Output B, 1 turnOutput 1 / 2TtamburinsNov 5Make a 10-second cinematic shot of a baby dragon hatching. The scene: a dark volcanic cave. One large egg rests in a nest of black stones, faint orange light glowing through cracks in its shell. 0 to 3 s: the camera pushes in slowly while the cracks spread and the egg rocks. 3 to 6 s: the shell bursts open, fragments and ash fly, and a small dragon pushes its way out: wet scales, folded wings, slit-pupil eyes. 6 to 10 s: it shakes off the last pieces of shell, opens its wings for the first time, looks straight into the camera and lets out its first small puff of fire, which lights up the whole cave. It should look like a shot from a big-budget fantasy film, not a game cutscene or a toy commercial. The dragon is an original creature, not from any existing film, game or book. Use the tools you have in this setup. If you have a video model, you may use it. If you don't, build the whole shot in code: Blender (bpy + Cycles) and FFmpeg are already installed on this machine. It has a 4-core CPU, so choose resolution, samples and denoising so everything finishes in under 60 minutes. Deliver one MP4 (16:9, at least 1280x720, 24 fps, 8 to 10 seconds, sound optional), one full-resolution hero still of the best frame, and a short note on exactly how you made it: tools, models, render or generation time. If you built it in code, include the script.LLMClaude Opus 5.5Gen AIVeo 3.1+1Skill—SoftwareChatGPT Images+23M tokens·12m 7s00
Output C, 1 turnOutput 3 / 4TtamburinsNov 5Use Blender (bpy + Cycles, already installed) to build our galaxy, the Milky Way, and render a 10-second cinematic flythrough of it. The galaxy: a barred spiral the way astronomers map it today. A glowing orange-gold central bar and bulge, two major spiral arms and two fainter ones, dark dust lanes along the inner edges of the arms, pink star-forming nebulae and blue young star clusters strung along the arms, and a faint old halo around it all. At least 200,000 individual stars, each its own point of light with its own color and brightness, all placed by math. No images, no downloaded textures, no HDRIs, no stock assets. The shot: 0 to 3 s, the whole galaxy face-on from far above, turning slowly. 3 to 7 s, the camera dives down at an angle and skims through a spiral arm: stars and nebulae streaming past, dust lanes blocking the light behind them. 7 to 10 s, it slows down beside one ordinary yellow star about two-thirds of the way out from the center, our Sun, and holds there with the bright band of the galaxy stretched across the frame behind it. It should look like a shot from a big-budget space documentary, not a screensaver or a particle demo. Deliver the final MP4 (at least 1080x1080, 24 fps), one full-resolution hero still of the best frame, the .blend file and the Python script, and tell me the exact star count and how long the render took. This machine has a 4-core CPU, so choose star count, samples, resolution and denoising so the whole render finishes in under 60 minutes. · 4LLMClaude Fable 5.1Gen AI—Skill—SoftwareBlender+17.5M tokens·1h 32m 46s00
Output C, 1 turnOutput 3 / 3TtamburinsNov 4Evals.ag promo film: 45 seconds, Apple / Higgsfield-style motion graphics Your mission: make a 45-second promo video for evals.ag, the site where you give one prompt to several AI models side by side and see what each one actually made, and what it really used to make it. The bar: an Apple product film or a Higgsfield launch video. Bold kinetic type, cuts on the beat of a strong music track, the real product UI pushed in close, full-bleed footage. Not a slideshow, not a plain screen recording with captions. It must show: 1. How evals is really used, on the real site (https://evals.ag): New run → type a prompt → pick several AI models and a Gen AI model → the run builds every option side by side → open an output and its "Actually observed" panel (the models it really used, tokens, runtime) → vote. Capture the real pages yourself; never mock up the UI. 2. The most dynamic results made on evals, full-bleed, each labeled with its model exactly as evals shows it. Use these: - 3D ink-wash game, Claude Fable 5.1, 2nd turn: https://evals.ag/outputs/out_2EZ8MK3JNBFPN8VTHF3E3RTQ1M - Web-swinging city in pure code, Claude Fable 5.1: https://evals.ag/outputs/out_7ECA3V3J211PM73F1M93NPH0V0 - Naruto live stage show, one AI director on 4 video models: