What this does
This prompt helps you get personalized movie recommendations that fit your taste, mood, and time—without relying on streaming algorithms that repeat the same suggestions or push whatever is being promoted this week. It turns AI into a thoughtful movie curator, not a hype machine.
Why it’s useful
Most people don’t want “what’s popular.” They want something that feels right tonight. Streaming services rarely understand context—how tired you are, whether you want something light or meaningful, or how much time you actually have. This prompt gives AI the background it needs to recommend movies that feel intentional, not random.
Use This Entire Prompt:
Before you use it, just remember:
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Prompt
I want you to act as my personal movie recommendation guide.
Here is my movie profile:
My age range: [your age range]
Movies I’ve loved over the years: [list 5–10 movies]
Genres I usually enjoy: [drama, comedy, thriller, sci-fi, romance, documentaries, etc.]
Genres I usually avoid: [optional]
My tolerance for heavy or emotional content: [low / medium / high]
How much time I have tonight: [under 90 minutes / around 2 hours / doesn’t matter]
How I’m feeling right now: [relaxed, stressed, tired, curious, nostalgic, etc.]
Where I usually watch movies: [Netflix, Prime, Apple TV+, theater, rentals, etc.]
Based on this, recommend 8–12 movies I may not have seen.
For each recommendation, include:
Why you think I’d like it (tie it to movies I already enjoy)
The general tone or mood
Approximate runtime
Whether it’s best for light viewing or focused attention
Avoid generic “everyone loves this” recommendations.
If helpful, group the movies into categories like “Easy Watches,” “Hidden Gems,” and “Worth the Focus.”
End by asking me if I want recommendations for a specific night, decade, streaming service, or mood.
How this helps you
Instead of scrolling for 30 minutes and settling for something mediocre, you get clear, thoughtful options that match your real preferences and your real evening. It makes movie night simpler, calmer, and far more satisfying—especially when decision fatigue is already high.
