| 4.88% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 4 | | adverbTags | | 0 | "Harlow turned back [back]" | | 1 | "Harlow paused then [then]" | | 2 | "She stared back [back]" | | 3 | "Harlow repeated softly [softly]" |
| | dialogueSentences | 41 | | tagDensity | 0.415 | | leniency | 0.829 | | rawRatio | 0.235 | | effectiveRatio | 0.195 | |
| 94.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 915 | | totalAiIsmAdverbs | 1 | | 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) | |
| 18.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 915 | | totalAiIsms | 15 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | word | "down her spine" | | count | 1 |
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| | highlights | | 0 | "footfall" | | 1 | "echoing" | | 2 | "stomach" | | 3 | "scanning" | | 4 | "stark" | | 5 | "traced" | | 6 | "etched" | | 7 | "intricate" | | 8 | "glinting" | | 9 | "chill" | | 10 | "flicker" | | 11 | "familiar" | | 12 | "down her spine" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 67 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 5 | | totalWords | 909 | | ratio | 0.006 | | matches | | 0 | "wanted" | | 1 | "below" | | 2 | "is" | | 3 | "brought" | | 4 | "Everything" |
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| 89.29% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 1 | | matches | | 0 | "Its face was etched with symbols—protective sigils, she guessed expertly." |
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| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 499 | | uniqueNames | 9 | | maxNameDensity | 3.01 | | worstName | "Harlow" | | maxWindowNameDensity | 4 | | worstWindowName | "Harlow" | | discoveredNames | | Thursday | 1 | | Quinn | 1 | | Tube | 1 | | Camden | 1 | | Inspector | 1 | | Davies | 7 | | Harlow | 15 | | North | 1 | | Morris | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Inspector" | | 2 | "Davies" | | 3 | "Harlow" | | 4 | "Morris" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 2.2 | | wordCount | 909 | | matches | | 0 | "not on North, but on a point *below* the platform" | | 1 | "Not the usual metallic tang of blood, but something…" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 23.92 | | std | 16.3 | | cv | 0.681 | | sampleLengths | | 0 | 48 | | 1 | 41 | | 2 | 42 | | 3 | 1 | | 4 | 40 | | 5 | 35 | | 6 | 39 | | 7 | 5 | | 8 | 25 | | 9 | 19 | | 10 | 48 | | 11 | 27 | | 12 | 6 | | 13 | 21 | | 14 | 21 | | 15 | 47 | | 16 | 5 | | 17 | 28 | | 18 | 4 | | 19 | 30 | | 20 | 6 | | 21 | 40 | | 22 | 4 | | 23 | 32 | | 24 | 6 | | 25 | 7 | | 26 | 33 | | 27 | 10 | | 28 | 41 | | 29 | 18 | | 30 | 46 | | 31 | 4 | | 32 | 49 | | 33 | 43 | | 34 | 5 | | 35 | 5 | | 36 | 8 | | 37 | 20 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 67 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 87 | | matches | (empty) | |
| 48.67% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 91 | | ratio | 0.033 | | matches | | 0 | "She noted the precision of the wound—a single, deliberate thrust." | | 1 | "She moved toward it—a small, tarnished brass compass." | | 2 | "Its face was etched with symbols—protective sigils, she guessed expertly." |
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| 94.91% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 502 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.045816733067729085 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.0199203187250996 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 9.99 | | std | 7.13 | | cv | 0.714 | | sampleLengths | | 0 | 8 | | 1 | 7 | | 2 | 14 | | 3 | 12 | | 4 | 7 | | 5 | 14 | | 6 | 20 | | 7 | 7 | | 8 | 7 | | 9 | 8 | | 10 | 11 | | 11 | 2 | | 12 | 4 | | 13 | 10 | | 14 | 1 | | 15 | 32 | | 16 | 8 | | 17 | 10 | | 18 | 8 | | 19 | 10 | | 20 | 2 | | 21 | 5 | | 22 | 20 | | 23 | 3 | | 24 | 3 | | 25 | 1 | | 26 | 7 | | 27 | 5 | | 28 | 5 | | 29 | 6 | | 30 | 19 | | 31 | 2 | | 32 | 17 | | 33 | 23 | | 34 | 8 | | 35 | 7 | | 36 | 10 | | 37 | 10 | | 38 | 17 | | 39 | 6 | | 40 | 7 | | 41 | 14 | | 42 | 21 | | 43 | 23 | | 44 | 11 | | 45 | 3 | | 46 | 9 | | 47 | 1 | | 48 | 5 | | 49 | 7 |
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| 89.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5604395604395604 | | totalSentences | 91 | | uniqueOpeners | 51 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 58 | | matches | | 0 | "Just another layer to this" | | 1 | "Too intricate, too…" |
| | ratio | 0.034 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 58 | | matches | | 0 | "He stood near the center" | | 1 | "He hadn’t the stomach for" | | 2 | "She noted the precision of" | | 3 | "Her fingers traced the pattern" | | 4 | "It wasn’t graffiti." | | 5 | "She moved toward it—a small," | | 6 | "Its face was etched with" | | 7 | "She picked it up, turning" | | 8 | "He joined her, shining his" | | 9 | "She reached out, tapping the" | | 10 | "She stared back at the" |
| | ratio | 0.19 | |
| 20.34% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 58 | | matches | | 0 | "The air tasted of ozone" | | 1 | "Harlow Quinn descended the slick," | | 2 | "The abandoned Tube station beneath" | | 3 | "Detective Inspector Davies greeted her," | | 4 | "He stood near the center" | | 5 | "He hadn’t the stomach for" | | 6 | "Harlow ignored the sarcasm, scanning" | | 7 | "The flickering emergency lights cast" | | 8 | "A body lay sprawled near" | | 9 | "A single crimson stain blossomed" | | 10 | "Davies gestured to a uniformed" | | 11 | "Harlow crouched beside the body," | | 12 | "Finch's eyes stared blankly at" | | 13 | "She noted the precision of" | | 14 | "Her fingers traced the pattern" | | 15 | "It wasn’t graffiti." | | 16 | "A series of interconnected circles" | | 17 | "A language she didn’t recognize." | | 18 | "Harlow rose, pacing the platform" | | 19 | "Harlow’s eyes swept across the" |
| | ratio | 0.879 | |
| 86.21% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 58 | | matches | | 0 | "But, just beyond the pool" |
| | ratio | 0.017 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 14 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 66.18% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 2 | | matches | | 0 | "Detective Inspector Davies greeted, voice bouncing off the tiled walls" | | 1 | "She stared back, a nagging feeling settling in her gut" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "Davies added (add)" | | 1 | "Harlow repeated softly (repeat)" |
| | dialogueSentences | 41 | | tagDensity | 0.073 | | leniency | 0.146 | | rawRatio | 0.667 | | effectiveRatio | 0.098 | |