In a previous blog post, we focused on input file handling in leading GenAI interfaces, mapping out which formats could be uploaded and processed reliably, and where the main limitations were. This time, we turn to the other side of the equation—output generation—with a concrete test case: producing
In a previous blog, we examined the file handling capabilities of leading GenAI interfaces. That analysis detailed which formats they could process reliably and where they encountered difficulties—particularly with structured data and technical file types. Since then, the landscape has shifted. While downloadable file generation still faces notable constraints,
In our previous blog post, we examined how useful publicly available Custom GPTs are for academic tasks. While many showed promise, especially for brainstorming or outlining, they often fell short in areas where accuracy, source verification, and methodological transparency are crucial. In short: if your work demands high standards of
As ChatGPT is increasingly used in academic research, understanding how to manage privacy, control data usage, and make informed choices about sharing outputs has become essential. While our previous blog post focused on configuring the ChatGPT interface—through settings such as personalisation, memory, and model selection—this follow-up explores tools
As GenAI tools become increasingly embedded in academic workflows, researchers seek ways to tailor these systems to their specific needs. OpenAI’s ChatGPT interface offers a number of personalisation options and privacy-focused features that can significantly enhance research efficiency, consistency, and ethical compliance. This blog post introduces the key settings
