| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.184 | | leniency | 0.368 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.95% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1246 | | totalAiIsmAdverbs | 4 | | 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) | |
| 23.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1246 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "porcelain" | | 1 | "gloom" | | 2 | "echoing" | | 3 | "etched" | | 4 | "scanning" | | 5 | "furrowed" | | 6 | "weight" | | 7 | "silence" | | 8 | "intricate" | | 9 | "standard" | | 10 | "rhythmic" | | 11 | "raced" | | 12 | "could feel" | | 13 | "wavered" | | 14 | "flickered" | | 15 | "resolve" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
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| | highlights | | 0 | "the weight of the silence" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 92 | | matches | (empty) | |
| 65.22% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 92 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 123 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 1246 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 898 | | uniqueNames | 7 | | maxNameDensity | 1.45 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Tube | 1 | | Harlow | 1 | | Quinn | 13 | | Miller | 6 | | North | 1 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Miller" | | 3 | "Morris" |
| | places | (empty) | | globalScore | 0.776 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 1 | | matches | | 0 | "sigils that seemed to writhe when the light hit them at an angle" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.803 | | wordCount | 1246 | | matches | | 0 | "not by heat, but by something" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 123 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 21.12 | | std | 14.42 | | cv | 0.683 | | sampleLengths | | 0 | 10 | | 1 | 28 | | 2 | 16 | | 3 | 35 | | 4 | 3 | | 5 | 16 | | 6 | 46 | | 7 | 8 | | 8 | 10 | | 9 | 49 | | 10 | 7 | | 11 | 12 | | 12 | 41 | | 13 | 47 | | 14 | 47 | | 15 | 4 | | 16 | 19 | | 17 | 21 | | 18 | 8 | | 19 | 54 | | 20 | 26 | | 21 | 16 | | 22 | 10 | | 23 | 44 | | 24 | 13 | | 25 | 24 | | 26 | 32 | | 27 | 26 | | 28 | 6 | | 29 | 39 | | 30 | 6 | | 31 | 25 | | 32 | 32 | | 33 | 3 | | 34 | 4 | | 35 | 36 | | 36 | 34 | | 37 | 3 | | 38 | 2 | | 39 | 6 | | 40 | 7 | | 41 | 2 | | 42 | 38 | | 43 | 32 | | 44 | 27 | | 45 | 10 | | 46 | 20 | | 47 | 22 | | 48 | 24 | | 49 | 26 |
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| 78.57% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 7 | | totalSentences | 92 | | matches | | 0 | "were caked" | | 1 | "were etched" | | 2 | "been used" | | 3 | "were curled" | | 4 | "was etched" | | 5 | "were cauterised" | | 6 | "being dragged" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 144 | | matches | | 0 | "wasn't pointing" | | 1 | "wasn't pointing" | | 2 | "was spinning" | | 3 | "were breathing" | | 4 | "weren't just moving" |
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| 49.94% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 4 | | flaggedSentences | 4 | | totalSentences | 123 | | ratio | 0.033 | | matches | | 0 | "It wasn't the absence of sound; it was a heavy, pressurized thing that pressed against her eardrums." | | 1 | "The edges weren't just smooth; they were cauterised, not by heat, but by something that had bypassed the physical state of the flesh entirely." | | 2 | "They weren't just moving; they were breathing." | | 3 | "It didn't run; it flowed across the platform like a wave of black bile." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 516 | | adjectiveStacks | 1 | | stackExamples | | 0 | "dried, copper-scented gore." |
| | adverbCount | 10 | | adverbRatio | 0.01937984496124031 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.003875968992248062 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 123 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 123 | | mean | 10.13 | | std | 6.61 | | cv | 0.652 | | sampleLengths | | 0 | 10 | | 1 | 18 | | 2 | 10 | | 3 | 16 | | 4 | 16 | | 5 | 9 | | 6 | 10 | | 7 | 3 | | 8 | 16 | | 9 | 2 | | 10 | 18 | | 11 | 9 | | 12 | 17 | | 13 | 8 | | 14 | 10 | | 15 | 11 | | 16 | 4 | | 17 | 2 | | 18 | 14 | | 19 | 5 | | 20 | 13 | | 21 | 7 | | 22 | 12 | | 23 | 26 | | 24 | 15 | | 25 | 13 | | 26 | 34 | | 27 | 9 | | 28 | 17 | | 29 | 3 | | 30 | 8 | | 31 | 3 | | 32 | 7 | | 33 | 4 | | 34 | 19 | | 35 | 21 | | 36 | 8 | | 37 | 14 | | 38 | 7 | | 39 | 12 | | 40 | 15 | | 41 | 6 | | 42 | 14 | | 43 | 12 | | 44 | 10 | | 45 | 6 | | 46 | 10 | | 47 | 13 | | 48 | 31 | | 49 | 6 |
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| 37.94% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3008130081300813 | | totalSentences | 123 | | uniqueOpeners | 37 | |
| 38.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 86 | | matches | | 0 | "Then came the screaming." |
| | ratio | 0.012 | |
| 52.56% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 86 | | matches | | 0 | "She ignored the slick, iridescent" | | 1 | "Her eyes remained fixed on" | | 2 | "Her sharp jaw tightened as" | | 3 | "She didn't touch him." | | 4 | "She studied the way the" | | 5 | "It didn't pool like liquid." | | 6 | "It sat in heavy, jagged" | | 7 | "She leaned in." | | 8 | "They weren't graffiti." | | 9 | "She knew the geography of" | | 10 | "It wasn't a matter of" | | 11 | "She turned away from the" | | 12 | "She felt the weight of" | | 13 | "It wasn't the absence of" | | 14 | "She stopped at the victim's" | | 15 | "His fingers were curled, clawing" | | 16 | "It was a small, brass" | | 17 | "She didn't pick it up." | | 18 | "She observed the needle through" | | 19 | "It wasn't pointing North." |
| | ratio | 0.419 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 81 | | totalSentences | 86 | | matches | | 0 | "The beam of the heavy" | | 1 | "Dust motes danced like tiny," | | 2 | "Detective Harlow Quinn stepped over" | | 3 | "She ignored the slick, iridescent" | | 4 | "Her eyes remained fixed on" | | 5 | "The movement was precise, a" | | 6 | "Her sharp jaw tightened as" | | 7 | "A man lay sprawled in" | | 8 | "Quinn reached out, her fingers" | | 9 | "She didn't touch him." | | 10 | "She studied the way the" | | 11 | "It didn't pool like liquid." | | 12 | "It sat in heavy, jagged" | | 13 | "Quinn pointed a gloved finger" | | 14 | "Miller sighed, the sound echoing" | | 15 | "Quinn stood up, her gaze" | | 16 | "The tiles were caked in" | | 17 | "She leaned in." | | 18 | "They weren't graffiti." | | 19 | "The lines were too precise," |
| | ratio | 0.942 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 1 | | matches | | 0 | "It sat in heavy, jagged clumps, as if the viscosity had changed mid-flow." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn said, her voice dropping an octave" | | 1 | "Quinn reached down, her movements cautious" | | 2 | "Miller shouted, his voice cracking" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Miller shouted (shout)" |
| | dialogueSentences | 38 | | tagDensity | 0.053 | | leniency | 0.105 | | rawRatio | 0.5 | | effectiveRatio | 0.053 | |