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You can do that interactively with LLMs. Instead of aiming for a finished product you ask a question, then refine your understanding with more questions. "So if that is true then this next statement is also true..." and the LLM will either agree or disagree. There are lines between writing as a persuasive medium, writing as a didactic medium for teaching, writing as a creative/poetic medium, writing as the process of creation of marketable products, writing as a shared summary of specialist niche knowledge, and writing as an aid to personal comprehension. Those are fundamentally different activities, They happen to use the same medium and there are some overlapping areas. But they're essentially different activities with different requirements and different processes. There's also the point that LLMs can give you explicit control over features like reading age, social register, metaphor frames/ themes/imagery, sentence structure, grammatical uniqueness, rhythmic variation, and other linguistic markers. The generic templated slop styles - rule of three, it's not this it's that, bullet points, "that's rare", strained weird or cringey similes, and the other tics - that appear all over social media are the low-skill default for AI writing. It doesn't have to be that crude or obvious, and learning how to push it beyond that is a skill in itself. As is creating knowledge engineering systems that use agents to manage knowledge in useful ways, with writing as one possible output. |
You already have this. Control over your writing is the default position.