Ai Meme For Youtube Shorts

GLOBAL LOCK: vertical 9:16 static poster-style social promo, bold high-contrast creator-marketing layout, black background with bright yellow headline bars, two example phone-screen mockups centered in the composition, one showing a translucent human skeleton figure standing indoors and one showing the same skeleton in a domestic scene holding cookware, glossy thumbnail polish, crisp readable typography, tutorial-ad aesthetic, no camera shake, no extra elements, no watermark.

[00:00-00:02] Open on the full poster layout with a large all-caps headline reading how to make viral skeleton shorts. Two phone-style panels dominate the center: the left panel shows a translucent skeleton-like figure in a softly lit home interior, and the right panel shows a skeleton character in a more playful domestic pose, creating an immediate “viral AI content formula” feel.

[00:02-00:03] Hold the layout with a slight digital push-in so the example panels become more legible. Preserve the bright yellow headline bar, the black poster background, and the swipe-for-the-full-guide messaging at the bottom. The overall frame should still read like a reel cover or short-form promo graphic.

[00:03-00:05] Finish on the same static promo composition, optimized for mobile viewing and creator education. Keep the two skeleton examples clear, the tutorial promise dominant, and the bottom CTA visible so the final frame looks like a conversion-focused guide advertisement for AI short-form content creators.

NEGATIVE PROMPT: unreadable text, broken skeleton anatomy, extra limbs, warped phone frames, low-resolution poster, muddy contrast, duplicate panels, generic stock layout, flicker, watermark, distorted cookware, text artifacts, messy background clutter, weak CTA.

SPEECH PACK:
- Hook: Here’s how to make viral skeleton shorts like these.
- Beat 1: The format works because the character is instantly recognizable and the scenes are simple.
- Beat 2: Use a strong repeatable prompt structure and clear domestic actions.
- CTA: Swipe for the full guide.

INVARIANTS TO LOCK
- Vertical 9:16 tutorial Reel about making handmade crafting videos with AI.
- Main talking-head presenter is a young adult man in a black hoodie and backwards black cap, framed mid-shot against a dark indoor background.
- Supporting example visuals show rustic village crafting scenes in warm earthy daylight: handmade sculptures, carved figures, people working outdoors, and a surreal luxury-car-in-village juxtaposition.
- Screen recordings and phone mockups demonstrate how to source or structure the content inside an app workflow.
- Tone is “how to make viral videos” with direct platform-growth framing.

SHOTLIST
1. [00:00-00:06] Open on high-view-count handmade village visuals with bold text like HOW TO MAKE VIRAL VIDEOS, showing a green luxury sports car in a rural handcrafted setting.
2. [00:06-00:12] Presenter appears explaining the concept while phone mockups show scrolling grids of crafting clips.
3. [00:12-00:18] More examples of handmade scenes: carved statues, people working in dirt courtyards, vertical-video thumbnails with large view counts.
4. [00:18-00:26] Screen recordings display app lists, prompts, and a selected topic or generator labeled Handmade Craft.
5. [00:26-00:35] Presenter returns to explain how to open the workflow, store the idea, and turn one handcrafted niche into repeatable viral short-form content.

STYLE BIBLE
Visual style: creator-growth tutorial mixed with rustic AI-generated craft-content examples.
Camera signature: static talking-head inserts, phone UI overlays, grid thumbnails, and attention-grabbing example clips.
Lighting signature: presenter in dim neutral indoor light; supporting examples in warm outdoor village daylight.
Grade signature: social-platform contrast, bright yellow text accents, earthy browns in craft scenes, clean UI whites.
Speech style: fast, instructional, platform-native, optimized around virality and repeatability.

MASTER PROMPT
GLOBAL LOCK: Create a vertical tutorial Reel showing how to make viral handmade crafting videos with AI. Keep a young male creator in a black hoodie and backwards black cap as the talking-head guide. Intercut him with grids of short-form craft examples, phone mockups, and screen recordings. The example scenes should feature rural handmade environments with dirt courtyards, sculpted figures, artisans, huts, and high-contrast visual hooks like a green luxury sports car appearing inside a village craft scene. The whole structure should feel like a growth hack breakdown for short-form platforms.

[00:00-00:06] Open with a collage of high-performing handmade-craft-style clips in a rural village aesthetic, including a green sports car absurdly placed in the scene. Overlay bold text such as how to make viral videos.

[00:06-00:11] Cut to the presenter speaking directly to camera while a phone screen mockup beside him shows a grid of vertical craft content. He frames the opportunity as a repeatable niche, not a one-off trend.

[00:11-00:17] Show more example clips: carved statues, artisans working outdoors, and platform thumbnails with large view counts. The imagery should feel satisfying and scrollable.

[00:17-00:24] Transition into process screens: app menus, topic selection, and a prompt or tool page labeled Handmade Craft. This is the workflow proof section.

[00:24-00:35] Return to the presenter to explain how to open the niche, store the workflow, and repeat the concept across TikTok and Shorts. End with the feeling that this can be productized into a repeatable content system.

NEGATIVE PROMPT
Do not make the craft examples generic factory footage or polished luxury ads. Avoid unclear handmade action, unreadable UI, weak hook text, or lifeless presenter delivery. The contrast between rustic craft content and strategic AI workflow is the point.

