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We're an indy building frameworks and tools to give creatives better control over machine-generated expression.

Born from two decades on Madison Avenue. Based in coastal Florida. We bring storytelling craft to pioneering brands aiming to create iconic campaigns, actions and films in the age of AI.

R3.01 | 2026

MORE HUMAN (2026)

Twenty years after BBH London's iconic "Human" commercial, an android discovers what truly makes us human — not in capability, but in connection. This spec pilot explores AI consciousness, belonging, and the search for tribe. An experiment in AI filmmaking, character consistency, and emotional precision using Midjourney v7, Google Veo 3.1, and the Evolutionary Expression LUT™ methodology. Meta-symmetry for the algorithmic age: AI that evolved, telling the story of an android that evolved.
EXPERIMENT MORE HUMAN
CHARACTER Johnnie (Android)
YEAR 2026
FOCUS AI filmmaking, character consistency, branded content storytelling
SERIES BIBLE AVAILABLE
R2.02 | 2025

JULIET - JOY (2025)

Juliet's anticipation soliloquy – "Gallop apace, you fiery-footed steeds" – performed three times using our Evolutionary Expression LUT™. Eve moves through the Joy family progression: Serenity → Joy → Ecstasy. The text remains constant. The emotional precision escalates. This demonstrates the tool's directorial power: giving actors scientific emotional targets while preserving their artistry. Same words, different emotional architecture. Where AI image generation defaults to Hollywood stereotypes and demographic bias, the LUT redirects creative control to human performance – systematic enough to be repeatable, nuanced enough to remain authentic. This is how we give creatives better control over machine-generated expression: by improving human performance first.
EXPERIMENT Evolutionary Expression LUT™
CHARACTER Juliet (Eve)
EMOTION FAMILY Joy (Serenity → Joy → Ecstasy)
YEAR 2025
White Paper Awaits
R2.01 | 2025

LADY MACBETH - SADNESS (2025)

Our Evolutionary Expression LUT™ gives actors precise emotional targets based on Plutchik's psychology and Darwin's 1872 observations on universal expressions. Here, actor Eve performs Lady Macbeth's sleepwalking scene three times – each directed to a different intensity in the Sadness family: Pensiveness → Sadness → Grief. Same lines. Same blocking. Only the emotional precision changes. Watch how Shakespeare's "Out, damned spot" transforms when performance meets systematic emotional direction. This is the tool: making the invisible architecture of emotion visible, directable, and repeatable. Bypassing AI's demographic defaults by giving human performers scientific guardrails that preserve artistic interpretation.
EXPERIMENT Evolutionary Expression LUT™
CHARACTER Lady Macbeth (Eve)
EMOTION FAMILY Sadness (Pensiveness → Sadness → Grief)
YEAR 2025
White Paper Awaits
R1.02 | 2025

RAGE (2025)

We prompted AI with the single word "rage" — no demographics, no context. The output defaulted to entertainment packaging: movie posters, album covers, comic books. The word "RAGE" appeared as graphic typography in 75% of generations. When human forms emerged, they were predominantly male (60-70%), white (95%+), and athletic — often mid-transformation into creatures. Werewolves. Fangs. White eyes without retinas. Fire from heads. The Latin root "rabies" (madness) manifesting as loss of human form. And repeatedly, unprompted: The Hulk. Green skin, torn purple pants, Marvel's character becoming synonymous with fury itself. This isn't algorithmic bias. It's archaeology — excavating who gets to be angry in our cultural record, who gets mythologized as monster.
STUDY RAGE
YEAR 2025
FOCUS Demographic bias in AI emotional encoding
View White Paper
R1.01 | 2025

HYSTERIA.I. (2025)

When we prompted AI image generators with the single word "hysteria" — no demographics, no era, no context — it produced young, white, thin women (93% across 60 generations). Victorian dress appeared unprompted. Medical settings emerged without request. Even Marilyn Monroe's aesthetic surfaced from the word alone. The systems had learned emotion not from human experience but from 2,500 years of cultural encoding: Greek "hystera" (womb) → Victorian medical theater → Hollywood's visual language. This film documents that discovery. AI as cultural archaeologist, excavating sediment layers of gendered diagnosis. The algorithm doesn't create bias. It remembers what we've already encoded.
STUDY HYSTERIA.I.
YEAR 2025
FOCUS Gender bias in AI emotional encoding
View White Paper
What lightning
strikes
in an
instant
the boulder hums
all year
— A.R. Ammons
© 2025 MEANWHILE IN JUPITER LLC. ALL RIGHTS RESERVED.
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