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The paper briefly outlines the operation of community clubs, a method of organising collaborative research which has proved effective within the UK government's Alvey programme, and focuses on one of the projects organised by the DAPES (the Data Processing Expert Systems) club: namely an expert system for localising a fault within a network of data communications equipment. Coming from a DP background, club members were particularly interested in methodical approaches to the implementation, maintenance and documentation of expert systems. They chose to construct an intermediate representation based on the KADS methodology (which is briefly described), which was then used as the basis of two parallel implementations.The paper concentrates on the description one of these implementations, which used a specialised AI toolkit (Inference ART). It describes the performance of the final system and the way it is constructed. It also comments on the performance offered by the toolkit, and compares the system with a second implementation carded out in parallel using a PC-based shell.