Based on official OpenAI and Google Cloud documentation


📋 THE FRAMEWORK

SORA 2 Structure:

`[Style/Era] + [Scene Description]

Cinematography:

Actions:

Dialogue (if needed): "[Keep under 15 words per line]"


### **VEO 3.1 Formula:**

[Cinematography] + [Subject] + [Action] + [Context] + [Style & Ambiance]

Audio:


---

## **✅ 15 TESTED EXAMPLES**

### **SORA 2 Examples:**

**1. Product Demo Style**

90s infomercial aesthetic. A chef's hand flips golden pasta in a professional kitchen, steam rising dramatically. Wide shot, eye level. Shallow depth of field focusing on the pan. Warm tungsten key light from above with cool window spill. Actor flips pasta three times, catches it, and smiles at camera in final second.


**2. Cinematic Documentary**

16mm black-and-white documentary film. An elderly carpenter examines a hand-carved wooden chair in his dusty workshop. Medium close-up, slight low angle. Natural window light from the left creating hard shadows. He runs his fingers along the grain, pauses, nods slowly, and sets it down gently. Ambient: wood shavings falling, distant traffic hum.


**3. Modern Commercial**

Anamorphic 2.0x lens, shallow DOF. A woman in a red dress walks through Times Square at golden hour, neon signs reflecting in puddles. Tracking shot following her from behind, eye level. She takes five steps, stops at crosswalk, looks up at billboards. Warm backlight with cool neon edge light. Cinematic color grade with teal shadows.


**4. Tech Review Style**

Clean product photography aesthetic. Close-up of hands unboxing a sleek smartphone, peeling off protective film. Overhead shot with soft diffused lighting. Fingers peel film slowly from corner to corner over 6 seconds, revealing glossy screen. White background with subtle bounce light. Crisp focus, minimal shadows.


**5. Narrative Drama**

1970s romantic drama shot on 35mm film. A couple dances on a Brooklyn rooftop at sunset, laundry lines swaying in background. Medium-wide shot, slow dolly-in from eye level. She spins, dress flares, he catches her hand and dips her. Warm golden key light with soft rim. Natural film grain and gentle halation on string lights.


### **VEO 3.1 Examples:**

**6. Corporate Interview**

Medium shot, a confident female CEO in a modern glass office, gesturing while explaining her company's vision, with a city skyline visible through floor-to-ceiling windows behind her. Natural daylight from the windows, professional ambiance. She says, "Innovation isn't about technology. It's about solving real problems." Ambient: subtle office sounds, distant traffic.


**7. Action Sequence**

Tracking shot following a parkour athlete, sprinting across rooftops at dusk, leaping between buildings with the city skyline in the background. Athletic male in black athletic wear, executing a precise jump and roll. Urban environment with dramatic orange and purple sunset sky. Energetic, intense mood. SFX: footsteps on gravel, wind rushing, landing thud.


**8. Cooking Content**

Overhead shot, a chef's tattooed hands chopping fresh herbs on a wooden cutting board, in a rustic kitchen with copper pots hanging in the soft-focus background. Methodical, precise knife work. Warm afternoon light streaming through a nearby window. Chef says, "The key to Italian cooking? Fresh basil, always." SFX: rhythmic chopping, knife on board.


**9. Tutorial Style**

Close-up with shallow depth of field, a young man's hands demonstrating how to fold an origami crane, on a minimalist white desk with scattered colorful paper in the background. Focused, calm movements. Clean, bright studio lighting. Instructional, zen-like mood. Ambient: soft paper rustling, quiet breathing.


**10. Nature Documentary**

Crane shot starting low on a lone hiker standing at the edge of a misty canyon at sunrise, then ascending to reveal the vast landscape below. Male hiker in outdoor gear, silhouetted against the golden sky. Epic, expansive canyon environment. Awe-inspiring mood with soft morning light. SFX: distant bird calls, gentle wind.


**11. Music Video Aesthetic**

POV shot from behind a female singer on stage, looking out at a massive cheering crowd with stage lights creating dramatic lens flare. She raises her arms as the crowd roars. Large concert venue, electric atmosphere. She sings, "When the lights go down, we come alive!" SFX: crowd roar, bass thump, atmospheric reverb.


**12. Film Noir Style**

Low-angle shot, a detective in a fedora and trench coat walking down a rain-soaked alley at night, neon signs reflecting in puddles with shadows from a fire escape. Solo male figure moving purposefully toward camera. Dark urban alley with dramatic contrast. Moody, mysterious atmosphere. SFX: footsteps in water, distant siren.


**13. Sci-Fi Concept**

Wide shot, an astronaut floating in a pristine white space station corridor, checking holographic displays that flicker in front of them, with Earth visible through a large window. Female astronaut in modern suit interacting with holograms. Futuristic interior with blue ambient lighting. Quiet, contemplative mood. Ambient: subtle air circulation hum, hologram flicker sounds.


**14. Fashion Content**

Slow-motion dolly shot, a model in a flowing emerald gown walking down a marble staircase in an art deco mansion, with golden hour light streaming through stained glass windows. Elegant female model with confident stride. Luxurious vintage interior with rich textures. Glamorous, cinematic ambiance. SFX: fabric swishing, heel clicks on marble.


**15. Timestamp Multi-Shot Sequence (VEO 3.1)**

[00:00-00:02] Close-up of a hand turning a brass doorknob slowly in an abandoned Victorian house. [00:02-00:04] Medium shot revealing a young woman entering a dust-filled room, sunlight streaming through broken windows. [00:04-00:06] Wide shot showing her walking toward a covered object in the center, dust particles dancing in light beams. [00:06-00:08] Close-up of her pulling back a white sheet to reveal an antique piano. SFX: Door creak, footsteps on wood, cloth rustling, dramatic orchestral sting.`


❌ THE 3 BIGGEST MISTAKES

MISTAKE #1: Being Vague

❌ DON'T: "A person walks down a street"

✅ DO: "A woman in a yellow raincoat takes five steps down a wet cobblestone street, stops at a café window, and peers inside. Wide shot, eye level, soft overcast lighting with blue-gray tones."

WHY: The AI needs concrete visuals. Vague = random results.


MISTAKE #2: Ignoring Time & Motion

❌ DON'T: "Someone moves quickly through a crowd"

✅ DO: "A businessman jogs three steps through a busy train station, dodges left around a group of tourists, checks his watch in the final second. Handheld tracking shot."

WHY: Specific beats and counts = consistent, believable motion. Both models struggle with complex continuous movement without clear timing.


MISTAKE #3: Forgetting the Cinematic Language

❌ DON'T: "Nice lighting, looks professional"

✅ DO: "Shallow depth of field, 50mm lens. Warm key light from camera left with soft silver bounce fill. Cool rim light from window creating separation. Anamorphic bokeh in background."