Given the task definition and input, reply with output. Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. What may (or may not) happen before (or after, or during) an event? C. What may (or may not) be a plausible fact about someone (or something)? D. What may (or may not) happen if an event happens (or did not happen)? You can also create other types of questions. DO NOT make your question answerable without looking at the context, or question of which the correct answer can be directly extracted from the context. DO NOT ask a question that requires very specialized knowledge that is not common sense. DO NOT ask too simple or too short questions. Your question must be related to the context and answerable with common sense. Try to add more variations and complexity to the questions.

Context: Hi Guys , I ' ve built an awsome AJAX custom http handler which through reflection automatically prototypes classes to javascript objects and creates javascript methods which match the server side method taged with my custom attributes . The model allows you to pass object from both server to client and client to server . It handles all the serialisation and has cut my development time of an AJAX heavy web application in half . The only thing left to do in polishing the model is to finish error handling .

Where might the custom http handler be used most often ?