AI Research & Writing Blog | Aurora Agent
Aurora Agent blog: practical guides, case studies, and methodology on literature reviews, paper writing, empirical analysis, and AI research workflows for researchers.
Guides and case studies
- How to Write a Literature Review That Argues Something
A weak review is rarely a writing problem. It is usually a synthesis problem, solved before any prose exists. Here is how a review actually takes shape, and which steps can be delegated to a tool while others cannot.
- The Complete Guide to the General Assistant — Treat It Like a Personal Assistant Who Actually Reads Your Materials
It is not a Q&A bot. It is more like a personal assistant who reads what you upload, finds papers for you, drafts reports, edits Word documents, sends scheduled emails, and remembers your preferences. This article walks through what it can do and how to get the best results, using real scenarios.
- How to Tell Whether an AI Actually Computed Your Numbers
Some numbers from a language model are computed. Others are generated because they look about right. The two are nearly indistinguishable on the page and completely different in a report. Here is how to tell them apart and how to make an analysis checkable.
- Why Reproducing a Paper Is So Hard - Six Things Papers Usually Leave Out
Reproduction usually stalls not because the method is difficult but because key information is missing from the paper. Here are the six most common gaps, how to judge whether a paper is worth attempting, and what to do when the numbers will not match.