SPEECH PACK
[00:00-00:12] Speaker A. Meaning: handmade craft videos can be turned into viral AI content with the right format. Delivery: direct, energetic.
TAKE_A: “Here is how to make handmade crafting videos with AI that actually go viral.”
TAKE_B: “This niche is blowing up, and the format is way easier to build than people think.”
TAKE_C: “If you want a repeatable viral niche, handmade craft content is one of the best to study.”

[00:12-00:24] Speaker A. Meaning: show examples and platform distribution across TikTok and Shorts. Delivery: tutorial pacing.
TAKE_A: “The key is packaging the visuals in the right format and pushing them across TikTok and Shorts.”
TAKE_B: “You need satisfying scenes, strong thumbnail moments, and a workflow you can repeat fast.”
TAKE_C: “This works because the visuals are simple, surprising, and easy to scale.”

[00:24-00:35] Speaker A. Meaning: the workflow can be saved and reused as a system. Delivery: practical close.
TAKE_A: “Once you set up the workflow, this becomes a repeatable content machine.”
TAKE_B: “You are not making one video, you are building a niche system.”
TAKE_C: “Use the same workflow, swap the craft scenario, and you can keep publishing.”

GLOBAL LOCK: vertical social-media promo/tutorial reel teaching viewers how to create viral matchstick-style shorts; static poster-like layout with bold headline text at top, swipe-callout at bottom, and a sequence of AI-generated matchstick or burning-object characters showcased in the center; examples include pop-culture-inspired figures, flaming drink cup character, and dark charred variants; clean creator-brand ad style; no unrelated scenes, no camera wandering, no color drift.

00:00-00:03
The reel opens with a bold tutorial poster layout introducing a “how to make viral matchstick shorts” concept. In the center, AI-generated matchstick-style characters appear side by side like examples from a creative prompt pack.

00:03-00:07
The showcased examples cycle through variations: a sponge-like cartoon-inspired figure, a pink starfish-inspired figure, and a flaming cup or beverage character with matchstick/fire aesthetics. The layout remains consistent like a swipe-worthy social ad.

00:07-00:10
The sequence ends with darker charred matchstick forms and a call-to-action style frame encouraging viewers to get the full guide or tutorial. The overall feel stays instructional, promotional, and optimized for social scrolling.

NEGATIVE PROMPT:
landscape format, naturalistic vlog, complex background scenes, no text layout, low-detail character examples, random unrelated footage, soft cinematic storytelling, chaotic motion blur, messy UI clutter, muted unreadable typography

MASTER PROMPT
GLOBAL LOCK: Vertical tutorial reel about making explainer videos with generative AI. Use a host in a cap, cartoon examples, script pages, tool dashboards, character sheets, and output previews. Keep the pace educational and process-driven.

[00:00-00:05] Open on text and visual examples that frame the topic as how to make explained videos.
[00:05-00:12] Show the host, profile-style context, and interface screens.
[00:12-00:20] Move through scripts, planning docs, and design boards.
[00:20-00:28] Show character sheets, tool dashboards, and generated assets.
[00:28-00:36] End on output recap and workflow close.

NEGATIVE PROMPT
Avoid unreadable UI, inconsistent characters, weak text legibility, random workflow jumps, and robotic host delivery.

SPEECH PACK
Open by framing the topic as how to make explained videos. Walk through the workflow from scripts and references to characters, tools, and output. Close by reinforcing that the process is repeatable for creators and brands.

GLOBAL LOCK: vertical 9:16 AI creator tutorial reel, one consistent young adult male host with light skin, slim build, black backwards baseball cap, black hoodie, seated at a desk with a black microphone and red accent light, dark studio background with magenta-blue edge lighting, intercut with viral cartoon-short examples, Instagram proof screens, GPT directories, prompt text blocks, and dark AI image/video creation interfaces. The showcase content features nostalgic cartoonized characters rendered like soft toy figurines or stylized animated dolls in warm cozy interiors, with cinematic warm light, childlike proportions, and storybook emotion. Same male speaker throughout, dry close-mic narration, clear subtitle words, brisk step-by-step educational pacing.

[00:00-00:05] Open with a fast collage of viral cartoon-short examples and bold poster text promising viewers they can create cartoon shorts with AI. Show multiple nostalgic character variants in cozy rooms, including plush-like toy characters and recognizable archetypes reimagined as warm cinematic cartoon figures. Intercut the host talking directly to camera to establish the tutorial structure.

[00:05-00:10] Continue with example panels and proof-of-performance imagery, including Instagram account screens and posts with strong view counts. The host explains that nostalgic cartoon-style shorts can attract millions of views because they combine familiar characters with emotionally soft, cinematic rendering. Subtitle words highlight viral, nostalgic, millions, and views.

[00:10-00:16] Shift into the planning stage. Show logos and GPT search interfaces while the host explains that the first step is to use ChatGPT and specialized GPTs to generate the exact prompts for the cartoon style. The workflow emphasizes browsing GPTs rather than freehand guessing, keeping the method systematic and repeatable.

