u/Fresh-Resolution182

prompt:

0.0–1.5s: Low-angle medium close-up. The camera is aimed at the chin, neck, and chest, with most of the face out of frame. She tilts her head slightly back. The cardigan is open, and the camisole neckline and necklace are clearly visible. Background includes a white wall, picture frame, and dark door. The phone is obviously being held too low.

1.5–3.0s: The camera suddenly lifts upward into a close face shot. She looks into the camera with her lips slightly parted, raises her right hand behind her ear to adjust her hair, and the cardigan sleeve occupies the right side of the frame. Her expression shifts from slightly open-mouthed to a soft smile.

3.0–4.5s: Tight close-up stays steady on the face. Her right hand remains behind her head, head slightly tilted, faint smile, eyes locked on the lens. A few loose strands of hair rest against her cheek.

4.5–6.0s: She leans forward and the camera follows slightly downward. The cardigan, camisole, and jeans become visible. Her right hand moves from behind her ear to in front of her chest, as if pointing toward the camera or adjusting the phone. She keeps looking into the camera with a faint smile.

6.0–7.5s: She continues leaning forward, gaze dropping lower. Her right hand reaches toward the lens direction. The frame shakes noticeably and briefly loses focus, as if the phone is being set down or pulled closer. The doorframe in the background becomes clearer.

7.5–9.0s: The camera lifts back up to above chest level. Both arms cross the lower part of the frame, and the sleeves are visually prominent. Her mouth is slightly open, as if humming softly to the rhythm, with no clearly readable spoken dialogue. Her hair is slightly looser.

9.0–10.5s: Pull back into a normal selfie medium shot. She stands upright and smiles at the camera. The background now includes a dark cabinet surface, a chair, and a silver bag, suggesting she has turned or moved slightly. Her left hand reaches toward the camera.

10.5–12.0s: Suddenly moves into an extreme close-up of the lower half of the face. Her hand props against her cheek. The tip of the nose, lips, and pearl earring fill the frame. She smiles faintly and looks slightly off-camera. Motion blur is noticeable.

12.0–13.5s: Still extreme close-up, now from the lower side of the face. Her mouth is open with teeth visible, and her hand rises to her ear to adjust her hair. Head slightly lowered, as if laughing or speaking softly, but with no intelligible dialogue.

13.5–15.2s: Returns to a front-facing close-up for the ending. She looks into the camera with a faint smile. The cream-colored sleeve blocks the lower half of the frame, covering the chest area. Slight motion blur remains, ending on an intimate eye-contact moment.

Overall rhythm: not a single continuous take, but rather “camera low on the body → suddenly lifted into the face → lowered / pulled back slightly → suddenly pushed into extreme close-up.” Handheld shake, beat-synced cuts, natural casual phone-shot energy.

made with seedance 2.5 the output is really fantasy

Style & Visual Direction

Cinematic 3D animation, expressive character acting, vibrant fantasy landscapes, smooth camera movements, detailed textures, and 16:9 widescreen composition.

Maintain a consistent turtle design throughout the entire video: green skin, a brown patterned shell, large brown eyes, and a red scarf. Keep the character's proportions, colors, facial features, and accessories identical across all scenes.

Scene 1 (0–4s): The Journey Begins

A tiny turtle walks along a rocky trail through a breathtaking green valley surrounded by towering cliffs and distant mountains. Golden sunlight illuminates the landscape. A low-angle tracking shot follows the turtle, emphasizing its small size against the vast environment.

Scene 2 (4–7s): A Pile of Autumn Leaves

The turtle discovers a pile of golden autumn leaves. Curious, it dives into the pile and pops back out with leaves scattered across its head. A close-up captures its adorable, surprised expression.

Scene 3 (7–10s): Eyes on the Horizon

The turtle smiles, shakes off the leaves, and looks toward the winding path ahead. Cinematic close-up, soft lighting, subtle facial animation, and a sense of renewed determination.

Scene 4 (10–14s): The Wooden Cart

The turtle climbs into a small wooden cart. The cart rolls down the winding dirt trail, with its wheels rotating naturally. The turtle looks excited as a smooth tracking shot follows alongside the moving cart.

Scene 5 (14–17s): The Giant Leaf

Near a dramatic cliff, the turtle discovers an enormous green leaf. It lifts the leaf overhead as the wind gently catches it. The turtle gazes toward a distant mountain peak, imagining the possibilities.

