| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "She turned back [back]" |
| | dialogueSentences | 36 | | tagDensity | 0.472 | | leniency | 0.944 | | rawRatio | 0.059 | | effectiveRatio | 0.056 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1135 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 16.30% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1135 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "fractured" | | 1 | "echoing" | | 2 | "traced" | | 3 | "etched" | | 4 | "whisper" | | 5 | "tracing" | | 6 | "eyebrow" | | 7 | "trembled" | | 8 | "warmth" | | 9 | "reverberated" | | 10 | "scanned" | | 11 | "flicked" | | 12 | "gloom" | | 13 | "crystal" | | 14 | "glinting" | | 15 | "measured" |
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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 | 87 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 87 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1120 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 77.27% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 825 | | uniqueNames | 5 | | maxNameDensity | 1.45 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Patel" | | discoveredNames | | Quinn | 12 | | Tube | 2 | | Patel | 12 | | Kowalski | 1 | | Eva | 7 |
| | persons | | 0 | "Quinn" | | 1 | "Patel" | | 2 | "Kowalski" | | 3 | "Eva" |
| | places | (empty) | | globalScore | 0.773 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1120 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 98.22% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 46.67 | | std | 23.04 | | cv | 0.494 | | sampleLengths | | 0 | 70 | | 1 | 42 | | 2 | 67 | | 3 | 31 | | 4 | 50 | | 5 | 42 | | 6 | 71 | | 7 | 68 | | 8 | 8 | | 9 | 40 | | 10 | 58 | | 11 | 8 | | 12 | 56 | | 13 | 36 | | 14 | 67 | | 15 | 9 | | 16 | 45 | | 17 | 48 | | 18 | 27 | | 19 | 15 | | 20 | 71 | | 21 | 28 | | 22 | 66 | | 23 | 97 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 163 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 105 | | ratio | 0.067 | | matches | | 0 | "Her watch face glinted in the beam—leather band worn soft, its hands still ticking with steady precision." | | 1 | "Only the corpse—man in his thirties, face upturned, jaw slack and eyes glassy." | | 2 | "Quinn crouched lower, traced a scar across the man’s wrist—clean slice, angled just so." | | 3 | "Fingertip pressed the flesh—crumbled like paper." | | 4 | "A flake broke free—tiny metallic shards glittering under the torch." | | 5 | "The wall opposite showed no sign of damage—just smeared graffiti and seepage stains." | | 6 | "Her torch caught the edge of the crack again—tiny crystal veins glinting." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 836 | | adjectiveStacks | 1 | | stackExamples | | 0 | "free—tiny metallic shards" |
| | adverbCount | 21 | | adverbRatio | 0.025119617224880382 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0035885167464114833 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 10.67 | | std | 6.33 | | cv | 0.593 | | sampleLengths | | 0 | 14 | | 1 | 15 | | 2 | 24 | | 3 | 17 | | 4 | 12 | | 5 | 19 | | 6 | 7 | | 7 | 4 | | 8 | 4 | | 9 | 8 | | 10 | 4 | | 11 | 4 | | 12 | 13 | | 13 | 6 | | 14 | 19 | | 15 | 9 | | 16 | 10 | | 17 | 13 | | 18 | 8 | | 19 | 10 | | 20 | 14 | | 21 | 14 | | 22 | 8 | | 23 | 4 | | 24 | 11 | | 25 | 6 | | 26 | 21 | | 27 | 4 | | 28 | 10 | | 29 | 12 | | 30 | 6 | | 31 | 6 | | 32 | 23 | | 33 | 14 | | 34 | 10 | | 35 | 17 | | 36 | 15 | | 37 | 14 | | 38 | 12 | | 39 | 2 | | 40 | 6 | | 41 | 10 | | 42 | 14 | | 43 | 9 | | 44 | 7 | | 45 | 6 | | 46 | 7 | | 47 | 5 | | 48 | 7 | | 49 | 10 |
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| 65.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4095238095238095 | | totalSentences | 105 | | uniqueOpeners | 43 | |
| 83.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 80 | | matches | | 0 | "Only the corpse—man in his" | | 1 | "Then she stood and met" |
| | ratio | 0.025 | |
| 45.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 80 | | matches | | 0 | "She stepped off the embankment" | | 1 | "Her watch face glinted in" | | 2 | "He drew a slow finger" | | 3 | "he offered, back straightening" | | 4 | "She tilted her head, searching" | | 5 | "She brushed away a bead" | | 6 | "He held it to the" | | 7 | "He uncorked it, cupped the" | | 8 | "She tilted the body’s head," | | 9 | "She tapped a fingertip on" | | 10 | "She knelt on the opposite" | | 11 | "she said, voice pitched just" | | 12 | "she murmured, tracing the lines" | | 13 | "She tapped the chalk" | | 14 | "She scraped a fingertip over" | | 15 | "She pulled her thumbnail across" | | 16 | "She held them aloft." | | 17 | "she declared, eyebrow lifting" | | 18 | "She ran a fingertip through" | | 19 | "It left a faint stain" |
| | ratio | 0.438 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 80 | | matches | | 0 | "Detective Quinn’s torch flared against" | | 1 | "She stepped off the embankment" | | 2 | "The stench of rust and" | | 3 | "Her watch face glinted in" | | 4 | "He drew a slow finger" | | 5 | "he offered, back straightening" | | 6 | "Quinn regarded the circle." | | 7 | "Quinn crouched, boots brushing the" | | 8 | "She tilted her head, searching" | | 9 | "Patel knelt opposite, flicking his" | | 10 | "A drip of water spattered" | | 11 | "Quinn crouched lower, traced a" | | 12 | "She brushed away a bead" | | 13 | "Patel fished a small phial" | | 14 | "He held it to the" | | 15 | "He uncorked it, cupped the" | | 16 | "Quinn slid a knee closer," | | 17 | "She tilted the body’s head," | | 18 | "Fingertip pressed the flesh—crumbled like" | | 19 | "She tapped a fingertip on" |
| | ratio | 0.875 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 2 | | matches | | 0 | "The stench of rust and stale breath of air pressed in, as though the old Tube station remembered every soul who’d vanished down here." | | 1 | "Beneath her fingers, she felt a warmth, a faint hum that reverberated through her bones." |
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| 95.59% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, voice pitched just above a whisper" |
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| 11.11% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 5 | | fancyTags | | 0 | "she observed (observe)" | | 1 | "she murmured (murmur)" | | 2 | "she declared (declare)" | | 3 | "she noted (note)" | | 4 | "she stated (state)" |
| | dialogueSentences | 36 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.625 | | effectiveRatio | 0.278 | |