  From the deployment of chatbots as procurement negotiators by corporations
such as Walmart to autonomous agents providing 'differentiated chat' for
managing overbooked flights, synthetic media are making the world of logistics
their 'natural' habitat. Here the coordination of commodities, parts and labour
design the problems and produce the training sets from which 'solutions' can be
synthesised. But to what extent might synthetic media, surfacing via
proto-platforms such as MidJourney and OpenAI and apps such as Eleven Labs and
D:ID, be understood as logistical media? This paper details synthetic media
experiments with 'ChatFOS', a GPT-based bot tasked with developing a logistics
design business. Using its prompt-generated media outputs, we assemble a
simulation and parody of AI's emerging functionalities within logistical
worlds. In the process, and with clunky 'human-in-the-loop' stitching, we
illustrate how large language models become media routers or switches,
governing production of image prompts, website code, promotional copy, and
investor pitch scenarios. Together these elements become links chained together
in media ensembles such as the corporate website or the promotional video,
fuelling the fictive logistics visualisation company we have 'founded'. The
processes and methods of producing speculative scenarios via ChatFOS lead us to
consider how synthetic media might be re-positioned as logistical media. Our
experiments probe the ways in which the media of logistics and the logistics of
media are increasingly enfolded. We ask: what can a (practice-based)
articulation of this double-becoming of logistics and synthetic mediality tell
us about the politics and aesthetics of contemporary computation and capital?
