Dimitry Nakhla | Babylon Capital®
RT @DimitryNakhla: A quality valuation analysis on $AMZN 🧘🏽‍♂️

•NTM P/OCF Ratio: 14.13x
•5-Year Mean: 22.10x

•NTM FCF Yield: 1.10%
•5-Year Mean: 2.60%

As you can see, $AMZN appears to be slightly undervalued using P/OCF

Going forward, investors can expect to receive ~56% MORE in operating cash flow & ~57% LESS in FCF per share🧠***

Before we get into valuation, let’s take a look at why $AMZN is a quality business

BALANCE SHEET✅
•Cash & Equivalents: $93.18B
•Long-Term Debt: $57.92B

$AMZN has an excellent balance sheet, an AA S&P Credit Rating & 54x FFO Interest Coverage Ratio

RETURN ON CAPITAL🆗 / ✅
•2020: 11.6%
•2021: 8.9%
•2022: 4.2%
•2023: 10.1%
•2024: 15.5%
•LTM: 15.4%

RETURN ON EQUITY✅
•2020: 27.4%
•2021: 28.8%
•2022: (1.9%)
•2023: 17.5%
•2024: 24.3%
•LTM: 24.8%

$AMZN has good return metrics, highlighting the financial efficiency of the business

REVENUES✅
•2019: $280.52B
•2024: $637.96B
•CAGR: 17.85%

FREE CASH FLOW🆗(✅)
•2019: $21.65B
•2024: $32.88B
•CAGR: 8.71%

NORMALIZED EPS✅
•2019: $1.15
•2024: $5.53
•CAGR: 36.90%

SHARE BUYBACKS❌
•2019 Shares Outstanding: 10.08B
•LTM Shares Outstanding: 10.78B

MARGINS🆗➡️✅
•LTM Gross Margins: 49.6%
•LTM Operating Margins: 11.4%
•LTM Net Income Margins: 10.5%

*Important for $AMZN to continue expanding margins & increase profitability

***NOW TO VALUATION 🧠

As stated above, investors can expect to receive ~56% MORE in OCF & ~57% LESS in FCF per share

We’re using P/OCF instead of P/E as historical data reveals a stronger correlation between AMZN's share price and Operating Cash Flow (OCF)

Today, analysts anticipate aggressive OCF (per share) growth between 2025 - 2027:

2025E: $13.11 (21% YoY) *FY Dec

2026E: $16.21 (24% YoY)
2027E: $19.90 (23% YoY)

$AMZN has a decent track record of meeting analyst estimates ~2 years out, so let’s assume $AMZN ends 2027 with $19.90 in OCF per share & see its CAGR potential assuming different multiples (photos attached below also include these CAGR estimates):

17x P/OCF: $338.24💵 … ~21% CAGR

16x P/OCF: $318.34💵 … ~18% CAGR

15x P/OCF: $298.45💵 … ~14% CAGR

14x P/OCF: $278.55💵 … ~11% CAGR

As you can see, $AMZN appears to have strong double-digit CAGR potential if we assume ~15x P/OCF, a multiple that’s justified given its growth rate & below its historical average

AWS & Amazon Ads will continue to drive growth & profitability. In $AMZN LTM:

☁️AWS revenue: $116.38B
📈Ads revenue: $61.23B

Combined, these segments generated $177.61B net revenue … with ~37% Operating Income Margin

Today at $219💵 $AMZN appears to be a good consideration for investment

#stocks #investing

Data: TIKR
Graphs: FAST Graphs
___

𝐃𝐈𝐒𝐂𝐋𝐎𝐒𝐔𝐑𝐄‼️: 𝐓𝐡𝐢𝐬 𝐢𝐬 𝐍𝐎𝐓 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐀𝐝𝐯𝐢𝐜𝐞. 𝐁𝐚𝐛𝐲𝐥𝐨𝐧 𝐂𝐚𝐩𝐢𝐭𝐚𝐥® 𝐚𝐧𝐝 𝐢𝐭𝐬 𝐫𝐞𝐩𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐯𝐞𝐬 𝐦𝐚𝐲 𝐡𝐚𝐯𝐞 𝐩𝐨𝐬𝐢𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐢𝐞𝐬 𝐝𝐢𝐬𝐜𝐮𝐬𝐬𝐞𝐝 𝐢𝐧 𝐭𝐡𝐢𝐬 𝐭𝐰𝐞𝐞𝐭.

