| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.393 | | leniency | 0.786 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1399 | | totalAiIsmAdverbs | 2 | | 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) | |
| 24.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1399 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "measured" | | 1 | "rhythmic" | | 2 | "echoed" | | 3 | "gloom" | | 4 | "weight" | | 5 | "standard" | | 6 | "silk" | | 7 | "stomach" | | 8 | "perfect" | | 9 | "swept away" | | 10 | "footsteps" | | 11 | "scanned" | | 12 | "glint" | | 13 | "etched" | | 14 | "intricate" | | 15 | "maw" | | 16 | "vibrated" | | 17 | "depths" |
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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 | 83 | | matches | (empty) | |
| 74.01% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 83 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1395 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 67.48% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1030 | | uniqueNames | 15 | | maxNameDensity | 1.65 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Tube | 1 | | Harlow | 1 | | Quinn | 17 | | Detective | 2 | | Sergeant | 1 | | Aris | 8 | | Tuesday | 1 | | Metropolitan | 1 | | Police | 1 | | Morris | 1 | | North | 1 | | London | 1 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sergeant" | | 3 | "Aris" | | 4 | "Police" | | 5 | "Morris" |
| | places | | | globalScore | 0.675 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 5 | | matches | | 0 | "smelled like a thunderstorm held captive i" | | 1 | "looked like dried moss" | | 2 | "symbols that seemed to shift and writhe if she looked at them too long" | | 3 | "blur that seemed to be searching for something that wasn't there" | | 4 | "as if reacting to her touch, the needle suddenly snapped into place" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.717 | | wordCount | 1395 | | matches | | 0 | "not by wind or footsteps, but as if by an invisible weight pressing down from above" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 36.71 | | std | 20.83 | | cv | 0.567 | | sampleLengths | | 0 | 86 | | 1 | 24 | | 2 | 7 | | 3 | 35 | | 4 | 46 | | 5 | 64 | | 6 | 38 | | 7 | 71 | | 8 | 46 | | 9 | 59 | | 10 | 23 | | 11 | 12 | | 12 | 8 | | 13 | 67 | | 14 | 49 | | 15 | 25 | | 16 | 7 | | 17 | 61 | | 18 | 39 | | 19 | 27 | | 20 | 6 | | 21 | 66 | | 22 | 16 | | 23 | 56 | | 24 | 12 | | 25 | 24 | | 26 | 34 | | 27 | 53 | | 28 | 13 | | 29 | 30 | | 30 | 4 | | 31 | 35 | | 32 | 56 | | 33 | 32 | | 34 | 45 | | 35 | 28 | | 36 | 46 | | 37 | 45 |
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| 92.58% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 83 | | matches | | 0 | "was crouched" | | 1 | "been swept" | | 2 | "was etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 170 | | matches | | 0 | "wasn't pointing" | | 1 | "was spinning" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 3 | | flaggedSentences | 7 | | totalSentences | 100 | | ratio | 0.07 | | matches | | 0 | "She didn't mind the gloom; the dark was honest." | | 1 | "Instead, there was a scent that made the hair on her arms stand up—a scent like scorched earth and something ancient, something that smelled like a thunderstorm held captive in a jar." | | 2 | "But it wasn't the age that caught her attention; it was the face." | | 3 | "Instead of cardinal directions, the dial was etched with intricate, swirling sigils—symbols that seemed to shift and writhe if she looked at them too long." | | 4 | "The geometry of the blood, the absence of struggle, the scent of ozone, and the sudden, violent presence of this object—it all pointed to a single, terrifying conclusion." | | 5 | "She thought of the rumors she'd heard in the darker corners of the precinct—whispers of a market that moved through the veins of London, a place that appeared and vanished with the moon." | | 6 | "The hunt hadn't just begun; she had just stepped through the door." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1036 | | adjectiveStacks | 1 | | stackExamples | | 0 | "tiny, jagged geometric shapes," |
