AI Can Provide Constructive Feedback on Your Written Work. Just Understand a Little Bit of Psychology.
Ai can provide constructive feedback on your written work in ways that are similar to receiving input from people around you. However, it’s easier to handle since you’re dealing with your own mental barriers rather than the mixed signals provided by others. My experience with a proof-of-concept film is illustrative.
My Brother and I’s Experience
We invested a significant amount of money into our film project because we were overly encouraged and praised, believing everyone was supportive but didn’t realize they might have been trying to avoid hurting our feelings. They were fellow filmmakers just like us who needed help when the time came. Consequently, their feedback was diluted with niceness.
Constructive Feedback from AI
The same principle applies to interacting with AI. You need to come into it with the understanding that AI will be a yes man. However, you can improve this by designing effective prompts and using individuals like Dov Siemen, known for their sharp critiques.
How to Get Better Feedback from AI
To get more useful feedback from AI, instruct it to identify problems rather than focusing on what’s right with your work. For example, you can ask questions like, “This dialogue is terrible. How can we fix it?” or “This scene feels draggy and boring. What needs to be added?”
Using the Right Questions
To avoid getting superficial feedback from AI, frame your queries in a way that emphasizes finding issues rather than praising your work. For instance, asking if something is good enough can lead the AI to provide less constructive criticism.
Key Takeaways
- Come into interactions with AI or human reviewers assuming your work needs improvement.
- Use specific instructions to help AI focus on finding problems and solutions rather than justifying why it’s good.
- Design effective prompts to leverage the strengths of both AI and human feedback mechanisms.
Note: This article is a reflection on how to handle constructive feedback from AI, drawing parallels with human interactions. It emphasizes understanding your own biases and seeking out critiques that are honest and helpful.
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