| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said softly [softly]" |
| | dialogueSentences | 27 | | tagDensity | 0.556 | | leniency | 1 | | rawRatio | 0.067 | | effectiveRatio | 0.067 | |
| 95.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1030 | | 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) | |
| 12.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1030 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "fractured" | | 1 | "reminder" | | 2 | "flicked" | | 3 | "flicker" | | 4 | "familiar" | | 5 | "unspoken" | | 6 | "pulsed" | | 7 | "charged" | | 8 | "echoed" | | 9 | "raced" | | 10 | "could feel" | | 11 | "weight" | | 12 | "pulse" | | 13 | "roaring" | | 14 | "gloom" | | 15 | "trembled" | | 16 | "shattered" |
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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 | 110 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 110 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 122 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 4 | | totalWords | 1019 | | ratio | 0.004 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 72.31% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 901 | | uniqueNames | 9 | | maxNameDensity | 1.55 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 14 | | Quinn | 1 | | Soho | 1 | | Morris | 2 | | Camden | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Sparks | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Camden" | | 4 | "Market" | | 5 | "Sparks" |
| | places | | | globalScore | 0.723 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.944 | | wordCount | 1019 | | matches | | 0 | "not at her, but toward the exit" | | 1 | "not her face, but a memory" | | 2 | "not at the suspect, but at the glass itself" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 122 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 23.7 | | std | 17.59 | | cv | 0.742 | | sampleLengths | | 0 | 67 | | 1 | 75 | | 2 | 42 | | 3 | 33 | | 4 | 54 | | 5 | 5 | | 6 | 52 | | 7 | 9 | | 8 | 22 | | 9 | 53 | | 10 | 25 | | 11 | 18 | | 12 | 26 | | 13 | 37 | | 14 | 22 | | 15 | 46 | | 16 | 7 | | 17 | 14 | | 18 | 20 | | 19 | 34 | | 20 | 24 | | 21 | 8 | | 22 | 21 | | 23 | 8 | | 24 | 35 | | 25 | 7 | | 26 | 21 | | 27 | 34 | | 28 | 3 | | 29 | 31 | | 30 | 4 | | 31 | 6 | | 32 | 25 | | 33 | 8 | | 34 | 28 | | 35 | 13 | | 36 | 28 | | 37 | 6 | | 38 | 17 | | 39 | 10 | | 40 | 12 | | 41 | 4 | | 42 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 110 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 177 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 2 | | flaggedSentences | 14 | | totalSentences | 122 | | ratio | 0.115 | | matches | | 0 | "Rain drummed against her leather jacket, each drop a cold reminder of the case she couldn’t close—three years since DS Morris vanished, his disappearance tangled in threads of the supernatural." | | 1 | "She didn’t dare think about that now; she focused on the figure ahead, hood pulled low, stride purposeful despite the downpour." | | 2 | "She’d seen that turn before—twelve hours earlier, a witness described a man slipping into “the Veil Market” after hearing whispers about a deal gone wrong." | | 3 | "Harlow recognized the scar on his forearm—a jagged line from a knife fight years ago." | | 4 | "His face was half-hidden by the hood, but his posture screamed readiness—shoulders squared, hands loose but alert." | | 5 | "“You think this is about packages?” His gaze swept the market—a labyrinth of stalls piled with oddities." | | 6 | "But the air felt thick, charged—like the moment before lightning splits the sky." | | 7 | "A distant shout echoed—someone else was closing in." | | 8 | "The Veil Market wasn’t just a place; it was a labyrinth designed to trap the unwary." | | 9 | "The market erupted into chaos—stalls overturned, shadows writhing." | | 10 | "Then—a voice, close behind." | | 11 | "The mirror showed not her face, but a memory—DS Morris, standing in this same chamber, his eyes wide with terror as shadows coiled around him." | | 12 | "The mirror’s surface rippled again, and this time, she saw the suspect’s face—his scar visible, his eyes hungry." | | 13 | "And in the chaos, Harlow lunged—not at the suspect, but at the glass itself." