| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.57% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 648 | | 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) | |
| 38.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 648 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "glistening" | | 1 | "pulse" | | 2 | "etched" | | 3 | "traced" | | 4 | "flicked" | | 5 | "flickered" | | 6 | "silence" |
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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 | 63 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 4 | | totalWords | 639 | | ratio | 0.006 | | matches | | 0 | "way" | | 1 | "wrong" | | 2 | "that" | | 3 | "hung" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 465 | | uniqueNames | 7 | | maxNameDensity | 3.01 | | worstName | "Harlow" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Carter" | | discoveredNames | | Tube | 1 | | Harlow | 14 | | Quinn | 1 | | Carter | 14 | | Lila | 2 | | Veil | 1 | | Compass | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Carter" | | 3 | "Lila" |
| | places | | | globalScore | 0 | | windowScore | 0.167 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 31 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like dried blood—or something dark" | | 1 | "as if waiting for something" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 639 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 19.97 | | std | 15.49 | | cv | 0.776 | | sampleLengths | | 0 | 66 | | 1 | 26 | | 2 | 44 | | 3 | 23 | | 4 | 47 | | 5 | 7 | | 6 | 8 | | 7 | 22 | | 8 | 11 | | 9 | 45 | | 10 | 9 | | 11 | 30 | | 12 | 4 | | 13 | 23 | | 14 | 9 | | 15 | 17 | | 16 | 12 | | 17 | 28 | | 18 | 12 | | 19 | 51 | | 20 | 4 | | 21 | 3 | | 22 | 11 | | 23 | 9 | | 24 | 24 | | 25 | 6 | | 26 | 13 | | 27 | 9 | | 28 | 22 | | 29 | 11 | | 30 | 26 | | 31 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 90 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 82 | | ratio | 0.073 | | matches | | 0 | "She’d been here before—once, twice—always with the same hollow feeling settling in her gut." | | 1 | "The body was the same as the reports described—a woman, face down in a puddle of something dark and glistening." | | 2 | "A symbol, etched in something that looked like dried blood—or something darker." | | 3 | "A shadow moved—just for a second—before the light steadied." | | 4 | "Something glinted beneath her touch—a small brass object, half-buried in the grime." | | 5 | "The way the air hummed, the way the shadows moved—it wasn’t just a crime scene." |
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| 96.23% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 474 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.04430379746835443 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.010548523206751054 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 7.79 | | std | 5.37 | | cv | 0.689 | | sampleLengths | | 0 | 23 | | 1 | 14 | | 2 | 15 | | 3 | 14 | | 4 | 13 | | 5 | 10 | | 6 | 3 | | 7 | 3 | | 8 | 4 | | 9 | 20 | | 10 | 2 | | 11 | 2 | | 12 | 13 | | 13 | 4 | | 14 | 19 | | 15 | 7 | | 16 | 2 | | 17 | 2 | | 18 | 4 | | 19 | 11 | | 20 | 9 | | 21 | 12 | | 22 | 7 | | 23 | 5 | | 24 | 3 | | 25 | 12 | | 26 | 10 | | 27 | 5 | | 28 | 6 | | 29 | 13 | | 30 | 23 | | 31 | 9 | | 32 | 2 | | 33 | 7 | | 34 | 27 | | 35 | 3 | | 36 | 2 | | 37 | 2 | | 38 | 15 | | 39 | 8 | | 40 | 3 | | 41 | 6 | | 42 | 8 | | 43 | 9 | | 44 | 7 | | 45 | 5 | | 46 | 11 | | 47 | 9 | | 48 | 4 | | 49 | 4 |
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| 55.69% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3780487804878049 | | totalSentences | 82 | | uniqueOpeners | 31 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 55 | | matches | | 0 | "Just cold, dead flesh." | | 1 | "Instead, she walked to the" |
| | ratio | 0.036 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 55 | | matches | | 0 | "She’d been here before—once, twice—always" | | 1 | "His tie hung loose, sleeves" | | 2 | "She didn’t have to." | | 3 | "She turned the body slightly," | | 4 | "She traced the edges with" | | 5 | "She pointed to Lila’s fingers," | | 6 | "He didn’t have an answer." | | 7 | "She didn’t say anything." | | 8 | "She didn’t have to." | | 9 | "She crouched, running her fingers" | | 10 | "She pulled it free." | | 11 | "It didn’t point anywhere." | | 12 | "She didn’t have to." | | 13 | "It was a warning." |
| | ratio | 0.255 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 55 | | matches | | 0 | "The abandoned Tube station reeked" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "The flickering fluorescents above buzzed" | | 3 | "She’d been here before—once, twice—always" | | 4 | "DS Carter muttered from where" | | 5 | "His tie hung loose, sleeves" | | 6 | "Harlow didn’t answer." | | 7 | "She didn’t have to." | | 8 | "The body was the same" | | 9 | "The air around her was" | | 10 | "Carter followed her gaze." | | 11 | "Harlow crouched, fingers brushing the" | | 12 | "She turned the body slightly," | | 13 | "A jagged mark, too precise" | | 14 | "A symbol, etched in something" | | 15 | "Harlow asked, voice low" | | 16 | "Carter crouched beside her, squinting." | | 17 | "She traced the edges with" | | 18 | "Carter exhaled through his nose." | | 19 | "Harlow stood, brushing dirt from" |
| | ratio | 0.927 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 15 | | technicalSentenceCount | 1 | | matches | | 0 | "The abandoned Tube station reeked of damp stone and something older, something that clung to the air like the scent of rusted iron." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "Harlow asked, voice low" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "DS Carter muttered (mutter)" |
| | dialogueSentences | 30 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0.333 | | effectiveRatio | 0.067 | |