Today, Aji will discuss how to use Claude to ensure language accuracy when finalizing your drafts, significantly enhancing the precision of your articles.
Regarding how to use Claude to ensure language accuracy, Aji has summarized a 2+3 model, which consists of 2 core methods and 3 key techniques.
This model is the essence distilled by Aji after helping hundreds of self-media creators complete their content reviews.
At this point, Aji can’t help but recall a friend who runs a parenting account and often worries about the accuracy of professional terms in her articles.
Once, she wrote an article about sensory training for toddlers, and although she felt it was well-written, several inaccuracies in professional terminology were pointed out by experts.
After using Aji’s methods, the quality of her article improved dramatically.
What are the two core methods?
The first core method: Set Claude’s professional identity.
When conducting language reviews, we need to assign Claude an expert identity relevant to the field.
For example, if you are writing parenting content, you can say: you are now a child psychology expert with 20 years of clinical experience; please review the accuracy of this content from a professional perspective.
Second core method: Use a cross-validation mechanism.
The specific approach is to provide the same content to two Claudes with different professional identities for review.
For instance, when writing an article on traditional Chinese medicine, you can have one Claude as a TCM expert and another as a modern medicine expert review it to check for conflicting viewpoints.
Aji has also prepared a specialized review library for core members, which includes the most suitable Claude expert profiles across various fields, from healthcare to cutting-edge technology and culture.
Next, let’s discuss the three key techniques.
The first technique: Set language red line alerts.
When inputting content, we need to clearly inform Claude of sensitive terms that need special attention.
For example: please pay special attention to whether there are any content that promotes superstition, false promises, or extreme statements, and mark them in red if found.
Interestingly, Aji used this technique during a content review last week.
At that time, while reviewing a finance article, Claude accurately pointed out several phrases that could be viewed as illegal fundraising, thus avoiding potential risks.
The second technique: Use the timeline comparison method wisely.
Place the content against different historical points for comparative review.
For example, when writing an article reviewing AI tools, you can ask: please check the accuracy of this article from the technological development levels of the end of 2023 and the present in 2024, and highlight any potentially outdated content.
The third technique: Create scene authenticity tests.
This is a trick Aji recently learned.
Let Claude simulate different types of readers to test the accuracy of the content in various scenarios.
For instance, when writing a cooking tutorial, you can say: please analyze this article from the perspectives of an experienced housewife and a beginner cook, pointing out any ambiguous expressions.
Aji suddenly recalls an interesting case regarding this technique.
Last week, a friend running a beauty account used this method to review a skincare article and found that many seemingly professional terms were particularly difficult for beginners to understand. After timely adjustments, the article’s interaction rate increased several times.
When applying these techniques, a key point is: focus on one dimension of review at a time.
Just like when we revise an essay, we first check the content, then grammar, and finally punctuation.
Breaking down each dimension for review will yield better results.
Finally, Aji would like to add a small tip discovered in practice: you can ask Claude to generate a language accuracy scoring table, scoring different dimensions of the article and explaining the reasons.
This not only allows for a clear view of the problems but also forms a reusable evaluation system.
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