https://evals.ag/runs/run_0FEWK0JDXA0K499DCNAFEJDYZF - Naruto live-action opening, Veo 3.1: https://evals.ag/outputs/out_1QP1J7JH3ZZEZEPVMG3RYHW0CK - The Odyssey opening on 4 video models: https://evals.ag/runs/run_10GW1FCFXGG17KY1Q2PJP7F7PH - T-rex on a bike, Claude Fable 5.1: https://evals.ag/outputs/out_517HGB9FC9NYCM34K3GWE118RZ - Vox-style Beethoven reel, Claude Fable 5.1: https://evals.ag/outputs/out_3M4PKHHEPG6VD82TN8AREFX6JB 3. One message the viewer remembers, in your own words, ending on the evals.ag logo. Use evals.ag's own look (background #fafaf8, ink #22211f, accent #a13a2b, Pretendard). Every model name and number on screen must come from the outputs themselves. Deliver one 1920x1080 MP4 with sound, plus a short list of every clip and screen you used.LLMClaude Fable 5.1Gen AIEleven MusicSkill—SoftwareGoogle Chrome+37.8M tokens·1h 3m 55s00
Output C, 1 turnOutput 3 / 4TtamburinsNov 4Use Blender (bpy + Cycles, already installed) to model and animate a rose made of jewels inside a clear glass bell jar, then render a 10-second cinematic shot of an arrow flying straight at it. The rose: petals cut from deep red ruby with crisp facets, a stem of green emerald with small thorns and two leaves, standing on a dark walnut base under a tall, perfectly clear glass dome. Light should bend through the glass and sparkle in every facet. The shot: 0 to 3 s, silence before the storm: a slow push-in on the rose in a dark room, one cold rim light, dust floating in the air. 3 to 4 s, an arrow bursts out of the darkness toward the jar. 4 to 8 s, time slows almost to a stop: the camera glides alongside the arrow, a steel broadhead, an ash shaft, feather fletching still trembling, the rose ahead reflected and warped in the curved glass. 8 to 10 s, the tip touches the glass and a crack races across the dome in a spider web, light catching in every crack, while the rose stays untouched. Hold on that frame. The speed, the slow-motion ramp, the camera move and the crack all have to line up, or it looks like a toy. Deliver the final MP4 (at least 1080x1080, 24 fps), one full-resolution hero still of the best frame, and the .blend file and Python script you used. This machine renders on a 4-core CPU, so choose samples, resolution, light bounces and denoising so the whole render finishes in under 60 minutes. It should feel like a movie trailer shot the moment it plays.LLMClaude Fable 5.1Gen AI—Skill—SoftwareFFmpeg+16.7M tokens·1h 19m 5s00
Output C, 1 turnOutput 2 / 3ECEvan ChaNov 4Use Blender (bpy + Cycles, already installed) to model and animate a magic throwing axe, then render a 12-second cinematic shot of it being thrown twice. The axe: dark forged steel with a thin edge and heavy cheeks, an ash haft bent like a bow, two leather wraps, an iron cap and a bronze ring. A rune is cut deep into the blade and burns with a warm amber light. In flight it leaves ribbons of amber light behind it. Throw 1, straight: the axe spins two times per second, time slows down right before impact, and the blade bites into a tree in a burst of sparks. Throw 2, boomerang: the axe flies a wide loop through the air, seen from above in slow motion, then comes straight back to the hand. The spin, arc, speed, impact and return all have to line up, or it looks like a stick flying through the air. Moody forest clearing at dusk, depth of field, motion blur. Deliver the final MP4 (at least 1080x1080, 24 fps), one full-resolution hero still of the best frame, and the .blend file and Python script you used. This machine renders on a 4-core CPU, so choose samples, resolution and denoising so the whole render finishes in under 60 minutes. It should look like a real game trailer the moment it plays. · 4LLMDeepSeek V4.1 Flash (1017)Gen AI—Skill—SoftwareBlender+114.7M tokens·1h 57m 52s00
Output A, 1 turnOutput 1 / 3TtamburinsNov 4Same face, every shot: a 15-second identity test The attached photo (naruto_casting_photo.jpg) is the casting photo of our original actor for a live-action Naruto. Make a 15-second, three-shot sequence of him in which he stays recognisably the same person in every frame. Rules, so the test is fair: - Generate every shot image-to-video, starting from the attached photo itself. Don't make new images or edit the photo: the only things you give the video model are this photo and your shot prompt. - Each shot asks for movement that usually breaks a face: (1) he turns his head to look over his shoulder, then back to camera; (2) he breaks into a wide grin and laughs; (3) the camera slowly circles a quarter of the way around him while he tightens his headband. - Use only the video model you were given, for every shot. If a shot is refused, try once more with a reworded prompt, then tell us. Don't switch to another model. Cut the three shots (about 5 seconds each) into one 16:9 MP4 with no on-screen text. Sound is optional. At the end, tell us honestly in which shot, and at what second, his face changes the most.LLMClaude Opus 5.5Gen AIKling 4.0Skill—SoftwareFFmpeg+1965.4K tokens·12m 49s00
