| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "the voice asked finally [finally]" |
| | dialogueSentences | 44 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0.05 | | effectiveRatio | 0.045 | |
| 94.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1718 | | 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) | |
| 44.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1718 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "traced" | | 1 | "echo" | | 2 | "scanned" | | 3 | "weight" | | 4 | "glint" | | 5 | "etched" | | 6 | "familiar" | | 7 | "chill" | | 8 | "whisper" | | 9 | "electric" | | 10 | "gloom" | | 11 | "silence" | | 12 | "processed" | | 13 | "pawn" | | 14 | "pulse" | | 15 | "flickered" | | 16 | "reminder" |
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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 | 138 | | matches | (empty) | |
| 91.10% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 2 | | narrationSentences | 138 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 162 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1718 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1188 | | uniqueNames | 14 | | maxNameDensity | 1.6 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Davies" | | discoveredNames | | Camden | 1 | | Detective | 1 | | Davies | 13 | | Harlow | 19 | | Morris | 2 | | Bermondsey | 2 | | British | 1 | | Museum | 1 | | Victorian | 1 | | Veil | 1 | | Market | 1 | | Archivist | 1 | | Eva | 1 | | Kowalski | 1 |
| | persons | | 0 | "Detective" | | 1 | "Davies" | | 2 | "Harlow" | | 3 | "Morris" | | 4 | "Eva" | | 5 | "Kowalski" |
| | places | | | globalScore | 0.7 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 25.38% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.746 | | wordCount | 1718 | | matches | | 0 | "Not scratches, but deliberate, flowing script" | | 1 | "not like a lightning bolt, but like a slow, cold tide" | | 2 | "not as a ghost, but as a reminder" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 162 | | matches | | 0 | "knew that satchel" | | 1 | "make that mistake" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 30.14 | | std | 23.77 | | cv | 0.789 | | sampleLengths | | 0 | 11 | | 1 | 76 | | 2 | 15 | | 3 | 52 | | 4 | 75 | | 5 | 44 | | 6 | 68 | | 7 | 32 | | 8 | 40 | | 9 | 63 | | 10 | 9 | | 11 | 9 | | 12 | 18 | | 13 | 4 | | 14 | 92 | | 15 | 10 | | 16 | 54 | | 17 | 69 | | 18 | 32 | | 19 | 20 | | 20 | 77 | | 21 | 6 | | 22 | 36 | | 23 | 37 | | 24 | 29 | | 25 | 7 | | 26 | 64 | | 27 | 62 | | 28 | 11 | | 29 | 10 | | 30 | 46 | | 31 | 3 | | 32 | 27 | | 33 | 19 | | 34 | 23 | | 35 | 49 | | 36 | 49 | | 37 | 2 | | 38 | 11 | | 39 | 6 | | 40 | 22 | | 41 | 18 | | 42 | 8 | | 43 | 2 | | 44 | 36 | | 45 | 14 | | 46 | 30 | | 47 | 4 | | 48 | 43 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 138 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 196 | | matches | | 0 | "wasn’t pointing" | | 1 | "was pointing" | | 2 | "was watching" | | 3 | "was laughing" | | 4 | "was looking" | | 5 | "was walking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 162 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1094 | | adjectiveStacks | 1 | | stackExamples | | 0 | "stale, perfume-heavy air" |
| | adverbCount | 24 | | adverbRatio | 0.021937842778793418 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007312614259597806 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 162 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 162 | | mean | 10.6 | | std | 8.33 | | cv | 0.786 | | sampleLengths | | 0 | 11 | | 1 | 16 | | 2 | 11 | | 3 | 12 | | 4 | 14 | | 5 | 23 | | 6 | 8 | | 7 | 3 | | 8 | 4 | | 9 | 11 | | 10 | 12 | | 11 | 16 | | 12 | 13 | | 13 | 6 | | 14 | 15 | | 15 | 4 | | 16 | 6 | | 17 | 20 | | 18 | 11 | | 19 | 7 | | 20 | 6 | | 21 | 11 | | 22 | 33 | | 23 | 11 | | 24 | 4 | | 25 | 12 | | 26 | 2 | | 27 | 1 | | 28 | 2 | | 29 | 13 | | 30 | 10 | | 31 | 13 | | 32 | 4 | | 33 | 28 | | 34 | 9 | | 35 | 11 | | 36 | 13 | | 37 | 7 | | 38 | 9 | | 39 | 6 | | 40 | 11 | | 41 | 11 | | 42 | 20 | | 43 | 6 | | 44 | 9 | | 45 | 6 | | 46 | 3 | | 47 | 4 | | 48 | 14 | | 49 | 4 |
