| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 32 | | tagDensity | 0.438 | | leniency | 0.875 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.52% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1583 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slowly" | | 1 | "tightly" | | 2 | "sharply" |
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| 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) | |
| 39.99% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1583 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "silence" | | 1 | "whisper" | | 2 | "constructed" | | 3 | "velvet" | | 4 | "gloom" | | 5 | "variables" | | 6 | "intensity" | | 7 | "familiar" | | 8 | "cataloged" | | 9 | "structure" | | 10 | "weight" | | 11 | "etched" | | 12 | "magnetic" | | 13 | "raced" | | 14 | "palpable" | | 15 | "could feel" |
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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 | 129 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 129 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 147 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1582 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 1 | | matches | | 0 | "Behind her, Kael stammered, confused and useless." |
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| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 1302 | | uniqueNames | 10 | | maxNameDensity | 1.77 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 3 | | Quinn | 23 | | Tube | 1 | | Northern | 1 | | Line | 1 | | Morris | 3 | | Camden | 1 | | Kael | 13 | | North | 1 | | Detective | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Kael" |
| | places | | | globalScore | 0.617 | | windowScore | 0.333 | |
| 95.05% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 91 | | glossingSentenceCount | 2 | | matches | | 0 | "thread that seemed to shift when her gaze slid away" | | 1 | "as if coming from the end of a long tunnel" |
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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 | 1582 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 147 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 34.39 | | std | 25.66 | | cv | 0.746 | | sampleLengths | | 0 | 96 | | 1 | 72 | | 2 | 8 | | 3 | 79 | | 4 | 2 | | 5 | 39 | | 6 | 15 | | 7 | 94 | | 8 | 23 | | 9 | 56 | | 10 | 38 | | 11 | 23 | | 12 | 5 | | 13 | 12 | | 14 | 70 | | 15 | 39 | | 16 | 14 | | 17 | 20 | | 18 | 5 | | 19 | 3 | | 20 | 33 | | 21 | 4 | | 22 | 85 | | 23 | 9 | | 24 | 71 | | 25 | 20 | | 26 | 6 | | 27 | 31 | | 28 | 39 | | 29 | 53 | | 30 | 26 | | 31 | 31 | | 32 | 22 | | 33 | 18 | | 34 | 39 | | 35 | 36 | | 36 | 71 | | 37 | 58 | | 38 | 15 | | 39 | 8 | | 40 | 44 | | 41 | 38 | | 42 | 31 | | 43 | 49 | | 44 | 7 | | 45 | 25 |
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| 91.66% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 129 | | matches | | 0 | "was frayed" | | 1 | "was relaxed" | | 2 | "were clasped" | | 3 | "was etched" | | 4 | "was focused" | | 5 | "been stopped" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 15 | | totalVerbs | 222 | | matches | | 0 | "was clutching" | | 1 | "wasn't pointing" | | 2 | "wasn't pointing" | | 3 | "was reacting" | | 4 | "was quivering" | | 5 | "weren't falling" | | 6 | "were spiraling" | | 7 | "was homing" | | 8 | "was pointing" | | 9 | "were lengthening" | | 10 | "was hunting" | | 11 | "was waiting" | | 12 | "was looking" | | 13 | "wasn't just running" | | 14 | "were running" |
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| 45.68% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 4 | | flaggedSentences | 5 | | totalSentences | 147 | | ratio | 0.034 | | matches | | 0 | "\"You see a junkie; I see a vendor.\"" | | 1 | "\"No defensive wounds. No sign of forced entry. The goods aren't scattered by a fight; they're scattered by a displacement.\"" | | 2 | "The darkness didn't just hang; it pooled in specific geometric patterns, converging on a patch of graffiti-tagged wall behind the victim's head." | | 3 | "Her fingers passed through empty air, but the resistance was palpable—a gelatinous thickness, like pushing through cold syrup." | | 4 | "The compass wasn't broken; it was homing." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1309 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.024446142093200916 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.008403361344537815 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 147 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 147 | | mean | 10.76 | | std | 7.45 | | cv | 0.692 | | sampleLengths | | 0 | 21 | | 1 | 21 | | 2 | 16 | | 3 | 22 | | 4 | 16 | | 5 | 15 | | 6 | 26 | | 7 | 18 | | 8 | 13 | | 9 | 4 | | 10 | 4 | | 11 | 15 | | 12 | 14 | | 13 | 15 | | 14 | 8 | | 15 | 8 | | 16 | 19 | | 17 | 2 | | 18 | 11 | | 19 | 15 | | 20 | 13 | | 21 | 6 | | 22 | 8 | | 23 | 1 | | 24 | 13 | | 25 | 19 | | 26 | 23 | | 27 | 39 | | 28 | 2 | | 29 | 6 | | 30 | 7 | | 31 | 8 | | 32 | 11 | | 33 | 6 | | 34 | 3 | | 35 | 11 | | 36 | 8 | | 37 | 17 | | 38 | 4 | | 39 | 14 | | 40 | 20 | | 41 | 7 | | 42 | 16 | | 43 | 5 | | 44 | 8 | | 45 | 4 | | 46 | 21 | | 47 | 3 | | 48 | 22 | | 49 | 24 |
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| 43.99% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.3333333333333333 | | totalSentences | 147 | | uniqueOpeners | 49 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 118 | | matches | (empty) | | ratio | 0 | |
| 70.85% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 118 | | matches | | 0 | "Her boot heel clicked against" | | 1 | "She adjusted the bone token" | | 2 | "She'd lifted it from a" | | 3 | "It was a market." | | 4 | "Her jaw, sharp as a" | | 5 | "He was a good cop," | | 6 | "He held his forensics pouch" | | 7 | "She moved in, her eyes" | | 8 | "His face was relaxed, eyes" | | 9 | "Her knees popped, a familiar" | | 10 | "She ignored it, leaning over" | | 11 | "She pointed to the arrangement" | | 12 | "She ran a gloved finger" | | 13 | "She turned slowly." | | 14 | "Her attention snapped back to" | | 15 | "She used the tip of" | | 16 | "It was a compass." | | 17 | "She wiped the face with" | | 18 | "She dismissed the thought." | | 19 | "She didn't indulge ghosts." |
| | ratio | 0.373 | |
| 15.08% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 105 | | totalSentences | 118 | | matches | | 0 | "Detective Harlow Quinn stepped over" | | 1 | "Her boot heel clicked against" | | 2 | "The leather was frayed at" | | 3 | "She adjusted the bone token" | | 4 | "She'd lifted it from a" | | 5 | "The token had opened the" | | 6 | "The station wasn't empty." | | 7 | "It was a market." | | 8 | "Stalls constructed from scavenged railway" | | 9 | "Shadows stretched too long, detaching" | | 10 | "The smell of burning sage" | | 11 | "Harlow Quinn didn't like variables" | | 12 | "Her jaw, sharp as a" | | 13 | "This was the vein she'd" | | 14 | "DS Kael waited by the" | | 15 | "He was a good cop," | | 16 | "He held his forensics pouch" | | 17 | "Quinn said, her voice low" | | 18 | "She moved in, her eyes" | | 19 | "Kael gestured with his chin" |
| | ratio | 0.89 | |
| 84.75% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 118 | | matches | | 0 | "Now, standing in the belly" | | 1 | "If she walked away, the" |
| | ratio | 0.017 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 3 | | matches | | 0 | "Detective Harlow Quinn stepped over the yellow tape with the economy of motion that had defined her career for eighteen years." | | 1 | "She'd lifted it from a suspect's jacket an hour ago, a desperate gamble based on a whisper from an informant who'd wet himself before he'd spoken." | | 2 | "Glass vials containing liquids that glowed with a faint, internal luminescence." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 5 | | matches | | 0 | "Quinn said, her voice low" | | 1 | "Quinn stood, her military posture rigid" | | 2 | "Kael's voice sounded, as if coming from the end of a long tunnel" | | 3 | "Quinn whispered, her voice trembling with the adrenaline of discovery" | | 4 | "Quinn said, her voice regaining its steel" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 6 | | fancyTags | | 0 | "Quinn murmured (murmur)" | | 1 | "Quinn snapped (snap)" | | 2 | "Quinn ordered (order)" | | 3 | "Kael concluded (conclude)" | | 4 | "Quinn corrected (correct)" | | 5 | "Quinn whispered (whisper)" |
| | dialogueSentences | 32 | | tagDensity | 0.313 | | leniency | 0.625 | | rawRatio | 0.6 | | effectiveRatio | 0.375 | |