| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 905 | | 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) | |
| 39.23% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 905 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "measured" | | 1 | "flicker" | | 2 | "glistening" | | 3 | "shimmered" | | 4 | "pulsed" | | 5 | "silence" | | 6 | "echo" | | 7 | "trembled" | | 8 | "velvet" |
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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 | 134 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 134 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 149 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 896 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 746 | | uniqueNames | 15 | | maxNameDensity | 0.94 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 7 | | Charing | 1 | | Cross | 1 | | Road | 1 | | Soho | 1 | | Square | 1 | | Tomás | 7 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Underground | 1 | | English | 1 | | Morris | 2 | | Like | 3 | | One | 3 |
| | persons | | 0 | "Quinn" | | 1 | "Tomás" | | 2 | "Herrera" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Morris" | | 6 | "One" |
| | places | | 0 | "Charing" | | 1 | "Cross" | | 2 | "Road" | | 3 | "Soho" | | 4 | "English" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 896 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 149 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 16.59 | | std | 15.93 | | cv | 0.96 | | sampleLengths | | 0 | 9 | | 1 | 63 | | 2 | 59 | | 3 | 32 | | 4 | 14 | | 5 | 4 | | 6 | 42 | | 7 | 6 | | 8 | 11 | | 9 | 10 | | 10 | 13 | | 11 | 4 | | 12 | 29 | | 13 | 13 | | 14 | 53 | | 15 | 6 | | 16 | 8 | | 17 | 7 | | 18 | 6 | | 19 | 23 | | 20 | 51 | | 21 | 12 | | 22 | 3 | | 23 | 21 | | 24 | 9 | | 25 | 3 | | 26 | 18 | | 27 | 3 | | 28 | 4 | | 29 | 17 | | 30 | 36 | | 31 | 36 | | 32 | 7 | | 33 | 4 | | 34 | 4 | | 35 | 57 | | 36 | 22 | | 37 | 9 | | 38 | 5 | | 39 | 3 | | 40 | 11 | | 41 | 16 | | 42 | 4 | | 43 | 6 | | 44 | 23 | | 45 | 1 | | 46 | 6 | | 47 | 15 | | 48 | 20 | | 49 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 134 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 126 | | matches | (empty) | |
| 27.80% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 149 | | ratio | 0.04 | | matches | | 0 | "Ahead, the flicker of a dark coat vanished around a corner—north toward Charing Cross Road, too fast to be accidental." | | 1 | "This time he left a trail: a dropped matchbox stamped with a raven, the scent of bergamot clinging to damp wool, and now—faint beneath the rain—the chime of a bell too low for any church clock." | | 2 | "Then—a shadow." | | 3 | "Instead, he touched his left forearm—the scar there visible where his sleeve had ridden up." | | 4 | "And in the centre—her suspect." | | 5 | "Or turn back now—empty-handed, haunted, but alive." |
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| 93.07% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 755 | | adjectiveStacks | 1 | | stackExamples | | 0 | "Faint green light pulsed" |
| | adverbCount | 31 | | adverbRatio | 0.04105960264900662 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003973509933774834 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 149 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 149 | | mean | 6.01 | | std | 5.07 | | cv | 0.843 | | sampleLengths | | 0 | 9 | | 1 | 16 | | 2 | 11 | | 3 | 11 | | 4 | 20 | | 5 | 5 | | 6 | 8 | | 7 | 11 | | 8 | 4 | | 9 | 36 | | 10 | 4 | | 11 | 1 | | 12 | 4 | | 13 | 19 | | 14 | 4 | | 15 | 2 | | 16 | 6 | | 17 | 2 | | 18 | 4 | | 19 | 4 | | 20 | 11 | | 21 | 15 | | 22 | 16 | | 23 | 6 | | 24 | 11 | | 25 | 6 | | 26 | 4 | | 27 | 13 | | 28 | 4 | | 29 | 3 | | 30 | 15 | | 31 | 2 | | 32 | 1 | | 33 | 1 | | 34 | 5 | | 35 | 2 | | 36 | 9 | | 37 | 4 | | 38 | 6 | | 39 | 2 | | 40 | 4 | | 41 | 3 | | 42 | 1 | | 43 | 1 | | 44 | 7 | | 45 | 2 | | 46 | 18 | | 47 | 9 | | 48 | 4 | | 49 | 2 |
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| 80.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.5369127516778524 | | totalSentences | 149 | | uniqueOpeners | 80 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 102 | | matches | | 0 | "Too deliberate to be innocent." | | 1 | "Instead, he touched his left" | | 2 | "Just that green light and" | | 3 | "Just a hunch." | | 4 | "Then she stepped forward." | | 5 | "Then the figure raised a" |
| | ratio | 0.059 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 102 | | matches | | 0 | "It crashed against the wall" | | 1 | "Her breath came sharp and" | | 2 | "She’d lost him once already" | | 3 | "She drew her sidearm." | | 4 | "His Saint Christopher medallion caught" | | 5 | "Her finger stayed near the" | | 6 | "Her watch ticked." | | 7 | "She remembered the smell afterward." | | 8 | "Her breath stopped." | | 9 | "She stepped past him." | | 10 | "he called after her" | | 11 | "She reached into her coat." | | 12 | "he said, voice low" |
| | ratio | 0.127 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 102 | | matches | | 0 | "The alleyway reeked of wet" | | 1 | "Harlow Quinn broke stride just" | | 2 | "It crashed against the wall" | | 3 | "Her breath came sharp and" | | 4 | "She’d lost him once already" | | 5 | "This time he left a" | | 6 | "Quinn rounded the corner." | | 7 | "A lone taxi idled at" | | 8 | "Human, but not quite." | | 9 | "She drew her sidearm." | | 10 | "The voice came from the" | | 11 | "Tomás Herrera stepped into the" | | 12 | "His Saint Christopher medallion caught" | | 13 | "Her finger stayed near the" | | 14 | "Tomás didn’t answer." | | 15 | "A cut not from running." | | 16 | "The bell chimed again." | | 17 | "Quinn holstered her weapon." | | 18 | "Tomás blocked her." | | 19 | "Her watch ticked." |
| | ratio | 0.52 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 102 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 1 | | matches | | 0 | "But at Tomás, who had followed her in, breathing hard, medallion glowing faintly against his chest." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |