We present a new approach to ESM output emulation, based on stitching together segments of existing simulations to create climate information according to new scenarios. Besides describing the algorithm, we show some of the results from its extensive validation, and we discuss its strengths and limitations. We underline its value in supporting impact and risk modeling, thanks to the comprehensive and complete quality of its output, which is thus well suited to the needs of state-of-the-art impact models, but also its significance for the scenario and climate modeling communities: if the need for climate information can rely on STITCHES and other recently proposed sophisticated climate emulators, there may be important implications about the choice of how many, and what types of scenario experiments should be run by the computationally demanding ESMs. The recent developments and promises in the emulator world can bring about important considerations while we approach the design of the next phase of CMIP/ScenarioMIP.