This study proposes a system for automatically synthesizing polyimide precursor particles using a handmade dispensing device specialized for liquid handling combined with a general-purpose robotic arm (Fig. ). Inspired by the design of standard 3D printers , we have created an inexpensive and easily customizable dispensing machine. Additionally, we have coordinated a robotic arm that can move sample bottles to any location to add scalability and future expandability to synthetic experiments. Cameras continuously monitor chemical reactions. Furthermore, experimental procedures and observation results are analyzed using a multimodal language model that supports image input, automatically generating detailed experimental notes. The obtained experimental records can be used to compare different experiments and suggest experimental conditions to be conducted next. It is also possible to consider why experiments do not go well from images taken during the experiment. These preliminary results suggest the practical role of foundation models in lab automation and present a new pathway for the experimental cycle with a versatile, reproducible, and objective AI robot system.