| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.474 | | leniency | 0.947 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.09% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1280 | | 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 | 1280 | | totalAiIsms | 31 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | |
| | highlights | | 0 | "rhythmic" | | 1 | "familiar" | | 2 | "amidst" | | 3 | "scanned" | | 4 | "flicked" | | 5 | "pounding" | | 6 | "resolve" | | 7 | "tapestry" | | 8 | "reminder" | | 9 | "echoed" | | 10 | "predictable" | | 11 | "enigma" | | 12 | "encounter" | | 13 | "etched" | | 14 | "marveled" | | 15 | "echoes" | | 16 | "tension" | | 17 | "charged" | | 18 | "electric" | | 19 | "unspoken" | | 20 | "calculated" | | 21 | "stark" | | 22 | "calibrated" | | 23 | "intensity" | | 24 | "unwavering" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 88 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 88 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1266 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 61 | | wordCount | 1164 | | uniqueNames | 12 | | maxNameDensity | 2.06 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 2 | | Harlow | 2 | | Quinn | 24 | | Herrera | 15 | | Rain | 2 | | Morris | 2 | | Tube | 1 | | Veil | 1 | | Market | 7 | | Together | 2 | | Panic | 1 | | Tomás | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Rain" | | 4 | "Morris" | | 5 | "Together" | | 6 | "Tomás" |
| | places | | | globalScore | 0.469 | | windowScore | 0.333 | |
| 60.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 3 | | matches | | 0 | "quite fathom, yet had come to trust in their value" | | 1 | "felt like jagged pieces of air as they" | | 2 | "appeared near a vendor, exchanging hurried words and concealed commodities" |
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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 | 1266 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 98 | | matches | (empty) | |
| 91.55% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 35.17 | | std | 16.54 | | cv | 0.47 | | sampleLengths | | 0 | 66 | | 1 | 82 | | 2 | 27 | | 3 | 21 | | 4 | 19 | | 5 | 55 | | 6 | 39 | | 7 | 55 | | 8 | 18 | | 9 | 57 | | 10 | 3 | | 11 | 49 | | 12 | 16 | | 13 | 31 | | 14 | 57 | | 15 | 29 | | 16 | 55 | | 17 | 37 | | 18 | 49 | | 19 | 34 | | 20 | 25 | | 21 | 30 | | 22 | 20 | | 23 | 27 | | 24 | 37 | | 25 | 21 | | 26 | 41 | | 27 | 41 | | 28 | 42 | | 29 | 12 | | 30 | 17 | | 31 | 21 | | 32 | 33 | | 33 | 27 | | 34 | 38 | | 35 | 35 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 88 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 202 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 98 | | ratio | 0.082 | | matches | | 0 | "He had insisted on coming after Quinn had muttered under her breath about the peculiar medallion she had seen the suspect wear—reminded her of the kind Herrera sported like a talisman." | | 1 | "Her detective's instincts screamed—he wasn’t just running." | | 2 | "A terrain she'd only heard about in whispers—The Veil Market." | | 3 | "The tunnel branched out like veins in a limb, winding toward the Market—a place that thrived on whispers." | | 4 | "Yet, beneath her persistent drive, Quinn sensed the gravity of the place—the pull of undiluted power lurking beneath enchanted surfaces." | | 5 | "Around her, the Market watchers were oblivious or charmed by unfolding drama—a stark contrast to the frantic pace of the chase." | | 6 | "But she felt it—victory drawing close like moth to flame." | | 7 | "With a renewed display of relentless tenacity, Detective Harlow Quinn had notched another victory in a world that blurred the boundaries of reality, supported by the unwavering presence of Tomás Herrera—an ally in unimaginable realms." