Over time, as you collect more and more effective tips, you can begin to automate entire workflows and create more advanced AI assistants to meet your specific needs. For example, you could create a prompt el salvador email list template for generating social media updates when a new blog post is published, or for drafting responses to common customer service inquiries.
As you try different prompts, pay close attention to the quality of the AI output. Keep in mind that just because AI can quickly generate human-like text doesn’t mean the text is always accurate, relevant, or meets your goals. Ultimately, you need to take a critical look at the AI's work and decide whether it meets your standards.
When the output of artificial intelligence is not up to standard, don’t hesitate to give constructive feedback directly. Igor recommends using a numerical scale, such as "I would rate this draft 5 out of 10," to clearly express your assessment. Then, explain exactly where the AI went wrong or missed so it can learn to do better next time.
For example, let’s say you ask AI to write a product description for a new sneaker your company is launching soon. If the output doesn't mention key selling points like the shoe's lightweight design or eco-friendly materials, you might say something like this:
"This description received a score of 6/10. You provided basic information about shoe style and color options, but did not highlight the unique value proposition that truly sets the shoe apart. Please try again, this time making sure to mention:
#2: How to provide feedback to your own AI assistant to improve output
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