Scene 6 (17–21s): A Leap of Faith

The turtle leaps from the ledge, holding the giant leaf like a glider. Its red scarf flutters in the wind as it floats above the spectacular valley. A sweeping aerial camera movement reveals the towering cliffs and breathtaking scenery below.

Scene 7 (21–24s): Unexpected Turbulence

The turtle glides between rocky formations but approaches a sharp mountain peak. Its expression shifts from excitement to surprise as it struggles to steer the leaf. A dynamic tracking shot captures the playful tension without losing visual continuity.

Scene 8 (24–27s): Ready to Try Again

The turtle lands safely beside lush foliage, with the giant leaf resting nearby. After a thoughtful pause, it smiles with renewed determination. Gentle close-up, warm cinematic lighting, and expressive character animation.

Scene 9 (27–30s): The Dream Continues

At sunset, the turtle looks toward a distant checkered flag atop a mountain. The camera slowly pulls back across the glowing valley, creating an emotional and uplifting ending.

Display the closing text:

“Same dream. Next attempt!”

Global Instructions

• Preserve character identity, proportions, colors, and accessories across all scenes.
• Maintain consistent environmental details and visual continuity.
• Use smooth transitions, believable motion, natural physics, and expressive animation.
• Keep camera movements cinematic and purposeful.
• Avoid distorted anatomy, flickering textures, inconsistent character designs, duplicated limbs, abrupt cuts, and sudden changes in lighting or scale.
• Keep the narrative cohesive, charming, adventurous, and emotionally uplifting.
• Total duration: approximately 30 seconds.
• Aspect ratio: 16:9 widescreen.

find an intersting repo of more useful seednace 2.5 prompt: https://github.com/AtlasCloudAI/awesome-seedance-2.5-prompts-skills

for more useful prompts, u can try this repo:https://github.com/AtlasCloudAI/awesome-gpt-image-2.5-prompts

here is the prompts:

Create one independent editorial poster for each uploaded photo. Output every poster separately; never combine photos.
Format
Vertical 3:4 canvas, split into two equal horizontal sections: 50% original photography above, 50% hand-drawn illustration below.
Upper Half
Preserve the subject’s identity, structure, pose, realistic texture, natural lighting and original color atmosphere. Apply only subtle editorial color grading. Extend the surrounding background if needed, without stretching, distorting or changing the subject.
Lower Half
Reinterpret the photo as a naïve, whimsical doodle. Identify its core theme, relationships, mood and most memorable visual features. Keep recognizable silhouettes, gestures and defining details, with only a few environmental cues.
Use the relaxed charm of playful hand-drawn puppy doodles as a style reference. Simplify forms, gently exaggerate proportions and omit unnecessary details.
Line and Color
Use rounded, loose, slightly shaky crayon, marker or pen strokes. Include short, repeated, uneven and broken contours. Keep interior marks sparse.
Apply color selectively, with dry strokes, uneven coverage and occasional coloring outside the lines. Aim for roughly 70% white space, 20% linework and 10% color accents.
Extract 2–4 colors from the photograph and reinterpret them as brighter, fresh, gentle tones. Avoid muddy, overly dark, fluorescent or sugary colors.
Composition and Text
Keep the illustrated subject small within generous, intentional white space. Use asymmetry, off-center placement or selective cropping to create one clear visual focus.
Optionally include a short phrase, tiny title or brief annotation in any language. Use small, rounded handwriting integrated into the illustration.
The result should feel refined, airy, affectionate and handmade. Avoid literal tracing, complete color fills, complex backgrounds, polished vector lines, generic cartoon templates and 3D effects.

prompt:

Editorial fine-art portrait of a young Vietnamese woman, side profile, tilting her head slightly toward window light. Dreamy, relaxed look with natural facial features and realistic skin texture.

Minimalist white off-shoulder top, subtle earrings, delicate necklace. Dark hair neatly braided with loose strands.

Half-body shot resting one arm on a wooden windowsill. Soft natural daylight filtering through sheer curtains, subtle rim light on her hair and shoulder. Warm muted brown tones, shallow depth of field.

Cinematic magazine aesthetic, shot on 85mm lens, f/2.0, natural window lighting, rich detail, realistic optical blur.

ran both on one key, gemini omni flash for the film and gpt image 2.5 for the sheet.

Video prompt, Gemini Omni Flash. Attach the nine panel sheet.

