| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1156 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 17.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1156 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "weight" | | 1 | "electric" | | 2 | "rhythmic" | | 3 | "depths" | | 4 | "standard" | | 5 | "gloom" | | 6 | "echoing" | | 7 | "silence" | | 8 | "constructed" | | 9 | "velvet" | | 10 | "intricate" | | 11 | "lilt" | | 12 | "charm" | | 13 | "pulse" | | 14 | "pulsed" | | 15 | "familiar" |
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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 | 74 | | matches | (empty) | |
| 65.64% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 74 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 1153 | | ratio | 0.003 | | matches | | 0 | "DS Morris. 2021." 1/1/2021, 12:00:00 AM |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 967 | | uniqueNames | 15 | | maxNameDensity | 0.72 | | worstName | "Harlow" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Tomás" | | discoveredNames | | Soho | 1 | | London | 3 | | Raven | 1 | | Nest | 1 | | Morris | 2 | | Tube | 2 | | Veil | 1 | | Market | 1 | | Met | 1 | | Camden | 1 | | Herrera | 1 | | Tomás | 3 | | Saint | 1 | | Christopher | 1 | | Harlow | 7 |
| | persons | | 0 | "Morris" | | 1 | "Camden" | | 2 | "Herrera" | | 3 | "Tomás" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Harlow" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.867 | | wordCount | 1153 | | matches | | 0 | "not toward the tunnel, but directly into the open, dark pit behind him" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 30.34 | | std | 19.57 | | cv | 0.645 | | sampleLengths | | 0 | 73 | | 1 | 55 | | 2 | 39 | | 3 | 2 | | 4 | 43 | | 5 | 54 | | 6 | 44 | | 7 | 11 | | 8 | 25 | | 9 | 56 | | 10 | 71 | | 11 | 65 | | 12 | 15 | | 13 | 20 | | 14 | 19 | | 15 | 20 | | 16 | 14 | | 17 | 26 | | 18 | 17 | | 19 | 14 | | 20 | 9 | | 21 | 22 | | 22 | 26 | | 23 | 61 | | 24 | 33 | | 25 | 14 | | 26 | 37 | | 27 | 18 | | 28 | 26 | | 29 | 4 | | 30 | 16 | | 31 | 67 | | 32 | 9 | | 33 | 20 | | 34 | 34 | | 35 | 37 | | 36 | 17 | | 37 | 20 |
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| 95.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 74 | | matches | | 0 | "was recorded" | | 1 | "was inscribed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 168 | | matches | | 0 | "wasn't entering" | | 1 | "was standing" |
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| 12.99% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 88 | | ratio | 0.045 | | matches | | 0 | "But the suspect had already vanished into the gloom, a faint metallic clink echoing from the staircase—the sound of a bone token hitting a turnstile." | | 1 | "The place defied physics; the platform seemed to extend into an infinite, cavernous dark that swallowed the light from the hanging, amber lanterns." | | 2 | "He was standing near the edge of a deep, dark shaft, holding something aloft—a thin, jagged shard of obsidian that drank the light from the lanterns." | | 3 | "The air ripped open—a jagged, luminous tear in reality that pulsed with the sound of a thousand screaming voices." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 973 | | adjectiveStacks | 1 | | stackExamples | | 0 | "stagnant, metallic-scented air." |
| | adverbCount | 15 | | adverbRatio | 0.015416238437821172 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0051387461459403904 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 13.1 | | std | 7.48 | | cv | 0.571 | | sampleLengths | | 0 | 20 | | 1 | 24 | | 2 | 5 | | 3 | 24 | | 4 | 10 | | 5 | 18 | | 6 | 3 | | 7 | 24 | | 8 | 15 | | 9 | 2 | | 10 | 15 | | 11 | 7 | | 12 | 2 | | 13 | 17 | | 14 | 5 | | 15 | 21 | | 16 | 7 | | 17 | 12 | | 18 | 4 | | 19 | 5 | | 20 | 5 | | 21 | 21 | | 22 | 12 | | 23 | 6 | | 24 | 26 | | 25 | 9 | | 26 | 2 | | 27 | 25 | | 28 | 2 | | 29 | 20 | | 30 | 16 | | 31 | 18 | | 32 | 4 | | 33 | 15 | | 34 | 13 | | 35 | 16 | | 36 | 23 | | 37 | 4 | | 38 | 23 | | 39 | 2 | | 40 | 13 | | 41 | 23 | | 42 | 15 | | 43 | 20 | | 44 | 19 | | 45 | 20 | | 46 | 14 | | 47 | 20 | | 48 | 6 | | 49 | 17 |
