| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.583 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 628 | | 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) | |
| 76.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 628 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "scanned" | | 1 | "stomach" | | 2 | "pulsed" |
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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 | 66 | | matches | (empty) | |
| 77.92% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 66 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 71 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 25 | | 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 | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 79.82% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 570 | | uniqueNames | 9 | | maxNameDensity | 1.4 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 8 | | Soho | 1 | | Morris | 5 | | Veil | 1 | | Market | 1 | | Raven | 1 | | Nest | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Market" | | 4 | "Raven" |
| | places | | | globalScore | 0.798 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 4 | | matches | | 0 | "seemed optional" | | 1 | "as if hitting an invisible ceiling" | | 2 | "looked like eyeballs rolled past her feet" | | 3 | "sign that seemed to watch passersby" |
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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 | 71 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 27 | | std | 14.84 | | cv | 0.55 | | sampleLengths | | 0 | 54 | | 1 | 13 | | 2 | 37 | | 3 | 59 | | 4 | 3 | | 5 | 34 | | 6 | 27 | | 7 | 50 | | 8 | 3 | | 9 | 29 | | 10 | 34 | | 11 | 24 | | 12 | 34 | | 13 | 16 | | 14 | 29 | | 15 | 10 | | 16 | 17 | | 17 | 36 | | 18 | 18 | | 19 | 32 | | 20 | 13 | | 21 | 36 | | 22 | 13 |
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| 99.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 66 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 97 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 71 | | ratio | 0.085 | | matches | | 0 | "Ahead, the suspect—a wiry figure in a dark hooded jacket—vanished around a corner near a derelict theatre." | | 1 | "The suspect hadn't just run—they'd evaporated into the alley walls like mist." | | 2 | "Then she saw it—a barely perceptible distortion in the air near a boarded-up shopfront, like heat rising from pavement on a summer's day." | | 3 | "And entry required a bone token—something the suspect clearly possessed." | | 4 | "And at the center of it all, the suspect haggled with a cloaked figure over a small, white object that looked suspiciously like—" | | 5 | "The tattoo on her wrist—a stylized raven—matched the one in Morris's case file." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 580 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.029310344827586206 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.010344827586206896 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 71 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 71 | | mean | 8.75 | | std | 5.11 | | cv | 0.584 | | sampleLengths | | 0 | 15 | | 1 | 22 | | 2 | 17 | | 3 | 13 | | 4 | 11 | | 5 | 9 | | 6 | 5 | | 7 | 12 | | 8 | 11 | | 9 | 7 | | 10 | 4 | | 11 | 14 | | 12 | 23 | | 13 | 3 | | 14 | 10 | | 15 | 7 | | 16 | 7 | | 17 | 10 | | 18 | 3 | | 19 | 10 | | 20 | 14 | | 21 | 4 | | 22 | 13 | | 23 | 4 | | 24 | 6 | | 25 | 23 | | 26 | 3 | | 27 | 5 | | 28 | 4 | | 29 | 4 | | 30 | 16 | | 31 | 3 | | 32 | 9 | | 33 | 10 | | 34 | 12 | | 35 | 6 | | 36 | 1 | | 37 | 4 | | 38 | 1 | | 39 | 4 | | 40 | 1 | | 41 | 7 | | 42 | 11 | | 43 | 4 | | 44 | 19 | | 45 | 12 | | 46 | 4 | | 47 | 13 | | 48 | 16 | | 49 | 7 |
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| 79.41% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.5294117647058824 | | totalSentences | 68 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 62 | | matches | | 0 | "Then she saw it—a barely" | | 1 | "Always know your exit." | | 2 | "Somewhere in this labyrinth of" |
| | ratio | 0.048 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 6 | | totalSentences | 62 | | matches | | 0 | "Her breath came in ragged" | | 1 | "Her worn leather watch slapped" | | 2 | "She'd heard whispers about this" | | 3 | "Her gut screamed pursuit." | | 4 | "She stepped forward." | | 5 | "Its green neon sign that" |
| | ratio | 0.097 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 62 | | matches | | 0 | "Rain lashed against Detective Harlow" | | 1 | "Her breath came in ragged" | | 2 | "Quinn yelled, though the words" | | 3 | "Her worn leather watch slapped" | | 4 | "This one led somewhere interesting." | | 5 | "The suspect hadn't just run—they'd" | | 6 | "The alley opened into a" | | 7 | "Quinn scanned the area, her" | | 8 | "The Veil Market." | | 9 | "She'd heard whispers about this" | | 10 | "A decision point." | | 11 | "Protocol demanded backup, but the" | | 12 | "The distortion rippled again." | | 13 | "A glimpse of shadow-market stalls" | | 14 | "Creatures scuttled in cages." | | 15 | "A human finger." | | 16 | "Quinn's training warred with instinct." | | 17 | "The regulations screamed retreat." | | 18 | "Her gut screamed pursuit." | | 19 | "Morris had taught her to" |
| | ratio | 0.71 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 2 | | matches | | 0 | "A glimpse of shadow-market stalls beyond, displaying goods that made her stomach clench." | | 1 | "And at the center of it all, the suspect haggled with a cloaked figure over a small, white object that looked suspiciously like—" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn yelled, though the words were swallowed by the storm" | | 1 | "Quinn said, her voice steady despite the tremor in her hands" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "Quinn yelled (yell)" | | 1 | "the woman continued (continue)" | | 2 | "the woman taunted (taunt)" |
| | dialogueSentences | 12 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |