| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.28% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1489 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 42.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1489 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "pumping" | | 1 | "measured" | | 2 | "echoed" | | 3 | "shimmered" | | 4 | "eyebrow" | | 5 | "standard" | | 6 | "silence" | | 7 | "traced" | | 8 | "etched" | | 9 | "etching" | | 10 | "database" |
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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 | 105 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 105 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 141 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1476 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 1 | | matches | | 0 | "Marcus Webb, banker, Kensington address." |
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| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1025 | | uniqueNames | 12 | | maxNameDensity | 1.27 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Thames | 2 | | Harlow | 1 | | Quinn | 13 | | Lestrade | 2 | | Jenner | 1 | | Victorian | 1 | | Morris | 3 | | October | 1 | | Mercer | 11 | | Whitechapel | 1 | | Webb | 1 | | Kensington | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Jenner" | | 3 | "Morris" | | 4 | "Mercer" | | 5 | "Webb" |
| | places | | 0 | "Thames" | | 1 | "October" | | 2 | "Whitechapel" | | 3 | "Kensington" |
| | globalScore | 0.866 | | windowScore | 0.833 | |
| 76.47% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like he hadn't slept in a week" | | 1 | "ways that seemed to shift the longer she looked at it" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.678 | | wordCount | 1476 | | matches | | 0 | "Not unusual for a stone building by the river in October, but this cold had teeth" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 141 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 72 | | mean | 20.5 | | std | 14.63 | | cv | 0.714 | | sampleLengths | | 0 | 54 | | 1 | 9 | | 2 | 37 | | 3 | 4 | | 4 | 29 | | 5 | 56 | | 6 | 2 | | 7 | 7 | | 8 | 39 | | 9 | 37 | | 10 | 36 | | 11 | 7 | | 12 | 24 | | 13 | 47 | | 14 | 1 | | 15 | 36 | | 16 | 1 | | 17 | 21 | | 18 | 30 | | 19 | 4 | | 20 | 28 | | 21 | 25 | | 22 | 4 | | 23 | 22 | | 24 | 38 | | 25 | 45 | | 26 | 8 | | 27 | 9 | | 28 | 39 | | 29 | 16 | | 30 | 37 | | 31 | 9 | | 32 | 24 | | 33 | 37 | | 34 | 8 | | 35 | 7 | | 36 | 7 | | 37 | 5 | | 38 | 21 | | 39 | 26 | | 40 | 9 | | 41 | 3 | | 42 | 15 | | 43 | 29 | | 44 | 38 | | 45 | 10 | | 46 | 37 | | 47 | 6 | | 48 | 37 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 105 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 189 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 1 | | flaggedSentences | 9 | | totalSentences | 141 | | ratio | 0.064 | | matches | | 0 | "The river's stench mingled with something else tonight—copper and ozone, a combination that set her teeth on edge." | | 1 | "Mercer had made his opinion of her clear after the Morris investigation—too many questions, not enough answers, and a stubborn refusal to close a case that everyone else wanted buried." | | 2 | "He could have been sleeping, save for the wrongness in his posture—limbs bent at angles that suggested he'd collapsed rather than lay down." | | 3 | "The man's face held an expression she'd seen before—not peace, not pain." | | 4 | "The pipework here was different—older, the metal discolored in ways that had nothing to do with rust." | | 5 | "His posture said dismissal; his presence said something else entirely." | | 6 | "The lines were faint, but the shape was unmistakable—curved in ways that seemed to shift the longer she looked at it." | | 7 | "In a basement in Whitechapel, where Morris had—" | | 8 | "It spun, lazy and unhurried, before settling on a direction that made no sense—toward the wall with the symbol, the wall that should have been solid brick." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1036 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.029922779922779922 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007722007722007722 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 141 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 141 | | mean | 10.47 | | std | 7.61 | | cv | 0.727 | | sampleLengths | | 0 | 15 | | 1 | 21 | | 2 | 18 | | 3 | 9 | | 4 | 18 | | 5 | 5 | | 6 | 14 | | 7 | 4 | | 8 | 29 | | 9 | 4 | | 10 | 18 | | 11 | 2 | | 12 | 2 | | 13 | 21 | | 14 | 9 | | 15 | 2 | | 16 | 7 | | 17 | 4 | | 18 | 5 | | 19 | 30 | | 20 | 8 | | 21 | 16 | | 22 | 13 | | 23 | 10 | | 24 | 8 | | 25 | 18 | | 26 | 7 | | 27 | 5 | | 28 | 11 | | 29 | 8 | | 30 | 16 | | 31 | 3 | | 32 | 3 | | 33 | 2 | | 34 | 23 | | 35 | 1 | | 36 | 6 | | 37 | 15 | | 38 | 15 | | 39 | 1 | | 40 | 21 | | 41 | 5 | | 42 | 12 | | 43 | 1 | | 44 | 12 | | 45 | 4 | | 46 | 28 | | 47 | 5 | | 48 | 1 | | 49 | 1 |
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| 73.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.44680851063829785 | | totalSentences | 141 | | uniqueOpeners | 63 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 93 | | matches | | 0 | "Of course he had." | | 1 | "Somewhere in the building, a" | | 2 | "Then she turned back to" |
| | ratio | 0.032 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 93 | | matches | | 0 | "He'd been the first responder." | | 1 | "She crossed the threshold, and" | | 2 | "It bit at her exposed" | | 3 | "He could have been sleeping," | | 4 | "He stood by the far" | | 5 | "His eyes stared upward, clouded" | | 6 | "She leaned closer, and that" | | 7 | "She moved toward the wall" | | 8 | "She ran her finger along" | | 9 | "She snapped her fingers" | | 10 | "She crossed to them, to" | | 11 | "She returned to Mercer, who" | | 12 | "His posture said dismissal; his" | | 13 | "He'd used similar language at" | | 14 | "She let the silence hang" | | 15 | "She'd seen something similar before." | | 16 | "She hadn't heard him approach." | | 17 | "His eyes held steady on" | | 18 | "He stepped closer, lowering his" | | 19 | "He walked past her toward" |
| | ratio | 0.247 | |
| 78.28% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 93 | | matches | | 0 | "The ambulance lights carved red" | | 1 | "Detective Harlow Quinn stepped under" | | 2 | "The river's stench mingled with" | | 3 | "PC Lestrade stood by the" | | 4 | "He'd been the first responder." | | 5 | "Quinn studied the building." | | 6 | "The Jenner pumping station had" | | 7 | "The kind of place kids" | | 8 | "Quinn kept her expression neutral." | | 9 | "Mercer had made his opinion" | | 10 | "She crossed the threshold, and" | | 11 | "It bit at her exposed" | | 12 | "The main chamber stretched ahead," | | 13 | "Emergency lamps had been set" | | 14 | "Quinn approached with measured steps." | | 15 | "Military precision, her ex-husband used" | | 16 | "The victim was male, mid-thirties," | | 17 | "Italian leather shoes." | | 18 | "He could have been sleeping," | | 19 | "Mercer's voice echoed off the" |
| | ratio | 0.763 | |
| 53.76% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 93 | | matches | | 0 | "Whoever had left the tip" |
| | ratio | 0.011 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 7 | | matches | | 0 | "The river's stench mingled with something else tonight—copper and ozone, a combination that set her teeth on edge." | | 1 | "The victim was male, mid-thirties, dressed in a suit that cost more than her monthly salary." | | 2 | "He could have been sleeping, save for the wrongness in his posture—limbs bent at angles that suggested he'd collapsed rather than lay down." | | 3 | "The pipework here was different—older, the metal discolored in ways that had nothing to do with rust." | | 4 | "The lines were faint, but the shape was unmistakable—curved in ways that seemed to shift the longer she looked at it." | | 5 | "And in his jacket pocket, barely visible where his body had folded, she glimpsed something that caught the lamplight." | | 6 | "It spun, lazy and unhurried, before settling on a direction that made no sense—toward the wall with the symbol, the wall that should have been solid brick." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 40 | | tagDensity | 0.05 | | leniency | 0.1 | | rawRatio | 0.5 | | effectiveRatio | 0.05 | |