| 73.08% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 1 | | adverbTags | | 0 | "His Spanish accent curled around [around]" |
| | dialogueSentences | 13 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0.25 | | effectiveRatio | 0.154 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 632 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 36.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 632 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "electric" | | 1 | "scanning" | | 2 | "footsteps" | | 3 | "echoed" | | 4 | "glinting" | | 5 | "flickered" | | 6 | "shattered" | | 7 | "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 | 68 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 68 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 77 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 621 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.82% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 541 | | uniqueNames | 14 | | maxNameDensity | 1.66 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 9 | | Raven | 1 | | Nest | 1 | | Morris | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Spanish | 1 | | Tomás | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Morris" | | 4 | "Herrera" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Tomás" |
| | places | | | globalScore | 0.668 | | windowScore | 0.833 | |
| 90.48% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a human finger bone" |
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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 | 621 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 15.92 | | std | 13.89 | | cv | 0.872 | | sampleLengths | | 0 | 53 | | 1 | 56 | | 2 | 30 | | 3 | 42 | | 4 | 13 | | 5 | 20 | | 6 | 13 | | 7 | 2 | | 8 | 42 | | 9 | 3 | | 10 | 15 | | 11 | 35 | | 12 | 2 | | 13 | 17 | | 14 | 33 | | 15 | 18 | | 16 | 3 | | 17 | 27 | | 18 | 12 | | 19 | 10 | | 20 | 12 | | 21 | 14 | | 22 | 15 | | 23 | 13 | | 24 | 6 | | 25 | 11 | | 26 | 6 | | 27 | 6 | | 28 | 17 | | 29 | 7 | | 30 | 10 | | 31 | 4 | | 32 | 4 | | 33 | 21 | | 34 | 15 | | 35 | 3 | | 36 | 2 | | 37 | 4 | | 38 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 68 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 86 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 77 | | ratio | 0.117 | | matches | | 0 | "Ahead, the suspect—a wiry figure in a soaked hoodie—darted around a corner with unnatural agility." | | 1 | "The alley narrowed to a dead end—empty except for a rusted maintenance hatch hanging open." | | 2 | "The hatch smelled of damp concrete and something else—ozone and burnt herbs." | | 3 | "Then a sound—a faint clang of metal from below." | | 4 | "The rungs ended in a cavernous space that shouldn't exist—an abandoned Tube station, its arched ceilings strung with flickering lanterns." | | 5 | "The vendors' eyes tracked her—some curious, others hostile." | | 6 | "There—by the far platform." | | 7 | "Then—a dead end." | | 8 | "Another sound—a wet, clicking noise from the tunnel behind them." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 559 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.025044722719141325 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0035778175313059034 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 77 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 77 | | mean | 8.06 | | std | 5.15 | | cv | 0.639 | | sampleLengths | | 0 | 20 | | 1 | 18 | | 2 | 15 | | 3 | 12 | | 4 | 13 | | 5 | 18 | | 6 | 13 | | 7 | 10 | | 8 | 20 | | 9 | 6 | | 10 | 15 | | 11 | 9 | | 12 | 12 | | 13 | 6 | | 14 | 5 | | 15 | 2 | | 16 | 6 | | 17 | 12 | | 18 | 1 | | 19 | 1 | | 20 | 9 | | 21 | 4 | | 22 | 2 | | 23 | 20 | | 24 | 11 | | 25 | 11 | | 26 | 3 | | 27 | 7 | | 28 | 8 | | 29 | 6 | | 30 | 8 | | 31 | 8 | | 32 | 13 | | 33 | 2 | | 34 | 6 | | 35 | 4 | | 36 | 7 | | 37 | 15 | | 38 | 12 | | 39 | 6 | | 40 | 3 | | 41 | 15 | | 42 | 3 | | 43 | 16 | | 44 | 11 | | 45 | 12 | | 46 | 3 | | 47 | 7 | | 48 | 8 | | 49 | 4 |
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| 66.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.42857142857142855 | | totalSentences | 77 | | uniqueOpeners | 33 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 59 | | matches | | 0 | "Then a sound—a faint clang" | | 1 | "Then—a dead end." | | 2 | "Somewhere in the market, glass" |
| | ratio | 0.051 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 59 | | matches | | 0 | "Her breath came in sharp" | | 1 | "She adjusted the worn leather" | | 2 | "Her command dissolved into the" | | 3 | "She pulled her torch, the" | | 4 | "She hesitated, fingertips brushing her" | | 5 | "She'd heard whispers in the" | | 6 | "Her suspect melted into the" | | 7 | "She followed, pushing past a" | | 8 | "His Spanish accent curled around" | | 9 | "He pushed off the wall" | | 10 | "She stepped closer." | | 11 | "He laughed, bitter" | | 12 | "Her pulse spiked at her" | | 13 | "She holstered the gun." | | 14 | "It had only just begun." |
| | ratio | 0.254 | |
| 19.32% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 59 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn sprinted past" | | 2 | "Her breath came in sharp" | | 3 | "This one had that electric" | | 4 | "She adjusted the worn leather" | | 5 | "Her command dissolved into the" | | 6 | "The figure vaulted over a" | | 7 | "Quinn followed, her sharp jaw" | | 8 | "The alley narrowed to a" | | 9 | "A cold draft wafted up" | | 10 | "She pulled her torch, the" | | 11 | "The radio at her hip" | | 12 | "Backup was eight minutes out." | | 13 | "She hesitated, fingertips brushing her" | | 14 | "The hatch smelled of damp" | | 15 | "The suspect was moving." | | 16 | "The rungs ended in a" | | 17 | "Stalls lined the platforms, their" | | 18 | "The air hummed with low" | | 19 | "The Veil Market." |
| | ratio | 0.881 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 1 | | matches | | 0 | "The rungs ended in a cavernous space that shouldn't exist—an abandoned Tube station, its arched ceilings strung with flickering lanterns." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | |
| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 13 | | tagDensity | 0.077 | | leniency | 0.154 | | rawRatio | 1 | | effectiveRatio | 0.154 | |