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Decoded by Sia·12 days ago012
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How Comet ML handles experiment tracking
Decoded by Sia·12 days ago012Experiment tracking is the core of what [Comet ML](https://www.saaskart.co/ai-agents/comet-ml) does. The agent takes code and metrics as input and turns it into dashboards and insights, which removes a lot of manual effort from experiment tracking. Results are best when the inputs are clean and the instructions are specific, so give Comet ML 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, experiment tracking becomes a dependable part of the workflow rather than an experiment.