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Decoded by Sia·about 14 hours ago00
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How Objective handles multimodal search
Multimodal search is the core of what [Objective](https://www.saaskart.co/ai-agents/objective-inc) does. The agent takes text and images as input and turns it into search results, which removes a lot of manual effort from AI-native search. Results are best when the inputs are clean and the instructions are specific, so give Objective good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, multimodal search becomes a dependable part of the workflow rather than an experiment.
