| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "She turned back [back]" |
| | dialogueSentences | 41 | | tagDensity | 0.293 | | leniency | 0.585 | | rawRatio | 0.083 | | effectiveRatio | 0.049 | |
| 95.94% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1231 | | totalAiIsmAdverbs | 1 | | 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) | |
| 79.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1231 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "weight" | | 1 | "stomach" | | 2 | "etched" | | 3 | "quivered" | | 4 | "magnetic" |
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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 | 70 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 70 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 63 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1225 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 90.55% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 841 | | uniqueNames | 7 | | maxNameDensity | 1.19 | | worstName | "Reyes" | | maxWindowNameDensity | 2 | | worstWindowName | "Reyes" | | discoveredNames | | Tube | 1 | | Detective | 1 | | Harlow | 1 | | Quinn | 7 | | Victorian | 1 | | Reyes | 10 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Reyes" | | 3 | "Morris" |
| | places | (empty) | | globalScore | 0.905 | | windowScore | 1 | |
| 95.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 1 | | matches | | |
| 36.73% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.633 | | wordCount | 1225 | | matches | | 0 | "not at any pole, but directly at the broken circle scratched into the wall" | | 1 | "No prints but" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 29.17 | | std | 24.22 | | cv | 0.83 | | sampleLengths | | 0 | 66 | | 1 | 13 | | 2 | 40 | | 3 | 30 | | 4 | 3 | | 5 | 49 | | 6 | 33 | | 7 | 3 | | 8 | 11 | | 9 | 35 | | 10 | 4 | | 11 | 7 | | 12 | 50 | | 13 | 8 | | 14 | 11 | | 15 | 63 | | 16 | 10 | | 17 | 3 | | 18 | 12 | | 19 | 36 | | 20 | 24 | | 21 | 62 | | 22 | 13 | | 23 | 57 | | 24 | 4 | | 25 | 12 | | 26 | 32 | | 27 | 98 | | 28 | 8 | | 29 | 26 | | 30 | 8 | | 31 | 59 | | 32 | 6 | | 33 | 62 | | 34 | 30 | | 35 | 50 | | 36 | 6 | | 37 | 53 | | 38 | 8 | | 39 | 74 | | 40 | 6 | | 41 | 40 |
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| 95.24% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 70 | | matches | | 0 | "been pried" | | 1 | "been disturbed" | | 2 | "been dragged" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 143 | | matches | | 0 | "was lying" | | 1 | "was watching" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 96 | | ratio | 0.052 | | matches | | 0 | "Forensics lamps threw a sickly white glow up the disused stairwell, and the smell hit her before she reached the bottom step—copper, mildew, and something sweeter beneath it that she couldn't name." | | 1 | "But three feet to his left lay a second stain—smaller, a smeared comma against the stone, and around it the gravel had been disturbed, scuffed into furrows as though something had been dragged." | | 2 | "She'd learned long ago that the scene spoke if you let it, and right now it was lying to her—or someone had arranged it to." | | 3 | "And yet it pulled at the edge of a memory she'd spent three years trying not to look at directly—a different scene, a different night, DS Morris gone from a locked room with the door still bolted from the inside, and on the floor where he'd been standing a mark scratched into the boards that no one at the station could explain." | | 4 | "Sigils, ringed around the rim, and at the centre a needle that quivered, swung, and settled—pointing not at any pole, but directly at the broken circle scratched into the wall." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 848 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.020047169811320754 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.008254716981132075 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 12.76 | | std | 10.7 | | cv | 0.839 | | sampleLengths | | 0 | 28 | | 1 | 6 | | 2 | 32 | | 3 | 9 | | 4 | 4 | | 5 | 8 | | 6 | 10 | | 7 | 22 | | 8 | 11 | | 9 | 19 | | 10 | 3 | | 11 | 21 | | 12 | 28 | | 13 | 10 | | 14 | 23 | | 15 | 3 | | 16 | 11 | | 17 | 4 | | 18 | 12 | | 19 | 19 | | 20 | 4 | | 21 | 7 | | 22 | 23 | | 23 | 27 | | 24 | 4 | | 25 | 4 | | 26 | 7 | | 27 | 4 | | 28 | 13 | | 29 | 3 | | 30 | 14 | | 31 | 33 | | 32 | 6 | | 33 | 4 | | 34 | 3 | | 35 | 8 | | 36 | 4 | | 37 | 5 | | 38 | 6 | | 39 | 25 | | 40 | 6 | | 41 | 18 | | 42 | 3 | | 43 | 25 | | 44 | 12 | | 45 | 2 | | 46 | 2 | | 47 | 18 | | 48 | 13 | | 49 | 4 |
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| 84.03% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.5416666666666666 | | totalSentences | 96 | | uniqueOpeners | 52 | |
| 52.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 63 | | matches | | 0 | "Even her own and Reyes's" |
| | ratio | 0.016 | |
| 93.02% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 63 | | matches | | 0 | "She pulled a pair of" | | 1 | "She studied the body." | | 2 | "His skull had split above" | | 3 | "She rose and walked the" | | 4 | "He dragged the tripod over," | | 5 | "She leaned in." | | 6 | "She glanced up" | | 7 | "She'd learned long ago that" | | 8 | "She stood and let her" | | 9 | "She crossed to it." | | 10 | "He came over, squinting." | | 11 | "She touched the edge of" | | 12 | "They'd filed it under vandalism." | | 13 | "They'd filed the whole thing" | | 14 | "She turned back to the" | | 15 | "She crouched once more and" | | 16 | "His trouser pocket bulged." | | 17 | "She slid two fingers inside" | | 18 | "She bagged the compass, sealed" | | 19 | "She straightened, knees protesting, and" |
| | ratio | 0.317 | |
| 47.30% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 63 | | matches | | 0 | "Rain slicked the cobblestones outside" | | 1 | "The wood had been pried" | | 2 | "Forensics lamps threw a sickly" | | 3 | "Quinn descended, one hand on" | | 4 | "The tiles were Victorian, cream" | | 5 | "DC Reyes met her with" | | 6 | "Reyes flipped a page" | | 7 | "Quinn crouched at the edge" | | 8 | "She pulled a pair of" | | 9 | "She studied the body." | | 10 | "The man wore a good" | | 11 | "His skull had split above" | | 12 | "She rose and walked the" | | 13 | "Reyes shifted his weight." | | 14 | "Quinn knelt by the tracks" | | 15 | "He dragged the tripod over," | | 16 | "She leaned in." | | 17 | "The blood beneath the man's" | | 18 | "She glanced up" | | 19 | "Reyes crouched beside her, frowning." |
| | ratio | 0.825 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 99.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 2 | | matches | | 0 | "But three feet to his left lay a second stain—smaller, a smeared comma against the stone, and around it the gravel had been disturbed, scuffed into furrows as t…" | | 1 | "A small brass compass, the casing green with verdigris, its face etched with markings that weren't north and south." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.024 | | leniency | 0.049 | | rawRatio | 0 | | effectiveRatio | 0 | |