A 10 second corporate brand film for the precision parts maker KISARAGI INDUSTRIES. Show the machining precision held in a small part, and the engineers behind it, in strong composed live action.

Key line: "Our precision, in the places you never see."

Reference image: Use the attached nine panel board as the strict reference for the factory, the woman engineer, the workwear, the machines, the metal parts and the camera angles. Reading order is left to right, top row to bottom row.

The finished video must never show the nine panel image, the borders, the numbers or the split state. Reproduce each cell as an independent full screen shot and join them with rhythmic cuts.

Character consistency: The same synthetic woman engineer in her late twenties in every shot. Black hair tied low, navy workwear, safety shoes, white work gloves. Clear safety glasses in the production area. Do not change the face, height, hairstyle, clothing or protective equipment.

Shot list: 0.0 to 1.1 s. Factory exterior in the morning. She walks toward the entrance at a steady pace. Low morning sun rakes across the metal face of the building. 1.1 to 2.1 s. She walks between the neatly lined up machine tools. The camera retreats smoothly from a low position, catching her head on. 2.1 to 3.0 s. Close up of face and hands. She puts the safety glasses on correctly. Factory lighting flashes once in the lenses. 3.0 to 4.0 s. Cutting a metal part. Cutting oil runs over the rotating tool and the machined surface appears. No excessive sparks. 4.0 to 5.0 s. Both white gloved hands close a digital micrometer on the part. The reading settles and the fingers stop. 5.0 to 6.0 s. She moves her eyes from the paper drawing to the 3D model on screen. The shape on screen matches the real part. 6.0 to 7.0 s. Overhead cut of the engineers around the drawing. She points at one point on the part, the others confirm. 7.0 to 8.4 s. She holds the finished part in both hands. She checks the metal face, then quietly raises her eyes toward camera. Keep the smile restrained. 8.4 to 10.0 s. Hero shot of the finished part on a black plinth. A narrow light travels across the machined face. Show "Our precision, in the places you never see." and "KISARAGI INDUSTRIES" clearly.

Look: A high quality live action corporate commercial. Steel silver, navy, charcoal, neutral white. Mix factory lighting with daylight from the windows and keep the color temperature from going too blue. In the macro shots draw the cutting oil, the metal surface, the gauge and the fibres of the gloves precisely.

Edit: Short hard cuts using the movement of the machines, the tools and the engineers. Keep the direction of motion consistent. Pace it to feel like precision rather than speed. No split screen, no collage. No morphing of one object into another.

Sound design: An original piece with low restrained piano, percussion made from processed metal sounds, and short strings. Lay the machine rotation, the cutting oil and the small click of the gauge closing naturally over the rhythm.

At the end, a calm grounded adult woman's voice: "Our precision, in the places you never see. KISARAGI INDUSTRIES."

Avoid: Heavy sparks, unsafe work, missing protective equipment, unmanned sci fi factories, robots, heavy blue grading, sudden camera rotation, deformed people, broken machines or gauges, extra text, watermarks.

Storyboard prompt, GPT Image 2.5. One image, original synthetic character, no real-person likeness.

Create a photo storyboard for a corporate brand film and recruitment video for the precision parts maker KISARAGI INDUSTRIES.

[Theme] "Our precision, in the places you never see." Show how small parts that normally go unseen hold up industry and society. Not only the scale of the factory, but the engineer's judgement, the machining, the measuring, the teamwork, the pride in a finished part.

[Image spec] Final image is 16:9 landscape. Divide the frame into a 3 column by 3 row grid of nine equal cells. Compose every cell as 16:9 landscape. Separate them with thin ivory lines. Put a small white number, 01 through 09, in the top left of each cell. Finish every cell like a live action Japanese corporate brand commercial.

[Main character] An original synthetic woman in her late twenties, an engineer, no real-person likeness. Black hair tied low. An honest, focused face. Navy workwear, safety shoes, white work gloves. Clear safety glasses worn correctly in the production area. Keep the same person, face, build and workwear in all nine cells.

[Factory] A clean, well kept precision machining plant. CNC machines, a measuring room, design PCs, metal parts, drawings, tools. Draw the floor safety lines and protective equipment realistically. Do not make it an unmanned futuristic factory.