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| 53.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.37037037037037035 | | totalSentences | 162 | | uniqueOpeners | 60 | |
| 27.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 122 | | matches | | | ratio | 0.008 | |
| 98.69% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 122 | | matches | | 0 | "She didn’t touch the hand," | | 1 | "she asked, her voice flat" | | 2 | "It didn’t echo." | | 3 | "He was twenty years her" | | 4 | "He lay sprawled on the" | | 5 | "It was the wrongness of" | | 6 | "She scanned the platform." | | 7 | "Her torch beam caught the" | | 8 | "She walked along the body’s" | | 9 | "she said, though Davies hadn’t" | | 10 | "She knelt again, angling her" | | 11 | "It was a compass, small" | | 12 | "Its brass casing was verdigrised," | | 13 | "She gestured with her light" | | 14 | "It wasn’t pointing north." | | 15 | "It was pointing straight down," | | 16 | "She’d spent every day since" | | 17 | "She straightened up" | | 18 | "It wasn’t fear." | | 19 | "It was the prickle of" |
| | ratio | 0.303 | |
| 29.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 105 | | totalSentences | 122 | | matches | | 0 | "The bone token was still" | | 1 | "Harlow crouched, the worn leather" | | 2 | "She didn’t touch the hand," | | 3 | "The token was crudely carved," | | 4 | "A ticket for admission, according" | | 5 | "An admission to this damp," | | 6 | "she asked, her voice flat" | | 7 | "It didn’t echo." | | 8 | "The space swallowed sound." | | 9 | "Detective Davies stepped closer, his" | | 10 | "He was twenty years her" | | 11 | "Harlow’s gaze didn’t leave the" | | 12 | "He lay sprawled on the" | | 13 | "It was the wrongness of" | | 14 | "This wasn’t a place for" | | 15 | "This was a place for" | | 16 | "Davies continued, reading from his" | | 17 | "Harlow corrected, her eyes finally" | | 18 | "She scanned the platform." | | 19 | "The air was thick, heavy" |
| | ratio | 0.861 | |
| 40.98% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 122 | | matches | | 0 | "While they worked, Harlow stared" |
| | ratio | 0.008 | |
| 44.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 7 | | matches | | 0 | "Male, late thirties, dressed in a nondescript grey hoodie and jeans that were too new." | | 1 | "She’d seen it slung over the shoulder of a nervous young research assistant who’d brought her a file on Victorian cold cases two months ago." | | 2 | "A helpful girl with freckles who’d tucked her hair behind her left ear a dozen times in five minutes." | | 3 | "She had one number saved for emergencies that existed in the grey spaces her superiors refused to acknowledge." | | 4 | "A long silence on the other end, filled only by a faint static that sounded almost like whispering." | | 5 | "She looked back at the scene, at Davies carefully supervising the evidence collection, at the dead man who was now just an object to be processed." | | 6 | "She strode towards the stairs leading back up to the living world, her pace quickening with each step." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 5 | | matches | | 0 | "she asked, her voice flat" | | 1 | "Harlow corrected, her eyes finally lifting from the corpse" | | 2 | "Harlow stood, her joints protesting the crouch" | | 3 | "Harlow began, her gaze sweeping the corners, the ceiling, the shuttered stalls" | | 4 | "Harlow said, the name a stone in her mouth" |
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| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 4 | | fancyTags | | 0 | "Davies continued (continue)" | | 1 | "Harlow corrected (correct)" | | 2 | "she ordered (order)" | | 3 | "Harlow corrected (correct)" |
| | dialogueSentences | 44 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.364 | | effectiveRatio | 0.182 | |