𝐓𝐡𝐞 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐝 𝐢𝐧 𝐭𝐡𝐢𝐬 𝐭𝐰𝐞𝐞𝐭 𝐢𝐬 𝐢𝐧𝐭𝐞𝐧𝐝𝐞𝐝 𝐟𝐨𝐫 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐩𝐮𝐫𝐩𝐨𝐬𝐞𝐬 𝐨𝐧𝐥𝐲 𝐚𝐧𝐝 𝐬𝐡𝐨𝐮𝐥𝐝 𝐧𝐨𝐭 𝐛𝐞 𝐜𝐨𝐧𝐬𝐭𝐫𝐮𝐞𝐝 𝐚𝐬 𝐢𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐚𝐝𝐯𝐢𝐜𝐞 𝐭𝐨 𝐦𝐞𝐞𝐭 𝐭𝐡𝐞 𝐬𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐧𝐞𝐞𝐝𝐬 𝐨𝐟 𝐚𝐧𝐲 𝐢𝐧𝐝𝐢𝐯𝐢𝐝𝐮𝐚𝐥 𝐨𝐫 𝐬𝐢𝐭𝐮𝐚𝐭𝐢𝐨𝐧. 𝐏𝐚𝐬𝐭 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐢𝐬 𝐧𝐨 𝐠𝐮𝐚𝐫𝐚𝐧𝐭𝐞𝐞 𝐨𝐟 𝐟𝐮𝐭𝐮𝐫𝐞 𝐫𝐞𝐬𝐮𝐥𝐭𝐬.

𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐝 𝐢𝐧 𝐭𝐡𝐢𝐬 𝐭𝐰𝐞𝐞𝐭 𝐡𝐚𝐬 𝐛𝐞𝐞𝐧 𝐨𝐛𝐭𝐚𝐢𝐧𝐞𝐝 𝐟𝐫𝐨𝐦 𝐬𝐨𝐮𝐫𝐜𝐞𝐬 𝐛𝐞𝐥𝐢𝐞𝐯𝐞𝐝 𝐭𝐨 𝐛𝐞 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞, 𝐛𝐮𝐭 𝐢𝐬 𝐧𝐨𝐭 𝐠𝐮𝐚𝐫𝐚𝐧𝐭𝐞𝐞𝐝 𝐚𝐬 𝐭𝐨 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞𝐧𝐞𝐬𝐬 𝐨𝐫 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲.
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App Economy Insights
OpenAI just hit a $500B valuation.

Now the world's most valuable private company.

Here’s how the top 10 stack up. https://t.co/ISzEp5kJED
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AkhenOsiris
WSJ:

Huang and various Nvidia executives have complained privately about Lutnick’s tactics and the slow progress to other administration officials, some of the people said. Sacks and others in the administration are also annoyed, they said. One senior administration official said Lutnick hasn’t held up the deal, but other administration officials contended he had slowed the process down.

The U.A.E. is progressing ahead with its agreement using a 1:1 ratio of the nation’s investment in the U.S. in exchange for billions of dollars worth of Nvidia’s chips, the senior administration official said. At least $1 billion will be sent from the U.A.E. to the U.S. in exchange for at least $1 billion worth of Nvidia chips by the end of the year, according to the official. The U.A.E. would have to pay separately for the chips, some other people said.
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Emily
These types of images are currently going viral on social media. People are experimenting with various looks. Here is the prompt for Google Gemini 2.5 Nano banana, have fun 😬