| | adverbCount | 29 | | adverbRatio | 0.027992277992277992 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006756756756756757 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 13.95 | | std | 9.12 | | cv | 0.654 | | sampleLengths | | 0 | 18 | | 1 | 20 | | 2 | 31 | | 3 | 9 | | 4 | 8 | | 5 | 24 | | 6 | 7 | | 7 | 21 | | 8 | 14 | | 9 | 11 | | 10 | 16 | | 11 | 19 | | 12 | 8 | | 13 | 11 | | 14 | 45 | | 15 | 8 | | 16 | 14 | | 17 | 16 | | 18 | 6 | | 19 | 10 | | 20 | 6 | | 21 | 5 | | 22 | 44 | | 23 | 9 | | 24 | 11 | | 25 | 26 | | 26 | 3 | | 27 | 6 | | 28 | 7 | | 29 | 11 | | 30 | 32 | | 31 | 12 | | 32 | 11 | | 33 | 7 | | 34 | 5 | | 35 | 3 | | 36 | 5 | | 37 | 3 | | 38 | 16 | | 39 | 11 | | 40 | 20 | | 41 | 7 | | 42 | 10 | | 43 | 7 | | 44 | 17 | | 45 | 25 | | 46 | 11 | | 47 | 14 | | 48 | 7 | | 49 | 8 |
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| 49.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.35 | | totalSentences | 100 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 81 | | matches | | 0 | "Instead, there was a scent" | | 1 | "Instead of cardinal directions, the" | | 2 | "Then, as if reacting to" |
| | ratio | 0.037 | |
| 47.16% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 81 | | matches | | 0 | "She didn't mind the gloom;" | | 1 | "It didn't pretend to be" | | 2 | "He looked tired, his shoulders" | | 3 | "She adjusted the worn leather" | | 4 | "He gestured toward the body" | | 5 | "His face was a mask" | | 6 | "She knelt beside the man," | | 7 | "She didn't look at the" | | 8 | "She looked at the wounds." | | 9 | "He pointed to a small," | | 10 | "She leaned closer, her nostrils" | | 11 | "She reached out, her gloved" | | 12 | "She was right." | | 13 | "It had formed tiny, jagged" | | 14 | "It defied the laws of" | | 15 | "It defied everything the Metropolitan" | | 16 | "It was the same feeling" | | 17 | "She shifted her gaze to" | | 18 | "Her gaze snagged on a" | | 19 | "She moved toward it, her" |
| | ratio | 0.432 | |
| 27.90% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 81 | | matches | | 0 | "The descent into the abandoned" | | 1 | "The air grew heavy, thick" | | 2 | "Detective Harlow Quinn moved down" | | 3 | "She didn't mind the gloom;" | | 4 | "It didn't pretend to be" | | 5 | "a voice called out" | | 6 | "Detective Sergeant Aris was crouched" | | 7 | "He looked tired, his shoulders" | | 8 | "Quinn stepped into the light," | | 9 | "She adjusted the worn leather" | | 10 | "Aris stood, wiping his hands" | | 11 | "He gestured toward the body" | | 12 | "Quinn approached the body, her" | | 13 | "The victim lay on his" | | 14 | "His face was a mask" | | 15 | "Quinn asked, her voice low" | | 16 | "She knelt beside the man," | | 17 | "She didn't look at the" | | 18 | "She looked at the wounds." | | 19 | "Aris countered, stepping closer" |
| | ratio | 0.864 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 10 | | matches | | 0 | "Detective Harlow Quinn moved down the rusted iron staircase with a measured, military precision, her boots striking the metal with a rhythmic, hollow clank that…" | | 1 | "She adjusted the worn leather watch on her left wrist, a subconscious habit that grounded her." | | 2 | "Instead, there was a scent that made the hair on her arms stand up—a scent like scorched earth and something ancient, something that smelled like a thunderstorm…" | | 3 | "The edges of the spill were sharp, almost serrated, as if the liquid had frozen mid-flow into a fractal pattern." | | 4 | "In a perfect circle around the body, the dust had been swept away, not by wind or footsteps, but as if by an invisible weight pressing down from above." | | 5 | "The casing was weathered, coated in a fine patina of verdigris that looked like dried moss." | | 6 | "But it wasn't the age that caught her attention; it was the face." | | 7 | "Instead of cardinal directions, the dial was etched with intricate, swirling sigils—symbols that seemed to shift and writhe if she looked at them too long." | | 8 | "It was spinning erratically, a frantic, silver blur that seemed to be searching for something that wasn't there." | | 9 | "Aris stared at her as if she’d lost her mind." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 4 | | matches | | 0 | "Quinn asked, her voice low" | | 1 | "Aris said, though his voice lacked conviction" | | 2 | "Aris demanded, his patience fraying" | | 3 | "Quinn ordered, her voice regaining its hard, authoritative edge" |
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| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 4 | | fancyTags | | 0 | "Quinn whispered (whisper)" | | 1 | "Quinn snapped (snap)" | | 2 | "Aris demanded (demand)" | | 3 | "Quinn ordered (order)" |
| | dialogueSentences | 28 | | tagDensity | 0.321 | | leniency | 0.643 | | rawRatio | 0.444 | | effectiveRatio | 0.286 | |