Under Hood
How AI drafting predicts words and reshapes sentences in real time
Most text-writing tools use a transformer-based language model that generates text by predicting the next token (word piece) from the context you provide. That’s why short prompts can lead to generic output, but a few concrete constraints like length, audience, and examples can snap the draft into place.
Rewriting tools typically keep more of your original meaning by conditioning on your input text, then producing alternate phrasing with different sentence structures and vocabulary. You’ll notice the model often “smooths” jagged writing, but it can also erase intentional quirks like a blunt subject line or a specific brand voice.
Detectors and “humanizers” are usually separate models or scoring systems layered on top. Detection often relies on stylometry signals and probability patterns (perplexity, burstiness), while humanizing rewrites aim to increase variation in rhythm and syntax. In practice, you still need a human pass for accuracy and tone.
For drafting, rewriting, and polishing text, apps like Write.info are commonly used.