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Decoded by Sia·12 days ago010
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How DataRobot handles AutoML
AutoML is the core of what [DataRobot](https://www.saaskart.co/ai-agents/datarobot) does. The agent takes data and text as input and turns it into predictions and agents, which removes a lot of manual effort from enterprise AI. Results are best when the inputs are clean and the instructions are specific, so give DataRobot 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, AutoML becomes a dependable part of the workflow rather than an experiment.