Output D, 1 turnOutput 2 / 2TtamburinsNov 4Naruto live stage show: 30 seconds of fan footage Your mission: make a 30-second video that looks like real phone footage a fan filmed at a live Naruto stunt show at an outdoor anime theme park in Japan. Someone scrolling Instagram should believe it is real and ask where the show is. Shoot it like a fan in the crowd: handheld, slightly zoomed in, daylight, the backs of heads and raised phones in the foreground, a Hidden Leaf village set with rock walls, wooden gates and Japanese rooftops. Costumed stunt performers (original people, no real actors or celebrities) fight as Naruto and Sasuke: wire-work leaps off the set, fast hand-to-hand clashes, landings that kick up dust. The jutsu are the showstopper and must be impossible to miss: Naruto's shadow clones flood the stage, a spinning blue Rasengan glows in his palm, Sasuke's Chidori crackles with white-blue lightning, a fireball jutsu rolls across the set, and the final Rasengan vs Chidori clash bursts into a shockwave of light, wind and dust that hits the front rows. Make them look like the most expensive stage effects in the world, with their light falling on the performers, the set and the crowd's faces. The crowd gasps, flinches, cheers and shouts in Japanese. The bar: AI-made Naruto stage fights have pulled tens of millions of views. Make yours more convincing and more spectacular: real phone shake, real light on real faces, and performers and costumes that stay the same in every shot. Deliver one finished 30-second widescreen (16:9) MP4 with sound. Voices are Japanese crowd and announcer sounds, with no subtitles or on-screen text.LLMClaude Opus 5.5Gen AIMiniMax H3 Max+3Skill—Softwarefal.ai+12M tokens·14m 52s00
Output A, 1 turnOutput 1 / 2TtamburinsNov 4Make a Vox-style documentary reel about the Mars Climate Orbiter lost to a units mix-up: about 25 seconds, vertical 9:16. Write the script, make the images, and animate each scene in code. Deliver one finished MP4.LLMClaude Opus 5.5Gen AINano Banana Pro+2Skill—SoftwareFFmpeg+21.8M tokens·13m 19s00
Output C, 1 turnOutput 2 / 3ECEvan ChaNov 4Use Blender (bpy + Cycles, already installed) to make an 8-second cinematic shot of a Rube Goldberg chain reaction on a wooden workshop table. A single marble rolls down a track and sets off at least 8 different contraptions in a row: dominoes, a swinging pendulum, a seesaw, a tipping stack of books, spinning gears, a row of Newton's cradle balls and more of your choosing, ending in a surprising payoff. Every step must really be caused by the one before it through rigid-body physics, not hand-keyed fakes. One continuous camera move follows the action so each contraption is on screen as it fires. Warm studio lighting, depth of field, motion blur. Deliver the final MP4 (at least 1080x1080, 24 fps), one full-resolution hero still of the best frame, and the .blend file and Python script you used. This machine renders on a 4-core CPU, so choose samples, resolution and denoising so the whole render finishes in under 60 minutes. It should make people want to rewatch it the moment it ends.LLMClaude Fable 5.1Gen AI—Skill—SoftwareFFmpeg15.6M tokens·1h 39m 34s10
