One of the remarkable advantages of our modular architecture is its support for flexible human/robot integration of automated tools. Instead of demanding a complete overhaul of laboratory layout and hardware, ChemOS 2.0 allows the automation of existing tools and minimally interrupts existing workflows. A drastic transformation of existing labs is often impractical, as it disrupts the research activity of academics and industry professionals. This can discourage them from transitioning to digitization. ChemOS 2.0 has been designed with a hybrid integration in mind, allowing researchers to gradually introduce automation into their workflows. Initially, the Nix configuration can be installed on a workstation in the laboratory and be later expanded upon. Users can begin by integrating simpler devices, before adding instruments one by one to their ChemOS 2.0 ecosystem. While testing connectivity between ChemOS 2.0 and the instrument servers, simulators were used instead of the actual lab hardware. As such, the deployment of the SiLA2 servers and testing of the actual hardware was therefore minimized, and regular operations of the laboratory were minimally interrupted. Digitization, including the implementation of tools like ChemOS 2.0, represent a considerable challenge for many laboratories, as it requires significant experience in the efficient use and integration of computational resources. We believe this creates the need for a new, emerging role in research laboratories: a "digital manager", responsible for orchestration, workflow assembly, and the integration of new (digital) tools, which we believe will be crucial to the proliferation of self-driving laboratories. Moreover, while is a financial barrier for automating many laboratories, we remain optimistic for the future given that the cost of automated tools is steadily decreasing each year. Following digital managers and cost, another hurdle may be less straightforward to address: the API-type access to automated tools. To aid the proliferation of SDLs, manufacturers should comprehensive support for the automation of their hardware, and recognize that in doing so, they can actually encourage more adoption of their products by academia, startups and industry. Importantly, our work represents a prototype implementation of the discussed design principles, and leaves room for structural refinements and further software development. As self-driving laboratories become more prevalent, the connection between orchestration devices will become a significant consideration, presenting challenges related to scalability and cybersecurity. Furthermore, the increasing complexity of laboratory environments will necessitate the development of more powerful and user-friendly interfaces. Graphical interfaces and natural language processing, enable users to communicate with the laboratory and coupled with advanced data analysis methods, will allow programming-averse users to leverage the features of the ChemOS 2.0 platform effectively.