| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 3 | | adverbTags | | 0 | "She could also [also]" | | 1 | "she said slowly [slowly]" | | 2 | "she said instead [instead]" |
| | dialogueSentences | 20 | | tagDensity | 0.55 | | leniency | 1 | | rawRatio | 0.273 | | effectiveRatio | 0.273 | |
| 86.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1139 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | adverb | "reluctantly" | | count | 1 |
| | 2 | |
| | highlights | | 0 | "quickly" | | 1 | "reluctantly" | | 2 | "slowly" |
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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) | |
| 82.44% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1139 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "warmth" | | 1 | "perfect" | | 2 | "standard" | | 3 | "weight" |
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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 | 38 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 38 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 47 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 64 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1145 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 898 | | uniqueNames | 12 | | maxNameDensity | 0.33 | | worstName | "Quinn" | | maxWindowNameDensity | 1 | | worstWindowName | "Ferris" | | discoveredNames | | Quinn | 3 | | Lock | 1 | | Market | 1 | | Thatcher | 1 | | July | 1 | | Eighteen | 1 | | Morris | 1 | | Ferris | 2 | | British | 1 | | Museum | 1 | | Christmas | 1 | | Underground | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Thatcher" | | 2 | "Morris" | | 3 | "Ferris" |
| | places | | 0 | "July" | | 1 | "British" | | 2 | "Christmas" |
| | globalScore | 1 | | windowScore | 1 | |
| 63.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 29 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like he hadn't slept and didn't in" |
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| 25.33% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.747 | | wordCount | 1145 | | matches | | 0 | "not spray paint, not chalk, but something" | | 1 | "not chalk, but something" |
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| 0.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 47 | | matches | | 0 | "was that body" | | 1 | "let that sit" | | 2 | "noticed that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 52.05 | | std | 35.12 | | cv | 0.675 | | sampleLengths | | 0 | 59 | | 1 | 68 | | 2 | 7 | | 3 | 46 | | 4 | 128 | | 5 | 80 | | 6 | 68 | | 7 | 13 | | 8 | 27 | | 9 | 97 | | 10 | 5 | | 11 | 19 | | 12 | 10 | | 13 | 55 | | 14 | 3 | | 15 | 94 | | 16 | 84 | | 17 | 61 | | 18 | 18 | | 19 | 99 | | 20 | 46 | | 21 | 58 |
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| 77.56% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 38 | | matches | | 0 | "been torn" | | 1 | "been made" | | 2 | "been disturbed" |
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| 34.37% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 161 | | matches | | 0 | "was only waiting" | | 1 | "was looking" | | 2 | "were willing" | | 3 | "was beginning" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 47 | | ratio | 0.064 | | matches | | 0 | "\"I can read a sign, Constable.\" She could also read the smell in the air, which was wrong in a way she didn't have a word for yet — cold and sweet and metallic all at once, like a coin held too long against the tongue." | | 1 | "Not footprints, either, though there were a few of those at the circle's edge, boot prints she recognized as standard police issue, plus the constable's, plus — there — a set that stopped abruptly six feet out and didn't resume, as though whoever made them had simply ceased to exist mid-stride." | | 2 | "She walked the circle's edge, careful not to disturb it, and found, near what would once have been the platform's yellow safety line, a symbol scratched faintly into the tile — not spray paint, not chalk, but something that had actually bitten into the surface, a spiral radiating out from a central point like a whirlpool caught mid-collapse." |
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| 87.41% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 900 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 48 | | adverbRatio | 0.05333333333333334 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.021111111111111112 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 47 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 47 | | mean | 24.36 | | std | 18.11 | | cv | 0.743 | | sampleLengths | | 0 | 21 | | 1 | 38 | | 2 | 31 | | 3 | 37 | | 4 | 7 | | 5 | 46 | | 6 | 43 | | 7 | 26 | | 8 | 2 | | 9 | 6 | | 10 | 51 | | 11 | 13 | | 12 | 38 | | 13 | 29 | | 14 | 19 | | 15 | 6 | | 16 | 22 | | 17 | 21 | | 18 | 13 | | 19 | 27 | | 20 | 3 | | 21 | 40 | | 22 | 3 | | 23 | 51 | | 24 | 5 | | 25 | 13 | | 26 | 6 | | 27 | 5 | | 28 | 5 | | 29 | 13 | | 30 | 42 | | 31 | 3 | | 32 | 9 | | 33 | 37 | | 34 | 48 | | 35 | 58 | | 36 | 26 | | 37 | 9 | | 38 | 52 | | 39 | 12 | | 40 | 6 | | 41 | 4 | | 42 | 32 | | 43 | 63 | | 44 | 8 | | 45 | 38 | | 46 | 58 |
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| 95.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.6382978723404256 | | totalSentences | 47 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 36 | | matches | (empty) | | ratio | 0 | |
| 53.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 36 | | matches | | 0 | "he said, and led her" | | 1 | "She could also read the" | | 2 | "He was younger than her" | | 3 | "He said it quickly, the" | | 4 | "She didn't answer." | | 5 | "She was looking at the" | | 6 | "He came, reluctantly, the way" | | 7 | "She pointed at the truncated" | | 8 | "She let that sit" | | 9 | "She straightened, joints protesting in" | | 10 | "She walked the circle's edge," | | 11 | "she said slowly" | | 12 | "She didn't have one." | | 13 | "she said instead" | | 14 | "She took out her phone" |
| | ratio | 0.417 | |
| 98.89% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 26 | | totalSentences | 36 | | matches | | 0 | "The call had come in" | | 1 | "Camden Lock Market was still" | | 2 | "he said, and led her" | | 3 | "the constable said, unnecessarily" | | 4 | "She could also read the" | | 5 | "The body was near the" | | 6 | "That was the first wrong" | | 7 | "A chest cavity like that" | | 8 | "He was younger than her" | | 9 | "Quinn crouched where he'd been" | | 10 | "That was the second wrong" | | 11 | "A thin rime of it" | | 12 | "He said it quickly, the" | | 13 | "She didn't answer." | | 14 | "She was looking at the" | | 15 | "He came, reluctantly, the way" | | 16 | "She pointed at the truncated" | | 17 | "She let that sit" | | 18 | "She straightened, joints protesting in" | | 19 | "She walked the circle's edge," |
| | ratio | 0.722 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 36 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 7 | | matches | | 0 | "Camden Lock Market was still and grey in the pre-dawn, the canal beside it black as oil, and the uniformed constable who'd flagged her down looked like he hadn'…" | | 1 | "Behind the door: a stairwell, and past the stairwell, a platform that hadn't seen a train in forty years, all cracked tile and dead advertisement boards for pro…" | | 2 | "A chest cavity like that should have painted the tile red for six feet in every direction, and instead there was nothing, just a clean dark absence, like the wo…" | | 3 | "She was looking at the tile instead, at the platform floor around the body, where the grime of decades had been disturbed in a wide, near-perfect circle, as if …" | | 4 | "Not footprints, either, though there were a few of those at the circle's edge, boot prints she recognized as standard police issue, plus the constable's, plus —…" | | 5 | "She walked the circle's edge, careful not to disturb it, and found, near what would once have been the platform's yellow safety line, a symbol scratched faintly…" | | 6 | "But she thought of a leather satchel and round glasses and a friend of a friend at the British Museum who'd once, at a Christmas party three years back, made an…" |
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| 34.09% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 2 | | matches | | 0 | "the constable said, unnecessarily" | | 1 | "She straightened, joints protesting in the cold" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "the man crouched (crouch)" |
| | dialogueSentences | 20 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0.167 | | effectiveRatio | 0.1 | |