| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "she snapped back [back]" |
| | dialogueSentences | 25 | | tagDensity | 0.56 | | leniency | 1 | | rawRatio | 0.071 | | effectiveRatio | 0.071 | |
| 72.61% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1278 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "perfectly" | | 1 | "lightly" | | 2 | "slightly" | | 3 | "very" | | 4 | "suddenly" |
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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) | |
| 37.40% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1278 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "the last thing" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | |
| | highlights | | 0 | "silence" | | 1 | "dancing" | | 2 | "echoing" | | 3 | "standard" | | 4 | "rhythmic" | | 5 | "the last thing" | | 6 | "silk" | | 7 | "chaotic" | | 8 | "gloom" | | 9 | "etched" | | 10 | "intricate" | | 11 | "vibrated" | | 12 | "unwavering" |
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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 | 81 | | matches | (empty) | |
| 72.31% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 81 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | 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 | 1272 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 75.07% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 1001 | | uniqueNames | 7 | | maxNameDensity | 1.5 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Tube | 2 | | Harlow | 1 | | Quinn | 15 | | Miller | 9 | | Morris | 2 | | English | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Miller" | | 3 | "Morris" |
| | places | (empty) | | globalScore | 0.751 | | windowScore | 0.833 | |
| 34.62% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 3 | | matches | | 0 | "shadows that seemed to stretch too far toward the darkness of the tunnels" | | 1 | "patterns that seemed to shift and writhe if she looked at them too directly" | | 2 | "felt like it was holding its breath" |
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| 42.77% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.572 | | wordCount | 1272 | | matches | | 0 | "not touching the skin, but hovering her hand just inches above the victim's chest" | | 1 | "Not an audible sound, but a violent, frantic movement" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 92 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 39.75 | | std | 21.11 | | cv | 0.531 | | sampleLengths | | 0 | 77 | | 1 | 42 | | 2 | 60 | | 3 | 80 | | 4 | 55 | | 5 | 72 | | 6 | 12 | | 7 | 29 | | 8 | 57 | | 9 | 51 | | 10 | 4 | | 11 | 30 | | 12 | 67 | | 13 | 39 | | 14 | 17 | | 15 | 19 | | 16 | 43 | | 17 | 3 | | 18 | 59 | | 19 | 51 | | 20 | 31 | | 21 | 19 | | 22 | 61 | | 23 | 29 | | 24 | 25 | | 25 | 27 | | 26 | 22 | | 27 | 12 | | 28 | 32 | | 29 | 34 | | 30 | 65 | | 31 | 48 |
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| 83.60% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 81 | | matches | | 0 | "was centered" | | 1 | "been dragged" | | 2 | "been left" | | 3 | "was etched" | | 4 | "being watched" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 177 | | matches | | 0 | "was looking" | | 1 | "wasn't looking" | | 2 | "was spinning" | | 3 | "was holding" | | 4 | "was only beginning" | | 5 | "was bleeding" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 4 | | flaggedSentences | 9 | | totalSentences | 92 | | ratio | 0.098 | | matches | | 0 | "The air in the abandoned Camden Tube station tasted of wet limestone and something sharper—the metallic, ozonic tang of a lightning strike that had never quite dissipated." | | 1 | "She wasn't looking at the architecture; she was looking at the patterns." | | 2 | "It reminded her of the last thing she’d felt before Morris died—that inexplicable, soul-deep shudder that had preceded the silence." | | 3 | "They weren't clouded with the typical film of death; they were wide, shimmering with a strange, iridescent sheen, like oil on water." | | 4 | "It was a series of faint, rhythmic impressions, almost circular, as if someone had been walking on the tips of their toes, or perhaps something had been dragged—lightly—in a sweeping motion." | | 5 | "But it wasn't the age that caught her attention; it was the face." | | 6 | "The brass surface was etched with intricate, swirling sigils—patterns that seemed to shift and writhe if she looked at them too directly." | | 7 | "The moment her skin touched the brass, the needle didn't just spin; it screamed." | | 8 | "As she spoke, a faint sound drifted from the darkness ahead—a rhythmic, chattering noise, like a thousand dry leaves skittering across stone." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1010 | | adjectiveStacks | 2 | | stackExamples | | 0 | "heavy, pressing against her" | | 1 | "inexplicable, soul-deep shudder" |
