| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 73.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1701 | | totalAiIsmAdverbs | 9 | | found | | | highlights | | 0 | "gently" | | 1 | "slowly" | | 2 | "sharply" | | 3 | "slightly" | | 4 | "perfectly" | | 5 | "very" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 67.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1701 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "silence" | | 1 | "throb" | | 2 | "pulsed" | | 3 | "throbbed" | | 4 | "warmth" | | 5 | "shimmered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 121 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 121 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 128 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 68 | | ratio | 0 | | matches | (empty) | |
| 93.69% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 12 | | markdownWords | 91 | | totalWords | 1712 | | ratio | 0.053 | | matches | | 0 | "do not cross alone after dark." | | 1 | "In the grove." | | 2 | "stay where you are" | | 3 | "fallen branch" | | 4 | "folded coat" | | 5 | "deer" | | 6 | "The stone knows Hel. That is its one gift. When it burns, you are near a door, and you should not be." | | 7 | "seven old men standing in a circle, and one of them's drunk" | | 8 | "right, always the drunk one's on the right." | | 9 | "At" | | 10 | "the ring didn't grow a stone. The ring grew a gap and something filled it, and now it's standing in the circle pretending it belongs there." | | 11 | "where are you going?" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 1628 | | uniqueNames | 12 | | maxNameDensity | 0.86 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Grove | 3 | | Richmond | 1 | | Park | 1 | | October | 1 | | Isolde | 6 | | Rory | 14 | | Eva | 9 | | Heartstone | 4 | | Louder | 2 | | Yu-Fei | 1 | | Hel | 1 | | Evan | 1 |
| | persons | | 0 | "Isolde" | | 1 | "Rory" | | 2 | "Eva" | | 3 | "Heartstone" | | 4 | "Yu-Fei" | | 5 | "Evan" |
| | places | | 0 | "Grove" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "October" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.584 | | wordCount | 1712 | | matches | | 0 | "not, could not make her memory produce anything but an impression of *right, always the drunk one's on the right" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 128 | | matches | | 0 | "knew that feeling" | | 1 | "see that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 38.91 | | std | 31.02 | | cv | 0.797 | | sampleLengths | | 0 | 76 | | 1 | 12 | | 2 | 108 | | 3 | 3 | | 4 | 31 | | 5 | 15 | | 6 | 76 | | 7 | 78 | | 8 | 7 | | 9 | 72 | | 10 | 15 | | 11 | 45 | | 12 | 19 | | 13 | 53 | | 14 | 4 | | 15 | 91 | | 16 | 3 | | 17 | 12 | | 18 | 1 | | 19 | 14 | | 20 | 39 | | 21 | 42 | | 22 | 40 | | 23 | 1 | | 24 | 91 | | 25 | 4 | | 26 | 71 | | 27 | 27 | | 28 | 44 | | 29 | 4 | | 30 | 72 | | 31 | 42 | | 32 | 78 | | 33 | 63 | | 34 | 6 | | 35 | 10 | | 36 | 28 | | 37 | 9 | | 38 | 68 | | 39 | 22 | | 40 | 39 | | 41 | 59 | | 42 | 98 | | 43 | 20 |
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| 99.46% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 121 | | matches | | 0 | "was gone" | | 1 | "being carried" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 271 | | matches | | 0 | "was trying" | | 1 | "was shaking" | | 2 | "was screaming" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 1 | | flaggedSentences | 11 | | totalSentences | 128 | | ratio | 0.086 | | matches | | 0 | "Not quiet — quiet had texture, quiet had owls and the distant complaint of traffic along the A3 and the breathing of a city that never properly slept." | | 1 | "Wildflowers nodded in a breeze she couldn't feel — clover and cornflower and something with fat purple heads she couldn't name, blooming in a Richmond Park October like it was midsummer." | | 2 | "Not warm like a coin left in the sun — warm like a hand, warm in patches, a faint throb of heat against her skin that she was trying not to think about as a rhythm." | | 3 | "It was a new sound arriving — a low wet noise from somewhere behind and to her left, like a mouth closing slowly on something soft." | | 4 | "The hollow lay ahead — she could see the shape of it now, the grass bending in that odd circle where the ground dipped." | | 5 | "No — not empty." | | 6 | "She was good at level; it was the first thing she'd learned, that if you keep the voice level, the rest of you can follow." | | 7 | "Not throbbed — pulsed, once, sharply, like a lamp surging, and the warmth of it flared against her breastbone and then died to a dull ember." | | 8 | "Then a second giggle, close — so close it should have been at her shoulder — and then a third, far away and fading, as though the sound were being carried off through the trees by something running." | | 9 | "That was what Isolde had always said — *seven old men standing in a circle, and one of them's drunk*, because the seventh leaned." | | 10 | "She thought of Evan, too — thought of him with no particular reason, except that she'd learned the shape of a thing that stands in the doorway of your life and smiles and says *where are you going?