{
scene: "Tight portrait of a sleek black cat with a side-swept, emo-style fringe and a small silver septum ring. The cat stares directly at camera with half-lidded, amber–yellow eyes. Glossy black fur shows soft specular highlights. Background is a plain off-white wall, minimal texture, faint vertical seam. The look is moody, punk/goth, slightly humorous but deadpan.",
"subject_details": [
"species: domestic short-hair cat, solid black coat",
"ears: upright, left ear partly covered by fringe",
"eyes: almond shape, amber/greenish-yellow irises, vertical pupils",
"nose: black leather with a polished silver circular septum ring centered below the bridge",
"fur: fine, glossy; fringe falls diagonally from left to right across forehead",
"whiskers: long, white to light gray, clean curvature"
],
"composition": {
"framing": "tight head-and-neck close-up",
"angle": "eye-level",
"crop": "ears fully in frame; whisker tips near edge but not clipped",
"background": "smooth off-white wall; no props or text"
},
"lighting": {
"style": "single on-camera flash look with hard falloff",
"qualities": [
"crisp specular highlights on fur",
"subtle shadow cast on wall to camera-right",
"overall neutral-white flash balance"
],
"white_balance_kelvin": 5200
},
"camera": {
"lens_equiv_mm": 50,
"aperture_f": 5.6,
"shutter_s": "1/160",
"iso": 200,
"focus": "precise on the eyes and nose ring; shallow-to-moderate depth to keep muzzle sharp, background soft",
"stabilization": "off (flash freezes motion)"
},
"style": {
"genre": ["pet portrait", "editorial", "emo/punk aesthetic"],
"color_palette_hex": ["#0A0A0A", "#1A1A1A", "#E0DCCF", "#D4C55A"],
"finish": ["high micro-contrast", "clean blacks", "subtle vignette 5%"]
}
},
"negative_prompt": [
"no text, logos, watermarks, timestamps",
"no extra eyes/ears/noses, no deformed whiskers, no duplicated jewelry",
"no cartoon/anime stylization, no painterly brushstrokes",
"avoid overexposed hotspots, banding, excessive noise or color casts",
"do not show body piercings on humans; only the cat’s decorative ring is visible and non-invasive"
],
"output": {
"resolution": {"width": 1536, "height": 2048},
"format": "PNG",
"background": "clean",
"variations": 1
},
"safety": {
"content_notes": "pet portrait; non-violent; decorative jewelry only",
"nsfw": false
},
"guidance": {
"focus_on": ["eyes", "nose ring", "fringe texture", "fur specular highlights"],
"avoid": ["motion blur", "color fringing", "cropping off ear tips"],
"postprocess_suggestions": [
"light clarity (+10) and sharpening (0.5 radius)",
"subtle vignette",
"preserve true blacks without crushing whisker detail"
]
}
}
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Emily
Veo3 fast on the Gemini app

{
"format": "selfie vlog in a stone-arch arcade at golden hour",
"primary_camera_motion": "handheld selfie push-in with slight arc-left (one motion only)",
"stabilization": "natural handheld micro-bob retained",
"lens": "24mm equiv, mild wide selfie perspective",
"exposure": "balanced, no clipping in chandeliers",
"shutter_look": "1/48s cinematic",
"aperture_look": "f/2.8 shallow, gentle background separation"
},
"subject": {
"character_string": "Three late-20s friends in a warm-lit medieval-style market arcade. Girl A (camera holder, right): light skin, dark hair in double space buns with two face-framing strands, hoop earrings, white sleeveless blouse, short pearl necklace + pendant, glossy neutral lipstick, pale pink manicure. Girl B (center): light skin, curly brunette hair in messy high bun, freckles, black overshirt, small pearl choker, bright smile. Girl C (left background): light skin, long straight blonde hair, white long-sleeve dress, playful shy pose with hand at cheek.",
"wardrobe_notes": "clean casual, no logos, tasteful jewelry",
"mood": "joyful, candid, weekend energy"
},
"scene": {
"location": "covered stone arcade with Romanesque arches and chandeliers",
"time": "late afternoon to early evening",
"crowd": "softly bustling background of shoppers and friends",
"lighting": "2700K chandelier key with soft window/storefront fill, warm speculars on hair and jewelry",
"weather": "dry interior"
},
"visual_details": {
"beats": [
{
"time": "0.0-2.5s",
"action": "Girl A raises phone for selfie and steps forward; Girl B leans in from left, both smile; shallow DOF keeps faces crisp while crowd stays soft.",
"physics": "hair micro-sway; earrings jitter subtly with motion",
"dialogue": "Girl A: 'Girls night!'"
},
{
"time": "2.5-5.0s",
"action": "Small arc-left push reveals repeating arches and chandelier; Girl B laughs, Girl A glances at lens; Girl C peeks from back-left, playful wave.",
"physics": "handheld micro-bob; necklaces settle; crowd parallax left-to-right"
},
{
"time": "5.0-8.0s",
"action": "Group bunches closer to lens for a cheerful hold; Girl A places hand to chest showing nails, Girl B beams, Girl C leans in; end on a stable smiling freeze for last 0.5s.",
"physics": "skin and cloth compress naturally; hair strands drift then settle"
}
],
"facial_expression": "natural smiles, bright eyes, no plastic skin",
"skin_tone": "true-to-life with gentle filmic grain"
},
"cinematography": {
"camera": "handheld smartphone-style front camera look",
"movement_path": "0.6m push-in while arcing ~15° left",
"framing": "starts tight two-shot (A+B), widens to include C mid-background, ends tight three-shot near-lens",
"color_grade": "warm tungsten with subtle teal ambient lift; soft contrast; mild halation around chandeliers; light grain",
"depth_of_field": "faces tack sharp; background arches softly blurred",
"composition_notes": "keep arches as repeating frames; keep faces centered rule-of-thirds while moving"
},
"audio": {
"ambience": "light indoor crowd murmur, occasional distant footsteps, faint chandelier clink",
"foley": "cloth rustle, phone handling, soft laughter",
"dialogue_direction": "capture on-camera mic feel; prioritize Girl A line at Beat 1",
"music": "none"
},
"color_palette": {
"primary": ["warm tungsten gold", "stone gray-beige"],
"accents": ["soft skin tones", "white fabrics", "subtle teal storefront fill"]
},
"physics_rules": [
"hair responds to head turns and micro-drafts; no jelly artifacts",
"earrings and necklaces oscillate then dampen naturally",
"cloth drape responds to shoulder/arm compression without clipping",
"handheld micro-bob ≤ 3% frame height; no rolling-shut[...]