[00:16-00:24] Demonstrate a structured prompt-building phase. White screens show GPTs being explored and selected, then detailed prompt text appears, including “locked prompt” style blocks for cartoon nostalgia, environment, and subject direction. The host explains that the prompt needs to lock the style, room, and emotional tone before generating images.

[00:24-00:32] Move into the image-generation tools. Show a dark all-in-one creation interface and brand or model selections such as OpenArt, NanoBanana, or Flux-type image models. The host explains that you should first create still images in a clean stylized aesthetic before attempting motion.

[00:32-00:40] Demonstrate configuration choices like 9:16 framing, 2K output, and image guidance or generation settings. Show the first generated cartoon images: toy-like or puppet-like characters in cozy warm-lit interiors. The host explains that these stills become the visual basis for the final short-form animation.

[00:40-00:48] Transition into the AI video stage with dark model panels and Kling AI visible. The host explains how to take the generated image, upload it into the video model, and preserve the character identity while adding subtle motion. The tutorial remains practical and interface-focused rather than abstract.

[00:48-00:56] End on the final cartoon outputs: a pair of cozy character figures together, then a seated single character, then a warm window-side close-up with soft cinematic light. Return to the host full-screen for a CTA encouraging viewers to follow or comment for the workflow, making the clip feel like a complete creator-growth tutorial.

NEGATIVE PROMPT: broken doll anatomy, uncanny facial distortion, unreadable prompt text, muddy lighting, low-resolution textures, duplicated host, inconsistent cartoon style, warped hands, unstable eye placement, flat plastic shading, robotic narration, clipping, harsh sibilance, watermark, jittery transitions, aspect-ratio drift.

SPEECH PACK:
- Hook: Here’s how to create viral cartoon shorts with AI.
- Beat 1: Start in ChatGPT and use GPTs to build exact locked prompts for the cartoon style you want.
- Beat 2: Generate the still images first, then set the format to 9:16 and keep the output clean and cinematic.
- Beat 3: Move those images into Kling or your video model to animate them without breaking the character style.
- CTA: Follow for more, or comment if you want the workflow.

GLOBAL LOCK: preserve a creator-led talking-head tutorial format mixed with vertical phone screen recordings. Keep one young male creator in a backward black cap and dark hoodie speaking directly to camera in a studio setup with a microphone. Intercut iPhone-style screen captures showing ChatGPT/OpenAI image workflow steps, uploaded object photos, prompt entry, and AI video generation screens. Maintain a practical “make from your phone” educational reel structure. No random B-roll, no unrelated tools, no logo overlays beyond app UI already present in the source.

Create a 37.8-second social-first AI tutorial reel showing how to turn ordinary phone photos into animated AI character videos. Begin with a hook using a simple hand-held object photo and bold on-screen teaching posture from the creator. Then show phone interfaces: photo selection, ChatGPT or image-tool screens, prompt entry, image transformation results, switching to an AI video tool, uploading the generated image, entering a motion prompt, and generating the final animated output. Use repeated face-cam segments where the creator explains the steps and emphasizes that the workflow can be done from a phone.

Include the specific examples visible in the source: tiny object/food photos held in a hand, ChatGPT app icon and mobile interface, typed prompts that turn objects into cute expressive characters, a generated pear-like baby character image, a switch to another AI generation interface, upload and prompt steps for video, and a final generated moving result shown on-screen. Preserve the educational pacing and creator-marketing vibe.

SHOT SEGMENTS:
[00:00-00:06] Hook with object photos in hand and creator talking-head intro about making AI content from your phone.
[00:06-00:14] Mobile screens show ChatGPT / image workflow setup, app screens, and prompt entry.
[00:14-00:22] Creator explains the key steps while on-screen phone UI shows prompt refinement and generated object-to-character image outputs.
[00:22-00:30] The tutorial switches to an AI video tool, showing upload, prompt, and generation steps from the phone.
[00:30-00:37.8] Final result displays the generated animated character clip, while the creator closes with a call to try the workflow.

ENVIRONMENT: creator desk/studio face-cam plus crisp mobile screen recordings. CAMERA: direct-to-camera presenter shots alternating with full-screen phone UI captures. LIGHTING: clean creator-studio lighting on face-cam; bright legible phone UI on inserts. MOTION: tutorial pacing, finger taps on phone UI, creator emphasis gestures, no cinematic narrative scenes.

NEGATIVE PROMPT: generic AI ad montage, unrelated tools, desktop-only workflow, no phone UI, missing creator face-cam, subtitles replacing the actual visible UI, blurry screens, watermark, logo overlays.

SPEECH PACK: creator-to-camera tutorial speech implied, but do not transcribe captions here.

GLOBAL LOCK: vertical 9:16 AI creator tutorial reel, one consistent young adult male host with light skin, slim build, black backwards cap, black hoodie, seated at a desk with a black microphone and red accent light, dark studio backdrop with magenta-blue edge lighting, intercut with mobile screenshots, GPT interfaces, and AI video-generation UIs, plus a consistent translucent skeleton character wearing a red-and-white Santa hat in domestic interior scenes, crisp subtitle words, fast educational pacing, dry close-mic narration, same male voice throughout.

