Differences Between Input Methods in Claygent Content Creation

for Claygent content creation, what's the differences between putting everything into prompt vs Provide context for task (System Prompt)？ What does Provide context for task (System Prompt) even do?

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When creating content with Claygent, the main difference lies in how you structure your instructions: 1. Putting everything into the prompt: This approach combines all instructions into one section. It's straightforward but may lack clear organization. 2. Using "Provide context for task (System Prompt)": This method allows you to set the overall context and goal for the AI before giving specific instructions. It helps the AI understand the bigger picture and reason behind the request. The System Prompt essentially establishes the foundation for the task, focusing the AI on your specific needs. For example, in copywriting, you might use it to define the AI's role: "You are an expert writer skilled at writing short, succinct, personalized congratulations based on work profiles." Using a System Prompt can lead to more targeted and effective results by providing a clear framework for the AI to work within.
Sources: Prompt Engineering Crash Course [Clay 101] - Clay University Prompt Engineering Crash Course [Limitless Research] - Clay University
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