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Why AI means editing is now more important than ever
It used to be easy to spot weak copy because the writing was a bit clunky and the structure was off. AI makes that harder because drafts can read perfectly well and still be wrong.
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Recent writing and commentary from Aylmer Anderson.
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It used to be easy to spot weak copy because the writing was a bit clunky and the structure was off. AI makes that harder because drafts can read perfectly well and still be wrong.
A few weeks back, we wrote that many AI writing problems are not really prompt problems. They are setup problems. That raises the next question: what does better setup look like in practice?
Most people have a pretty clear sense of what good writing looks like in their organisation. The standard exists and is maintained by experienced writers who have been applying it for years.
Not long ago, if you were writing something important, you were usually focused on getting one version right. Now, AI means the same piece turns into a collection: summary, talking points, Q&A, rewrites for different channels.
For six months, we have been using AI agents to help draft scripts and story angles for Fear & Greed (Australia’s most popular business podcast! Listen here.) We have seen some entertaining failures.
A workshop we do for our clients from time to time focuses on helping them understand how journalists make decisions on what is newsworthy and judge the relative weight they should give to the stories they run. When you read a news website or watch the evening news, it seems as though the stories are presented effortlessly in order of importance.