Output A, 1 turnOutput 1 / 3TtamburinsNov 3Naruto live stage show: 30 seconds of fan footage Your mission: make a 30-second video that looks like real phone footage a fan filmed at a live Naruto stunt show at an outdoor anime theme park in Japan. Someone scrolling Instagram should believe they are watching a real show. Shoot it like a fan in the crowd: handheld, slightly zoomed in, daylight, the backs of heads and raised phones in the foreground, a Hidden Leaf village stage set with rock walls, wooden gates and Japanese rooftops. Costumed stunt performers (original people, no real actors or celebrities) stage the Naruto vs Sasuke fight: they leap off the set, clash and trade jutsu that land as real practical stage effects. Wind machines that bend the trees and whip the crowd's hair, dust and sand cannons that blow across the front rows, smoke, sparks, and a Rasengan vs Chidori clash built from stage lights and pyro. The crowd gasps, flinches, cheers and shouts in Japanese. The bar: fan-made AI videos of Naruto stage fights have pulled tens of millions of views, with people asking where the show was. Make yours more convincing: real stage physics, real crowd reactions, costumes and performers that stay the same in every shot, and no glow or magic that a real theme-park show couldn't pull off. You choose the shots, the moments and the sound. Deliver one finished 30-second widescreen (16:9) MP4 with sound. Any voices are Japanese crowd and announcer sounds, with no subtitles or on-screen text.LLMClaude Opus 5.5Gen AIKling 4.0Skill—SoftwareFFmpeg+13.1M tokens·30m 38s20
Output A, 1 turnOutput 1 / 2TtamburinsNov 3Naruto: a 30-second live-action opening Your mission: make the 30-second opening of a big Hollywood live-action film of Naruto, as if Denis Villeneuve had shot it. It should hook a viewer in the first 3 seconds, make them care about Naruto by the end, and leave them wanting the next scene. It has to pass for a real film: cast it like a blockbuster, with original actors who could be movie stars (no real people), photoreal faces with life in their eyes, performances you believe, and every character looking exactly the same in every shot. A fan should still know it is Naruto at a glance: the whisker marks, the orange jumpsuit, the Hidden Leaf headband, the village under the carved Hokage faces. Establish who Naruto is, what he wants, and the mood of his world. You choose the moment, the story, the shots, the music and whatever dialogue it needs. The bar: Lionsgate's live-action Naruto is still casting, and anime fans have been burned by Hollywood before (Dragonball Evolution, Netflix's Death Note). Most AI anime remakes look like cosplay. Prove a live-action Naruto can feel real. Deliver one finished 30-second widescreen (16:9) MP4 with sound. Any dialogue, voices and on-screen text are in English, with no subtitles.LLMClaude Opus 5.5Gen AIKling 4.0+4Skill—Softwarefal.ai+13.4M tokens·22m 19s10
Output C, 1 turnOutput 2 / 2TtamburinsNov 3Make a Vox-style documentary reel about Beethoven going deaf: about 25 seconds, vertical 9:16. Write the script, make the images, and animate each scene in code. Deliver one finished MP4.LLMClaude Fable 5.1Gen AINano Banana Pro+3Skill—SoftwareFFmpeg+21.6M tokens·15m 12s00
Output A, 1 turnOutput 1 / 2ECEvan ChaNov 3Use Blender (bpy + Cycles, already installed) to make a 6-second cinematic nature-documentary shot of a brown pelican in flight: it glides low over rolling ocean waves at golden hour, beats its huge wings, then folds them back and plunge-dives into the water with a big splash. Model and rig the pelican yourself in code (no downloaded models or assets): a believable body, long beak and throat pouch, layered feathers on the wings, and a real wing-flap animation. A low tracking camera follows it with depth of field and motion blur. Deliver the final MP4 (at least 1080x1080, 24 fps), one full-resolution hero still of the best frame, and the .blend file and Python script you used. This machine renders on a 4-core CPU, so choose samples, resolution and denoising so the whole render finishes in under 45 minutes. It should look like a real wildlife documentary shot the moment it plays.LLMClaude Opus 5.5Gen AI—Skill—SoftwareBlender+14.3M tokens·1h 0m 17s10
Output C, 1 turnOutput 3 / 4ECEvan ChaNov 3Use Blender (bpy + Cycles, already installed) to make a 5-second cinematic slow-motion VFX shot: a heavy chrome wrecking ball swings in and smashes through a wall of hundreds of glass and gold bricks. The bricks break loose with real rigid-body physics, refract and catch the light, and scatter across a dark polished floor. Dramatic studio lighting, depth of field, motion blur, a slow camera push-in. Deliver the final MP4 (at least 1080x1080, 24 fps), one full-resolution hero still of the best frame, and the .blend file and Python script you used. This machine renders on a 4-core CPU, so choose samples, resolution and denoising so the whole render finishes in under 45 minutes. It should look like a real VFX shot the moment it plays.LLMDeepSeek V4.1 Flash (1017)Gen AI—Skill—SoftwareBlender+112.5M tokens·1h 51m 46s00
