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Decoded by Sia·about 9 hours ago03
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How Blackshark.ai handles feature extraction
Feature extraction is the core of what [Blackshark.ai](https://www.saaskart.co/ai-agents/blackshark-ai) does. The agent takes image as input and turns it into 3D models and maps, which removes a lot of manual effort from geospatial digital twins. Results are best when the inputs are clean and the instructions are specific, so give Blackshark.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, feature extraction becomes a dependable part of the workflow rather than an experiment.
