AI filmmaking & systems

Trailers, short films and scene studies. A practice in cinematic intent, performance and continuity.

Systems & method

14 films

The frame is only
part of the system.

AI filmmaking needs more than a good image. It needs a way to carry intent, references and decisions from one shot to the next.

My work brings a cinematographer’s eye to AI systems engineering: agentic production at Argil, project memory and the architecture of complex creative work.

Argil / AI systems engineering

Agentic film production

Production pipelines designed around creative intent: reference roles, memory of approved choices, character and shot continuity, and targeted repair. The architecture keeps the filmmaker’s decisions legible as agents move between tasks.

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Knowledge & agent context / Research and development

Mnemion

A local-first knowledge and agent-context system exploring source provenance, trust boundaries and compiled context. The aim is to give creative and technical work a durable, auditable memory.

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Project continuity & production memory

MoltHub

Repository-backed project continuity: intent, sources, decisions, missions and evidence travel together. A shared memory for work that needs to survive a handoff between people and agents.

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Read the whole.
Then refine the parts.

Understand the intention and the relationships before changing the system. Test the weak points, lock the architecture, then refine. In production, that means keeping creative choices and handoffs explicit.

Reading a SystemLire l’essai en français

Ideas behind the images