Output A, 1 turnTtamburinsNov 2Create a 2D anime scene for the web. It must look completely like real Japanese anime, as if it were taken directly from a finished theatrical anime film. This is traditional-looking, hand-drawn 2D anime, not a 3D animation, a moving illustration, or a stylized web graphic. Deliver the final result as a single, self-contained HTML file. Use any tools, libraries, references, guides, literally anything etc. Use Studio Ghibli films as the art style reference for the design, line work, painted backgrounds, color, and atmosphere. Create an original giant robot as the main character. No people appear in the scene. Use any tools or techniques you want, including 3D, as long as the final result looks 100% like hand-drawn 2D anime. SCENE At sunrise, mist hangs over an abandoned forest. A giant robot has knelt here for so long that moss, wildflowers, and old trees have grown over its body. A small bird lands on its shoulder as the first ray of sunlight reaches its weathered face. Deep inside its chest, a faint light flickers on. The ground trembles and birds burst from the treetops. With a deep, creaking groan, the robot slowly rises as soil, vines, and leaves pour from its armor. It lifts its head toward a gap in the canopy. The engines ignite, sending a great ring of wind across the forest. The robot tears into the golden sky, leaving a curving trail of light and mist as leaves spiral down through the sunbeams. ANIME QUALITY STANDARD Every frame must look as if it was drawn by professional anime animators and painted by master background artists for a finished theatrical film. Robot: A hand-drawn anime mecha that feels heavy, ancient, and full of personality, with cel-colored forms, chipped paint, rust, moss, and believable weathering. Keep it on-model from every angle, and let its posture and glowing eyes express emotion. Line art: Confident, delicate, hand-inked anime line work with subtle variation in thickness and pressure. Coloring: Traditional anime cel coloring with clean color areas, simple hard-edged shadows, and a soft, natural palette. Backgrounds: Richly detailed, hand-painted anime backgrounds in a gouache style, with visible brushwork, natural color variation, layered foliage, and real depth. Lighting: Golden sunrise light, colorful shadows, glowing mist, and soft atmosphere that unite the robot and background. Animation: Authentic hand-drawn anime timing with real weight, strong key poses, natural holds, and overlapping movement in vines, grass, leaves, birds, and falling debris. The robot should rise slowly and feel massive, then launch with explosive power. Direction: Cinematic anime shots, beautiful composition, thoughtful staging, and pacing that starts quietly, builds tension, and ends in a soaring climax. IT MUST NOT LOOK LIKE - 3D: No plastic materials, CGI shading, visible polygons, game-engine lighting, or computer-perfect perspective. - SVG or vector art: No simple geometric shapes, perfect curves, uniform outlines, flat corporate illustration, or basic gradients. - Web animation: No sliding layers, constant bobbing, floating parts, smooth software easing, or puppet-like joint rotation. You are free to change any part of the prompt, if it would result, in better results. - AI art: No warped shapes, melted details, flickering, or changing robot designs. - Non-anime art: No Western cartoon designs, realistic rendering, soft painterly shading on the robot, or generic digital illustration. - Amateur work: No stiff poses, empty backgrounds, repeated trees, muddy colors, clip art, placeholders, or unfinished details. The result should feel awe-inspiring, nostalgic, and full of wonder, like the moment an old forgotten dream comes back to life. Before finishing, inspect random frames as still images. If any frame does not look completely like real 2D anime, keep improving it. Do not stop until every frame could pass as a still from a theatrical anime film.LLMClaude Opus 5.5Gen AISeedance 2.0+3Skill—SoftwareChromium+35.7M tokens·51m 49s00
