| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "Tomás Herrera standing just [just]" |
| | dialogueSentences | 18 | | tagDensity | 0.778 | | leniency | 1 | | rawRatio | 0.071 | | effectiveRatio | 0.071 | |
| 94.88% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 977 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 977 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "treacherous" | | 1 | "echoing" | | 2 | "jaw clenched" | | 3 | "footsteps" | | 4 | "could feel" | | 5 | "scanning" | | 6 | "stark" | | 7 | "oppressive" | | 8 | "weight" | | 9 | "pulse" | | 10 | "clandestine" | | 11 | "intrigue" | | 12 | "warmth" | | 13 | "tension" | | 14 | "resolve" | | 15 | "intricate" | | 16 | "navigated" | | 17 | "otherworldly" | | 18 | "silence" | | 19 | "dance" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 59 | | matches | | |
| 94.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 59 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 63 | | 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 | 969 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 875 | | uniqueNames | 11 | | maxNameDensity | 0.91 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 8 | | Raven | 1 | | Nest | 1 | | Morris | 1 | | Tube | 1 | | Veil | 1 | | Market | 3 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Morris" | | 4 | "Market" | | 5 | "Herrera" | | 6 | "Saint" | | 7 | "Christopher" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 62.28% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 2 | | matches | | 0 | "as if sensing her relentless drive" | | 1 | "as if testing her resolve" |
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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 | 969 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 63 | | matches | | |
| 87.65% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 32.3 | | std | 14.75 | | cv | 0.457 | | sampleLengths | | 0 | 50 | | 1 | 55 | | 2 | 48 | | 3 | 59 | | 4 | 64 | | 5 | 57 | | 6 | 37 | | 7 | 47 | | 8 | 40 | | 9 | 37 | | 10 | 23 | | 11 | 12 | | 12 | 34 | | 13 | 28 | | 14 | 35 | | 15 | 38 | | 16 | 14 | | 17 | 19 | | 18 | 20 | | 19 | 19 | | 20 | 23 | | 21 | 19 | | 22 | 24 | | 23 | 32 | | 24 | 15 | | 25 | 18 | | 26 | 33 | | 27 | 19 | | 28 | 13 | | 29 | 37 |
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| 99.32% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 59 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 142 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 63 | | ratio | 0.079 | | matches | | 0 | "Detective Harlow Quinn had always hated the rain; it muddied tracks, washed away evidence, and made the pavement treacherous." | | 1 | "The suspect—a lanky figure clad in a dark hoodie—dashed across the slick tarmac, his footfalls splashing noisily." | | 2 | "For a fraction of a second, his face came into view—a flash of determination mixed with fear that stirred something within her." | | 3 | "A sudden descent—an entrance barely noticeable except to those who knew—and the suspect vanished below ground." | | 4 | "Ahead, she noticed him again—the suspect—pausing at a stall, hand hovering over a vial filled with luminescent liquid." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 883 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.027180067950169876 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.015855039637599093 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 63 | | echoCount | 0 | | echoWords | (empty) | |
| 81.49% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 63 | | mean | 15.38 | | std | 5.44 | | cv | 0.354 | | sampleLengths | | 0 | 17 | | 1 | 19 | | 2 | 14 | | 3 | 17 | | 4 | 13 | | 5 | 25 | | 6 | 16 | | 7 | 15 | | 8 | 17 | | 9 | 28 | | 10 | 22 | | 11 | 2 | | 12 | 7 | | 13 | 26 | | 14 | 17 | | 15 | 21 | | 16 | 16 | | 17 | 23 | | 18 | 18 | | 19 | 15 | | 20 | 8 | | 21 | 14 | | 22 | 12 | | 23 | 14 | | 24 | 21 | | 25 | 10 | | 26 | 14 | | 27 | 8 | | 28 | 8 | | 29 | 24 | | 30 | 13 | | 31 | 8 | | 32 | 15 | | 33 | 12 | | 34 | 19 | | 35 | 15 | | 36 | 18 | | 37 | 10 | | 38 | 8 | | 39 | 16 | | 40 | 11 | | 41 | 20 | | 42 | 18 | | 43 | 14 | | 44 | 9 | | 45 | 10 | | 46 | 20 | | 47 | 19 | | 48 | 20 | | 49 | 3 |
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| 100.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.6031746031746031 | | totalSentences | 63 | | uniqueOpeners | 38 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 44.56% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 57 | | matches | | 0 | "Her shoes slapped rhythmically against" | | 1 | "He turned swiftly into an" | | 2 | "They emerged back into the" | | 3 | "She could feel the phantom" | | 4 | "She pulled a bone token" | | 5 | "Its stark, whispered existence a" | | 6 | "She felt the market’s pulse," | | 7 | "She paused at the threshold," | | 8 | "He tugged the Saint Christopher" | | 9 | "Her gaze held steady, locked" | | 10 | "She looked past his shoulder," | | 11 | "He offered a knowing nod," | | 12 | "She inclined her head, but" | | 13 | "Her breath came steady, but" | | 14 | "she murmured, stepping up beside" | | 15 | "His body tensed, fight or" | | 16 | "he muttered, eyes flicking toward" | | 17 | "he replied, a hint of" | | 18 | "She stepped closer, tension building" | | 19 | "His eyes, dark as the" |
| | ratio | 0.439 | |
| 56.49% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 57 | | matches | | 0 | "Detective Harlow Quinn had always" | | 1 | "The suspect—a lanky figure clad" | | 2 | "Quinn, undeterred, moved with the" | | 3 | "Her shoes slapped rhythmically against" | | 4 | "He turned swiftly into an" | | 5 | "The alley's narrow walls muffled" | | 6 | "Quinn's sharp jaw clenched against" | | 7 | "They emerged back into the" | | 8 | "Footsteps carried them past the" | | 9 | "Quinn's leather watch ticked loudly" | | 10 | "She could feel the phantom" | | 11 | "A sudden descent—an entrance barely" | | 12 | "Quinn skidded to a halt," | | 13 | "Rain poured down from her" | | 14 | "She pulled a bone token" | | 15 | "Its stark, whispered existence a" | | 16 | "She felt the market’s pulse," | | 17 | "The scent of herbs, the" | | 18 | "She paused at the threshold," | | 19 | "Stalls draped in shadows lined" |
| | ratio | 0.807 | |
| 87.72% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 57 | | matches | | 0 | "Yet, tonight, it seemed to" |
| | ratio | 0.018 | |
| 30.08% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 6 | | matches | | 0 | "Rain hammered the city with relentless fury, a curtain of water that blurred streetlights into hazy spectres." | | 1 | "He turned swiftly into an alley, his movements suddenly frantic as if sensing her relentless drive." | | 2 | "Footsteps carried them past the bar, the clink of glasses and muted jazz notes seeping out momentarily as if the night sought to join their chase." | | 3 | "She could feel the phantom presence of DS Morris, the absence that had been her constant shadow since that ill-fated case." | | 4 | "Beyond it lay danger, she knew, the kind of hazard that lurked in the corners of her nightmares." | | 5 | "Her gaze held steady, locked onto his warm brown eyes that hinted at stories untold." |
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| 17.86% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 3 | | matches | | 0 | "he muttered, eyes flicking toward an unseen exit" | | 1 | "he replied, a hint of defiance creeping into his voice" | | 2 | "He adjusted, as if testing her resolve" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "he muttered (mutter)" | | 2 | "she declared (declare)" |
| | dialogueSentences | 18 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.75 | | effectiveRatio | 0.333 | |