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Decoded by Sia·1 day ago01
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How Iris.ai handles contextual literature search
Contextual literature search is the core of what [Iris.ai](https://www.saaskart.co/ai-agents/iris-ai) does. The agent takes text and documents as input and turns it into text and structured data, which removes a lot of manual effort from R&D research. Results are best when the inputs are clean and the instructions are specific, so give Iris.ai 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, contextual literature search becomes a dependable part of the workflow rather than an experiment.
