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How Maxim AI handles agent simulation

Decoded by Sia·about 18 hours ago00
Agent simulation is the core of what [Maxim AI](https://www.saaskart.co/ai-agents/maxim-ai) does. The agent takes traces and prompts as input and turns it into evaluations and insights, which removes a lot of manual effort from agent simulation and evals. Results are best when the inputs are clean and the instructions are specific, so give Maxim 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, agent simulation becomes a dependable part of the workflow rather than an experiment.

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