| | adverbCount | 33 | | adverbRatio | 0.032673267326732675 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.01485148514851485 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 13.83 | | std | 8.43 | | cv | 0.61 | | sampleLengths | | 0 | 27 | | 1 | 16 | | 2 | 16 | | 3 | 4 | | 4 | 14 | | 5 | 27 | | 6 | 15 | | 7 | 3 | | 8 | 11 | | 9 | 12 | | 10 | 34 | | 11 | 17 | | 12 | 11 | | 13 | 4 | | 14 | 15 | | 15 | 33 | | 16 | 14 | | 17 | 9 | | 18 | 32 | | 19 | 10 | | 20 | 4 | | 21 | 17 | | 22 | 21 | | 23 | 20 | | 24 | 12 | | 25 | 29 | | 26 | 9 | | 27 | 8 | | 28 | 40 | | 29 | 15 | | 30 | 14 | | 31 | 22 | | 32 | 4 | | 33 | 14 | | 34 | 16 | | 35 | 3 | | 36 | 13 | | 37 | 10 | | 38 | 10 | | 39 | 31 | | 40 | 4 | | 41 | 16 | | 42 | 7 | | 43 | 12 | | 44 | 13 | | 45 | 4 | | 46 | 19 | | 47 | 6 | | 48 | 8 | | 49 | 12 |
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| 36.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.29347826086956524 | | totalSentences | 92 | | uniqueOpeners | 27 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 9.74% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 78 | | matches | | 0 | "She adjusted the cuff of" | | 1 | "It was 3:14 AM." | | 2 | "He sounded tired, his voice" | | 3 | "She kept her eyes low," | | 4 | "She wasn't looking at the" | | 5 | "He lay sprawled across the" | | 6 | "He pointed his light at" | | 7 | "She ignored Miller's assessment." | | 8 | "She reached out, not touching" | | 9 | "She felt a faint, rhythmic" | | 10 | "It reminded her of the" | | 11 | "She leaned in closer, her" | | 12 | "She pulled a small penlight" | | 13 | "His eyes were open, fixed" | | 14 | "They weren't clouded with the" | | 15 | "She stood up, her gaze" | | 16 | "It wasn't the messy, chaotic" | | 17 | "It was a series of" | | 18 | "She followed the trail." | | 19 | "It led away from the" |
| | ratio | 0.526 | |
| 17.69% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 78 | | matches | | 0 | "The air in the abandoned" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "She adjusted the cuff of" | | 3 | "It was 3:14 AM." | | 4 | "The silence of the tunnels" | | 5 | "Sergeant Miller said, his flashlight" | | 6 | "He sounded tired, his voice" | | 7 | "Quinn didn't answer." | | 8 | "She kept her eyes low," | | 9 | "She wasn't looking at the" | | 10 | "The crime scene was centered" | | 11 | "The victim was a man," | | 12 | "He lay sprawled across the" | | 13 | "That was the first thing" | | 14 | "Miller said, stepping closer to" | | 15 | "He pointed his light at" | | 16 | "Quinn knelt beside the body," | | 17 | "She ignored Miller's assessment." | | 18 | "She reached out, not touching" | | 19 | "She felt a faint, rhythmic" |
| | ratio | 0.885 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 29.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 7 | | matches | | 0 | "The air in the abandoned Camden Tube station tasted of wet limestone and something sharper—the metallic, ozonic tang of a lightning strike that had never quite …" | | 1 | "The crime scene was centered near a defunct ticket booth, where a single lamp had been set up, casting long, jagged shadows that seemed to stretch too far towar…" | | 2 | "She felt a faint, rhythmic thrumming in the air, a vibration that made the fine hairs on her arms stand up." | | 3 | "It reminded her of the last thing she’d felt before Morris died—that inexplicable, soul-deep shudder that had preceded the silence." | | 4 | "It was a series of faint, rhythmic impressions, almost circular, as if someone had been walking on the tips of their toes, or perhaps something had been dragged…" | | 5 | "But it wasn't the age that caught her attention; it was the face." | | 6 | "She stepped into the dark, the compass acting as her only guide, its needle pointing the way toward a world she was only beginning to realize was bleeding into …" |
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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 and steady" | | 1 | "Miller called out, his flashlight bobbing after her" | | 2 | "she snapped back, not slowing her pace" | | 3 | "Quinn said, her voice tight" | | 4 | "Quinn commanded, her voice regaining its military steel" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 5 | | fancyTags | | 0 | "Quinn whispered (whisper)" | | 1 | "Miller sighed (sigh)" | | 2 | "Miller called out (call out)" | | 3 | "she snapped back (snap)" | | 4 | "Quinn murmured (murmur)" |
| | dialogueSentences | 25 | | tagDensity | 0.52 | | leniency | 1 | | rawRatio | 0.385 | | effectiveRatio | 0.385 | |