| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn said quietly [quietly]" |
| | dialogueSentences | 31 | | tagDensity | 0.516 | | leniency | 1 | | rawRatio | 0.063 | | effectiveRatio | 0.063 | |
| 88.16% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1267 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "quickly" | | 1 | "gently" | | 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) | |
| 84.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1267 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "satin" | | 1 | "electric" | | 2 | "flicked" | | 3 | "calculating" |
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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 | 79 | | matches | (empty) | |
| 70.52% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 79 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 60 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1269 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 80.18% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 931 | | uniqueNames | 12 | | maxNameDensity | 1.4 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 13 | | Tube | 1 | | Camden | 1 | | Ferris | 8 | | Morris | 2 | | Egyptian | 1 | | Uniform | 1 | | Oxford | 1 | | Eva | 2 | | Kowalski | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Ferris" | | 3 | "Morris" | | 4 | "Uniform" | | 5 | "Eva" | | 6 | "Kowalski" |
| | places | | | globalScore | 0.802 | | windowScore | 0.833 | |
| 98.98% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 1 | | matches | | 0 | "quite water, and Detective Harlow Quinn descended them with her torch held low, counting each stair out of old habit" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1269 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 39.66 | | std | 25.63 | | cv | 0.646 | | sampleLengths | | 0 | 74 | | 1 | 54 | | 2 | 62 | | 3 | 48 | | 4 | 4 | | 5 | 41 | | 6 | 63 | | 7 | 5 | | 8 | 8 | | 9 | 43 | | 10 | 37 | | 11 | 56 | | 12 | 37 | | 13 | 14 | | 14 | 47 | | 15 | 88 | | 16 | 64 | | 17 | 10 | | 18 | 58 | | 19 | 30 | | 20 | 2 | | 21 | 7 | | 22 | 91 | | 23 | 27 | | 24 | 55 | | 25 | 8 | | 26 | 37 | | 27 | 20 | | 28 | 86 | | 29 | 47 | | 30 | 31 | | 31 | 15 |
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| 91.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 79 | | matches | | 0 | "was undone" | | 1 | "was incised" | | 2 | "was scuffed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 159 | | matches | (empty) | |
| 50.69% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 93 | | ratio | 0.032 | | matches | | 0 | "She took a pen from her coat and eased the fingers apart — they moved too easily, confirming what she'd said — and lifted the object free on the pen's tip." | | 1 | "\"After he died. Small feet. Walked in from the service passage, stood there—\" she stopped at a point beside the body where the dust was scuffed in a tight half-circle, as if someone had knelt—\"and then walked out the same way. Calm. In the dark. No torch marks on the walls, no scattered dust from a beam catching cobwebs.\"" | | 2 | "The worn leather strap sat snug on her wrist; the second hand had stopped." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 847 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 33 | | adverbRatio | 0.03896103896103896 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.008264462809917356 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 13.65 | | std | 11 | | cv | 0.806 | | sampleLengths | | 0 | 33 | | 1 | 1 | | 2 | 14 | | 3 | 26 | | 4 | 8 | | 5 | 27 | | 6 | 19 | | 7 | 18 | | 8 | 22 | | 9 | 19 | | 10 | 3 | | 11 | 16 | | 12 | 2 | | 13 | 6 | | 14 | 15 | | 15 | 9 | | 16 | 4 | | 17 | 17 | | 18 | 24 | | 19 | 3 | | 20 | 31 | | 21 | 4 | | 22 | 4 | | 23 | 9 | | 24 | 12 | | 25 | 5 | | 26 | 8 | | 27 | 5 | | 28 | 38 | | 29 | 25 | | 30 | 12 | | 31 | 3 | | 32 | 16 | | 33 | 2 | | 34 | 4 | | 35 | 31 | | 36 | 2 | | 37 | 12 | | 38 | 23 | | 39 | 4 | | 40 | 10 | | 41 | 3 | | 42 | 22 | | 43 | 12 | | 44 | 10 | | 45 | 7 | | 46 | 13 | | 47 | 15 | | 48 | 6 | | 49 | 29 |
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| 89.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.5806451612903226 | | totalSentences | 93 | | uniqueOpeners | 54 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 64 | | matches | | 0 | "Then the smell: copper, mildew," | | 1 | "Then the body." | | 2 | "Too smooth, too curved." | | 3 | "Somewhere far down the passage," | | 4 | "Then she took the evidence" |
| | ratio | 0.078 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 64 | | matches | | 0 | "Her boots rang on the" | | 1 | "He stood at the edge" | | 2 | "His eyes were open and" | | 3 | "She played the torch over" | | 4 | "She took a pen from" | | 5 | "She bagged it and held" | | 6 | "She put it away before" | | 7 | "She stood and walked the" | | 8 | "she stopped at a point" | | 9 | "She stopped herself" | | 10 | "She'd been about to say" | | 11 | "She stood at the tunnel" | | 12 | "She checked her watch out" | | 13 | "She tapped the face." | | 14 | "It shuddered and resumed, five" | | 15 | "She looked at the body," | | 16 | "Her voice dropped" | | 17 | "She thought of Morris, three" | | 18 | "She looked at Eva Kowalski" |
| | ratio | 0.297 | |
| 92.81% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 64 | | matches | | 0 | "The steps down into the" | | 1 | "The same as every dead" | | 2 | "Her boots rang on the" | | 3 | "He stood at the edge" | | 4 | "Quinn stepped past him and" | | 5 | "A man, mid-forties, spread near" | | 6 | "His eyes were open and" | | 7 | "People who died in abandoned" | | 8 | "Quinn asked, crouching" | | 9 | "Quinn didn't answer." | | 10 | "She played the torch over" | | 11 | "Light first, touch never." | | 12 | "The coat was undone." | | 13 | "The shirt beneath it was" | | 14 | "Quinn said quietly" | | 15 | "Ferris made the small dismissive" | | 16 | "Quinn leaned closer." | | 17 | "She took a pen from" | | 18 | "Something was incised into it," | | 19 | "She bagged it and held" |
| | ratio | 0.734 | |
| 78.13% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 64 | | matches | | 0 | "Whoever it was had come" |
| | ratio | 0.016 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 7 | | matches | | 0 | "The steps down into the abandoned station were slick with something that wasn't quite water, and Detective Harlow Quinn descended them with her torch held low, …" | | 1 | "He stood at the edge of the platform with his hands in his coat pockets, looking like a man who'd already written his report in his head." | | 2 | "First the geography: a station that hadn't seen a train since the seventies, tiles weeping damp, posters bleached to ghosts of themselves." | | 3 | "Mixed through with something darker, something that smelled of that burned sage." | | 4 | "The herbal smell was stronger here, and under it, something electric, the taste of a storm that hadn't happened." | | 5 | "The woman who came down after her was small, curly red hair escaping its pins, round glasses fogged from the cold, a battered leather satchel clutched to her ch…" | | 6 | "She thought of Morris, three years dead, found in a locked room with no wounds and that same impossible calm on his face, and a coroner's verdict that had never…" |
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| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | 0 | "she stopped, as if someone had knelt—" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 31 | | tagDensity | 0.29 | | leniency | 0.581 | | rawRatio | 0 | | effectiveRatio | 0 | |