[The nine cells] 01: Factory exterior in low morning sun. She walks toward the entrance with a work bag. Building, sky and entrance arranged like the opening of a corporate ad. 02: A wide aisle lined with machine tools. She walks down the middle checking them. Not perfectly symmetrical, show the depth of a plant that is actually running. 03: Close up of her face and hands as she puts on the clear safety glasses. Focus exactly on the eyes, factory lighting reflecting naturally in the lenses. 04: Macro shot of a metal part being cut. Rotating tool, cutting oil, metal surface and fine tool marks in high detail. Not sparks, the calm beauty of precision machining. 05: White gloved hands measuring a finished small part with a digital micrometer. Draw the contact point between gauge and part physically correctly. 06: Her profile as she compares a paper drawing with a 3D CAD model on screen. Real machining equipment blurred naturally behind her. 07: Overhead shot of several engineers around a drawing and the finished part. She points at one spot, the others check it seriously. 08: Portrait of her holding the finished metal part in both hands. Machine tools behind at shallow depth of field. No big smile, quiet confidence and pride. 09: Product ad shot, one finished precision part alone on a charcoal black plinth. A thin rim light picks out the machined faces and edges. Leave space on the left for "Our precision, in the places you never see." with "KISARAGI INDUSTRIES" under it.

[Camera and color] High end manufacturing commercial. Steel silver, navy, charcoal and white. Balance factory lighting with daylight from the windows. Keep natural skin texture on the person. Do not over polish the metal, show tool marks and weight.

[Do not] Heavy sparks, a dirty unsafe factory, wrong protective equipment, sci fi robot factories, heavy blue grading, composited looking people, broken measuring gear, extra copy, watermarks, logos other than the one specified.

i try grok imagine; links if u need: https://www.atlascloud.ai/models/xai/grok-imagine-image-quality/edit. but i think other models, like gpt image 2 may perform better, u can try yourself

Prompt:

Create a 15-second vertical 9:16 premium fried-chicken television commercial, inspired by the visual language of high-end fast-food advertising. Ultra-realistic 8K cinematic food photography, photorealistic textures, dramatic commercial lighting, shallow depth of field, high-speed macro cinematography, rich golden tones, crisp detail, realistic physics, premium color grading.

CORE CONCEPT

“FROM CHICKEN TO CRUNCH”

Follow ONE SINGLE, IDENTICAL CHICKEN PIECE continuously throughout the entire film — from raw chicken to seasoned, floured, fried, golden-crisp, and final hero presentation. Maintain exact visual continuity of the chicken's shape, size, orientation, bone structure, skin/flesh details, and proportions at every stage.

No visible people. No faces. No bodies. Hands may appear only briefly when absolutely necessary during the coating stage.

01 — RAW | 0–2 SECONDS

Extreme macro shot of a fresh raw chicken piece sliding smoothly onto a pristine stainless-steel preparation surface.

Cold moisture and tiny droplets of condensation are visible on the chicken. Highly detailed natural meat texture, subtle wet sheen, realistic pores and fibers.

Camera: 100mm macro lens, fast cinematic push-in, extremely shallow depth of field.

Lighting: cool, clean, slightly blue-toned kitchen light with controlled specular highlights.

Motion: elegant, precise, premium food-commercial movement.

02 — SEASON | 2–4 SECONDS

Without changing the chicken piece, transition into a dramatic macro shot as golden-brown seasoning and spices rain down from above.

Individual seasoning particles remain visible in the air, suspended momentarily in high-speed slow motion, then settle naturally across the chicken.

Camera: 100mm macro lens, subtle lateral tracking.

Lighting: warm golden side light, strong rim highlights, dark cinematic background.

Emphasize floating spice particles, texture, depth, and realistic particle physics.

03 — COAT | 4–6 SECONDS

The same chicken piece is briefly tossed through a bed of richly seasoned flour.

Only clean human hands appear for a moment — no face or body visible.

As the chicken is lifted and turned, flour bursts dramatically into the air, creating a dense cloud of tiny particles.

The wet chicken becomes progressively covered in a rough, irregular, heavily textured coating, with visible ridges and crags forming on the surface.

Camera: 85mm macro lens, dynamic tracking movement, energetic but controlled.

Lighting remains warm and cinematic.

04 — FRY | 6–8 SECONDS

The same fully coated chicken piece drops into a deep fryer filled with hot shimmering oil.

The instant it touches the oil, create a spectacular eruption of bubbles, steam, tiny droplets, and sizzling oil around the chicken.

Capture the reaction in extreme high-speed slow motion.

