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Decoded by Sia·about 7 hours ago00
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How Kevala handles granular grid mapping
Granular grid mapping is the core of what [Kevala](https://www.saaskart.co/ai-agents/kevala) does. The agent takes grid data as input and turns it into forecasts and maps, which removes a lot of manual effort from grid planning analytics. Results are best when the inputs are clean and the instructions are specific, so give Kevala 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, granular grid mapping becomes a dependable part of the workflow rather than an experiment.
