Guides, comparisons, and tips on writing better with AI.
The concerns people raise about AI writing help are usually more thoughtful than the online arguments suggest. Here's a plain-spoken look at five of the most common ones, and where each one actually holds up.
Read more →You don't need software to sense that something's off with a piece of writing. Here's what regular readers notice — no technical background required.
Read more →Not everything touched by software counts as AI-made. Here's a clear way to sort AI-generated content from AI-assisted work, across text, images, audio, and video.
Read more →Perplexity, burstiness, pattern analysis, watermarking — the four methods AI detectors actually use, explained in plain English, along with why the resulting score is a guess and not a verdict.
Read more →From 1950s dictionary lookups to today's language models, here's how computers slowly learned to read, translate, and respond to the messy, rule-breaking way people actually talk.
Read more →Flesch-Kincaid and similar scores aren't a judgment on your intelligence — they're a rough estimate of how much effort your sentences ask of a reader. Here's how the number is calculated and how to aim it at the right target.
Read more →Most writing doesn't get abandoned because the ideas are bad — it gets abandoned because the page looks like a chore. Here's how to fix the layout instead of the sentences.
Read more →A paragraph can hand off perfectly from one sentence to the next and still fail to say anything. Here's how to tell the difference between sentences that link and a paragraph that actually holds together — and how to test for the one that matters more.
Read more →Most people read the words and lose the meaning by the next day. Here's a three-stage approach — before, during, and after — built around specific moves you can actually remember to use.
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