| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 967 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "suddenly" | | 1 | "completely" | | 2 | "softly" | | 3 | "very" |
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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) | |
| 58.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 967 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "reminder" | | 3 | "echoes" | | 4 | "streaming" | | 5 | "footsteps" | | 6 | "echoed" | | 7 | "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 | 1 | | narrationSentences | 67 | | matches | | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 4 | | narrationSentences | 67 | | filterMatches | | | hedgeMatches | | 0 | "appeared to" | | 1 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 67 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 972 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 82.99% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 970 | | uniqueNames | 18 | | maxNameDensity | 1.34 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 2 | | Harlow | 2 | | Quinn | 13 | | Camden | 2 | | Tomás | 1 | | Herrera | 8 | | London | 3 | | Raven | 1 | | Nest | 1 | | Morris | 6 | | Saint | 1 | | Christopher | 1 | | Metropolitan | 1 | | Police | 1 | | Victorian | 2 | | Underground | 1 | | Transport | 1 | | Spanish | 1 |
| | persons | | 0 | "Detective" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Camden" | | 4 | "Tomás" | | 5 | "Herrera" | | 6 | "Raven" | | 7 | "Morris" | | 8 | "Saint" | | 9 | "Christopher" | | 10 | "Police" |
| | places | | | globalScore | 0.83 | | windowScore | 1 | |
| 20.69% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 3 | | matches | | 0 | "appeared almost hidden between two Victorian buildings, the kind of architectural oddity that London swallowed whole and forgot about" | | 1 | "looked like an abandoned Underground entr" | | 2 | "something like this when he died" |
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| 97.12% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.029 | | wordCount | 972 | | matches | | 0 | "Not the echoes of late-night revelers or rough sleepers, but something else entirely" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 65.78% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 44.18 | | std | 16.8 | | cv | 0.38 | | sampleLengths | | 0 | 76 | | 1 | 17 | | 2 | 46 | | 3 | 61 | | 4 | 54 | | 5 | 53 | | 6 | 7 | | 7 | 52 | | 8 | 49 | | 9 | 48 | | 10 | 71 | | 11 | 47 | | 12 | 51 | | 13 | 46 | | 14 | 38 | | 15 | 27 | | 16 | 46 | | 17 | 38 | | 18 | 53 | | 19 | 34 | | 20 | 48 | | 21 | 10 |
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| 94.79% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 67 | | matches | | 0 | "being unwrapped" | | 1 | "was involved" |
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| 75.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 160 | | matches | | 0 | "was questioning" | | 1 | "was going" | | 2 | "was waiting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 67 | | ratio | 0.119 | | matches | | 0 | "Her worn leather watch caught the amber glow of a streetlamp - 11:47 PM." | | 1 | "The Metropolitan Police had trained her well - eighteen years of decorated service didn't happen by accident - but this pursuit felt different." | | 2 | "Then he reached into his jacket and withdrew something small - a pale object that gleamed bone-white under the streetlights." | | 3 | "The air carried scents that didn't belong - exotic spices, something metallic that made her nose wrinkle, and underneath it all, an earthy dampness that suggested vast spaces beyond what she could see." | | 4 | "Conversations conducted in hushed tones, punctuated by the sounds of commerce - coins changing hands, packages being unwrapped, negotiations conducted in languages she couldn't identify." | | 5 | "She checked her watch again - midnight exactly." | | 6 | "The medical bag he'd been carrying clinked softly - glass vials or metal instruments shifting inside." | | 7 | "Whatever lay ahead in those tunnels, whatever Herrera was involved in, whatever had killed Morris three years ago - it was waiting." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 965 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.03626943005181347 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.013471502590673576 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 67 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 67 | | mean | 14.51 | | std | 7.96 | | cv | 0.549 | | sampleLengths | | 0 | 31 | | 1 | 14 | | 2 | 31 | | 3 | 1 | | 4 | 16 | | 5 | 17 | | 6 | 29 | | 7 | 15 | | 8 | 23 | | 9 | 2 | | 10 | 7 | | 11 | 14 | | 12 | 17 | | 13 | 17 | | 14 | 20 | | 15 | 12 | | 16 | 15 | | 17 | 6 | | 18 | 20 | | 19 | 7 | | 20 | 11 | | 21 | 26 | | 22 | 15 | | 23 | 9 | | 24 | 2 | | 25 | 10 | | 26 | 8 | | 27 | 15 | | 28 | 5 | | 29 | 11 | | 30 | 17 | | 31 | 20 | | 32 | 13 | | 33 | 25 | | 34 | 33 | | 35 | 9 | | 36 | 13 | | 37 | 25 | | 38 | 12 | | 39 | 10 | | 40 | 16 | | 41 | 6 | | 42 | 7 | | 43 | 8 | | 44 | 17 | | 45 | 21 | | 46 | 7 | | 47 | 15 | | 48 | 16 | | 49 | 27 |
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| 77.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4925373134328358 | | totalSentences | 67 | | uniqueOpeners | 33 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 61 | | matches | | 0 | "Then he reached into his" | | 1 | "Barely adequate, but enough to" | | 2 | "Just Detective Harlow Quinn, eighteen" |
| | ratio | 0.049 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 6 | | totalSentences | 61 | | matches | | 0 | "Her worn leather watch caught" | | 1 | "His movements held purpose, direction," | | 2 | "It appeared almost hidden between" | | 3 | "She hesitated, finger hovering over" | | 4 | "She checked her watch again" | | 5 | "Her radio crackled with static," |
| | ratio | 0.098 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 61 | | matches | | 0 | "The rain hammered the pavement" | | 1 | "Her worn leather watch caught" | | 2 | "Herrera's silhouette darted between the" | | 3 | "The former paramedic moved with" | | 4 | "Quinn's shoes splashed through puddles" | | 5 | "The Metropolitan Police had trained" | | 6 | "Herrera wasn't running like a" | | 7 | "His movements held purpose, direction," | | 8 | "The detective rounded a corner" | | 9 | "Quinn had walked these streets" | | 10 | "It appeared almost hidden between" | | 11 | "Herrera paused at the bottom" | | 12 | "Quinn muttered, quickening her pace" | | 13 | "The stone steps descended into" | | 14 | "The metal gate that should" | | 15 | "Quinn pulled out her mobile" | | 16 | "She hesitated, finger hovering over" | | 17 | "Protocol demanded she report in," | | 18 | "The rain intensified, driving needles" | | 19 | "Quinn descended the first few" |
| | ratio | 0.705 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 61 | | matches | | 0 | "Even through the rain and" | | 1 | "If she turned back now," |
| | ratio | 0.033 | |
| 49.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 6 | | matches | | 0 | "His movements held purpose, direction, as if he knew exactly where he was going." | | 1 | "Then he reached into his jacket and withdrew something small - a pale object that gleamed bone-white under the streetlights." | | 2 | "Victorian ironwork supported a vaulted ceiling that disappeared into shadows, while the distinctive curved walls bore faded advertisements for products that had…" | | 3 | "The air carried scents that didn't belong - exotic spices, something metallic that made her nose wrinkle, and underneath it all, an earthy dampness that suggest…" | | 4 | "Through the darkness ahead, she caught glimpses of movement, shadows that moved with too much coordination to be tricks of light." | | 5 | "Just Detective Harlow Quinn, eighteen years of service, and the memory of a partner who'd died investigating something very much like this." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn muttered (mutter)" |
| | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |