Maarten Verwaest

Generative AI dominates the conversation, but faster and more reliable television production does not come from offloading creative decisions to a large language model. It comes from understanding context.

This session demonstrates how Limecraft combines camera-to-cloud workflows with production metadata such as scripts, script notes, continuity data, time-codes and automated transcripts. By connecting these sources while filming is still under way, the platform can automatically organise rushes, synchronise material, identify relevant takes and generate reliable pre-cuts for editorial review.

The approach is grounded in real production environments, including entertainment formats like The Voice (ITV Studios) and continuing drama as produced by Warner Bros. These cases show that effective automation depends less on randomly applying AI than on capturing, structuring and interpreting the metadata created throughout production. AI is used selectively, where it adds measurable value, while deterministic workflow logic provides accuracy, traceability and control.

The objective is not to automate storytelling or generate the final pixels. It is to remove repetitive technical work so editors and creatives can concentrate on narrative, performance and editorial judgement. Bringing editorial preparation much closer to the moment of production also means that decisions can be made while the material and its context are still fresh in people’s minds.

The result is a shorter path from set to post, faster feedback during production and substantial consequential savings in editorial capacity, without compromising creative control.

In this session, we will explore in detail the anatomy of successful automation.