| 94.74% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "She stepped around [around]" |
| | dialogueSentences | 19 | | tagDensity | 0.368 | | leniency | 0.737 | | rawRatio | 0.143 | | effectiveRatio | 0.105 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 402 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 12.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 402 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "gleaming" | | 1 | "glinting" | | 2 | "pulse" | | 3 | "processed" | | 4 | "familiar" | | 5 | "weight" | | 6 | "silence" |
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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 | 39 | | matches | (empty) | |
| 69.60% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 39 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 51 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 18 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 5 | | totalWords | 399 | | ratio | 0.013 | | matches | | 0 | "Danger - High Voltage" | | 1 | "is" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 1 | | matches | | 0 | "Behind her, Davies sighed." |
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| 49.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 298 | | uniqueNames | 14 | | maxNameDensity | 2.01 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Davies" | | discoveredNames | | Detective | 1 | | Harlow | 6 | | Quinn | 1 | | Camden | 1 | | Underground | 1 | | Davies | 6 | | Victorian | 1 | | Three | 1 | | High | 1 | | Voltage | 1 | | Chief | 1 | | Superintendent | 1 | | Graves | 1 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Davies" | | 3 | "Victorian" | | 4 | "Morris" |
| | places | (empty) | | globalScore | 0.493 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 26 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 2.506 | | wordCount | 399 | | matches | | 0 | "Not the usual Camden Underground cocktail of urine and damp, but something sharper" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 51 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 15.96 | | std | 11.29 | | cv | 0.707 | | sampleLengths | | 0 | 26 | | 1 | 25 | | 2 | 6 | | 3 | 6 | | 4 | 40 | | 5 | 9 | | 6 | 29 | | 7 | 4 | | 8 | 37 | | 9 | 5 | | 10 | 3 | | 11 | 30 | | 12 | 7 | | 13 | 21 | | 14 | 28 | | 15 | 7 | | 16 | 14 | | 17 | 17 | | 18 | 18 | | 19 | 9 | | 20 | 4 | | 21 | 29 | | 22 | 11 | | 23 | 2 | | 24 | 12 |
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| 96.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 39 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 52 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 51 | | ratio | 0.098 | | matches | | 0 | "A single evidence marker sat at the edge—no body, just a dark stain spreading across the tracks." | | 1 | "\"Ah. That's the interesting bit.\" He led her to a service door marked *Danger - High Voltage*." | | 2 | "The metal bore fresh scratch marks—three deep gouges matching those on the platform." | | 3 | "The signature looped in familiar bureaucratic cursive—Chief Superintendent Graves." | | 4 | "Darkness yawned beyond, thick with the scent of ozone and something older—damp earth, rotting parchment." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 301 | | adjectiveStacks | 2 | | stackExamples | | 0 | "gleaming under forensic lights." | | 1 | "familiar bureaucratic cursive—Chief" |
| | adverbCount | 5 | | adverbRatio | 0.016611295681063124 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0033222591362126247 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 51 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 51 | | mean | 7.82 | | std | 4.68 | | cv | 0.598 | | sampleLengths | | 0 | 11 | | 1 | 13 | | 2 | 1 | | 3 | 1 | | 4 | 15 | | 5 | 10 | | 6 | 5 | | 7 | 1 | | 8 | 6 | | 9 | 7 | | 10 | 16 | | 11 | 17 | | 12 | 4 | | 13 | 5 | | 14 | 10 | | 15 | 6 | | 16 | 1 | | 17 | 12 | | 18 | 4 | | 19 | 9 | | 20 | 14 | | 21 | 14 | | 22 | 2 | | 23 | 3 | | 24 | 3 | | 25 | 17 | | 26 | 13 | | 27 | 3 | | 28 | 4 | | 29 | 9 | | 30 | 12 | | 31 | 4 | | 32 | 9 | | 33 | 15 | | 34 | 7 | | 35 | 8 | | 36 | 6 | | 37 | 9 | | 38 | 8 | | 39 | 4 | | 40 | 14 | | 41 | 2 | | 42 | 7 | | 43 | 4 | | 44 | 7 | | 45 | 15 | | 46 | 7 | | 47 | 11 | | 48 | 2 | | 49 | 4 |
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| 96.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.6470588235294118 | | totalSentences | 51 | | uniqueOpeners | 33 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 33 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 33 | | matches | | 0 | "His usual smirk looked strained" | | 1 | "She ducked under the tape" | | 2 | "She shook her head, pointing" | | 3 | "Her torch beam caught something" | | 4 | "He led her to a" | | 5 | "She snatched the paper." | | 6 | "She stepped around him" | | 7 | "Her torch beam dissolved after" |
| | ratio | 0.242 | |
| 20.61% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 29 | | totalSentences | 33 | | matches | | 0 | "The stench hit Detective Harlow" | | 1 | "DS Davies stood by the" | | 2 | "His usual smirk looked strained" | | 3 | "Harlow adjusted her watch strap." | | 4 | "She ducked under the tape" | | 5 | "The abandoned platform stretched before" | | 6 | "A single evidence marker sat" | | 7 | "Davies followed her gaze." | | 8 | "Harlow crouched, gloved fingers brushing" | | 9 | "She shook her head, pointing" | | 10 | "Her torch beam caught something" | | 11 | "A small brass compass, its" | | 12 | "He led her to a" | | 13 | "The metal bore fresh scratch" | | 14 | "Harlow's pulse kicked." | | 15 | "Davies held up a crumpled" | | 16 | "She snatched the paper." | | 17 | "The signature looped in familiar" | | 18 | "The same man who'd closed" | | 19 | "The compass in her pocket" |
| | ratio | 0.879 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 33 | | matches | (empty) | | ratio | 0 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 11 | | technicalSentenceCount | 1 | | matches | | 0 | "The same man who'd closed her partner Morris's case with identical haste three years ago." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |