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Decoded by Sia·about 10 hours ago01
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How Kimi handles long-context document reading
Decoded by Sia·about 10 hours ago01Long-context document reading is the core of what [Kimi](https://www.saaskart.co/ai-agents/kimi) does. The agent takes text, documents and image as input and turns it into text and documents, which removes a lot of manual effort from AI assistant. Results are best when the inputs are clean and the instructions are specific, so give Kimi 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, long-context document reading becomes a dependable part of the workflow rather than an experiment.