We formulate a massively general framework for optimal dynamic stochastic control problems which allows for a control-dependent informational structure. The issue of informational consistency is brought to light and investigated. Bellman’s principle is formulated and proved. In a series of related results, we expound on the informational structure in the context of (completed) natural filtrations of (stochastic) processes.