| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 52 | | tagDensity | 0.038 | | leniency | 0.077 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2044 | | 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) | |
| 85.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2044 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "pulse" | | 1 | "etched" | | 2 | "velvet" | | 3 | "pulsed" | | 4 | "weight" |
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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 | 197 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 197 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 247 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2043 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 1811 | | uniqueNames | 11 | | maxNameDensity | 1.49 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Raven | 2 | | Nest | 2 | | Harlow | 1 | | Quinn | 27 | | Greek | 1 | | Street | 1 | | London | 1 | | Tube | 1 | | Morris | 2 | | Rain | 4 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Harlow" | | 3 | "Quinn" | | 4 | "Morris" | | 5 | "Rain" |
| | places | | 0 | "Soho" | | 1 | "Greek" | | 2 | "Street" | | 3 | "London" |
| | globalScore | 0.755 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 124 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2043 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 247 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 138 | | mean | 14.8 | | std | 16.19 | | cv | 1.093 | | sampleLengths | | 0 | 51 | | 1 | 38 | | 2 | 2 | | 3 | 8 | | 4 | 4 | | 5 | 7 | | 6 | 3 | | 7 | 16 | | 8 | 6 | | 9 | 25 | | 10 | 1 | | 11 | 7 | | 12 | 2 | | 13 | 41 | | 14 | 33 | | 15 | 25 | | 16 | 5 | | 17 | 2 | | 18 | 1 | | 19 | 11 | | 20 | 4 | | 21 | 5 | | 22 | 29 | | 23 | 21 | | 24 | 2 | | 25 | 31 | | 26 | 1 | | 27 | 50 | | 28 | 2 | | 29 | 8 | | 30 | 62 | | 31 | 4 | | 32 | 4 | | 33 | 1 | | 34 | 4 | | 35 | 3 | | 36 | 10 | | 37 | 50 | | 38 | 28 | | 39 | 9 | | 40 | 42 | | 41 | 7 | | 42 | 18 | | 43 | 25 | | 44 | 1 | | 45 | 34 | | 46 | 22 | | 47 | 6 | | 48 | 3 | | 49 | 49 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 197 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 297 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 247 | | ratio | 0.004 | | matches | | 0 | "His face flashed under a streetlamp—young, pale, frightened in a way that made his movements ragged." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1817 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 44 | | adverbRatio | 0.024215740231150248 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.001651073197578426 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 247 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 247 | | mean | 8.27 | | std | 7.06 | | cv | 0.854 | | sampleLengths | | 0 | 12 | | 1 | 21 | | 2 | 18 | | 3 | 6 | | 4 | 9 | | 5 | 23 | | 6 | 2 | | 7 | 8 | | 8 | 4 | | 9 | 7 | | 10 | 3 | | 11 | 16 | | 12 | 6 | | 13 | 2 | | 14 | 6 | | 15 | 2 | | 16 | 2 | | 17 | 13 | | 18 | 1 | | 19 | 7 | | 20 | 2 | | 21 | 16 | | 22 | 1 | | 23 | 2 | | 24 | 3 | | 25 | 19 | | 26 | 6 | | 27 | 10 | | 28 | 17 | | 29 | 4 | | 30 | 1 | | 31 | 13 | | 32 | 7 | | 33 | 5 | | 34 | 2 | | 35 | 1 | | 36 | 11 | | 37 | 4 | | 38 | 5 | | 39 | 13 | | 40 | 12 | | 41 | 4 | | 42 | 4 | | 43 | 1 | | 44 | 4 | | 45 | 12 | | 46 | 2 | | 47 | 12 | | 48 | 5 | | 49 | 2 |
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| 53.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3441295546558704 | | totalSentences | 247 | | uniqueOpeners | 85 | |
| 39.45% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 169 | | matches | | 0 | "Somewhere below, a lock clanked." | | 1 | "Then she started down." |
| | ratio | 0.012 | |
| 94.56% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 53 | | totalSentences | 169 | | matches | | 0 | "Her coat clung to her" | | 1 | "She pressed two fingers to" | | 2 | "He held a satchel flat" | | 3 | "She had seen him enter" | | 4 | "His gaze snagged on a" | | 5 | "He started east at a" | | 6 | "She gave it in clipped" | | 7 | "She crossed through traffic with" | | 8 | "She never broke stride." | | 9 | "He looked back once, saw" | | 10 | "He sprinted down the pavement," | | 11 | "He ducked into an alley" | | 12 | "He dropped to the other" | | 13 | "She vaulted the gate, caught" | | 14 | "Her soles hit greasy concrete" | | 15 | "She spotted him at once," | | 16 | "Her radio crackled again." | | 17 | "She shoved the earpiece harder" | | 18 | "She kept her balance and" | | 19 | "He looked back again." |
| | ratio | 0.314 | |
| 33.96% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 144 | | totalSentences | 169 | | matches | | 0 | "The green neon above The" | | 1 | "Detective Harlow Quinn stood under" | | 2 | "Her coat clung to her" | | 3 | "Rain dripped from the sharp" | | 4 | "The worn leather watch on" | | 5 | "A radio hissed in her" | | 6 | "She pressed two fingers to" | | 7 | "Office air on the other" | | 8 | "Someone shuffling paperwork while she" | | 9 | "The door of the Raven’s" | | 10 | "A man stepped out alone" | | 11 | "Dark knit cap." | | 12 | "He held a satchel flat" | | 13 | "She had seen him enter" | | 14 | "The man glanced left." | | 15 | "His gaze snagged on a" | | 16 | "He started east at a" | | 17 | "Quinn touched her earpiece again." | | 18 | "She gave it in clipped" | | 19 | "She crossed through traffic with" |
| | ratio | 0.852 | |
| 59.17% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 169 | | matches | | 0 | "By the time she reached" | | 1 | "Now amber light breathed up" |
| | ratio | 0.012 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 74 | | technicalSentenceCount | 4 | | matches | | 0 | "He held a satchel flat against his side under one arm as if he expected someone to snatch it." | | 1 | "His face flashed under a streetlamp—young, pale, frightened in a way that made his movements ragged." | | 2 | "Snatches of trade rose up: money counted, bargains snapped out in accents from every corner of the city and beyond it, a child laughing somewhere too deep under…" | | 3 | "Quinn slid the satchel strap across her chest, tucked the bone token into her pocket, and drew a breath that tasted of rain, rust and old electricity." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn barked (bark)" | | 1 | "the gatekeeper muttered (mutter)" |
| | dialogueSentences | 52 | | tagDensity | 0.038 | | leniency | 0.077 | | rawRatio | 1 | | effectiveRatio | 0.077 | |