Changing what my phone agent was shown beat changing the model

Modifying the 'notes' or contextual information provided to an AI agent significantly improved its performance on tasks, surpassing changes made directly to the AI models themselves. Benchmarking across six different large language models revealed that by adjusting the data fed to the agent, crucial errors like providing incorrect contact information or misstating booking details were eliminated. This highlights the importance of prompt engineering and data context in achieving reliable AI agent behavior.

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