A large part of any game development process consists of content creation, which costs both time and effort. Procedural generation techniques exist to help narrative generation, but they are scattered and require extensive manual labour to set up. On top of that, Serious Games content created with these techniques tend to be uninteresting and lack variety which can ultimately lead to the Serious Games missing their intended purpose. This paper delivers a prototype for a modular tool that aims to solve these problems by combining existing narrative generation techniques with common sense database knowledge and player adaptivity techniques. The prototype tool implements Ceptre as a core module for the generation of stories and ConceptNet as a commonsense knowledge database. Two studies have been conducted with content created by the tool. One study tested if generation rules created by commonsense can be used to flesh out stories, while the other one evaluated if adapted stories yield better scores. The results of the first test state that adding rules retrieved through common sense knowledge did not improve story quality, but they can however be used to extend stories without compromising story quality. It also shows that ideally, an extensive natural language processing module should be used to present the stories rather than a basic implementation. The statistically insignificant result of the second test was potentially caused by the compromises taken when conducting the test. Reconduction of this test using real game data, rather than data from the compromised personality test, might be preferable.