[00:00-00:04] Open with a fast collage hook showing viral skeleton-video examples and bold poster text about making viral videos. Include short clips of a translucent skeleton character in indoor lifestyle scenes, one wide-eyed close-up, and a host talking-head frame, establishing that this is a practical creator tutorial with proof of outcome.

[00:04-00:08] Show more examples of skeleton-content performance and creator-economy proof, including mobile screenshots of account pages, reward or payout dashboards, and social posts. The host explains that the niche is working and transitions into how to build it, speaking quickly and directly.

[00:08-00:14] Cut to the host full-screen in the studio, then to ChatGPT or GPT search interfaces on mobile or desktop. The tutorial explains that you should start with GPTs or prompt helpers and build the workflow step by step rather than improvising. Subtitle words emphasize functional phrases like ChatGPT, GPTs, and prompts.

[00:14-00:20] Show the prompt-building phase in detail. White UI screens display prompt fields and typed instructions, implying a structured set of six prompts or a multi-part setup. The host stays calm and procedural, telling the viewer exactly what to type and how to format it.

[00:20-00:28] Transition into AI creation tools. Show a dark interface with image or video generation modules, side panels, and tool tabs. The user selects image creation first, then navigates toward Kling or a similar generator. The host explains the order of operations: create stills first, then move into motion.

[00:28-00:36] Demonstrate the reference-image workflow. The interface shows image guidance or reference upload controls, resolution settings, and vertical aspect-ratio choices like 9:16 and 2K. The host narrates the exact setup sequence and stresses consistency across outputs.

[00:36-00:44] Show the generated skeleton images in a clean preview grid or card layout: a translucent skeleton wearing a Santa hat in a home interior, including a supplement-container scene. The visuals are slightly absurd but commercially legible. The host explains that these outputs can now be animated into finished clips.

[00:44-00:51] Finish by showing the final skeleton outputs again, including the supplement-jar image and another upright kitchen or room scene, while the host closes with a practical CTA. The last moments should feel like a teachable end-to-end workflow summary for making viral skeleton videos rather than just a meme montage.

NEGATIVE PROMPT: deformed skeleton anatomy, unreadable UI text, broken hands, distorted supplement jar label, inconsistent Santa hat, flickering generated images, low-resolution previews, fake app layouts, duplicate host, robotic narration, harsh sibilance, clipping, lip-sync mismatch, random watermarks, noisy backgrounds.

SPEECH PACK:
- Hook: Here’s how people are making viral skeleton videos and how you can do it too.
- Beat 1: Start with GPTs and use a structured prompt workflow instead of guessing.
- Beat 2: Write the full prompt set first, then generate your still images before moving into video.
- Beat 3: Add a reference image, set the frame to 9:16, pick a clean resolution, and run the sequence in Kling.
- CTA: If you want the workflow, save this and copy the setup.

GLOBAL LOCK:
- Format: vertical 9:16 short-form tutorial reel, creator-education pacing, black background UI inserts, high contrast social video polish.
- Keep one consistent male creator for all talking-head shots: young adult male, light skin, black backwards baseball cap, black hoodie/jacket, seated at desk, direct-to-camera framing, confident tutorial delivery.
- Keep one consistent demo subject inside the generated example image/video: a plush panda lying on a worn circular rug in a dim rustic room with warm overhead spotlight, scattered objects around the floor, soft moody shadows.
- No character drift, no costume drift, no sudden age changes, no extra presenters, no unrelated cutaways.

SHOT TIMELINE:

[00:00-00:03]
Talking-head intro. Creator sits centered against dark background and speaks straight to camera with energetic tutorial tone. Large editorial text overlays summarize the hook: make cinematic scenes from your phone. Insert fast teaser flashes of social posts showing the panda image/video result and yellow headline blocks.

[00:03-00:06]
Phone close-up UI. Vertical smartphone screen fills frame. A circularly framed panda image appears inside a social-style composition. Overlaid kinetic words emphasize the concept of turning a phone photo into a scene. Screen recording aesthetic should remain crisp and legible.

[00:06-00:09]
Back to talking head. Creator gestures lightly while saying the workflow starts by opening the app. Tight chest-up framing, direct eye contact, subtle head movement, clean synced speech.

[00:09-00:12]
Phone settings interface. User taps through app menu and settings-like pages to reach AI generation tools. Interface is dark mode, minimal, modern, with distinct list items and icons.

[00:12-00:16]
Prompt-building section on phone. Search field, model selection, and text-entry screens appear. User searches for GPT/prompt helper style tools, selects options, and opens a text area. On-screen rhythm should clearly communicate “build the prompt first.”

[00:16-00:20]
Text drafting flow on phone. Long paragraph prompt appears in a dark text box. User chooses/copies prompt text, then taps through action buttons. Highlight the exact motions: choose, copy, click, and go. The UI should feel like a real mobile workflow, not abstract fake panels.

[00:20-00:24]
Model/generation interface. User pastes the prompt into an AI image/video generation tool, selects the correct model or preset, and taps generate. Show dark-mode tool UI with image prompt area, buttons, and tabs.

[00:24-00:28]
Example asset preview returns. The panda scene appears again as a generated image/video preview. The phone screen cycles from prompt entry to generated result. Add supporting overlay words that reinforce the logic of generating the scene from a single photo.