* She'd learned to recognise it by its stillness first, before anything else." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1619 | | adjectiveStacks | 1 | | stackExamples | | 0 | "hollow lay ahead — she" |
| | adverbCount | 56 | | adverbRatio | 0.034589252625077206 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.009882643607164917 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 128 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 128 | | mean | 13.38 | | std | 12.13 | | cv | 0.907 | | sampleLengths | | 0 | 28 | | 1 | 28 | | 2 | 20 | | 3 | 10 | | 4 | 2 | | 5 | 15 | | 6 | 31 | | 7 | 7 | | 8 | 28 | | 9 | 27 | | 10 | 3 | | 11 | 31 | | 12 | 3 | | 13 | 12 | | 14 | 10 | | 15 | 36 | | 16 | 9 | | 17 | 10 | | 18 | 11 | | 19 | 6 | | 20 | 29 | | 21 | 10 | | 22 | 33 | | 23 | 7 | | 24 | 4 | | 25 | 26 | | 26 | 2 | | 27 | 12 | | 28 | 4 | | 29 | 24 | | 30 | 4 | | 31 | 4 | | 32 | 7 | | 33 | 3 | | 34 | 10 | | 35 | 4 | | 36 | 28 | | 37 | 5 | | 38 | 6 | | 39 | 8 | | 40 | 5 | | 41 | 24 | | 42 | 11 | | 43 | 4 | | 44 | 9 | | 45 | 4 | | 46 | 3 | | 47 | 4 | | 48 | 4 | | 49 | 5 |
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| 39.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.3125 | | totalSentences | 128 | | uniqueOpeners | 40 | |
| 89.29% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 112 | | matches | | 0 | "Then she'd come anyway, because" | | 1 | "Then a second giggle, close" | | 2 | "Slowly, with the grinding patience" |
| | ratio | 0.027 | |
| 84.29% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 112 | | matches | | 0 | "She stood still and waited" | | 1 | "She'd read about that in" | | 2 | "Her voice came out flat" | | 3 | "It had been cool when" | | 4 | "It had been cool all" | | 5 | "It had gone warm the" | | 6 | "She walked out into the" | | 7 | "It wasn't sound returning." | | 8 | "It was a new sound" | | 9 | "It took her three seconds" | | 10 | "It had been two notes." | | 11 | "She started walking again, faster." | | 12 | "Her phone buzzed against her" | | 13 | "She fumbled the passcode twice" | | 14 | "She raised the torch and" | | 15 | "It was pale, but pale" | | 16 | "It wasn't moving." | | 17 | "She lowered the torch." | | 18 | "She took one step back" | | 19 | "It sounded pleased." |
| | ratio | 0.339 | |
| 89.46% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 83 | | totalSentences | 112 | | matches | | 0 | "Rory ducked between the standing" | | 1 | "This was silence with the" | | 2 | "She stood still and waited" | | 3 | "The Grove opened out ahead" | | 4 | "Wildflowers nodded in a breeze" | | 5 | "She'd read about that in" | | 6 | "The notes had also said," | | 7 | "The photograph was a smear" | | 8 | "Her voice came out flat" | | 9 | "The Heartstone hung against her" | | 10 | "It had been cool when" | | 11 | "It had been cool all" | | 12 | "It had gone warm the" | | 13 | "She walked out into the" | | 14 | "The oaks stood in their" | | 15 | "That was where Eva would" | | 16 | "Rory kept the torch moving" | | 17 | "It wasn't sound returning." | | 18 | "It was a new sound" | | 19 | "The torch beam jittered across" |
| | ratio | 0.741 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 112 | | matches | (empty) | | ratio | 0 | |
| 92.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 4 | | matches | | 0 | "Rory ducked between the standing stones at 11:40, phone torch cutting a weak yellow seam through the dark, and the first thing that struck her was the silence." | | 1 | "Rory kept the torch moving in slow sweeps and counted the wildflowers without meaning to, some reflex of a mind that wanted to be doing something other than lis…" | | 2 | "She thought of Evan, too — thought of him with no particular reason, except that she'd learned the shape of a thing that stands in the doorway of your life and …" | | 3 | "Slowly, with the grinding patience of something that had waited a very long time and could wait longer." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "Rory said, and her voice was not level after all" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0 | | effectiveRatio | 0 | |