will use such experiences within five years. That timeline is his forecast; it is not a guarantee.
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