| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "she hesitated then [then]" |
| | dialogueSentences | 51 | | tagDensity | 0.353 | | leniency | 0.706 | | rawRatio | 0.056 | | effectiveRatio | 0.039 | |
| 95.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2053 | | totalAiIsmAdverbs | 2 | | found | | 0 | | adverb | "reluctantly" | | count | 1 |
| | 1 | |
| | 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) | |
| 75.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2053 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "weight" | | 1 | "pounding" | | 2 | "flickered" | | 3 | "pulse" | | 4 | "resonated" | | 5 | "constructed" | | 6 | "crystal" | | 7 | "pulsed" | | 8 | "echoed" | | 9 | "chill" |
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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 | 151 | | matches | (empty) | |
| 76.63% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 4 | | narrationSentences | 151 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 185 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2034 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 84 | | wordCount | 1480 | | uniqueNames | 25 | | maxNameDensity | 1.55 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | London | 4 | | Soho | 1 | | Harlow | 1 | | Quinn | 23 | | Brewer | 1 | | Street | 2 | | November | 1 | | Tomás | 1 | | Herrera | 22 | | Camden | 2 | | High | 1 | | German | 1 | | Tube | 2 | | Morris | 7 | | Spain | 1 | | Christopher | 2 | | Detective | 2 | | Sergeant | 1 | | Like | 1 | | Margaret | 1 | | Market | 2 | | Saint | 2 | | Billingsgate | 1 | | Raven | 1 | | Nest | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tomás" | | 3 | "Herrera" | | 4 | "Morris" | | 5 | "Christopher" | | 6 | "Sergeant" | | 7 | "Margaret" | | 8 | "Saint" | | 9 | "Raven" |
| | places | | 0 | "London" | | 1 | "Soho" | | 2 | "Brewer" | | 3 | "Street" | | 4 | "Camden" | | 5 | "High" | | 6 | "Tube" | | 7 | "Spain" | | 8 | "Market" | | 9 | "Billingsgate" |
| | globalScore | 0.723 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 100 | | glossingSentenceCount | 7 | | matches | | 0 | "sounded like German" | | 1 | "looked like a token of some kind, carved" | | 2 | "metal that seemed to flow like liquid, fabric that moved without wind" | | 3 | "looked like luminescent honey" | | 4 | "seemed older than his twenty-nine years" | | 5 | "looked like a fish market in Billingsgate" | | 6 | "felt like twenty minutes" |
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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 | 2034 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 185 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 81 | | mean | 25.11 | | std | 19.28 | | cv | 0.768 | | sampleLengths | | 0 | 46 | | 1 | 27 | | 2 | 44 | | 3 | 3 | | 4 | 16 | | 5 | 37 | | 6 | 44 | | 7 | 58 | | 8 | 23 | | 9 | 37 | | 10 | 1 | | 11 | 49 | | 12 | 46 | | 13 | 3 | | 14 | 46 | | 15 | 4 | | 16 | 30 | | 17 | 8 | | 18 | 43 | | 19 | 16 | | 20 | 13 | | 21 | 33 | | 22 | 25 | | 23 | 7 | | 24 | 7 | | 25 | 24 | | 26 | 6 | | 27 | 25 | | 28 | 2 | | 29 | 18 | | 30 | 2 | | 31 | 55 | | 32 | 15 | | 33 | 10 | | 34 | 3 | | 35 | 2 | | 36 | 4 | | 37 | 9 | | 38 | 40 | | 39 | 44 | | 40 | 9 | | 41 | 27 | | 42 | 47 | | 43 | 39 | | 44 | 6 | | 45 | 24 | | 46 | 37 | | 47 | 17 | | 48 | 8 | | 49 | 46 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 151 | | matches | | 0 | "been transformed" | | 1 | "was gone" |
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| 67.20% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 251 | | matches | | 0 | "was sprinting" | | 1 | "were doing" | | 2 | "was failing" | | 3 | "was seeing" | | 4 | "was lightening" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 1 | | flaggedSentences | 12 | | totalSentences | 185 | | ratio | 0.065 | | matches | | 0 | "The suspect—Tomás Herrera, former paramedic, current person of interest in three unexplained deaths—had already cleared the fence and was sprinting across a car park toward Camden High Street." | | 1 | "The rain couldn't reach here; the buildings leaned together overhead like conspirators sharing secrets." | | 2 | "Her torch beam found old brick walls covered in graffiti—symbols she didn't recognize, angular and unsettling." | | 3 | "\"Then tell me what you know. About the deaths. About the clinic on Archer Street. About—\" she hesitated, then pushed forward, \"—about Detective Sergeant Morris.