ter wobble"
],
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Emily
Veo3 on the Gemini app
{
"primary_camera_motion": "slow push-in from waist-up two-shot to tight close-up (one motion only)",
"lens": "35mm equiv, slight wide for intimacy",
"exposure": "moody interior; hold detail in window highlights",
"shutter_look": "1/48s",
"aperture_look": "f/1.8 shallow depth, soft bokeh on street outdoors"
},
"subject": {
"character_string": "Two adults in their mid-20s. Man reclined in a brown leather armchair, dark tee, short dark hair, small stud earring; calm, affectionate gaze up. Woman in cropped cream tee and black athletic shorts, long dark hair partially covering face; she kneels across his lap, one arm around his neck, the other resting on his shoulder; gentle smile, tender body language.",
"mood": "warm, affectionate, playful; PG-13",
"wardrobe_notes": "casual streetwear; no logos; fully clothed"
},
"scene": {
"location": "cozy apartment or café lounge with patterned tile floor, white walls, big window to street with parked car",
"time": "evening interior with warm lamps and cool street spill",
"lighting": "key: soft warm lamp ~3000K from camera-left; fill: cool window spill ~5600K; practical reflections on leather",
"set_decoration": "brown leather chair, light curtains, framed poster off left"
},
"visual_details": {
"beats": [
{
"time": "0.0-2.5s",
"action": "Start mid two-shot as she leans in, foreheads nearly touch; he exhales a soft smile, eyes half-closed.",
"physics": "hair drapes forward; slight chest rise/fall; earrings catch specular"
},
{
"time": "2.5-5.0s",
"action": "Slow push-in; she brushes a strand of hair behind her ear and cradles his neck; they share a brief nose-to-nose nuzzle and laugh quietly.",
"physics": "cloth compression on shoulders; leather creaks subtly; hands settle naturally with finger micro-motions"
},
{
"time": "5.0-8.0s",
"action": "They hold a tender moment—she gives a quick cheek peck, then rest forehead to forehead; camera lands on tight close-up and holds the softness.",
"physics": "breathing and tiny head movements; hair strand oscillation dampens"
}
],
"facial_expression": "relaxed, affectionate; no exaggerated poses",
"skin_render": "natural texture, gentle filmic grain; no plastic sheen"
},
"cinematography": {
"framing": "start waist-up across the chair; end tight close-up on their faces angled 30°",
"movement_path": "push straight in ~0.5m, no extra pans/tilts beyond necessary framing",
"color_grade": "warm rose-brown midtones with soft contrast; slight teal in shadows from window; subtle halation on highlights",
"depth_of_field": "faces tack-sharp, background car and street bokeh",
"soundstage": "close on-camera mic intimacy"
},
"audio": {
"ambience": "faint street hush through window, distant car roll-by, room tone",
"foley": "leather chair creak, cloth rustle, soft hair touch",
"dialogue": "Woman (whisper): 'Missed you.' Man (soft): 'I'm here.'",
"music": "none"
},
"color_palette": {
"primary": ["warm leather brown", "soft cream", "skin tones"],
"accents": ["cool gray/blue from street", "deep charcoal shadows"]
},
"physics_rules": [
"hair responds to gravity and small nods; no jelly artifacts",
"hands conform to anatomy; fingers articulate; no clipping through bodies or chair",
"leather compresses and rebounds with realistic creak",
"maintain stable facial identity across frames"
],
"visual_rules": [
"PG-13 only: no nudity, no explicit acts, no groping; keep poses affectionate and respectful",
"no subtitles, captions, or watermarks",
"no brand logos",
"preserve highlight detail in window; avoid blown whites"
],
"limits": {
"compute": "single continuous shot, no cuts",
"safety": "consensual, wholesome tone"
}
} tweet

Emily
Veo3 fast
{
"format": "epic medieval landscape reveal",
"primary_camera_motion": "single slow dolly forward along the dirt path toward the hilltop castle (one motion only)",
"lens": "24–28mm equiv wide, grounded at ~1.5 m height",
"exposure": "moody overcast; retain cloud highlight detail",
"shutter_look": "1/48s cinematic",
"aperture_look": "f/5.6 deep focus; subtle mist diffusion in the distance"
},
"subject": {
"character_string": "Environment subject: a fortified stone castle with steep central spire and multiple round turrets perched on a rocky hill, overlooking a rustic village of timber cottages and thatched roofs; a winding dirt path with short cut posts and tall grasses leads from foreground to village; wildflowers and meadow textures flank the path; distant conifer ridges under heavy storm clouds.",
"mood": "majestic, ominous, awe-struck",
"wardrobe_notes": "none (landscape)"
},
"scene": {
"location": "alpine foothills or old-world valley",
"time": "late afternoon before a storm",
"weather": "low, fast-moving storm clouds; intermittent sun breaks",
"lighting": "soft, cool skylight with pockets of warm rim light on castle stone and meadow"
},
"visual_details": {
"beats": [
{
"time": "0.0-2.5s",
"action": "Begin low, centered on the rutted path with posts guiding perspective; forward dolly starts, grasses sway in the breeze; village comes into view mid-ground.",
"physics": "grass blades bend with steady wind; small dust skitters along the track"
},
{
"time": "2.5-5.0s",
"action": "Approach the village; castle mass grows dominant above; a brief sun break reveals specular highlights on wet stone.",
"physics": "chimney smoke lifts and shears; flags on turrets flutter consistently"
},
{
"time": "5.0-8.0s",
"action": "Close on the hill; camera settles in a composed hero frame with the castle towering; storm clouds roll overhead with subtle god-rays breaking through.",
"physics": "cloud advection left-to-right; light shafts brighten then fade; meadow movement dampens"
}
],
"atmospherics": "light haze around the hill; gentle film grain; no rain",
"macro_notes": "daisy and thistle heads along path, crisp texture without oversharpening"
},
"cinematography": {
"framing": "center-weighted leading-line composition; horizon low third; castle anchored at upper third intersection",
"movement_path": "straight 1.8 m dolly forward; micro-tilt only to maintain horizon — treat as framing, not a second motion",
"color_grade": "cool slate shadows with warm sun breaks; muted greens and earth browns; soft contrast with cinematic rolloff",
"depth_of_field": "foreground-to-infinity clarity; slight atmospheric falloff with distance",
"optics": "mild halation around sun shafts; no lens flare artifacts"
},
"audio": {
"ambience": "distant wind across meadow, occasional raven caw far off, soft creak of village timbers",
"foley": "grass rustle, faint flag flaps",
"dialogue": "none",
"music": "none"
},
"color_palette": {
"primary": ["slate gray clouds", "weathered stone", "meadow green"],
"accents": ["warm sun-break highlights", "earth brown path", "wildflower whites/yellows"]
},
"physics_rules": [
"wind vector ~6–8 mph left-to-right affects grass, flags, smoke consistently",
"cloud layers advect smoothly with parallax; no time-lapse jumps",
"volumetric light rays brighten/fade over ~2s; no flicker",
"maintain realistic scale for castle, village, and posts; no warping during dolly"
],
"visual_rules": [
"no people, animals, text, or watermarks",
"preserve detail in clouds and stone; avoid clipped highlights",
"single unbroken shot; no zooms or cuts",
"consistent environment continuity across frames"
],
"limits": {
"compute": "singl[...]