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| 67.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4367816091954023 | | totalSentences | 87 | | uniqueOpeners | 38 | |
| 98.04% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 68 | | matches | | 0 | "Even the bravest beat cops" | | 1 | "Instead of falling, he hovered," |
| | ratio | 0.029 | |
| 78.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 68 | | matches | | 0 | "She didn't check her pace." | | 1 | "Her lungs burned with the" | | 2 | "She didn’t hesitate." | | 3 | "She gritted her teeth, her" | | 4 | "It led down, spiraling into" | | 5 | "She knew these tunnels." | | 6 | "She stood at the threshold," | | 7 | "she muttered to the shadows" | | 8 | "Her boots clicked against the" | | 9 | "She reached the bottom." | | 10 | "He looked up, his warm" | | 11 | "he said, his voice a" | | 12 | "He jerked his chin toward" | | 13 | "He sighed, the sound sharp" | | 14 | "She stalked past him, toward" | | 15 | "She caught sight of the" | | 16 | "He was standing near the" | | 17 | "she shouted, her voice echoing" | | 18 | "His eyes weren't human." | | 19 | "They were vast, swirling pools" |
| | ratio | 0.353 | |
| 4.12% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 68 | | matches | | 0 | "Harlow swung her heavy body" | | 1 | "The suspect was a shadow" | | 2 | "She didn't check her pace." | | 3 | "Her lungs burned with the" | | 4 | "The suspect whipped around a" | | 5 | "Harlow caught a glimpse of" | | 6 | "She didn’t hesitate." | | 7 | "A quick scan revealed the" | | 8 | "She gritted her teeth, her" | | 9 | "The air tasted of ozone" | | 10 | "The command bounced off the" | | 11 | "The suspect didn't even turn." | | 12 | "A lock clicked, a heavy" | | 13 | "Harlow arrived at the opening," | | 14 | "It led down, spiraling into" | | 15 | "She knew these tunnels." | | 16 | "This wasn't standard Tube maintenance." | | 17 | "The geometry seemed wrong, the" | | 18 | "She stood at the threshold," | | 19 | "she muttered to the shadows" |
| | ratio | 0.912 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 9.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 8 | | matches | | 0 | "The geometry seemed wrong, the walls too smooth, shimmering with a faint, iridescent film that shouldn't exist in a London sewer." | | 1 | "The air grew thicker, heavy with the scent of dried herbs, ozone, and something copper that made her teeth ache." | | 2 | "The light from the street diminished, replaced by a flickering, bioluminescent moss that clung to the damp piping." | | 3 | "The place defied physics; the platform seemed to extend into an infinite, cavernous dark that swallowed the light from the hanging, amber lanterns." | | 4 | "He was standing near the edge of a deep, dark shaft, holding something aloft—a thin, jagged shard of obsidian that drank the light from the lanterns." | | 5 | "They were vast, swirling pools of brown ink that bled into the white, void of any discernible iris." | | 6 | "He smiled, a jagged, unnatural expression that stretched the skin too far." | | 7 | "Shadows detached themselves from the walls, elongated, monstrous things that drifted toward her with hungry, rhythmic intent." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 4 | | matches | | 0 | "he said, his voice a rhythmic, melodic lilt" | | 1 | "she shouted, her voice echoing into the vast, hollow chamber" | | 2 | "he hissed, his voice sounding like dry leaves skittering over pavement" | | 3 | "the man laughed, his voice distorting into a dissonant, screeching harmony" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 5 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she shouted (shout)" | | 2 | "he hissed (hiss)" | | 3 | "the man laughed (laugh)" | | 4 | "the floating man whispered (whisper)" |
| | dialogueSentences | 21 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.833 | | effectiveRatio | 0.476 | |