#automation prompts

Storyboard prompts optimized for AI video model workflows.

#cinematic #documentary #advertising #travel #fantasy #sci-fi #thriller #horror #drone #handheld #slow-motion #montage

Best practices

-Use the tag as the style lock and repeat it across the shot list.
-Keep each shot to one action for stable motion.
-Add a short camera cue to control framing.

Failures & fixes

-If the style is inconsistent, restate the tag in every shot.
-If motion feels noisy, simplify the action.
-If lighting shifts, add a single lighting cue and repeat it.

#automation prompts by model

Sora 2 version

Shot → Framing → DOF → Action → Lighting → Duration

Shot 1: {"main":"Dawn time-lapse: smart home awakens. Data streams visualize as flowing light between devices. Wearable detects REM cycle ending, signals coffee maker. Blinds adjust to sunrise, lights fade up matching circadian rhythm. Security AI recognizes family member approaching, unlocks door, adjusts. Framing: centered. Depth of field: shallow. Camera: slow push-in. Lighting: soft cinematic light. Duration: 4s.

Veo 3.1 version

Scene → Camera → Transition → Audio → Lighting

Scene: IoT Smart Home - Connected Device Ecosystem. Camera choreography: slow dolly. Transition: cut. Audio cues: ambient room tone. Lighting: golden hour light.

Kling 2.6 version

Scene → Action → Motion → Style → Parameters

Scene: IoT Smart Home - Connected Device Ecosystem. Motion: smooth motion. Style: templates, IoT, smart home. Parameters: quality=high, frame_rate=24fps, noise=low. Input image: reference frame.

Seedream 4.5 version

Subject → Composition → Lighting → Style → Mood

Subject: IoT Smart Home - Connected Device Ecosystem. Composition: rule of thirds. Lighting: natural soft light. Style: templates, IoT, smart home. Mood: templates, IoT, smart home.

general

Open storyboard case

general

IoT Smart Home - Connected Device Ecosystem

{"main":"Dawn time-lapse: smart home awakens. Data streams visualize as flowing light between devices. Wearable detects REM cycle ending, signals coffee maker. Blinds adjust to sunrise, lights fade up matching circadian rhythm. Security AI recognizes family member approaching, unlocks door, adjusts

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#templates#IoT#smart home#automation#connected devices#sustainability#AI orchestration#open-source#imported

Robotics Demo - Industrial Automation Showcase

{"main":"Opening shot tracks alongside massive industrial robot arm performing micro-precision welding. AR overlay displays real-time data: force feedback graphs, positional accuracy to 0.001mm, temperature readings, and AI decision trees. Split-screen reveals human operator using haptic gloves for

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#templates#robotics#automation#Industry 4.0#precision manufacturing#IoT#AI#sensor technology#open-source#imported

#automation prompt patterns

A tag page is the fastest way to find a consistent look. Each prompt here repeats the #automation cue across shots so the model does not drift. That is the core of a reliable ai video generator prompt: a stable style anchor plus a clear action beat per shot.

Use the model variants section to translate the same idea for Sora, Veo, Kling, and Seedream. This keeps your prompt pack reusable and helps you build a repeatable ai video generator prompts workflow for the #automation style.

When you remix, keep the tag as the style lock in every shot. This is the simplest way to keep a consistent ai video generator prompt while you change subjects, locations, or pacing.

FAQ

What is a automation video prompt?

A automation prompt uses style cues and camera language that match the automation tone while keeping actions short and clear.

How do I keep the style consistent?

Repeat the same style lock and lighting cues in each shot.