| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said finally [finally]" |
| | dialogueSentences | 24 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.111 | | effectiveRatio | 0.083 | |
| 85.56% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1039 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "utterly" | | 1 | "slowly" | | 2 | "slightly" |
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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) | |
| 75.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1039 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "unsettled" | | 1 | "traced" | | 2 | "perfect" | | 3 | "warmth" | | 4 | "sense of" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 41 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 41 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 56 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 68 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1047 | | 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 | 17 | | wordCount | 702 | | uniqueNames | 7 | | maxNameDensity | 0.71 | | worstName | "Danvers" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Danvers" | | discoveredNames | | Tube | 1 | | Detective | 1 | | Harlow | 1 | | Quinn | 4 | | Danvers | 5 | | Okafor | 4 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Danvers" | | 3 | "Okafor" | | 4 | "Morris" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 35 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1047 | | matches | (empty) | |
| 47.62% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 56 | | matches | | 0 | "let that sit" | | 1 | "seen that night" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 32.72 | | std | 22.79 | | cv | 0.696 | | sampleLengths | | 0 | 61 | | 1 | 47 | | 2 | 28 | | 3 | 8 | | 4 | 32 | | 5 | 56 | | 6 | 10 | | 7 | 44 | | 8 | 17 | | 9 | 14 | | 10 | 9 | | 11 | 71 | | 12 | 10 | | 13 | 3 | | 14 | 4 | | 15 | 66 | | 16 | 8 | | 17 | 14 | | 18 | 32 | | 19 | 4 | | 20 | 36 | | 21 | 41 | | 22 | 32 | | 23 | 64 | | 24 | 13 | | 25 | 58 | | 26 | 74 | | 27 | 67 | | 28 | 8 | | 29 | 52 | | 30 | 25 | | 31 | 39 |
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| 96.71% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 41 | | matches | | |
| 27.59% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 116 | | matches | | 0 | "was crawling" | | 1 | "was looking" | | 2 | "was looking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 56 | | ratio | 0.107 | | matches | | 0 | "The victim lay near the platform edge — male, mid-thirties by the look of him, expensive coat, no visible wounds that she could see from here." | | 1 | "It coated everything — the benches, the old enamel signs, the curved tile walls gone soft with grime — undisturbed except for a scatter of footprints leading to the body and the neat rectangle where he now lay." | | 2 | "The circle wasn't perfect — closer to a lopsided oval — but it was deliberate." | | 3 | "It was true — a fine white rime clung to the wool, already beginning to bead into water under the warmth of the lights, but unmistakably there." | | 4 | "The air down there had a different quality to it — thicker, somehow, though she couldn't have said why she thought so." | | 5 | "Danvers just stared at her, torch trembling slightly in his grip, and said nothing at all — which, of the two reactions, she found far more honest." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 556 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.03237410071942446 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.008992805755395683 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 56 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 56 | | mean | 18.7 | | std | 12.83 | | cv | 0.686 | | sampleLengths | | 0 | 24 | | 1 | 37 | | 2 | 23 | | 3 | 24 | | 4 | 13 | | 5 | 15 | | 6 | 8 | | 7 | 9 | | 8 | 23 | | 9 | 18 | | 10 | 26 | | 11 | 12 | | 12 | 10 | | 13 | 32 | | 14 | 12 | | 15 | 17 | | 16 | 14 | | 17 | 3 | | 18 | 6 | | 19 | 38 | | 20 | 33 | | 21 | 10 | | 22 | 3 | | 23 | 4 | | 24 | 23 | | 25 | 15 | | 26 | 28 | | 27 | 8 | | 28 | 6 | | 29 | 8 | | 30 | 32 | | 31 | 4 | | 32 | 36 | | 33 | 4 | | 34 | 37 | | 35 | 32 | | 36 | 4 | | 37 | 12 | | 38 | 27 | | 39 | 21 | | 40 | 13 | | 41 | 36 | | 42 | 22 | | 43 | 4 | | 44 | 44 | | 45 | 10 | | 46 | 16 | | 47 | 67 | | 48 | 8 | | 49 | 5 |
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| 98.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.6071428571428571 | | totalSentences | 56 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 41 | | matches | (empty) | | ratio | 0 | |
| 63.90% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 41 | | matches | | 0 | "She ducked under the police" | | 1 | "She could see it in" | | 2 | "she said, more to herself" | | 3 | "She said nothing, saving her" | | 4 | "she asked, crouching at a" | | 5 | "She was looking at the" | | 6 | "It coated everything — the" | | 7 | "She stood and walked the" | | 8 | "She let that sit, watching" | | 9 | "He leaned down, careful, and" | | 10 | "It was true — a" | | 11 | "She straightened, joints protesting, and" | | 12 | "She thought of Morris." | | 13 | "She'd promised herself, after, that" | | 14 | "She was looking at the" | | 15 | "she said finally" |
| | ratio | 0.39 | |
| 45.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 34 | | totalSentences | 41 | | matches | | 0 | "The abandoned Tube station smelled" | | 1 | "She ducked under the police" | | 2 | "Sergeant Danvers hovered at her" | | 3 | "She could see it in" | | 4 | "she said, more to herself" | | 5 | "She said nothing, saving her" | | 6 | "The platform opened up before" | | 7 | "The victim lay near the" | | 8 | "she asked, crouching at a" | | 9 | "This was Okafor, one of" | | 10 | "Danvers, behind her, sounding relieved" | | 11 | "Quinn didn't answer." | | 12 | "She was looking at the" | | 13 | "It coated everything — the" | | 14 | "She stood and walked the" | | 15 | "The circle wasn't perfect —" | | 16 | "Danvers leaned in, wrinkling his" | | 17 | "She let that sit, watching" | | 18 | "Okafor cleared his throat." | | 19 | "Quinn said, crouching again beside" |
| | ratio | 0.829 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 41 | | matches | (empty) | | ratio | 0 | |
| 18.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 4 | | matches | | 0 | "She ducked under the police tape strung across the escalator well, her torch beam cutting through dust that hung in the air like it had never been disturbed, th…" | | 1 | "The platform opened up before her, lit by portable floodlights that threw everything into a flat, merciless white." | | 2 | "No footprints crossed into it except the direct path to the body, as if whoever made the mark had known exactly where to step to avoid disturbing it." | | 3 | "Frost, in an underground station in high summer, on a dead man who showed no other sign of exposure to cold." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, more to herself than him" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 24 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0 | | effectiveRatio | 0 | |