| 77.55% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 3 | | adverbTags | | 0 | "She pointed upward [upward]" | | 1 | "She gestured around [around]" | | 2 | "She stepped back [back]" |
| | dialogueSentences | 49 | | tagDensity | 0.265 | | leniency | 0.531 | | rawRatio | 0.231 | | effectiveRatio | 0.122 | |
| 83.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1205 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
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| | highlights | | 0 | "carefully" | | 1 | "very" | | 2 | "deliberately" |
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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) | |
| 70.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1205 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "complex" | | 1 | "weight" | | 2 | "scanning" | | 3 | "perfect" | | 4 | "etched" | | 5 | "racing" | | 6 | "pulse" |
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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 | 114 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 114 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 150 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1194 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 69.03% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 741 | | uniqueNames | 10 | | maxNameDensity | 1.62 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Underground | 1 | | Quinn | 12 | | Warren | 6 | | Camden | 1 | | German | 1 | | History | 1 | | Morris | 2 | | London | 1 | | Internal | 1 | | Affairs | 1 |
| | persons | | 0 | "Underground" | | 1 | "Quinn" | | 2 | "Warren" | | 3 | "Morris" | | 4 | "Affairs" |
| | places | | | globalScore | 0.69 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like silver wire that gleamed unde" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.838 | | wordCount | 1194 | | matches | | 0 | "Not from wire being pulled through, but from something else" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 150 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 20.24 | | std | 15.82 | | cv | 0.782 | | sampleLengths | | 0 | 25 | | 1 | 22 | | 2 | 45 | | 3 | 14 | | 4 | 7 | | 5 | 45 | | 6 | 7 | | 7 | 37 | | 8 | 6 | | 9 | 10 | | 10 | 32 | | 11 | 3 | | 12 | 9 | | 13 | 21 | | 14 | 18 | | 15 | 47 | | 16 | 8 | | 17 | 10 | | 18 | 7 | | 19 | 4 | | 20 | 38 | | 21 | 4 | | 22 | 6 | | 23 | 31 | | 24 | 12 | | 25 | 44 | | 26 | 8 | | 27 | 10 | | 28 | 2 | | 29 | 48 | | 30 | 8 | | 31 | 41 | | 32 | 11 | | 33 | 7 | | 34 | 32 | | 35 | 16 | | 36 | 37 | | 37 | 8 | | 38 | 38 | | 39 | 29 | | 40 | 19 | | 41 | 3 | | 42 | 42 | | 43 | 7 | | 44 | 56 | | 45 | 2 | | 46 | 33 | | 47 | 1 | | 48 | 7 | | 49 | 48 |
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| 96.03% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 114 | | matches | | 0 | "been closed" | | 1 | "been open" | | 2 | "being pulled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 135 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 150 | | ratio | 0 | | matches | (empty) | |
| 96.19% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 744 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.04435483870967742 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.012096774193548387 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 150 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 150 | | mean | 7.96 | | std | 6.86 | | cv | 0.862 | | sampleLengths | | 0 | 25 | | 1 | 10 | | 2 | 12 | | 3 | 3 | | 4 | 16 | | 5 | 1 | | 6 | 2 | | 7 | 23 | | 8 | 5 | | 9 | 9 | | 10 | 2 | | 11 | 5 | | 12 | 12 | | 13 | 20 | | 14 | 1 | | 15 | 1 | | 16 | 11 | | 17 | 7 | | 18 | 9 | | 19 | 6 | | 20 | 3 | | 21 | 3 | | 22 | 12 | | 23 | 2 | | 24 | 2 | | 25 | 6 | | 26 | 4 | | 27 | 6 | | 28 | 12 | | 29 | 3 | | 30 | 2 | | 31 | 9 | | 32 | 6 | | 33 | 3 | | 34 | 9 | | 35 | 8 | | 36 | 13 | | 37 | 4 | | 38 | 14 | | 39 | 10 | | 40 | 4 | | 41 | 5 | | 42 | 6 | | 43 | 2 | | 44 | 11 | | 45 | 9 | | 46 | 8 | | 47 | 10 | | 48 | 7 | | 49 | 4 |
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| 75.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.5 | | totalSentences | 150 | | uniqueOpeners | 75 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 87 | | matches | | 0 | "Of course it was." | | 1 | "More symbols, these ones matching" | | 2 | "Then a voice, female, young," |
| | ratio | 0.034 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 87 | | matches | | 0 | "Her boots crunched on debris" | | 1 | "She pointed upward" | | 2 | "She ignored him, focusing on" | | 3 | "He leaned in, squinted." | | 4 | "She photographed it from three" | | 5 | "She gestured around the empty" | | 6 | "She crouched, examined the dust" | | 7 | "She aimed her torch at" | | 8 | "It bothered her." | | 9 | "She reached up carefully, touched" | | 10 | "She photographed the wire closeup," | | 11 | "She stepped back, looked at" | | 12 | "She knelt, brushed away debris." | | 13 | "She pointed to the wrist" | | 14 | "His pen had stopped tapping." | | 15 | "She photographed it in place" | | 16 | "She opened it." | | 17 | "She held up one of" | | 18 | "She gestured to the entire" | | 19 | "She photographed the claw marks," |
| | ratio | 0.264 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 87 | | matches | | 0 | "The body hung suspended between" | | 1 | "Quinn moved closer." | | 2 | "The abandoned Camden station still" | | 3 | "Her boots crunched on debris" | | 4 | "She pointed upward" | | 5 | "Quinn pulled out her phone," | | 6 | "The wire wrapped around both" | | 7 | "She ignored him, focusing on" | | 8 | "The silver had cut into" | | 9 | "He leaned in, squinted." | | 10 | "Quinn grabbed his torch, aimed" | | 11 | "She photographed it from three" | | 12 | "She gestured around the empty" | | 13 | "Warren shifted his weight." | | 14 | "Quinn walked the perimeter of" | | 15 | "Glass and rubble, yes." | | 16 | "Cigarette butts and old newspaper." | | 17 | "A crushed can of something" | | 18 | "She crouched, examined the dust" | | 19 | "Quinn stood, brushed dust from" |
| | ratio | 0.713 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 87 | | matches | (empty) | | ratio | 0 | |
| 57.14% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 3 | | matches | | 0 | "The body hung suspended between two pillars of the abandoned Underground station, bound by what looked like silver wire that gleamed under Quinn's torch beam." | | 1 | "The way it caught the light, throwing off tiny reflections that didn't behave quite right." | | 2 | "Something that made her skin prickle even through the latex glove." |
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| 48.08% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 2 | | matches | | 0 | "Warren said, his voice tight" | | 1 | "She photographed, her hands steady despite her racing pulse" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 49 | | tagDensity | 0.061 | | leniency | 0.122 | | rawRatio | 0 | | effectiveRatio | 0 | |