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 914 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.02188183807439825 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.005470459518599562 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 122 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 122 | | mean | 8.35 | | std | 5.36 | | cv | 0.642 | | sampleLengths | | 0 | 16 | | 1 | 30 | | 2 | 21 | | 3 | 9 | | 4 | 3 | | 5 | 25 | | 6 | 20 | | 7 | 18 | | 8 | 9 | | 9 | 3 | | 10 | 9 | | 11 | 15 | | 12 | 6 | | 13 | 8 | | 14 | 13 | | 15 | 5 | | 16 | 7 | | 17 | 4 | | 18 | 13 | | 19 | 9 | | 20 | 18 | | 21 | 10 | | 22 | 5 | | 23 | 7 | | 24 | 10 | | 25 | 8 | | 26 | 10 | | 27 | 17 | | 28 | 9 | | 29 | 9 | | 30 | 8 | | 31 | 5 | | 32 | 7 | | 33 | 17 | | 34 | 11 | | 35 | 12 | | 36 | 6 | | 37 | 18 | | 38 | 5 | | 39 | 2 | | 40 | 11 | | 41 | 4 | | 42 | 3 | | 43 | 13 | | 44 | 5 | | 45 | 8 | | 46 | 6 | | 47 | 8 | | 48 | 10 | | 49 | 13 |
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| 45.90% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.29508196721311475 | | totalSentences | 122 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 103 | | matches | | 0 | "Somewhere, water dripped in a" | | 1 | "Then the ground gave way." | | 2 | "Then—a voice, close behind." | | 3 | "Only the mirror remained, its" | | 4 | "Somewhere, a siren wailed." |
| | ratio | 0.049 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 103 | | matches | | 0 | "She didn’t dare think about" | | 1 | "She’d seen that turn before—twelve" | | 2 | "she barked, her voice cutting" | | 3 | "His gloved hand hovered near" | | 4 | "she said, stepping closer" | | 5 | "His breath came quick, shallow." | | 6 | "His face was half-hidden by" | | 7 | "he muttered, voice low" | | 8 | "she shot back, drawing her" | | 9 | "He laughed, a sound like" | | 10 | "His gaze swept the market—a" | | 11 | "she said, stepping forward" | | 12 | "His smile was a blade." | | 13 | "She’d come too far to" | | 14 | "She could feel the weight" | | 15 | "she repeated, louder" | | 16 | "she screamed, firing into the" | | 17 | "She sprinted after him, boots" | | 18 | "Her flashlight died." | | 19 | "His breath was warm, tainted" |
| | ratio | 0.272 | |
| 37.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 103 | | matches | | 0 | "Detective Harlow Quinn’s boots splashed" | | 1 | "Rain drummed against her leather" | | 2 | "She didn’t dare think about" | | 3 | "The suspect veered into an" | | 4 | "Harlow’s breath hitched." | | 5 | "She’d seen that turn before—twelve" | | 6 | "The place existed only during" | | 7 | "Tonight, the air smelled of" | | 8 | "she barked, her voice cutting" | | 9 | "The man froze." | | 10 | "His gloved hand hovered near" | | 11 | "Harlow recognized the scar on" | | 12 | "she said, stepping closer" | | 13 | "The suspect’s eyes flicked up," | | 14 | "His breath came quick, shallow." | | 15 | "A flicker of movement." | | 16 | "The man turned, vanishing into" | | 17 | "Harlow followed, her flashlight beam" | | 18 | "The passage reeked of mildew" | | 19 | "A trapdoor creaked open beneath" |
| | ratio | 0.845 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 103 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 1 | | matches | | 0 | "Detective Harlow Quinn’s boots splashed through puddles that reflected the fractured neon glow of Soho’s night." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 4 | | matches | | 0 | "She’d, a witness described a man slipping into" | | 1 | "she barked, her voice cutting through the storm" | | 2 | "he muttered, voice low" | | 3 | "she repeated, louder" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 8 | | fancyTags | | 0 | "she barked (bark)" | | 1 | "he muttered (mutter)" | | 2 | "she repeated (repeat)" | | 3 | "she screamed (scream)" | | 4 | "she growled (growl)" | | 5 | "she demanded (demand)" | | 6 | "he whispered (whisper)" | | 7 | "she breathed (breathe)" |
| | dialogueSentences | 27 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.667 | | effectiveRatio | 0.593 | |