Camera: 50mm high-speed cinematic camera, low angle close-up.

Realistic oil behavior, realistic steam, physically accurate bubbles and droplets.

The coating begins visibly changing from pale flour to rich golden brown.

05 — GOLDEN TRANSFORMATION | 8–10 SECONDS

Extreme macro transformation shot of the same chicken piece frying.

Show the coating becoming deep golden, crispy, rugged, and irresistibly crunchy.

Use a cinematic visual transition from pale coated surface to perfectly fried golden crust.

Tiny bubbles disappear from the surface as the crust becomes crisp and textured.

Golden oil droplets glisten across the crust.

Camera slowly rotates around the chicken while maintaining sharp focus on the evolving texture.

Lighting: premium warm golden backlight with dramatic highlights, rich contrast, luxurious food-commercial aesthetic.

The result should look freshly fried, hot, crisp, juicy, and exceptionally appetizing.

06 — CRUNCH | 10–12 SECONDS

Ultra-macro beauty shot of the finished fried chicken.

The crust is now deep golden, rugged, flaky and extremely crisp, with intricate crunchy ridges and small crispy fragments.

i made with seedance 2.5 for its strong continuity

if u r interested, u can visit this repo to see more useful prompts: https://github.com/AtlasCloudAI/awesome-wan-3.0-prompts

prompts:

DURATION: 30 seconds
ASPECT RATIO: 16:9
FORMAT: One true continuous cinematic take, no cuts, no jump frames.
Create an ultra-photorealistic Hollywood-style sci-fi adventure shot with large-scale environments, realistic physics, cinematic lighting, natural depth of field, subtle film grain, HDR, and gradual color transitions.
SUBJECT
A modern city train with a huge curved panoramic window.
The camera is fixed near the rear of the carriage, shooting forward at a slight angle with a 24mm wide lens.
Left two-thirds: panoramic window
Right one-third: handrails, hanging straps, and ordinary passengers
Passengers wear modern dark commuter clothing and initially look at their phones
The train interior, passengers, seats, clothing, window structure, camera height, lens, and framing must remain consistent for the entire 30 seconds.
All time-travel changes happen only outside the window.
0–4s — MODERN CITY
The train speeds through the edge of a cloudy modern city.
Buildings, rivers, poles, and infrastructure streak past with realistic horizontal motion blur.
Passengers quietly look at their phones.
The carriage lighting remains stable with only subtle natural train vibration.
A calm female announcement says:
“The time train is about to depart. Please remain seated.”
4–6s — TUNNEL TRANSITION
The train enters a dark tunnel.
Concrete walls replace the city as overhead lights sweep rapidly across the glass.
The carriage gradually darkens.
The concrete tunnel naturally transforms into rough, wet rock.
Large rocks pass close to the window and create a seamless occlusion transition.
No cut.
6–12s — DINOSAUR ERA
The tunnel opens into a vast prehistoric rainforest and Jurassic valley filled with warm sunlight and thin mist.
Parasaurolophus run beside the train.
Huge brachiosaurus move slowly through distant trees while pterosaurs fly overhead.
Foreground plants streak past with strong motion blur, while dinosaurs remain clearer in the midground and misty volcanoes sit in the distance.
Create strong depth and parallax.
Around 10 seconds, a massive T-Rex bursts from the forest and briefly runs beside the train, roaring close to the glass.
Passengers look up and turn toward the window, surprised but not panicking.
Golden sunlight and forest-green reflections naturally enter the carriage.
12–19s — VOLCANIC APOCALYPSE
The T-Rex passes directly across the window, creating another natural occlusion.
When it clears, the same prehistoric world has transformed into a volcanic wasteland.
A giant volcano erupts in the distance.
Black ash clouds rise into the sky, glowing lava pours over cliffs, and cracks spread through the ground.
The train races through a lava canyon while volcanic debris crosses the sky without hitting the carriage.
A powerful heat wave follows behind.
Red-orange firelight reflects realistically across the glass and gradually fills the train interior.
Passengers grip the handrails and stare outside in shock.
Maintain believable smoke, debris, gravity, heat distortion, and physical motion.
19–22s — TIME DIVE
The train enters a huge wall of volcanic steam, smoke, and white vapor.
The outside view becomes fully obscured while the camera continues uninterrupted.
The red-orange glow gradually shifts to deep blue.
Condensation forms on the glass.
The train seamlessly passes through a time-space transition and enters the deep ocean.
The carriage remains completely dry and unchanged.
22–28s — UNDERWATER WORLD
The vapor clears to reveal a huge, clear blue ocean.
Sunbeams penetrate from above.
Coral reefs, sea grass, schools of fish, turtles, and manta rays move across different depths, creating strong parallax.
A gigantic blue whale slowly swims over the train, its body filling most of the panoramic window.
Cool blue underwater light ripples naturally across the carriage and passengers.
Everyone quietly looks upward.
28–30s — FINAL REVEAL
The whale’s tail passes across the window, creating one final natural occlusion.
As it clears, reveal a massive lost civilization stretching across an underwater canyon:
glowing crystal towers
enormous domes
ancient temples
suspended transit structures
manta rays moving between the buildings
The train continues toward a bright portal at the center of the city.
Keep the original interior composition.
End with the passengers silhouetted against the glowing underwater city.
No fade. No cut.
CAMERA
24mm cinematic wide-angle lens, eye-level height, fixed position near the rear of the carriage.
Stable composition with subtle realistic train vibration.
Natural depth of field, glass reflections, foreground motion blur, and strong multilayer parallax.
The camera never leaves the train.
No sudden zooms, rotations, orbiting, axis changes, or floating camera movement.
AUDIO
Use the continuous train-track sound as the main audio anchor throughout the entire sequence.
Layer in:
tunnel echoes
dinosaur footsteps and roars
volcanic explosions and lava rumble
steam impact
deep underwater ambience
whale calls
All sound transitions should be smooth and cinematic.
No background music.
No unnecessary dialogue.
CONTINUITY
Maintain the exact same:
train
carriage interior
passengers
clothing
seats
panoramic window
camera position
framing
for the entire 30 seconds.
Scene transitions must happen only through forward train movement, darkness, rocks, smoke, steam, or large creatures passing in front of the window.
No cuts.
No teleporting passengers.
No changing train interior.
No warped carriage geometry.
No creatures entering the carriage.
FINAL FEELING:
A seamless cinematic journey through time:
MODERN CITY → DINOSAUR ERA → VOLCANIC APOCALYPSE → DEEP OCEAN → LOST UNDERWATER CIVILIZATION

just 200 kb?

not too late at all, and the orchard is the moat, not the handicap. pick one stack you can ship with fast, python or node plus how a basic web app goes together, and build two small tools that solve a real problem on the farm even if they're ugly. that beats a year of theory. once you have something working, ai lets you go from idea to tool in a fraction of the time, which is the leverage you want. the ag plus software angle is rare, not overestimated, no one else is sitting at that intersection

i made this with minimax h3, and if ur interested, u can visit this repo: https://github.com/AtlasCloudAI/awesome-minimax-h3-prompts hope for more discussion

i think wan 3.0 maybe perform better than happyhorse, maybe weaker than seedance 2.5 though

here is the prompt:

This is an independent jewelry e-commerce website.

Select one product from the site and create a natural-looking advertisement based on its key selling points, featuring an attractive female model.

Show the model wearing the product, followed by a close-up of the neck and jewelry, a natural turning movement, and a final pose beside a window.

End with the brand name.

i try this on the reference-to-video playground, links if u need: https://www.atlascloud.ai/models/alibaba/wan-3.0/reference-to-video

here is the prompt:

This is an independent jewelry e-commerce website.

Select one product from the site and create a natural-looking advertisement based on its key selling points, featuring an attractive female model.

Show the model wearing the product, followed by a close-up of the neck and jewelry, a natural turning movement, and a final pose beside a window.

End with the brand name.

i try this on the reference-to-video playground, links if u need: https://www.atlascloud.ai/models/alibaba/wan-3.0/reference-to-video

3.7 flash is the first gemini model that actually feels fast enough for real-time coding. still not perfect but the gap closed a lot.

cool, i like this style

i test it on Atlas Cloud. if u have some new discoveries, pls comment and share!

the real punchline is that the 5x cheaper model burns 3x the tokens on the same task. per-task cost matters more than per-token price but nobody benchmarks that

the system prompt nudges help but ive found the real lever is what you put in CLAUDE.md. shorter is better, declarative not instructive, and skip the please and thank you fluff

Blender MCP: https://github.com/ahujasid/blender-mcp . For the render step I run both video models on one key through Atlas Cloud so I can push the same blockout through each and compare: https://www.atlascloud.ai/models