All case studies

Behind the build

A launch film for an idea nobody could picture

Persona Lobby pressure-tests propositions against synthetic persona panels grounded in real population data. That sentence loses a room. This is how it became seventy-five seconds a founder can judge without trusting a word of it.

The brief

The product is genuinely hard to explain. Synthetic personas, psychometric grounding, census-weighted panels: every accurate description of it sounds like a research paper, and founders do not buy research papers.

So the brief was narrow. Land the idea in under ninety seconds, using one ordinary scenario a viewer already understands, and answer the sceptic's question, how do you know it is accurate, inside the film itself rather than in a follow-up call. The delivered cut runs seventy-five.

What it had to do
Relatable

Open on a coffee shop loyalty app, not on a data pipeline. The abstraction arrives after the viewer already cares.

Credible

Name the real population data and the human validation step on screen, so the accuracy objection is met before it is raised.

Launch-ready

Typography, pacing and sound finished to a standard that survives being dropped straight onto a homepage.

The stack, by job
Script and structure
Claude, ChatGPT

Compressing a technical proposition into a spoken seventy-five seconds, then cutting it again. Most of the work here was deletion.

Voice
ElevenLabs

A localised read with the pacing the edit needed, re-cut as often as the timing changed.

Footage and faces
Grok Imagine, Hedra

Cinematic B-roll and persona portraits that would otherwise have meant a location, a crew and a cast.

Interface, motion and mix
Hand-built

The product interface, the text choreography and the audio layering. Not generated, decided.

The part AI didn't do

Twenty-plus versions went in the bin

The tools produced usable material within an hour. Getting to something worth publishing took days of rejecting output that was fine. That gap is the entire skill, and no subscription closes it.

The generated footage was pushed back, not forward

The obvious move is to lead with the most spectacular AI shot. It was faded into a soft background instead, so the words and the interface carry the message. Restraint reads as confidence; spectacle reads as a demo.

Typography and pacing were the real design work

Alignment, weight, negative space, the easing on every text cascade, where the voice pauses and where it does not. AI is poor at precise minimal layout, and precise minimal layout is what makes a film look expensive.

The message stayed in charge

Every effect that did not help a founder understand the product was removed, however good it looked on its own.

Traditional versus this
Budget

€10,000+ for an agency asset: location, crew, cast, voice talent, motion design

Under €200 in tokens across the stack

Elapsed time

Three to four weeks, gated on scheduling

Days, gated only on judgement

Iterations

One or two, because each reshoot has a hard cost

Twenty-plus, because a version costs almost nothing to discard

Where the risk sits

Committed up front, before anyone has seen a cut

Deferred to the edit, where it is cheap to be wrong

Why this is on an AI consultancy's site

This sits on an AI consultancy's site because it is the same method, in a medium you can judge in seventy-five seconds. Scope one outcome tightly. Get a rough working version fast. Discard freely while it is still cheap to be wrong. Ship the version that survives.

That is how the workflows get built too. The tools are different, the discipline is identical, and the value was never in owning the tools.

AI-assisted production. Script, voice and visual assets were generated with the tools named above; structure, interface design, motion, edit and final mix were human decisions, reviewed and signed off before publication. How Artellis uses AI

If that method would suit something you're trying to get moving, the next step is a short call.