Flow has been described as a state of optimal performance, experienced universally across a broad range of domains: from art to athletics, gaming to writing. However, its phenomenal characteristics can, at first glance, be puzzling. Firstly, individuals in flow report a reduction in their sense of self, despite the fact that they perform in a manner which evinces their agency and skill. Secondly, flow states are felt to be effortless, despite the prerequisite complexity of the tasks that engender them. In this paper, we unpick these features of flow, as well as others, through the active inference framework, which posits that action and perception are forms of active Bayesian inference directed at sustained self-organisation; i.e., the minimisation of variational free energy. We propose that the phenomenology of flow is rooted in the deployment of high precision over i) the expected sensory consequences of action and ii) beliefs about how action will sequentially unfold. This computational mechanism thus draws the agent to minimise the ensuing (i.e., expected) free energy through confident pragmatic action. Furthermore, given the challenging dynamics the flow-inducing situation presents, attention must be wholly focussed on the unfolding task whilst counterfactual planning is restricted, leading to the attested attenuation of phenomenal self-modelling. This, in turn, means that both the mechanistic and experiential aspects of flow are highly distinct from those involved in states of dissipative self-modelling, like those engendered by dissociative disorders. More broadly, our approach to action-centred phenomenology can be applied to similar facets of agentive experience beyond canonical flow states, providing insights into the mechanisms of selfless experiences, embodied expertise and wellbeing.