| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 3 | | adverbTags | | 0 | "Harlow said suddenly [suddenly]" | | 1 | "he said quietly [quietly]" | | 2 | "he said softly [softly]" |
| | dialogueSentences | 30 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.2 | | effectiveRatio | 0.2 | |
| 88.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2140 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "carefully" | | 1 | "slowly" | | 2 | "suddenly" | | 3 | "softly" |
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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) | |
| 50.93% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2140 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | word | "practiced ease" | | count | 1 |
| | 12 | | | 13 | | | 14 | | | 15 | | | 16 | |
| | highlights | | 0 | "streaming" | | 1 | "measured" | | 2 | "pounding" | | 3 | "footsteps" | | 4 | "familiar" | | 5 | "echoed" | | 6 | "electric" | | 7 | "shimmered" | | 8 | "pulse" | | 9 | "velvet" | | 10 | "stomach" | | 11 | "practiced ease" | | 12 | "flickered" | | 13 | "weight" | | 14 | "shattered" | | 15 | "comforting" | | 16 | "processed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 174 | | matches | (empty) | |
| 93.60% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 5 | | narrationSentences | 174 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "appeared to" | | 2 | "tried to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 189 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 62 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2130 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 1 | | matches | | 0 | "Creatures—no, people, she corrected herself harshly, though her mind supplied different words—moved between them." |
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| 97.92% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 56 | | wordCount | 1824 | | uniqueNames | 25 | | maxNameDensity | 1.04 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Soho | 1 | | Raven | 2 | | Nest | 2 | | Harlow | 19 | | Quinn | 2 | | Greek | 1 | | Street | 1 | | Shoreditch | 1 | | London | 2 | | Morris | 2 | | Charing | 1 | | Cross | 1 | | Road | 1 | | Camden | 1 | | Northern | 1 | | Line | 1 | | Veil | 1 | | Market | 1 | | Saint | 2 | | Christopher | 2 | | Spanish | 1 | | Herrera | 7 | | Glock | 1 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Raven" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Morris" | | 4 | "Market" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Herrera" |
| | places | | 0 | "Soho" | | 1 | "Greek" | | 2 | "Street" | | 3 | "London" | | 4 | "Charing" | | 5 | "Cross" | | 6 | "Road" |
| | globalScore | 0.979 | | windowScore | 1 | |
| 54.58% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 131 | | glossingSentenceCount | 5 | | matches | | 0 | "seemed far too loud in the narrow space" | | 1 | "looked like living starlight" | | 2 | "looked like a small bone token" | | 3 | "looked like a bone knife from beneath the" | | 4 | "seemed far older than twenty-nine years could account for" |
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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 | 2130 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 189 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 32.77 | | std | 23.09 | | cv | 0.705 | | sampleLengths | | 0 | 111 | | 1 | 67 | | 2 | 85 | | 3 | 44 | | 4 | 6 | | 5 | 7 | | 6 | 63 | | 7 | 55 | | 8 | 43 | | 9 | 52 | | 10 | 29 | | 11 | 10 | | 12 | 46 | | 13 | 59 | | 14 | 7 | | 15 | 50 | | 16 | 29 | | 17 | 12 | | 18 | 6 | | 19 | 84 | | 20 | 3 | | 21 | 60 | | 22 | 55 | | 23 | 68 | | 24 | 24 | | 25 | 27 | | 26 | 4 | | 27 | 19 | | 28 | 29 | | 29 | 14 | | 30 | 29 | | 31 | 42 | | 32 | 52 | | 33 | 27 | | 34 | 27 | | 35 | 41 | | 36 | 16 | | 37 | 30 | | 38 | 6 | | 39 | 18 | | 40 | 5 | | 41 | 42 | | 42 | 31 | | 43 | 13 | | 44 | 3 | | 45 | 53 | | 46 | 30 | | 47 | 13 | | 48 | 58 | | 49 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 174 | | matches | | 0 | "was plastered" | | 1 | "been transformed" |
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| 73.82% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 317 | | matches | | 0 | "were changing" | | 1 | "was fogging" | | 2 | "was closing" | | 3 | "were flickering" | | 4 | "was reacting" | | 5 | "was almost comforting" |
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| 37.04% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 189 | | ratio | 0.037 | | matches | | 0 | "The suspect—tall, olive-skinned, moving with the easy grace of someone who knew these back alleys too well—glanced over his shoulder as he rounded the corner onto Greek Street." | | 1 | "Her partner's face flashed behind her eyes—DS Morris, bleeding out on warehouse concrete while something with too many joints dragged itself across the ceiling." | | 2 | "The city sounds were changing—the distant rumble of buses on Charing Cross Road fading as they moved deeper into the warren of passages that snaked beneath Camden." | | 3 | "The air that wafted up smelled of ozone, damp stone, and something sweeter—incense and blood and old paper." | | 4 | "The old signs still clung to the curved walls—CAMDEN TOWN—but someone had altered them." | | 5 | "Creatures—no, people, she corrected herself harshly, though her mind supplied different words—moved between them." | | 6 | "Sirens wailed in the distance—someone must have heard the gunshots." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1843 | | adjectiveStacks | 1 | | stackExamples | | 0 | "proper two-handed grip." |
