| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 820 | | 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) | |
| 69.51% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 820 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "footsteps" | | 1 | "depths" | | 2 | "charged" | | 3 | "echoed" | | 4 | "dancing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
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| | highlights | | |
| 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 | 1 | | narrationSentences | 68 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 74 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 805 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 74.76% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 731 | | uniqueNames | 11 | | maxNameDensity | 1.5 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 11 | | November | 1 | | Camden | 1 | | Raven | 1 | | Nest | 1 | | Static | 1 | | Tube | 2 | | Veil | 1 | | Market | 1 | | Heads | 1 | | Actual | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Static" | | 4 | "Heads" | | 5 | "Actual" |
| | places | (empty) | | globalScore | 0.748 | | windowScore | 0.833 | |
| 59.09% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like an old Tube station, the boar" | | 1 | "felt like a hundred steps, the staircas" |
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| 75.78% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.242 | | wordCount | 805 | | matches | | 0 | "not threatening exactly, but curious" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 74 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 32.2 | | std | 16.91 | | cv | 0.525 | | sampleLengths | | 0 | 60 | | 1 | 58 | | 2 | 27 | | 3 | 10 | | 4 | 52 | | 5 | 41 | | 6 | 13 | | 7 | 41 | | 8 | 27 | | 9 | 3 | | 10 | 34 | | 11 | 57 | | 12 | 10 | | 13 | 45 | | 14 | 59 | | 15 | 25 | | 16 | 47 | | 17 | 31 | | 18 | 19 | | 19 | 21 | | 20 | 35 | | 21 | 31 | | 22 | 12 | | 23 | 12 | | 24 | 35 |
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| 89.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 68 | | matches | | 0 | "was headed" | | 1 | "been pulled" | | 2 | "been transformed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 128 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 74 | | ratio | 0.108 | | matches | | 0 | "Twenty meters ahead, her suspect—a gaunt man in a torn peacoat—glanced over his shoulder before ducking around the corner." | | 1 | "In that split second of brightness, Quinn saw where he was headed—a boarded-up entrance to what looked like an old Tube station, the boards recently pried loose." | | 2 | "A musty smell wafted up, mixed with something else—incense, herbs, and that same chemical tang from the satchel." | | 3 | "Morris would have—" | | 4 | "Graffiti covered the walls, but underneath the modern tags, she could make out older symbols carved into the tile—circles, triangles, characters from no alphabet she recognized." | | 5 | "People—if they were people—moved between the stalls, examining wares spread on moth-eaten carpets and rickety tables." | | 6 | "The cheerful chaos of commerce ground to a halt as dozens of eyes—human and otherwise—fixed on Quinn." | | 7 | "This wasn't a chase—it was a trap." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 746 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.01742627345844504 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005361930294906166 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 74 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 74 | | mean | 10.88 | | std | 5.97 | | cv | 0.549 | | sampleLengths | | 0 | 22 | | 1 | 19 | | 2 | 19 | | 3 | 18 | | 4 | 12 | | 5 | 20 | | 6 | 8 | | 7 | 12 | | 8 | 15 | | 9 | 3 | | 10 | 7 | | 11 | 11 | | 12 | 14 | | 13 | 12 | | 14 | 15 | | 15 | 14 | | 16 | 27 | | 17 | 13 | | 18 | 6 | | 19 | 17 | | 20 | 18 | | 21 | 5 | | 22 | 16 | | 23 | 6 | | 24 | 3 | | 25 | 10 | | 26 | 14 | | 27 | 7 | | 28 | 3 | | 29 | 16 | | 30 | 13 | | 31 | 2 | | 32 | 26 | | 33 | 7 | | 34 | 1 | | 35 | 2 | | 36 | 11 | | 37 | 20 | | 38 | 14 | | 39 | 7 | | 40 | 15 | | 41 | 9 | | 42 | 12 | | 43 | 16 | | 44 | 3 | | 45 | 13 | | 46 | 9 | | 47 | 11 | | 48 | 6 | | 49 | 17 |
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| 74.32% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4864864864864865 | | totalSentences | 74 | | uniqueOpeners | 36 | |
| 52.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 63 | | matches | | | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 63 | | matches | | 0 | "She pushed off the wall" | | 1 | "She spoke into her radio" | | 2 | "She landed hard on the" | | 3 | "she muttered, but the suspect" | | 4 | "She tried her radio again." | | 5 | "She checked the faded sign" | | 6 | "She cut off the thought" | | 7 | "She swept her torch across" | | 8 | "She'd heard whispers of it" | | 9 | "Her suspect was halfway across" | | 10 | "She smiled, revealing teeth filed" | | 11 | "He stood at the far" | | 12 | "He'd led her here." | | 13 | "Her mobile would be the" |
| | ratio | 0.222 | |
| 63.17% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 63 | | matches | | 0 | "Detective Quinn's breath misted in" | | 1 | "She pushed off the wall" | | 2 | "The man had emerged from" | | 3 | "She spoke into her radio" | | 4 | "Static crackled back." | | 5 | "The rain was interfering with" | | 6 | "The suspect vaulted over a" | | 7 | "Quinn followed, her hands scraping" | | 8 | "She landed hard on the" | | 9 | "The man was already sprinting" | | 10 | "A flash of lightning illuminated" | | 11 | "she muttered, but the suspect" | | 12 | "Quinn reached the entrance and" | | 13 | "The wooden boards had been" | | 14 | "A musty smell wafted up," | | 15 | "She tried her radio again." | | 16 | "She checked the faded sign" | | 17 | "Rain drummed on the corrugated" | | 18 | "Quinn touched the worn leather" | | 19 | "Morris would have charged in" |
| | ratio | 0.794 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 2 | | matches | | 0 | "She pushed off the wall and followed, her footsteps splashing through puddles that reflected the amber streetlights above." | | 1 | "The man had emerged from the bar's back entrance carrying a leather satchel that reeked of something chemical, something wrong." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "She spoke (speak)" | | 1 | "she muttered (mutter)" | | 2 | "the man interrupted (interrupt)" |
| | dialogueSentences | 12 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.75 | | effectiveRatio | 0.5 | |