It is clear from this case study that the SC score can be used to mitigate some of the linker feasibility concerns, yet it still remains a proxy to more rigorous definitions of MOF synthesisability. To enhance our dreaming framework, a comprehensive metric that evaluates the entire MOF structure, such as, for example, the crystal free energy, would likely be necessary to encourage the experimental validation of simulation-guided MOF discoveries. Such a metric could be integrated as an additional output for direct multiobjective optimisation of MOF synthesisability alongside other KPIs, offering a more holistic approach than simply restricting focus to the synthesisability of individual linkers. Nonetheless, it is important to recognise that this framework might still inadequately address the risks associated with purely theoretical predictions. For instance, a synthetic chemist may reject many linker candidates due to their thermodynamic instability or potential explosiveness. Feasibility in these cases often rely on expert chemical intuition rather than forming an integral part of the property-driven optimisation, which limits the practical impact of generative modelling results. Therefore, our future work aims to integrate these considerations into the deep dreaming framework from the outset, rather than reasoning the feasibility of its predictions retroactively.