The paper discusses the merging of next-to-leading order (NLO) results with parton shower simulations in the context of MC@NLO. The goal is to achieve accurate predictions for observables exclusive in different light-jet multiplicities. The authors propose a merging procedure that can be easily incorporated into existing MC@NLO implementations. They use the automated aMC@NLO framework to illustrate the method, considering the production of a Standard Model Higgs, an $ e^{+}\nu_{e} $ pair, and a $ t\bar{t} $ pair at the 8 TeV LHC. The key idea is to use matrix elements with $ i = J $, where $ J $ is the number of jets, to achieve LO+LL accuracy for J-jet exclusive observables. This approach avoids double-counting and ensures the correct accuracy for observables exclusive in different jet multiplicities. The authors also discuss the technicalities of the merging procedure, including the use of Sudakov reweighting and the definition of appropriate scales for the shower and matrix elements. The results show that the proposed merging procedure is effective in achieving accurate predictions for observables exclusive in different jet multiplicities.The paper discusses the merging of next-to-leading order (NLO) results with parton shower simulations in the context of MC@NLO. The goal is to achieve accurate predictions for observables exclusive in different light-jet multiplicities. The authors propose a merging procedure that can be easily incorporated into existing MC@NLO implementations. They use the automated aMC@NLO framework to illustrate the method, considering the production of a Standard Model Higgs, an $ e^{+}\nu_{e} $ pair, and a $ t\bar{t} $ pair at the 8 TeV LHC. The key idea is to use matrix elements with $ i = J $, where $ J $ is the number of jets, to achieve LO+LL accuracy for J-jet exclusive observables. This approach avoids double-counting and ensures the correct accuracy for observables exclusive in different jet multiplicities. The authors also discuss the technicalities of the merging procedure, including the use of Sudakov reweighting and the definition of appropriate scales for the shower and matrix elements. The results show that the proposed merging procedure is effective in achieving accurate predictions for observables exclusive in different jet multiplicities.