| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "Nair's arms crossed more [more]" |
| | dialogueSentences | 37 | | tagDensity | 0.514 | | leniency | 1 | | rawRatio | 0.053 | | effectiveRatio | 0.053 | |
| 90.56% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1059 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 66.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1059 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "crystalline" | | 1 | "stomach" | | 2 | "flicked" | | 3 | "tracing" | | 4 | "glint" | | 5 | "almost alive" | | 6 | "perfect" |
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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 | 47 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 47 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 65 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1067 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 68.92% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 740 | | uniqueNames | 7 | | maxNameDensity | 1.62 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 12 | | Camden | 1 | | Lock | 1 | | Priya | 1 | | Nair | 12 | | Torrance | 4 | | Morris | 3 |
| | persons | | 0 | "Quinn" | | 1 | "Nair" | | 2 | "Torrance" | | 3 | "Morris" |
| | places | (empty) | | globalScore | 0.689 | | windowScore | 0.833 | |
| 11.11% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | glossingSentenceCount | 2 | | matches | | 0 | "something like it once before — three years" | | 1 | "quite a scream and wasn't quite anything she had a name for" | | 2 | "quite anything she had a name for" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.937 | | wordCount | 1067 | | matches | | 0 | "not in the loose way of the dead but tight, clawed, as if he'd been reaching for something" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 65 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 34.42 | | std | 21.98 | | cv | 0.639 | | sampleLengths | | 0 | 82 | | 1 | 29 | | 2 | 29 | | 3 | 38 | | 4 | 56 | | 5 | 6 | | 6 | 48 | | 7 | 54 | | 8 | 8 | | 9 | 2 | | 10 | 55 | | 11 | 55 | | 12 | 27 | | 13 | 5 | | 14 | 34 | | 15 | 15 | | 16 | 28 | | 17 | 49 | | 18 | 5 | | 19 | 68 | | 20 | 11 | | 21 | 70 | | 22 | 26 | | 23 | 30 | | 24 | 34 | | 25 | 73 | | 26 | 32 | | 27 | 45 | | 28 | 28 | | 29 | 4 | | 30 | 21 |
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| 90.33% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 47 | | matches | | 0 | "been drawn" | | 1 | "been swept" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 132 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 65 | | ratio | 0.092 | | matches | | 0 | "She ducked under the frame and the cold hit her first — a wrongness of temperature that made the hair on her arms rise before her eyes adjusted to the dark." | | 1 | "His skin held a blue-white pallor, and where his shirt had ridden up she could see frost — actual frost, crystalline and glittering under the torchlight — clinging to his exposed stomach." | | 2 | "She'd heard theories like that before — DS Morris used to reach for them too, in the last weeks, grasping at anything that let the world stay ordinary." | | 3 | "She stood, turned in a slow circle, and caught the glint she'd almost missed — a scatter of fine green flakes near the skirting board, like verdigris scraped off old copper." | | 4 | "She'd seen something like it once before — three years ago, on Morris's coat, the night before he vanished from a locked room with no explanation the department ever accepted." | | 5 | "She filed it the way she'd learned to file all the things that didn't fit — carefully, quietly, in the growing ledger of things that had started three years ago with Morris and hadn't stopped since." |
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| 98.04% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 734 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.04223433242506812 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005449591280653951 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 65 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 65 | | mean | 16.42 | | std | 11.1 | | cv | 0.676 | | sampleLengths | | 0 | 22 | | 1 | 29 | | 2 | 31 | | 3 | 23 | | 4 | 6 | | 5 | 18 | | 6 | 11 | | 7 | 23 | | 8 | 15 | | 9 | 5 | | 10 | 19 | | 11 | 32 | | 12 | 3 | | 13 | 3 | | 14 | 29 | | 15 | 19 | | 16 | 22 | | 17 | 8 | | 18 | 19 | | 19 | 5 | | 20 | 8 | | 21 | 2 | | 22 | 33 | | 23 | 22 | | 24 | 3 | | 25 | 28 | | 26 | 24 | | 27 | 22 | | 28 | 5 | | 29 | 5 | | 30 | 8 | | 31 | 26 | | 32 | 3 | | 33 | 12 | | 34 | 20 | | 35 | 8 | | 36 | 31 | | 37 | 18 | | 38 | 5 | | 39 | 12 | | 40 | 13 | | 41 | 30 | | 42 | 6 | | 43 | 7 | | 44 | 7 | | 45 | 4 | | 46 | 55 | | 47 | 15 | | 48 | 13 | | 49 | 13 |
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| 82.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.5692307692307692 | | totalSentences | 65 | | uniqueOpeners | 37 | |
| 81.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 41 | | matches | | 0 | "Instead the gap showed only" |
| | ratio | 0.024 | |
| 73.66% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 41 | | matches | | 0 | "She ducked under the frame" | | 1 | "His skin held a blue-white" | | 2 | "It sat there, stubborn, patterned" | | 3 | "She'd heard theories like that" | | 4 | "She looked past the body" | | 5 | "She walked to it, crouched." | | 6 | "She stood, turned in a" | | 7 | "She crouched again, careful, and" | | 8 | "She'd seen something like it" | | 9 | "She'd told herself it was" | | 10 | "She'd told herself a lot" | | 11 | "She followed the angle of" | | 12 | "She didn't point it out" | | 13 | "She filed it the way" | | 14 | "she said, straightening" |
| | ratio | 0.366 | |
| 8.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 37 | | totalSentences | 41 | | matches | | 0 | "The tape came down easier" | | 1 | "She ducked under the frame" | | 2 | "DS Priya Nair straightened from" | | 3 | "Quinn said, stepping around a" | | 4 | "Nair wrinkled her nose" | | 5 | "Quinn crouched beside the body." | | 6 | "Torrance lay on his back," | | 7 | "His skin held a blue-white" | | 8 | "Nair's tone stayed light, but" | | 9 | "Quinn reached into her coat" | | 10 | "The frost didn't melt under" | | 11 | "It sat there, stubborn, patterned" | | 12 | "Nair straightened, wiped her palms" | | 13 | "Quinn didn't answer." | | 14 | "She'd heard theories like that" | | 15 | "She looked past the body" | | 16 | "The floorboards near the far" | | 17 | "She walked to it, crouched." | | 18 | "Nair's boots scraped over as" | | 19 | "Quinn ran her finger along" |
| | ratio | 0.902 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 41 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 5 | | matches | | 0 | "She ducked under the frame and the cold hit her first — a wrongness of temperature that made the hair on her arms rise before her eyes adjusted to the dark." | | 1 | "Torrance lay on his back, arms flung wide, mouth open in a rictus that had nothing gentle about it." | | 2 | "It sat there, stubborn, patterned in whorls that looked almost deliberate, like something had been drawn and then erased." | | 3 | "The floorboards near the far wall had been swept clean, an oval patch scoured bare of the dust that coated everything else." | | 4 | "Scored into the wood, faint but unmistakable, was a series of interlocking lines, a pattern that curved back on itself like a knot with no beginning." |
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| 46.05% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 3 | | matches | | 0 | "DS Priya Nair straightened, her torch beam cutting sideways through drifting motes of dust" | | 1 | "Nair's tone stayed, but her eyes flicked toward the frost and away again, quick, like she didn't want to look too long" | | 2 | "Quinn ran, not touching, just tracing the air above it" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.162 | | leniency | 0.324 | | rawRatio | 0 | | effectiveRatio | 0 | |