[00:28-00:32]
Phone-to-output transition. The generated panda shot becomes larger and more immersive, as if stepping out of the interface into the final cinematic frame. Keep the panda, rug, spotlight, and room layout consistent with the reference image.

[00:32-00:35]
Talking-head recap. Creator returns on camera and explains the final step or CTA. He maintains same wardrobe and setup, speaking with persuasive, practical creator-teacher energy.

[00:35-00:39]
Final CTA and social proof. Talking-head remains center frame while comment-style overlays and platform UI elements appear below, suggesting engagement and repeatability. End on a clean, punchy tutorial finish.

VISUAL STYLE:
- Social tutorial reel, fast but readable editing.
- Mix talking-head shots with direct phone-screen recordings.
- Dark UI, white text, occasional high-contrast yellow hook text.
- Clean mobile creator aesthetic with authentic app interaction.

CAMERA AND EDITING:
- Talking-head: locked tripod or subtle digital push-in.
- Phone segments: full-screen mobile capture with smooth taps and transitions.
- Fast snap cuts between explanation, interface, and result.
- Keep chronological clarity so the viewer can follow the workflow in order.

SPEECH PACK:
- Spoken language: English.
- Creator voice: young male creator educator, confident, concise, practical, slightly hyped but not cheesy.
- Delivery style: short tutorial phrases, clear CTA emphasis, social-video pacing.
- Lip sync must stay natural and tightly aligned during talking-head shots.

NEGATIVE PROMPT:
- No extra hands floating over the phone.
- No unreadable UI gibberish replacing app text.
- No switching creator identity between talking-head shots.
- No panda changing species, color, pose logic, or room layout between preview and final output.
- No random additional animals or fantasy objects appearing in the room.
- No horizontal framing, no cinematic letterboxing, no documentary cutaways.
- No blurred phone screens, broken typography, or unusable interface text.

GLOBAL LOCK: A vertical 9:16 creator tutorial reel teaching how to make first-person time-travel vlogs with AI. The lower half of the video holds a young male creator speaking directly to camera in a dark studio with red side lighting, black hoodie or jacket, and a backward cap. The upper half alternates between social-proof examples, smartphone search screens, browser pages, prompt-writing documents, and final generated historical selfie videos. The core output style is a realistic vlog shot where a modern creator appears to be filming himself inside major historical moments such as Viking England, the Wild West, or D-Day. The entire reel should feel practical and system-driven, built for viewers who want repeatable viral history content.

[00:00-00:12] Open on two successful example clips above the speaker: one where a young woman appears to selfie-vlog among Vikings in England in 865 AD, and another where she appears in a Wild West town in 1880. Both examples should look like genuine first-person historical vlogs with modern camera behavior but era-correct surroundings. View counts or social-proof markers should be visible to show that this content format already works.

[00:12-00:28] Move into the workflow entry step through a smartphone UI. Show a phone search screen with “Time Travel” typed in, then a Google-like result page for “Higgsfield AI.” The creator below explains the process in clear terms, making the tutorial feel accessible. The emphasis is on how surprisingly simple the setup is once the right tools are known.

[00:28-00:46] Show prompt-building and script-generation stages. Display a prompt document or text page labeled for text-to-video prompts, with entries for historical scenarios like landing craft before a beach assault or other era-specific vlog scripts. The interface should feel like a practical creator workflow rather than a polished marketing demo. The point is that the output begins with scripting the right first-person historical situation.

[00:46-01:01] End on a dramatic finished example where the creator appears to be selfie-vlogging during a World War II beach landing, with smoke, soldiers, landing craft, and battlefield chaos behind him. Overlay a small thumbnail or packaging element suggesting how the final video can be turned into a clickable social or YouTube asset. The result should feel both absurd and convincing: modern vlog behavior dropped into a massive historical event.

NEGATIVE PROMPT: static history painting look, third-person documentary framing, no selfie perspective, bland phone UI, generic prompts, inconsistent main character face, casual modern backgrounds, low-detail crowds, weak historical setting, no social-proof packaging.

SHOT PROMPTS: Viking time-travel selfie vlog; Wild West selfie vlog; phone search Time Travel; Higgsfield AI search result; ChatGPT prompt document; text-to-video historical script; D-Day beach selfie vlog; viral history series tutorial.

SPEECH PACK: One male speaker only. Tone is practical and energetic, emphasizing simplicity, virality, and repeatability. Stress “time travel vlogs,” “Higgsfield AI,” “ChatGPT prompts,” and the historical selfie angle.

GLOBAL LOCK: vertical 9:16 AI creator tutorial reel, one consistent young adult male host with light skin, slim build, black backwards cap, black hoodie, seated at a desk with a black microphone and red accent light, dark studio background with magenta-blue rim lighting, intercut with car-evolution example posters, mobile screenshots, GPT interfaces, dark all-in-one image/video creation tools, and generated desert-road car imagery. The demo content features vehicle evolution concepts, classic and futuristic cars, open desert highways, sand dunes, bright daylight, and clean automotive framing. Same male speaker throughout, dry close-mic narration, fast subtitle-led teaching cadence.