e shot, one primary motion",
}
}
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Emily
Veo3 fast on the Gemini app
{
"format": "nighttime urban portrait on metal steps",
"primary_camera_motion": "single slow handheld push-in from medium to tight overhead 3/4 angle (one motion only)",
"lens": "26–28mm equiv, smartphone-front feel",
"exposure": "dim ambient with on-camera flash look; retain highlight detail on white wings",
"shutter_look": "1/48s cinematic with mild motion blur",
"aperture_look": "f/2.2 shallow DOF; soft halation on speculars"
},
"subject": {
"character_string": "Young adult woman with long black hair and straight fringe, pale makeup with soft blush, seated curl on green metal steps. She wears a black blazer over light dress/tulle that pools on the ground, chunky brown platform oxfords, and large white feathered costume wings. She sits inward, hands clasping the shoe laces, looking down—quiet, reflective posture.",
"mood": "melancholic, delicate, ethereal but grounded (PG-13)",
"wardrobe_notes": "no logos; wings are practical feathers—no flight"
},
"scene": {
"location": "back-alley stoop with green-painted steel stairs, cracked pavement, small strip of grass and stones",
"time": "night",
"lighting": "key: on-camera flash pop feel; fill: cool streetlamp spill camera-left; background falls to shadow",
"weather": "dry pavement with slight humidity sheen"
},
"visual_details": {
"beats": [
{
"time": "0.0-2.5s",
"action": "Begin medium framing from above; slow push-in starts as she sits curled, wings slightly splayed.",
"physics": "loose hair shifts subtly; feathers quiver from a faint breeze"
},
{
"time": "2.5-5.0s",
"action": "She tightens a lace and exhales; chin tilts a little, eyes glance down; wings remain still.",
"physics": "cloth compresses at knees; tulle trail settles with micro ripples"
},
{
"time": "5.0-8.0s",
"action": "Camera eases into a tight portrait; she lifts her gaze a touch toward lens then closes eyes softly; hold on the quiet.",
"physics": "hand tremor minimal; specular roll on feathers and shoes remains stable"
}
],
"atmospherics": "subtle film grain; slight haze around highlights to echo flash bloom"
},
"cinematography": {
"framing": "subject centered, wings forming diagonals; stairs and pavement create gritty texture",
"movement_path": "straight push ~0.5 m; micro tilt only to keep face centered (not a second motion)",
"color_grade": "muted greens and grays; creamy whites for wings/tulle; gentle rose in skin; low-contrast shadows",
"depth_of_field": "face and front wing plane sharp; background softly falls off"
},
"audio": {
"ambience": "distant traffic hush, night insects, faint urban hum",
"foley": "shoe lace tug, fabric rustle, slight step creak",
"dialogue": "none",
"music": "none"
},
"color_palette": {
"primary": ["industrial green", "asphalt gray", "soft ivory"],
"accents": ["rose blush", "brown leather shoes"]
},
"physics_rules": [
"feathers respond to breeze with small independent flutter; no clipping",
"hair follows gravity and head rotations naturally",
"tulle exhibits layered translucency and soft specular bloom",
"handheld micro-bob ≤ 3% frame height; no rolling-shutter wobble",
"maintain consistent facial identity across frames"
],
"visual_rules": [
"PG-13 tone: no suggestive posing, no blood or injuries emphasized",
"no text, subtitles, or watermarks",
"no supernatural VFX; wings are practical costume",
"single unbroken shot; avoid zooms or extra moves"
],
"limits": {
"compute": "one primary motion, no cuts",
"safety": "respectful, fully clothed portrait"
}
}
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David Colombo
I put this together in just a few hours using two prompts, each repeated about six times, then upscaled the videos and selected the best shots. No sound has been added. It’s pretty amazing to create a sequence like this from scratch in virtually no time. @OpenAI https://t.co/cYHb3QuVsb
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