Why does the same AI humanizer give different results on different runs of the same text?
I ran the same paragraph through the same tool twice without changing any settings and got noticeably different output both times, with different detection scores afterward. Is this just inherent randomness in how these tools generate output, or is there a consistency setting I’m missing?
This is expected and it’s because most humanizers run on a language model with some randomness (temperature) built into generation. Unless the tool offers a deterministic or seed setting, you’ll get variation between runs by design.
The practical implication: if you get a result you don’t like, running it again sometimes gives you a meaningfully better one. It’s worth a second attempt before concluding the tool just doesn’t work on your text.
Some tools do have an intensity or consistency setting buried in advanced options. Worth checking if yours has one, lower settings tend to produce more consistent (if less aggressive) output across runs. Walter Writes has one of these tucked into its advanced settings, easy to miss on first use.
The variation in detection score afterward makes sense too, since the underlying text changed between runs, the statistical properties a detector measures changed along with it. Not a flaw exactly, just an expected downstream effect of non-deterministic generation.
Worth running the same piece 2-3 times and picking the best result if your tool allows unlimited free runs. Treating any single run as the definitive output undersells how much variance exists.