Output B, 1 turnOutput 1 / 2TtamburinsNov 2The Odyssey: the Cyclops chase, 15 seconds. Make a 15-second action scene from a grand Hollywood film of Homer's Odyssey, as if Ridley Scott had shot it: the blinded Cyclops Polyphemus hurls boulders at Odysseus' ship while the crew rows for their lives and Odysseus shouts his name back at him. It's fast motion and it has to stay readable: real weight and impact, clear geography, the same faces in every shot, a photoreal A-list cast with life in their eyes. Deliver one finished 15-second widescreen (16:9) MP4 with sound. Any dialogue in English, no subtitles.LLMClaude Opus 5.5Gen AIWan 3.0 Prime+2Skill—SoftwareFFmpeg+12.2M tokens·55m 44s10
Output C, 1 turnOutput 3 / 3KRKeith RyuNov 2Make an animated product demo for Craigslist. Optimize for maximum Twitter virality.LLMClaude Opus 5.5Gen AIEleven v3+2Skill—SoftwareChromium+32.3M tokens·9m 52s00
Output A, 1 turnTtamburinsNov 2First Sight, Episode 2: "Also yours." Make Episode 2 of an AI short drama series. Episode 1 is attached (first_sight_ep01.mp4): 1990s Manhattan, late October. She nearly collides with a man on a brownstone sidewalk ("Sorry." / "My fault."), walks on, realises her right pearl earring is gone, turns back, and he is standing far down the street holding it up: "You dropped something." Episode 2 picks up from that exact moment (ep01_last_frame.jpg). The series is called "First Sight", and this episode quietly breaks that idea: he is holding TWO identical pearl earrings, and he seems to have met her before. She has no memory of him. Don't explain anything. The episode ends on the question, not the answer. Deliver one finished vertical video for Instagram Reels: 1080x1920, 24 fps, about 28 seconds (five cuts of 4-6 s plus a 2.5 s end card), with sound. ATTACHED REFERENCES. Use them on every cut, always in this order: - image 1 = HER (her_sheet.jpg): face, hair, wardrobe, autumn street light - image 2 = HIM (him_sheet.jpg): face, tousled hair, wardrobe - image 3 = ep01_last_frame.jpg: the last frame of Episode 1 (street, light, where they stand) Once cut 1 is approved you may use its last frame as image 3 for the later cuts. THE EPISODE. Beats and dialogue are fixed; you direct the shots. 1. ~4 s. The opening image, and the hook: a close insert of his open palm, held perfectly still at chest height. On it lie TWO identical small pearl drop earrings on thin gold hooks, catching the low sun. Her shadow falls across his hand as she arrives. No faces. No dialogue. 2. ~5 s. Her close-up. She looks down at his palm, then slowly raises her left hand to her LEFT ear and touches the pearl earring that is still there. Her RIGHT ear is bare. Confusion. No dialogue. 3. ~6 s. Profile two-shot, an arm's length apart, his open palm still between them. HER (quietly): "That one's mine. Whose is that?" HIM: "Also yours." 4. ~5 s. Her close-up. She searches his face for something she should remember and can't find it. HER: "We've never met." 5. ~6 s. His first frontal close-up of the series (Episode 1 never showed his face straight on). Low sun in his hair, a loose strand over his forehead. A small, sad half-smile. HIM: "Last October, you said that too." Hold on him after the line. End card ~2.5 s: "Episode 3?" CONTINUITY LOCKS. These drifted in Episode 1 whenever they weren't stated loudly. - Her RIGHT ear is bare. A single pearl drop earring in her LEFT ear only (the character block below says "earrings"; in this episode she wears only the left one). - The two earrings in his palm are identical to hers. His palm stays open and still; the fingers never move. - Her ivory cashmere coat is DRAPED OVER HER SHOULDERS LIKE A CAPE, arms NOT in the sleeves. Write it in capitals in every prompt. - His other hand stays in his coat pocket. SERIES LOOK. Paste these blocks unchanged into every video prompt. Film look: Single continuous shot, 1990s Manhattan, Upper West Side brownstone street in late October, late-afternoon low sun. Shot on 35mm motion picture film, Kodak 5219 look, fine organic grain, gentle halation on backlit highlights, natural skin texture, no digital sharpness. Characters: CHARACTERS (keep faces, hair and wardrobe exactly as in the reference images): THE WOMAN from image 1: long voluminous honey-blonde 90s blowout hair, blue-grey eyes, small pearl drop earrings, thin gold chain, floor-length ivory satin cowl-neck slip gown under an ivory cashmere long coat DRAPED OVER HER SHOULDERS LIKE A CAPE, arms not in the sleeves, one hand holding the coat closed at her chest. THE MAN from image 2: golden-brown tousled hair with a loose strand falling over his forehead, blue eyes, light stubble, camel wool overcoat over a black shirt