wroiter

AI rewriter that respects your intelligence

AI detectors give you a score. Humanizers give you worse writing. WROITER gives you a prompt that fixes exactly what's wrong.

No cost. No account. No limits.

A 3AM ENERGY PROJECT

You brain-dumped a great idea to your LLM to refine it into something readable, and now it sounds like slop.

You used AI to draft an email reply (yes, you do it too) and now you wonder if it sounds like slop.

You did extensive research, handed it to AI for a rewrite, and now—guess how it sounds.

“Oh, this is AI-generated content—I'm reading all of it!”
— said no one ever

  • Rewrite manually — if you have the energy and an hour to spare
  • Use an AI detector / humanizer — watch your text get rewritten into something you didn't want
  • Ask your AI to “make it less AI” — it'll drop the most obvious lines and miss everything else
  • Use WROITER — get a revision prompt and full control of what gets revised

WROITER is not a tool to help you bypass AI detectors. It's designed & constantly refined to help you create content that people won't close the door on in 5 seconds.

Why trust WROITER

0

AI in the detector

No LLM calls, no neural network, and no probability guesses. The detector can't hallucinate because there's nothing to hallucinate with — just deterministic pattern matching that runs in your browser.

Tested against real literature, again and again

Moby-Dick, 1984, Pride and Prejudice — we run real human writing through every update and tune until the false positives drop. When the algorithm flags Melville as a machine, we fine-tune it again.

Recent algorithm updates
v1.2.1 Co-occurrence scoring. Moby Dick: 82→13
v1.1.0 Rhythmic & persona detectors. 1984: 41→9
v1.0.0 18 detectors, 5 families. HC3 calibration
Full detection engine changelog →

The most comprehensive AI pattern library on the web

Most detectors publish a word list and call it a day. We publish the entire method, the proprietary research — and constantly update the pattern library.

This is what a real revision prompt looks like.

The prompt below comes from WROITER’s built-in slop sample. The score stat underneath is not a made-up demo win — it comes from the latest frozen revision benchmark, where we rescored fresh outside drafts after one prompt-guided pass.

Revise this text using only the flagged issues below. Keep the meaning, structure, and intent:
  1. Paragraph 1 and Paragraph 3: stock phrases include "rapidly evolving landscape", "it's important to note", and "not just about software but". Replace the canned wording with the direct claim in plain language.
  2. Paragraph 1 and Paragraph 2: AI-scented vocabulary includes "pivotal", "robust", and "navigate". Replace those words with simpler or more concrete wording where the distinction matters.
  3. Paragraph 4, sentence starting "In conclusion, as we move..." uses a formulaic summary marker. Rewrite the ending so it lands on a specific detail, not a restatement.
  4. Paragraph 2 and Paragraph 3: overt sequencing markers include "first", "moreover", "second", and "finally". Remove the overt sequencing and let the paragraph order carry the structure.
  5. Paragraph 3, sentence starting "This pattern is not just..." hedges the claim with "it could be argued". Commit to the claim directly or cut the hedge.
Constraints: do not add new information, do not change the tone, and do not make the text longer.
93
Actionable mean before
0
Actionable mean after

Latest public revision benchmark: 5 of 24 fresh Polygraf AI drafts generated actionable prompts, and those drafts fell from a mean score of 93 to 0 after one pass. The other 19 drafts produced no prompt and stayed frozen unchanged.

Try it with your own text →

What shipped recently

Apr 6
Published the calibration log

The diagnostic now has a public calibration trail explaining how thresholds were tuned, what got tested, and why we interpret low scores conservatively.

Apr 5
Recalibrated the scoring

Thresholds now come from a mixed human and AI corpus, so isolated weak flags matter less and clean human prose is less likely to get over-read.

Apr 4
Opened up the method

The scoring logic, pattern library, limitations, and changelog are public now. You can check what the diagnostic is doing instead of taking it on faith.

Apr 3
Shipped the free browser diagnostic

Paste text, get a score with pattern-level breakdowns, and keep the analysis local to your browser. No account, no upload, no usage cap.

Apr 3
Published the False Positive Hall of Fame

Famous human writing that detectors still flag as AI gives the diagnostic some needed humility, and gives users evidence when broken tools overreach.

Next up: better voice control, richer research support, team workflows, and eventually API access. The method stays public, and user-facing changes go in the changelog.