[00:00-00:05] Open with a high-speed collage of automotive AI examples presented as viral-video proof. Show poster-like before-and-after car evolution covers, nostalgic classic cars transforming toward futuristic concepts, and desert-road vehicle scenes. Bold headline text promises viewers they can learn how to make viral videos like these. Intercut the host’s face to establish the tutorial format immediately.

[00:05-00:10] Continue with proof imagery and example covers labeled around car evolution. The host talks directly to camera, explaining that the format works because viewers instantly understand transformation: old car to new car, classic to futuristic, or ordinary vehicle to cinematic concept. Keep the motion quick and the frame text readable.

[00:10-00:16] Transition to the planning stage. Show ChatGPT logos, GPT icons, and assistant-search screens while the host explains that the first step is to ask a GPT for the exact workflow. The tutorial language emphasizes that only three steps are needed before the viewer can start building the scene.

[00:16-00:23] Show the prompt-building phase in white interfaces. A GPT is asked to generate structured car-evolution prompts, likely split into at least two text prompts and a setup framework. The host explains that you should define the car concept, location, and visual progression before touching the generation tools.

[00:23-00:31] Move into the still-image stage. Show a clean desert road image with sand dunes and a car framed in vertical composition. The host explains that this still image becomes the backbone of the final sequence. Keep the composition readable, with the road stretching into the background and the vehicle centered or slightly off-center for a cinematic result.

[00:31-00:40] Demonstrate dark AI creation interfaces where the user configures image tools, chooses the 9:16 format, and sets a clean resolution such as 2K. The host explains how to bring the image into the tool, keep the scene vertical, and prepare it for a controlled video-generation pass rather than a random output.

[00:40-00:48] Show the reference-image and prompt handoff into the final video model. The interface suggests a model menu including VEO 3.1, plus image-reference panels and text prompt fields. The host explains that the video model should preserve the desert-road composition while evolving the car in a visually convincing way.

[00:48-00:56] Finish on the generated outputs: a sleek car driving or sitting on a desert highway, followed by a stylized evolution result that feels more advanced or futuristic. Return briefly to the host in the studio for a closing CTA, making the final beat feel like a complete end-to-end workflow for car-evolution AI videos.

NEGATIVE PROMPT: warped car geometry, broken wheels, inconsistent reflections, unreadable UI text, distorted road perspective, duplicated host, flicker, temporal jitter, low-resolution vehicle details, muddy dunes, fake dashboard screens, robotic narration, clipping, harsh sibilance, watermark, aspect-ratio drift.

SPEECH PACK:
- Hook: Here’s how to make viral car evolution videos with AI.
- Beat 1: Start in ChatGPT and let a GPT generate the exact car-evolution prompts for you.
- Beat 2: Create the still image first, then lock the scene in a vertical desert-road composition.
- Beat 3: Set the format to 9:16, use a clean resolution, and move the image into VEO 3.1 or your preferred video model.
- CTA: Save this if you want to build car videos with AI.

GLOBAL LOCK: A vertical 9:16 tutorial Reel, approximately 55 seconds, teaching creators how to make first-person “time travel vlog” videos with AI. The format alternates between three visual layers: (1) viral sample clips styled as selfie vlogs recorded inside different historical eras, with a modern creator holding the camera at arm’s length and speaking to viewers while standing inside convincing period environments such as ancient Pompeii, plague-era London, or ancient Egypt; (2) a talking-head male host in a black cap and dark jacket/hoodie, centered against a dark background with red-magenta accent lighting and studio microphone visible; and (3) screen recordings of research prompts, AI tool menus, model selection screens, and generation dashboards showing how the workflow is assembled. The historical vlog examples should feel UGC and immediate: casual arm-extended framing, reactive facial expression, period background detail, and humorous or surprising captions like “I tried to warn the people of Pompeii” or “I visited London during the Black Death.” The tutorial tone is direct, tactical, and creator-friendly.

[00:00-00:05] Open with two or more viral time-travel vlog examples stacked above the host. Show a woman filming herself in ancient Pompeii and another person filming themselves in plague-era London, each with caption-style text embedded in the sample. The host below introduces the concept with bold text like TIMETRAVEL VLOG and immediately frames it as a repeatable AI content format.

[00:05-00:12] Continue with more sample cards, including an ancient Egypt selfie-vlog shot near the pyramids with humorous “POV: I time-traveled…” captioning. Keep the host visible below, speaking quickly while the audience sees the end result before the process.

[00:12-00:18] Transition to research/prompt structure. Show a white text document or GPT-style planning screen listing inputs such as historical event, era, location, future scenario, or fictional world. The text promises outputs like cinematic text-to-image prompts, text-to-video prompts, spoken vlog dialogue, and background action. The host explains that you first decide the time/place/event.

[00:18-00:24] Show additional workflow pages or prompt-planning screens that suggest using a custom GPT or research agent to generate the historical setup, dialogue, and shot instructions. The host remains steady, centered, and instructional, while the UI reinforces that the process is systematic.

[00:24-00:31] Move into the image-generation stage. Show a dark creative workspace with model selection (for example Seedream 5.0 Lite or other image tools), “Create Image” style tabs, visual reference upload zones, and prompt boxes. The host explains that you create still images first before moving to video.

