how to humanize ai text - what methods are people actually using?
curious about the range. dedicated tool, manual edit, prompting the ai itself differently, some combination. what’s the actual workflow people have landed on.
combination is the answer most people land on. tool for the bulk statistical work, manual edit for the opening and any sections where meaning is precise. treating it as fully automatic is where people get burned.
the prompting approach works better than people give it credit for if you’re specific. feeding the AI examples of your own previous writing before generating produces a less detectable starting point before you’ve touched any humanizer.
pure manual editing is underrated. vary sentence length, kill the transition words, add one specific detail per section, rewrite the opening. costs nothing and works reliably.
my current workflow: generate, run through Walter Writes, read aloud for anything still stiff, fix manually. that three-step process handles most content reliably without spending a lot of time per piece.
worth separating what you’re optimizing for. if the goal is lower detection score, tool plus light manual edit. if the goal is actually sounding like a person wrote it, the manual pass is where that actually happens.