| | adverbCount | 71 | | adverbRatio | 0.0385241454150841 | | lyAdverbCount | 24 | | lyAdverbRatio | 0.013022246337493217 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 189 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 189 | | mean | 11.27 | | std | 7.91 | | cv | 0.702 | | sampleLengths | | 0 | 29 | | 1 | 23 | | 2 | 19 | | 3 | 21 | | 4 | 19 | | 5 | 28 | | 6 | 10 | | 7 | 3 | | 8 | 7 | | 9 | 19 | | 10 | 10 | | 11 | 6 | | 12 | 2 | | 13 | 34 | | 14 | 33 | | 15 | 24 | | 16 | 9 | | 17 | 3 | | 18 | 8 | | 19 | 6 | | 20 | 7 | | 21 | 19 | | 22 | 11 | | 23 | 7 | | 24 | 3 | | 25 | 2 | | 26 | 1 | | 27 | 9 | | 28 | 2 | | 29 | 9 | | 30 | 12 | | 31 | 16 | | 32 | 27 | | 33 | 23 | | 34 | 14 | | 35 | 3 | | 36 | 2 | | 37 | 1 | | 38 | 12 | | 39 | 14 | | 40 | 8 | | 41 | 18 | | 42 | 10 | | 43 | 7 | | 44 | 8 | | 45 | 4 | | 46 | 2 | | 47 | 8 | | 48 | 5 | | 49 | 4 |
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| 52.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.36507936507936506 | | totalSentences | 189 | | uniqueOpeners | 69 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 160 | | matches | | 0 | "Only the faint sound of" | | 1 | "Instead, she started down the" | | 2 | "Then the sounds reached her." | | 3 | "Instead, he smashed it against" | | 4 | "Just looked at her with" |
| | ratio | 0.031 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 160 | | matches | | 0 | "Her closely cropped salt-and-pepper hair" | | 1 | "He clutched something small and" | | 2 | "She wasn't supposed to be" | | 3 | "Her partner's face flashed behind" | | 4 | "She still woke up tasting" | | 5 | "she muttered, and gave chase" | | 6 | "Her boots slapped through puddles" | | 7 | "He was fast, but she" | | 8 | "She could hear his breathing" | | 9 | "He vaulted a low chain-link" | | 10 | "She pressed her shoulder against" | | 11 | "It gave with a groan" | | 12 | "she called down the stairwell" | | 13 | "Her voice echoed back at" | | 14 | "She should call it in." | | 15 | "They weren't electric." | | 16 | "They caught the strange light" | | 17 | "She pressed herself against the" | | 18 | "She'd heard the name in" | | 19 | "He moved with the confidence" |
| | ratio | 0.288 | |
| 28.75% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 138 | | totalSentences | 160 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn kept her" | | 2 | "Her closely cropped salt-and-pepper hair" | | 3 | "The worn leather watch on" | | 4 | "The chase had its own" | | 5 | "The suspect—tall, olive-skinned, moving with" | | 6 | "He clutched something small and" | | 7 | "Harlow's hand hovered near the" | | 8 | "She wasn't supposed to be" | | 9 | "The trail that had begun" | | 10 | "Her partner's face flashed behind" | | 11 | "The official report had called" | | 12 | "Harlow knew better." | | 13 | "She still woke up tasting" | | 14 | "The man broke into a" | | 15 | "she muttered, and gave chase" | | 16 | "Her boots slapped through puddles" | | 17 | "The walls here were ancient" | | 18 | "He was fast, but she" | | 19 | "The gap narrowed." |
| | ratio | 0.863 | |
| 62.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 160 | | matches | | 0 | "By the time she reached" | | 1 | "Now it spread before her" |
| | ratio | 0.013 | |
| 57.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 84 | | technicalSentenceCount | 10 | | matches | | 0 | "The rain came down in sheets, turning the Soho pavements into black mirrors that reflected the sickly glow of streetlamps and the pulsing green neon of The Rave…" | | 1 | "Detective Harlow Quinn kept her stride tight, shoulders squared with the military precision that had carried her through eighteen years on the force." | | 2 | "The suspect—tall, olive-skinned, moving with the easy grace of someone who knew these back alleys too well—glanced over his shoulder as he rounded the corner on…" | | 3 | "He clutched something small and metallic against his chest, something that caught the neon and flashed like a signal." | | 4 | "The trail that had begun with a dead informant in Shoreditch had led her to The Raven's Nest, where she'd watched this man slip out the back after a hushed conv…" | | 5 | "The city sounds were changing—the distant rumble of buses on Charing Cross Road fading as they moved deeper into the warren of passages that snaked beneath Camd…" | | 6 | "The suspect ducked through a graffiti-covered archway that led to what should have been a disused maintenance entrance for the old Northern Line." | | 7 | "The air that wafted up smelled of ozone, damp stone, and something sweeter—incense and blood and old paper." | | 8 | "The green lights were flickering wildly now, as if the market itself was reacting to the intrusion." | | 9 | "Something that shouldn't have been able to fit through the narrow opening." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, his Spanish accent softening the consonants" | | 1 | "He took, hands visible and empty" | | 2 | "Harlow said suddenly, the pieces clicking into place with nauseating clarity" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 5 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she demanded (demand)" | | 2 | "he shouted (shout)" | | 3 | "he panted (pant)" | | 4 | "Harlow snarled (snarl)" |
| | dialogueSentences | 30 | | tagDensity | 0.367 | | leniency | 0.733 | | rawRatio | 0.455 | | effectiveRatio | 0.333 | |