[00:31-00:38] Cut through tool chain screens implying additional steps: OpenArt or similar image creation, ElevenLabs for voice-over, and CapCut or editing steps. The important point is that the final time-travel vlog is modular: script, image, animation, voice, edit. Keep the visuals practical rather than abstract.

[00:38-00:46] Show video-generation dashboards where historical selfie frames are converted into short clips. Example thumbnails display the host inside sandy excavation scenes or period streets, with output duration settings visible. The host explains that you use short durations and build several clips for one vlog.

[00:46-00:55] End by returning to the strongest time-travel examples while the host summarizes the workflow. The final feeling should be that anyone can choose an era, generate a selfie-style historical perspective, add voiceover, and turn it into a serialized creator format.

NEGATIVE PROMPT: avoid polished cinematic third-person shots, avoid generic documentary history footage, avoid inconsistent protagonist identity between clips, avoid modern background objects leaking into historical scenes, avoid unreadable UI panels, avoid lifeless history tableaux, avoid missing selfie-arm framing, avoid flat educational tone, avoid overlong text blocks on screen, and avoid making the workflow feel more complex than the creator can reproduce.

GLOBAL LOCK: A vertical 9:16 tutorial Reel, approximately 27 seconds, combining creator talking-head explanation, dark UI screen recordings, and a viral horror-series example built around one recurring creepy toy-like character. The host is a young man wearing a dark cap and dark top, speaking directly to camera against a dark background with faint purple-magenta lighting, framed in a medium close-up. The tutorial visuals should show social media or app screens, workflow dashboards, and category or preset panels, but the strongest visual anchor is the horror-series example: a small eerie puppet or doll-like creature with oversized head, textured cloth or weathered skin, button-like or hollow eyes, and a handmade uncanny look, appearing in dimly lit hallway and room scenes with warm practical light and cinematic shadows. The horror series must feel serialized: same character, same moody house environment, different actions or staging beats. Text overlays and UI inserts explain how to structure the workflow so the series can repeat and scale.

[00:00-00:04] Open on the host with large text announcing how to make a viral horror series with AI. Intercut with a fast glimpse of the creepy doll character in a warm-shadowed hallway or room. The host should feel direct and instructional, while the horror image creates immediate emotional hook.

[00:04-00:08] Cut into interface and inspiration screens: social-style panels, dashboard cards, or visual boards implying topic research and setup. The host continues speaking while the Reel positions the horror series as something intentionally designed, not random spooky art.

[00:08-00:12] Show workflow panels or app screens that suggest story setup, asset organization, or prompt planning. The pacing is quick, but the tutorial point is clear: viral horror works better when you repeat one strong character and one recognizable environment.

[00:12-00:16] Reveal the core horror example more clearly: the same unsettling toy character standing inside a dim wooden interior, lit by warm lamps or doorway spill, with long shadows and a cinematic storybook-horror tone. Use several variations that maintain character consistency while changing pose and scene placement.

[00:16-00:20] Emphasize series construction through repeated shots of the creature in adjacent spaces, such as doorway, hallway, or room corners. The host explains how to turn one creepy concept into many episodes, shorts, or visual beats. Keep the atmosphere unsettling but not gore-heavy.

[00:20-00:24] Show more UI or workflow proof: category grids, option panels, or generation pages that imply the creator is organizing prompts and outputs for serialized release. The host remains the guide, but the doll character remains the emotional proof.

[00:24-00:27] End on the strongest horror character examples, making the series concept feel expandable. The final impression should be that one creepy mascot-like entity can carry multiple viral micro-episodes if the look and world stay consistent.

NEGATIVE PROMPT: avoid gore, avoid random monster design changes, avoid bright flat lighting, avoid generic zombie aesthetics, avoid cartoon comedy tone, avoid overcomplicated backgrounds, avoid inconsistent doll proportions, avoid plastic toy sheen, avoid unreadable dashboard UI, avoid cluttered text, and avoid breaking the “repeatable serialized horror mascot” concept.

MASTER PROMPT
GLOBAL LOCK: Vertical creator tutorial reel about making rust-cleaning videos with generative AI. A male host in a cap speaks to camera while the reel alternates between rusty object examples, cleaning transformations, tool screens, and before-after visuals. Keep the process clear and the transformation obvious.

[00:00-00:05] Open on bold text and rust-cleaning examples.
[00:05-00:12] Show the host plus rusty object references and early before-after visuals.
[00:12-00:20] Move through workflow pages and tool screens.
[00:20-00:30] Show more transformation outputs from rusted to clean metal.
[00:30-00:44] End with recap examples and workflow close.

NEGATIVE PROMPT
Avoid muddy textures, weak before-after contrast, unreadable UI, inconsistent object geometry, and robotic host delivery.

SPEECH PACK
Open by framing the topic as how to make rust-cleaning videos. Walk through references, tools, prompts, and transformations. Close by reinforcing the workflow and creator use case.

Create a short-form creator tutorial video about how to make cinematic AI clips from simple ideas. The piece should feel like an Instagram Reel or TikTok posted by an AI filmmaking educator, combining direct-to-camera instruction with polished cinematic sample shots and interface cutaways. Use a confident creator host in a dark studio or moody workspace, speaking naturally to camera while explaining a repeatable workflow for generating cinematic AI videos. The pacing should be fast, sharp, and social-first, with frequent visual resets to keep attention high.

Open with a strong hook where the creator talks directly to camera and promises to show viewers how to make cinematic AI clips that feel dramatic, polished, and scroll-stopping. Then cut into multiple example shots that look like finished outputs: moody action moments, dramatic close-ups, atmospheric character scenes, and premium-looking cinematic frames. Intercut those examples with prompt panels, tool UI, timeline views, or settings screens so the workflow feels grounded in real AI video creation rather than abstract inspiration.

The host should stay visually consistent across talking segments: same person, same wardrobe, same lighting setup, same direct creator-teacher tone. Their performance should feel natural and creator-native, not overly scripted. They should gesture casually, point toward on-screen examples, and deliver the lesson with energetic clarity, like someone used to teaching AI video tricks on social media.

The visual design should alternate between two clear modes. Mode one is the tutorial studio setup: dark background, controlled lighting, crisp face detail, shallow depth of field, subtle color accents, and a premium creator-desk atmosphere. Mode two is the cinematic demo footage: dramatic compositions, intentional movement, filmic contrast, moody lighting, and stronger environmental storytelling. Keep cutting between those modes so the audience always sees both the result and the process.

Keep the entire piece optimized for vertical video. For talking-head sections, use close-ups and medium close-ups with subtle push-ins or light handheld energy. For the cinematic examples, vary the framing with wides, dramatic close-ups, push-ins, tracking shots, and controlled motion that sells the idea of “cinematic” without becoming chaotic. Everything should feel curated and premium.

Lighting is important. The host footage should use flattering key light with soft falloff and a clean but moody creator-studio look. The cinematic sample shots should lean harder into contrast, rim light, atmosphere, practicals, and dramatic highlight control. The overall grade should feel modern, contrasty, and polished, with rich blacks, sharp visual separation, and subtle filmic texture.

Include insert shots of prompts, settings, or example workflow screens to reinforce the educational angle. These moments can show how ideas become prompts, how cinematic references are structured, or how the creator chooses scenes and visual style. The UI should feel real and useful, not decorative.

The edit should stay fast and social-first: hook, creator explanation, cinematic example, interface proof, another teaching beat, then more examples. Use cuts, punch-ins, overlays, and visual comparison moments so the viewer always feels momentum. The final result should feel like a practical creator tutorial that teaches viewers how to make cinematic AI clips while also showcasing enough premium output to inspire them to try the workflow themselves.

GLOBAL LOCK: Split-screen layout. The top 40% of the frame is a static, dark-themed graphic with bold white text reading "4: HOW TO GET ACCESS" and smaller subtext below it. The bottom right corner has a persistent white text "GET ACCESS" with a pointing hand icon. The bottom 60% of the frame is a dynamic screen recording of a desktop web browser. The visual style is crisp, high-resolution digital UI capture. No camera movement, only mouse cursor movement and UI transitions within the browser window.

[00:00–00:02] The bottom browser window shows a dark-themed new tab page. A mouse cursor moves to the address bar at the top. The text "creator.reka.ai" is rapidly typed into the address bar.
[00:02–00:05] The browser window cuts to the YouTube homepage (light mode). The search bar shows "hormozi". The cursor moves down and clicks on a video thumbnail featuring a bearded man with a baseball cap (Alex Hormozi style) with the title "Thank Me Later".
[00:05–00:07] The browser window shows the YouTube video playing briefly. The cursor moves to the address bar, highlights the YouTube URL, and copies it. The browser instantly cuts back to the dark-themed AI tool interface.
[00:07–00:13] In the AI tool interface, the cursor clicks into a text field and pastes the YouTube URL. A settings menu appears below. The cursor clicks a toggle switch for "Captions" turning it purple, then clicks a toggle for "Hashtags". The cursor moves to a prominent purple button labeled "Make Magic" and clicks it. A loading progress bar briefly appears.
[00:13–00:21] The AI tool interface transitions to a results dashboard. Several vertical video thumbnails appear in a grid. The thumbnails show the bearded man from the YouTube video, now formatted vertically with large, bold captions over his chest. The mouse cursor hovers over the first thumbnail, causing it to play silently. The cursor then moves to hover over the second thumbnail. The top static graphic remains unchanged.

A creator-led vertical tutorial explains how to build a viral AI-generated TikTok series. The video combines talking-head instruction, account examples, and screen-recorded walkthroughs. Early on, the presenter introduces a successful anime-style storytelling account as proof of concept, showing follower counts, monthly growth, and examples of short serialized episodes built around recurring characters and cinematic scenes. He then breaks down the workflow using tools such as ChatGPT for scripting, image-generation platforms for visual development, and video-generation tools like Higgsfield or Kling to animate shots, change camera angles, and turn still frames into repeatable episode content. The tutorial focuses on consistency, character-driven storytelling, scene generation, motion design, and how to convert single-shot outputs into a coherent multi-video series optimized for short-form social media.