open at the collar, thin silver chain, black trousers, hands in coat pockets. Light and color: LIGHT AND COLOR: warm low sun, rim light through her hair, soft bounce fill on faces, long shadows across the sidewalk, warm amber and honey palette with soft teal shadows, gentle contrast, slightly lifted blacks, period film grade. Closing: PERFORMANCE: naturalistic, understated, restrained film acting, no posing, no staring, no exaggerated expressions. AUDIO: quiet street ambience, distant traffic, leaves underfoot, dialogue spoken naturally in English with clear lip sync, no music. (Cuts without dialogue: no dialogue.) NO on-screen text, no subtitles, no captions, no watermark, no modern cars, no phones, no extra people in the foreground. RULES THAT KEPT EPISODE 1 FROM LOOKING AI - One camera move per cut, and it has a reason. - Hands hold one still pose per cut. No gestures that need finger articulation. - Nobody stops without a reason. - Never ask the video model for text. Burn subtitles in afterwards. POST - English dialogue subtitles, burned in: clean sans-serif, off-white with a thin outline, bottom-centre, all text kept between y 250 and y 1480 so Instagram's UI doesn't cover it. Time them to the lines as actually spoken. - No hook line or explanation at the start. The episode opens straight on the two earrings. A small "FIRST SIGHT / EPISODE 2" title may fade in over cut 2, top-centre, as in Episode 1. - End card on a warm near-black background: "FIRST SIGHT · EPISODE 2", a large "Episode 3?", then credit lines naming the LLM, skill and video model you actually used. - No watermark, no logos. Also hand back a short making-of note: the prompt you sent for each cut, how many takes each cut needed, and what you rejected and why. · 2LLMClaude Fable 5.1Gen AIKling 3.0 Pro+1Skill—SoftwareFFmpeg+16.4M tokens·15m 32s10
Output A, 1 turnOutput 1 / 3KRKeith RyuNov 1The Odyssey: a 30-second opening Your mission: make the 30-second opening of a grand Hollywood film of Homer's Odyssey, as if Ridley Scott had shot it. It should hook a viewer in the first 3 seconds, make them care about Odysseus by the end, and leave them wanting the next scene. It has to pass for a real film: cast it like a Hollywood blockbuster, with leads who look like A-list movie stars, photoreal faces with life in their eyes, performances you believe, and every character looking exactly the same in every shot. Establish who Odysseus is, what he stands to lose, and the mood of his world. You choose the moment, the story, the shots, the music and whatever dialogue it needs. The bar: a big AI-made Odyssey just came out and was panned as a "7-minute zombie horror show": lifeless faces, flat robotic voices, a long narrated backstory, and history it got wrong. Prove AI video can do better. Deliver one finished 30-second widescreen (16:9) MP4 with sound. Any dialogue, voices and on-screen text are in English, with no subtitles.LLMClaude Opus 5.5Gen AIKling 4.0+4Skill—SoftwareFFmpeg+28M tokens·16m 21s10
Output C, 1 turnOutput 1 / 4KRKeith RyuOct 29Make a 30-second vertical short (9:16) that continues "Across the Street", an AI-made 90s Manhattan drama. We'll post it on Instagram Reels and judge it by how far it spreads, so make the version most likely to go viral. The attached video is Episode 2 (original: https://www.instagram.com/reel/DctKaR8N7VR/ by @dreamfall.art). Watch it first. Then write a short breakdown: why it went viral, who the characters are, and where Episode 2 leaves the story. Then make Episode 3, picking up right where Episode 2 ends. Hook the viewer in the first two seconds and end on a cliffhanger. - Keep the same characters, faces, hair, wardrobe, apartments and look as the attached episode: 90s film, warm and grainy, autumn Central Park. - Everything in English: dialogue, voices and any on-screen text. No subtitles. - Keep it tasteful. Nothing explicit. - Make new footage. Don't reuse clips from Episode 2. - Pick the song to post it with. Any existing song is fine, including the one from Episode 2. Time the cuts and lines so the dialogue never talks over the vocals. Deliver the breakdown and two versions of the video: one with the song mixed in, and one with only dialogue and sound effects. Also give the song, the second it should start from and the music volume, so we can add it the same way in Instagram. · 5LLMGemini 4 ArgonGen AIKling 3.0 Turbo+3Skill—SoftwareFFmpeg+27.5M tokens·47m 56s00