\"" | | 4 | "As if Morris's death had been—" | | 5 | "The metal groaned as he lifted it, revealing a spiral staircase descending into amber light and the smell of old things—incense and dust and something else, something organic that made Quinn think of snake pits and fever dreams." | | 6 | "The light grew brighter as she went down, and the sounds of London—traffic, rain, the eternal hum of the city—faded into nothing." | | 7 | "Stalls lined both sides of the space, constructed from materials that shouldn't exist—crystal that pulsed with inner light, metal that seemed to flow like liquid, fabric that moved without wind." | | 8 | "The vendor—if it could be called that—was a figure wrapped in so many layers of cloth that no face was visible, only hands that had too many fingers." | | 9 | "The scar on his left forearm—knife attack, her files had said—seemed to writhe." | | 10 | "Her rational mind kept trying to explain what she was seeing—hallucinogens in the water, elaborate practical joke, stress-induced psychosis—but her cop's instincts knew the truth." | | 11 | "A sound echoed through the Market—a bell, low and sonorous, that seemed to vibrate through Quinn's bones." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1440 | | adjectiveStacks | 1 | | stackExamples | | 0 | "former paramedic, current person" |
| | adverbCount | 30 | | adverbRatio | 0.020833333333333332 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.006944444444444444 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 185 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 185 | | mean | 10.99 | | std | 8.91 | | cv | 0.811 | | sampleLengths | | 0 | 17 | | 1 | 29 | | 2 | 11 | | 3 | 16 | | 4 | 15 | | 5 | 14 | | 6 | 4 | | 7 | 2 | | 8 | 9 | | 9 | 3 | | 10 | 9 | | 11 | 1 | | 12 | 6 | | 13 | 8 | | 14 | 23 | | 15 | 6 | | 16 | 14 | | 17 | 2 | | 18 | 28 | | 19 | 8 | | 20 | 3 | | 21 | 3 | | 22 | 20 | | 23 | 6 | | 24 | 8 | | 25 | 5 | | 26 | 5 | | 27 | 7 | | 28 | 16 | | 29 | 19 | | 30 | 18 | | 31 | 1 | | 32 | 4 | | 33 | 17 | | 34 | 1 | | 35 | 3 | | 36 | 24 | | 37 | 3 | | 38 | 3 | | 39 | 23 | | 40 | 6 | | 41 | 6 | | 42 | 5 | | 43 | 3 | | 44 | 16 | | 45 | 14 | | 46 | 16 | | 47 | 4 | | 48 | 6 | | 49 | 16 |
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| 60.90% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.41081081081081083 | | totalSentences | 185 | | uniqueOpeners | 76 | |
| 72.99% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 137 | | matches | | 0 | "Just a flash of pale" | | 1 | "Too confident for someone running" | | 2 | "Then he reached into his" |
| | ratio | 0.022 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 137 | | matches | | 0 | "She hadn't expected him to" | | 1 | "She squeezed through the gap," | | 2 | "She didn't believe in shouldn't" | | 3 | "She believed in evidence, procedure," | | 4 | "She caught a glimpse of" | | 5 | "He veered right, toward an" | | 6 | "Her partner, found dead in" | | 7 | "She followed Herrera into the" | | 8 | "Her torch beam found old" | | 9 | "Her other hand found her" | | 10 | "His accent carried traces of" | | 11 | "His hand moved to his" | | 12 | "she hesitated, then pushed forward," | | 13 | "He said it like the" | | 14 | "It looked like a token" | | 15 | "He held it out to" | | 16 | "It seemed to pulse, like" | | 17 | "He gestured toward the stairs" | | 18 | "She'd never come back." | | 19 | "She descended, one hand on" |
| | ratio | 0.234 | |
| 73.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 106 | | totalSentences | 137 | | matches | | 0 | "The rain hammered London like" | | 1 | "Detective Harlow Quinn's boots slapped" | | 2 | "Quinn pushed harder, her worn" | | 3 | "This one moved wrong." | | 4 | "The words disappeared into the" | | 5 | "She hadn't expected him to" | | 6 | "The alley stank of garbage" | | 7 | "Quinn's hand found her torch," | | 8 | "The fence swung loose, recently" | | 9 | "She squeezed through the gap," | | 10 | "The suspect—Tomás Herrera, former paramedic," | | 11 | "Quinn had been watching Herrera" | | 12 | "The official story said unauthorized" | | 13 | "The unofficial whispers she'd caught" | | 14 | "Patients who shouldn't have survived." | | 15 | "Patients who shouldn't have existed." | | 16 | "She didn't believe in shouldn't" | | 17 | "She believed in evidence, procedure," | | 18 | "Herrera vaulted a low wall" | | 19 | "Quinn followed, shoving past a" |
| | ratio | 0.774 | |
| 72.99% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 137 | | matches | | 0 | "As if survival had been" | | 1 | "As if Morris's death had" |
| | ratio | 0.015 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 3 | | matches | | 0 | "Building a picture of a man who'd thrown away a promising medical career for reasons no one could adequately explain." | | 1 | "Looked at Herrera, with his scar and his saint's medallion and his eyes that had seen things she couldn't imagine." | | 2 | "Stalls lined both sides of the space, constructed from materials that shouldn't exist—crystal that pulsed with inner light, metal that seemed to flow like liqui…" |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 2 | | matches | | 0 | "His hand moved, fingers closing around something beneath his shirt" | | 1 | "he continued, as if the transaction hadn't happened" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "he continued (continue)" |
| | dialogueSentences | 51 | | tagDensity | 0.118 | | leniency | 0.235 | | rawRatio | 0.167 | | effectiveRatio | 0.039 | |