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Alexa Said THIS… and Miss Nancy Didn’t Like It 😳

Miss Nancy is an older African-American woman with pink hair rollers, a pink robe, pink slippers, large round glasses, and big expressive bu…

Role-Based

Prompt

Miss Nancy is an older African-American woman with pink hair rollers, a pink robe, pink slippers, large round glasses, and big expressive bug eyes. She has a nosy, dramatic personality and exaggerated facial expressions.

Scene takes place inside her living room during the daytime. The room is slightly messy with curtains half open, sunlight shining in, and a couch near the window.

Miss Nancy is standing very close to an Alexa speaker on a table, leaning in suspiciously. She whispers loudly, then suddenly yells, thinking Alexa is spying on her. Her bug eyes widen dramatically, and she clutches her robe.

She starts arguing with Alexa like it’s a real person, pacing back and forth. She points at it, gasps, then backs up slowly like she’s scared. Then she quickly grabs it, shakes it, and demands answers.

Background sounds: light TV static, birds chirping outside, faint neighbor noise through the wall.

Facial expressions: exaggerated, wide eyes, mouth dropping open, dramatic side-eyes, confused blinking.

Camera: medium close-up, slight zoom-in when she gets dramatic.

Lighting: bright daytime, soft shadows.

Style: colorful, cartoon, not realistic.

No text on screen. No subtitles. No watermarks.
,FALSE,TEXT,serinityconya@gmail.com

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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