TEXT SURFACE · writing.doloop.io

Tired of writing AI slop?
Your LLM has stoolworms.

A resistance machine for anything your AI writes. It runs two deterministic checks, which we call donkeys, that read what your AI wrote, find the exact lines that give it away, and refuse to pass the text until it reads clean. They never rewrite for you. They tell you what is wrong, the same way every time.

Meet the donkeys → See it work

What it catches

AI text has three diseases a reader feels even when they cannot name them. This surface names them and points at the exact line.

SLOP

The tells

Flat sentences that all run the same length. Power words doing the work evidence should do. Openers that clear the throat before the point. Hedges that refuse to commit. The reader cannot say why, but it feels machine made.

STOOLWORM

The text managing itself

The prose turns to point at its own parts ("that is the map") or count its own list ("the second point is"). It aims the reader's eye ("notice the shape of it") or names itself ("this section argues"). The reader notices the pointing more than the point. Coined by Gaurav Rastogi, 2026.

JARGON

Knowable only to insiders

Words the writer understands and a newcomer does not. Terms used before they are defined. All we-and-our and no you. Copy written to the people who made it, not the person reading it.

The writing donkey

A donkey is one deterministic check. The writing donkey bundles several. Give it the same text and you get the same verdict back.

• CADENCE & SLOP

The tells that read as machine made

Flat cadence, escalation words, throat-clearing openers, hedge density: the prose that reads as machine made. Scored on four named dimensions of voice. Pure rules, no model.

• STOOLWORM & JARGON

Text managing itself, and insider talk

The six forms of the stoolworm (prose that points at, grades, and announces itself), plus jargon a newcomer cannot follow. Fixed rules, plus a cheap reader that checks whether an outsider understands. Every term it learns becomes a rule for next time.

See it work

The writing donkey run on a paragraph stuffed with stoolworms. Every line it flags is a place the prose stopped delivering and started managing the reader. Run it on your own text in the playground →

$ check  "In this essay, we lay out the argument. That is the map.
          The second position is the one that matters most. Notice the
          shape of it. So the fact can be conceded. The honest word is
          compromise. Having established that, let me now turn to the cure."

  verdict: FAIL      stoolworms: 6      inward: 100%

  "In this essay"                names the container          self-reference
  "That is the map"              points at its own parts      self-pointing
  "The second position is"       counts its own list          enumeration
  "Notice the shape of it"       aims the reader's eye         reader-gaze
  "So the fact can be conceded"  announces its own move        move-announce
  "The honest word is"           grades its own diction        diction-grading

  cure: open inside the substance, hand off through the material,
        trust the reader to feel the shape without being told.

Same paragraph in, the same six findings out, every time.

Two ways to use it

Call a donkey on its own, or run it inside the doloop machine (our hosted service), which keeps your prior verdicts and the rules learned from them. Same checks either way. The difference is whether the run carries state.

CALL IT DIRECTLY

The donkey, standalone

Send a block of text, get the findings back. Nothing to set up, nothing kept between calls. The fast, free way to check one piece of writing.

• INSIDE DOLOOP

Stateful and remembered

Connect your own AI to the doloop machine in writing mode and the donkeys run on each draft, billed by the loop (one judged piece of work). Your AI drafts, the donkeys judge, your AI fixes the exact lines, and only clean copy ships. State carries across runs: every rule it learns becomes your house style, owned by you.

Want this on your writing pipeline? Talk to us, or see the other surfaces.