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1178 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.019524617996604415 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.008488964346349746 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 12.92 | | std | 6.47 | | cv | 0.501 | | sampleLengths | | 0 | 19 | | 1 | 17 | | 2 | 11 | | 3 | 19 | | 4 | 12 | | 5 | 31 | | 6 | 14 | | 7 | 25 | | 8 | 15 | | 9 | 12 | | 10 | 17 | | 11 | 4 | | 12 | 12 | | 13 | 7 | | 14 | 17 | | 15 | 20 | | 16 | 4 | | 17 | 14 | | 18 | 20 | | 19 | 15 | | 20 | 4 | | 21 | 10 | | 22 | 23 | | 23 | 10 | | 24 | 7 | | 25 | 5 | | 26 | 12 | | 27 | 6 | | 28 | 18 | | 29 | 14 | | 30 | 7 | | 31 | 8 | | 32 | 10 | | 33 | 3 | | 34 | 10 | | 35 | 9 | | 36 | 8 | | 37 | 13 | | 38 | 9 | | 39 | 13 | | 40 | 3 | | 41 | 15 | | 42 | 13 | | 43 | 3 | | 44 | 3 | | 45 | 10 | | 46 | 14 | | 47 | 30 | | 48 | 9 | | 49 | 17 |
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| 79.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.4897959183673469 | | totalSentences | 98 | | uniqueOpeners | 48 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 88 | | matches | | 0 | "She adjusted her grip on" | | 1 | "Her eyes, sharp as a" | | 2 | "He had insisted on coming" | | 3 | "She knew Herrera had connections" | | 4 | "she shot back, though doubt" | | 5 | "Her quarry had turned the" | | 6 | "Her detective's instincts screamed—he wasn’t" | | 7 | "He was leading them somewhere." | | 8 | "She caught sight of the" | | 9 | "They both knew the rumors" | | 10 | "Her hand unconsciously brushed the" | | 11 | "she nodded towards where the" | | 12 | "She glanced toward Herrera, the" | | 13 | "She marveled, but hid it" | | 14 | "She slid the bone token" | | 15 | "He paused, eyes narrowing upon" | | 16 | "she lunged forward, voice cracking" | | 17 | "They wove through enchantments that" | | 18 | "Her words sliced the air," | | 19 | "Her arm reached forward, snagging" |
| | ratio | 0.25 | |
| 39.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 88 | | matches | | 0 | "Rain pelted the pavement in" | | 1 | "She adjusted her grip on" | | 2 | "Her eyes, sharp as a" | | 3 | "The distant figure of the" | | 4 | "Tomás Herrera was somewhere behind" | | 5 | "He had insisted on coming" | | 6 | "The thought that their man" | | 7 | "She knew Herrera had connections" | | 8 | "Quinn barked, dodging a slick" | | 9 | "The suspect made a sharp" | | 10 | "Herrera was beside her in" | | 11 | "she shot back, though doubt" | | 12 | "Rain streamed down her forehead," | | 13 | "Her quarry had turned the" | | 14 | "DS Morris’s haunting absence propelled" | | 15 | "Quinn cursed under her breath," | | 16 | "The stench of the city’s" | | 17 | "The alley narrowed, the walls" | | 18 | "The suspect ahead seemed less" | | 19 | "Quinn surged forward, ignoring the" |
| | ratio | 0.841 | |
| 56.82% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 88 | | matches | | 0 | "Yet, beneath her persistent drive," |
| | ratio | 0.011 | |
| 96.02% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 61 | | technicalSentenceCount | 4 | | matches | | 0 | "Rain pelted the pavement in bursts, a rhythmic drumming that matched the rapid cadence of Detective Harlow Quinn’s heartbeat." | | 1 | "Without her even asking, he produced a weathered bone token from his pocket, tossing it to her." | | 2 | "They wove through enchantments that simmered on the edges of reality, torches casting miraculous shadows in their wake." | | 3 | "With a renewed display of relentless tenacity, Detective Harlow Quinn had notched another victory in a world that blurred the boundaries of reality, supported b…" |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "Herrera’s voice sliced, urgent" | | 1 | "she lunged, voice cracking with authority" |
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| 44.74% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn barked (bark)" | | 1 | "Quinn growled (growl)" |
| | dialogueSentences | 19 | | tagDensity | 0.105 | | leniency | 0.211 | | rawRatio | 1 | | effectiveRatio | 0.211 | |