| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 2 | | adverbTags | | 0 | "Kowalski's hand trembled slightly [slightly]" | | 1 | "she said slowly [slowly]" |
| | dialogueSentences | 50 | | tagDensity | 0.44 | | leniency | 0.88 | | rawRatio | 0.091 | | effectiveRatio | 0.08 | |
| 81.75% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1370 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "carefully" | | 3 | "slightly" |
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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) | |
| 81.75% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1370 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "profound" | | 1 | "tracing" | | 2 | "trembled" | | 3 | "weight" |
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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 | 74 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 74 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 54 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1355 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 813 | | uniqueNames | 12 | | maxNameDensity | 1.85 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 15 | | Camden | 1 | | Town | 1 | | Markham | 8 | | Italian | 1 | | Submariner | 1 | | Kowalski | 5 | | Morris | 5 | | Veil | 1 | | Market | 1 | | Detective | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Markham" | | 3 | "Kowalski" | | 4 | "Morris" |
| | places | | | globalScore | 0.577 | | windowScore | 0.5 | |
| 50.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed thicker than natural shadows" | | 1 | "quite grasp—the smell of copper and ozone, the weight of a gun she hadn't fired in three years, Morris's voice saying something about the shadows in the old district" |
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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 | 1355 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 31.51 | | std | 19.95 | | cv | 0.633 | | sampleLengths | | 0 | 64 | | 1 | 28 | | 2 | 4 | | 3 | 33 | | 4 | 56 | | 5 | 58 | | 6 | 29 | | 7 | 5 | | 8 | 45 | | 9 | 9 | | 10 | 44 | | 11 | 3 | | 12 | 54 | | 13 | 40 | | 14 | 26 | | 15 | 35 | | 16 | 3 | | 17 | 71 | | 18 | 12 | | 19 | 34 | | 20 | 58 | | 21 | 37 | | 22 | 19 | | 23 | 33 | | 24 | 28 | | 25 | 4 | | 26 | 66 | | 27 | 16 | | 28 | 35 | | 29 | 14 | | 30 | 18 | | 31 | 37 | | 32 | 24 | | 33 | 20 | | 34 | 2 | | 35 | 50 | | 36 | 69 | | 37 | 11 | | 38 | 29 | | 39 | 42 | | 40 | 59 | | 41 | 17 | | 42 | 14 |
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| 95.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 74 | | matches | | 0 | "was frozen" | | 1 | "were streaked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 138 | | matches | | 0 | "was coming" | | 1 | "was trying" |
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| 1.41% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 101 | | ratio | 0.05 | | matches | | 0 | "The smell hit her first—copper and ozone, with something underneath like burned sage." | | 1 | "Markham exchanged a glance with the other figure—a young woman Quinn didn't recognize, her red hair escaping from a hasty ponytail, round glasses perched on her nose." | | 2 | "Expensive suit, Italian leather shoes, watches on both wrists—a Submariner and something antique she couldn't identify." | | 3 | "The walls were streaked with old water damage and newer graffiti, but there—half-hidden behind a collapsed ticket booth—she stopped." | | 4 | "Something in her chest tightened, a memory she couldn't quite grasp—the smell of copper and ozone, the weight of a gun she hadn't fired in three years, Morris's voice saying something about the shadows in the old district." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 824 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.01820388349514563 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.00849514563106796 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 13.42 | | std | 9.79 | | cv | 0.73 | | sampleLengths | | 0 | 13 | | 1 | 25 | | 2 | 15 | | 3 | 11 | | 4 | 22 | | 5 | 6 | | 6 | 4 | | 7 | 14 | | 8 | 19 | | 9 | 6 | | 10 | 19 | | 11 | 31 | | 12 | 9 | | 13 | 17 | | 14 | 15 | | 15 | 17 | | 16 | 15 | | 17 | 14 | | 18 | 5 | | 19 | 27 | | 20 | 18 | | 21 | 3 | | 22 | 6 | | 23 | 5 | | 24 | 4 | | 25 | 16 | | 26 | 14 | | 27 | 3 | | 28 | 2 | | 29 | 3 | | 30 | 22 | | 31 | 32 | | 32 | 6 | | 33 | 34 | | 34 | 12 | | 35 | 14 | | 36 | 25 | | 37 | 10 | | 38 | 3 | | 39 | 11 | | 40 | 43 | | 41 | 17 | | 42 | 3 | | 43 | 9 | | 44 | 18 | | 45 | 16 | | 46 | 4 | | 47 | 54 | | 48 | 15 | | 49 | 19 |
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| 72.94% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.45544554455445546 | | totalSentences | 101 | | uniqueOpeners | 46 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 66 | | matches | | 0 | "She'd received the call at" | | 1 | "She moved past the constable" | | 2 | "His face was frozen in" | | 3 | "He handed her an evidence" | | 4 | "She trailed off, adjusting her" | | 5 | "She crouched, tracing the pattern" | | 6 | "She walked back toward the" | | 7 | "She gestured to the ground" | | 8 | "He'd known what was coming." | | 9 | "she said slowly" | | 10 | "She pulled out her phone," | | 11 | "She'd heard whispers about it" | | 12 | "She tucked the bag into" | | 13 | "She walked toward the edge" | | 14 | "She would find the door." |
| | ratio | 0.227 | |
| 50.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 66 | | matches | | 0 | "The smell hit her first—copper" | | 1 | "Detective Harlow Quinn descended the" | | 2 | "This smell meant something had" | | 3 | "A uniformed constable appeared at" | | 4 | "The constable swallowed" | | 5 | "Quinn didn't bother asking what" | | 6 | "She'd received the call at" | | 7 | "The fact that they'd summoned" | | 8 | "She moved past the constable" | | 9 | "The old platform stretched before" | | 10 | "Someone had strung battery-powered lanterns" | | 11 | "Markham exchanged a glance with" | | 12 | "The woman carried a leather" | | 13 | "Quinn knelt beside the body." | | 14 | "His face was frozen in" | | 15 | "He handed her an evidence" | | 16 | "Quinn asked, though some part" | | 17 | "The smell, the strangeness, the" | | 18 | "The red-haired woman spoke for" | | 19 | "Kowalski pointed to the evidence" |
| | ratio | 0.818 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 3 | | matches | | 0 | "Detective Harlow Quinn descended the rusted stairs into the abandoned Camden Town tube station, her torch cutting through darkness that seemed thicker than natu…" | | 1 | "She'd received the call at three a.m., an unusual courtesy from her superintendent that had raised her hackles immediately." | | 2 | "The compass inside seemed to catch the lantern light strangely, as if the verdigris was trying to spread." |
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| 56.82% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 3 | | matches | | 0 | "constable appeared, his face pale in the beam of his own torch" | | 1 | "Markham looked up, his mustache twitching with poorly concealed relief" | | 2 | "haired woman spoke, her voice steady despite the dark circles under her eyes" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "haired woman spoke (hair speak)" |
| | dialogueSentences | 50 | | tagDensity | 0.12 | | leniency | 0.24 | | rawRatio | 0.167 | | effectiveRatio | 0.04 | |