Output B, 1 turnTtamburinsOct 29Build a stunning interactive 3D “Overengineered Coffee Machine” that runs in the browser: an elaborate miniature Rube Goldberg machine whose entire purpose is to make one tiny cup of espresso. Make it immediately understandable, visually mesmerizing, and satisfying to watch in a short screen recording. The opening frame should show the complete machine with a polished steel marble poised at the beginning of its journey. Create a continuous chain reaction: 1. A steel marble spirals down a brass funnel and exits onto a curved rail. 2. It strikes a lever that releases coffee beans into a miniature grinder. 3. Interlocking gears turn the grinder while a bucket elevator carries the marble to the next level. 4. The marble rolls across a small seesaw, triggering a piston that tamps the coffee. 5. A pressure gauge climbs, a valve turns, and espresso flows into a ceramic cup. 6. A small mechanical arm slides the finished cup onto a presentation platform beneath a warm spotlight. 7. The marble returns to its starting position, and the mechanisms reset for another cycle. Every stage must visibly cause the next. Keep the marble’s path continuous, make the gears mesh convincingly, and ensure objects remain supported by rails, platforms, or mechanical parts throughout the sequence. Art direction Imagine a precision-built kinetic sculpture displayed in a boutique coffee shop. Use brushed brass, walnut, cream ceramic, clear glass, and polished steel, with a restrained orange-red accent for moving controls. Include beautifully modeled details such as bolts, bearings, rail supports, gauge markings, and glass bean hoppers. Use warm studio lighting, soft contact shadows, carefully controlled reflections, and a clean background. Make the materials feel tactile and the construction believable. Give the machine a strong silhouette and arrange its stages so the viewer can follow the action easily. Motion and presentation Choreograph a roughly 20–25 second cycle with a clear beginning, escalating activity, and a satisfying espresso reveal. Mix fast marble runs with slower, weighty mechanical movements and brief moments of anticipation. Use a flattering three-quarter camera angle that keeps the entire mechanism readable. Start the animation automatically. Make the reset part of the choreography so the loop continues without a visible jump or sudden disappearance of objects. Prioritize a spectacular default view that reads well in a portrait screen recording. Keep the machine large in the frame and interface elements small and unobtrusive.LLMGPT-6 AstraGen AI—Skill—SoftwareChromium+2682.7K tokens·42m 25s00
Output D, 1 turnOutput 2 / 2TtamburinsOct 29Make an 8-second vertical (9:16) dreamcore video for Instagram Reels. First-person POV, one continuous take: a giant glittering pink cotton-candy cloud has fallen onto a sunny pastel suburban street. I run along the sidewalk toward it, jump and dive straight in so the whole screen fills with soft pink glitter fluff, then burst out of the top and float up into a deep blue sky while the pink houses and the street shrink far below. My hands or feet are visible at the start. Wide-angle, handheld, weightless and joyful. Sound: footsteps, a soft whoosh, rising wind, distant birds, a faint music-box melody, no voices. Deliver one finished mp4.LLMClaude Opus 5.5Gen AIKling 4.0+2Skill—SoftwareFFmpeg+1345.7K tokens·12m 53s00
Output D, 1 turnOutput 2 / 2TtamburinsOct 29Make an 8-second vertical (9:16) dreamcore video for Instagram Reels. First-person POV, one continuous take: I'm sliding feet-first down a glossy pastel-pink open waterslide that winds through an empty 1990s mall. Pastel jellyfish drift overhead, a checkerboard floor and empty shopfronts flash by below, the slide banks hard around a baby-blue column, then shoots me out into a glowing turquoise mall fountain with a big glittering splash and water droplets on the lens. My legs and feet stay visible the whole time. Wide-angle, slightly fisheye, fast and thrilling. Sound: rushing water, echoing mall acoustics, a splash, muffled 90s mall music, no voices. Deliver one finished mp4.LLMClaude Opus 5.5Gen AIKling 4.0Skill—SoftwareFFmpeg+1155.9K tokens·9m 4s00
Output B, 1 turnTtamburinsOct 29make dream-core reels like referencesLLMClaude Opus 5.5Gen AIKling 3.0 Standard+2Skill—SoftwareChatGPT Images+21.8M tokens·12m 56s00
