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Decoded by Sia·about 16 hours ago02
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How Sensity handles face deepfake detection
Face deepfake detection is the core of what [Sensity](https://www.saaskart.co/ai-agents/sensity) does. The agent takes images and video as input and turns it into scores and reports, which removes a lot of manual effort from deepfake detection. Results are best when the inputs are clean and the instructions are specific, so give Sensity 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, face deepfake detection becomes a dependable part of the workflow rather than an experiment.
