| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1306 | | totalAiIsmAdverbs | 1 | | found | | | 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) | |
| 42.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1306 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "flickered" | | 1 | "echoed" | | 2 | "echoing" | | 3 | "flicked" | | 4 | "pulse" | | 5 | "quickened" | | 6 | "measured" | | 7 | "etched" | | 8 | "glinting" | | 9 | "pulsed" | | 10 | "footsteps" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 99 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 99 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1295 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1278 | | uniqueNames | 18 | | maxNameDensity | 1.33 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 17 | | Raven | 1 | | Nest | 1 | | Silas | 1 | | Morris | 3 | | Charing | 1 | | Cross | 1 | | Road | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Saint | 1 | | Christopher | 1 | | Herrera | 1 | | Tomás | 5 | | Lightning | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Silas" | | 5 | "Morris" | | 6 | "Market" | | 7 | "Saint" | | 8 | "Christopher" | | 9 | "Herrera" | | 10 | "Tomás" | | 11 | "Lightning" |
| | places | | 0 | "Soho" | | 1 | "Charing" | | 2 | "Cross" | | 3 | "Road" |
| | globalScore | 0.835 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 89 | | glossingSentenceCount | 1 | | matches | | 0 | "as if weighing whether to intervene, then returned to the wounded arm" |
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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 | 1295 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 99 | | matches | | |
| 20.90% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 68.16 | | std | 15.21 | | cv | 0.223 | | sampleLengths | | 0 | 94 | | 1 | 73 | | 2 | 87 | | 3 | 93 | | 4 | 60 | | 5 | 63 | | 6 | 51 | | 7 | 83 | | 8 | 78 | | 9 | 78 | | 10 | 42 | | 11 | 56 | | 12 | 68 | | 13 | 59 | | 14 | 83 | | 15 | 59 | | 16 | 55 | | 17 | 45 | | 18 | 68 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 99 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 224 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 2 | | flaggedSentences | 13 | | totalSentences | 99 | | ratio | 0.131 | | matches | | 0 | "The distinctive green neon sign of the Raven’s Nest flickered in her periphery—Silas’s bar, its walls papered with antique maps and grainy photographs of impossibly distant places." | | 1 | "Quinn risked a glance up at her worn leather watch—3:17 a.m." | | 2 | "The suspect paused at the top step, thumb flicking a small object in and out of his palm—a bone token, pale and chipped." | | 3 | "The beam caught on a mural carved into the brick—sigils and runes coiling around the entrance to a yawning archway." | | 4 | "The hum dragged at her instincts, tugged at that part of her that resented the invisible lines beyond which the law didn’t—or wouldn’t—reach." | | 5 | "As she neared, a figure behind the table straightened—a paramedic’s coat, rolled-up sleeves, a Saint Christopher medallion glinting at the sternum." | | 6 | "The edge of the crowd momentarily parted around him; even in this lawless cavern, Quinn sensed a grudging respect for the man’s skill." | | 7 | "That was Tomás’s specialty—unofficial care for the supernatural, side-stepping NHS protocols to keep this underworld quiet." | | 8 | "Tomás hissed a warning—a sound half-command, half-plea—as the wounded buyer strained to sit upright." | | 9 | "Lightning rumbled far above; somewhere, rain hammered the earth anew." | | 10 | "This place lived outside her jurisdiction—no jurisdiction at all, perhaps." | | 11 | "But three years ago, when DS Morris died under inexplicable circumstances—circumstances whispered to involve inhuman forces—she vowed never to back away from the unknown." | | 12 | "She remembered Morris’s face in his last moments—a look of stunned recognition, like he’d seen something that shouldn’t exist." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 930 | | adjectiveStacks | 1 | | stackExamples | | 0 | "supernatural, side-stepping NHS" |
| | adverbCount | 16 | | adverbRatio | 0.017204301075268817 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.00967741935483871 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 13.08 | | std | 6.03 | | cv | 0.461 | | sampleLengths | | 0 | 19 | | 1 | 19 | | 2 | 17 | | 3 | 19 | | 4 | 20 | | 5 | 13 | | 6 | 27 | | 7 | 14 | | 8 | 14 | | 9 | 5 | | 10 | 6 | | 11 | 3 | | 12 | 10 | | 13 | 11 | | 14 | 20 | | 15 | 21 | | 16 | 16 | | 17 | 13 | | 18 | 19 | | 19 | 13 | | 20 | 23 | | 21 | 7 | | 22 | 18 | | 23 | 3 | | 24 | 15 | | 25 | 9 | | 26 | 11 | | 27 | 15 | | 28 | 7 | | 29 | 11 | | 30 | 10 | | 31 | 12 | | 32 | 20 | | 33 | 10 | | 34 | 20 | | 35 | 3 | | 36 | 28 | | 37 | 8 | | 38 | 10 | | 39 | 24 | | 40 | 18 | | 41 | 23 | | 42 | 6 | | 43 | 21 | | 44 | 6 | | 45 | 9 | | 46 | 21 | | 47 | 13 | | 48 | 2 | | 49 | 16 |
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| 46.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.31313131313131315 | | totalSentences | 99 | | uniqueOpeners | 31 | |
| 68.03% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 98 | | matches | | 0 | "Somewhere ahead, a faint murmur" | | 1 | "Only seven minutes had passed" |
| | ratio | 0.02 | |
| 60.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 98 | | matches | | 0 | "She kept her head low" | | 1 | "She made a mental note:" | | 2 | "She’d have to circle back" | | 3 | "She gained ground." | | 4 | "He rounded a corner and" | | 5 | "She tightened the straps of" | | 6 | "Her partner’s voice echoed in" | | 7 | "She could almost feel his" | | 8 | "She spotted him again, close" | | 9 | "He pressed it against the" | | 10 | "She plunged after him, water" | | 11 | "She reached a landing where" | | 12 | "She knew the rumor: this" | | 13 | "She forced herself to move" | | 14 | "She recognized the stalls instantly:" | | 15 | "She caught sight of him" | | 16 | "She advanced, boots thudding softly" | | 17 | "She recognized the olive skin," | | 18 | "He pressed a gloved hand" | | 19 | "He lifted his sleeve, revealing" |
| | ratio | 0.398 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 98 | | matches | | 0 | "Rain pelted the pavement in" | | 1 | "Detective Harlow Quinn advanced under" | | 2 | "She kept her head low" | | 3 | "A lanky figure in a" | | 4 | "Quinn tightened her grip on" | | 5 | "Thunder murmured overhead as she" | | 6 | "The distinctive green neon sign" | | 7 | "She made a mental note:" | | 8 | "She’d have to circle back" | | 9 | "Tonight, her priority lay elsewhere." | | 10 | "A slammed door, a staccato" | | 11 | "She gained ground." | | 12 | "He rounded a corner and" | | 13 | "Quinn risked a glance up" | | 14 | "She tightened the straps of" | | 15 | "Her partner’s voice echoed in" | | 16 | "She could almost feel his" | | 17 | "The alley spat her out" | | 18 | "She spotted him again, close" | | 19 | "Graffiti scrawled on the walls," |
| | ratio | 0.857 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 98 | | matches | | 0 | "Before she could call out," | | 1 | "No matter where it leads." |
| | ratio | 0.02 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 67 | | technicalSentenceCount | 2 | | matches | | 0 | "The hum dragged at her instincts, tugged at that part of her that resented the invisible lines beyond which the law didn’t—or wouldn’t—reach." | | 1 | "She remembered Morris’s face in his last moments—a look of stunned recognition, like he’d seen something that shouldn’t exist." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "he hissed, voice rough as gravel" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |