| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.467 | | leniency | 0.933 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 78.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 928 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "carefully" | | 2 | "suddenly" |
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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) | |
| 73.06% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 928 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "measured" | | 1 | "pristine" | | 2 | "etched" | | 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) | |
| 65.64% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 74 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 921 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 839 | | uniqueNames | 8 | | maxNameDensity | 1.91 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 16 | | Morris | 4 | | Tube | 1 | | Camden | 1 | | Kowalski | 1 | | Eva | 7 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Camden" | | 4 | "Kowalski" | | 5 | "Eva" | | 6 | "Market" |
| | places | (empty) | | globalScore | 0.546 | | windowScore | 0.5 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed excessive for a man this size, and the positioning—angled too steeply, driven with force rather than the lazy collapse of a user seeking escape" | | 1 | "patterns that seemed to shift when viewed from the corner of the eye" | | 2 | "seemed thicker than they should be, she felt the first crack in her certainty" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 3.257 | | wordCount | 921 | | matches | | 0 | "not north, not anywhere fixed, but pointing toward the tunnel's darkness with frantic insistenc" | | 1 | "not anywhere fixed, but pointing toward the tunnel's darkness with frantic insistenc" | | 2 | "not at the tunnel, but at the body itself" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 29.71 | | std | 20.15 | | cv | 0.678 | | sampleLengths | | 0 | 80 | | 1 | 37 | | 2 | 57 | | 3 | 4 | | 4 | 57 | | 5 | 6 | | 6 | 19 | | 7 | 63 | | 8 | 13 | | 9 | 19 | | 10 | 37 | | 11 | 2 | | 12 | 60 | | 13 | 13 | | 14 | 35 | | 15 | 48 | | 16 | 27 | | 17 | 34 | | 18 | 13 | | 19 | 22 | | 20 | 44 | | 21 | 35 | | 22 | 3 | | 23 | 5 | | 24 | 12 | | 25 | 46 | | 26 | 10 | | 27 | 33 | | 28 | 14 | | 29 | 42 | | 30 | 31 |
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| 95.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 74 | | matches | | 0 | "been sealed" | | 1 | "were clenched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 138 | | matches | | 0 | "was tucking" | | 1 | "was watching" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 82 | | ratio | 0.098 | | matches | | 0 | "A textbook overdose—foaming at the mouth, the acrid smell of vomit, a hypodermic needle still lodged in the crook of his elbow." | | 1 | "The plunger was fully depressed, yes, but the dosage seemed excessive for a man this size, and the positioning—angled too steeply, driven with force rather than the lazy collapse of a user seeking escape." | | 2 | "She was tucking a curl of red hair behind her left ear—a nervous habit, Quinn noted, third time since she'd arrived." | | 3 | "But the face was pristine, etched with protective sigils that caught the torchlight—geometric patterns that seemed to shift when viewed from the corner of the eye." | | 4 | "She'd filed them alongside Morris's final report—superstitious nonsense meant to explain away a death that had no logical explanation." | | 5 | "But in the jacket lining, stitched into the fabric, she found it—a small token carved from bone, etched with the same sigils as the compass." | | 6 | "Or rather, at something clutched in the dead man's other hand—a scrap of paper, half-swallowed by his fist." | | 7 | "The third—" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 853 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.03399765533411489 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.010550996483001172 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 11.23 | | std | 8.16 | | cv | 0.726 | | sampleLengths | | 0 | 23 | | 1 | 22 | | 2 | 1 | | 3 | 34 | | 4 | 5 | | 5 | 28 | | 6 | 3 | | 7 | 1 | | 8 | 15 | | 9 | 8 | | 10 | 22 | | 11 | 12 | | 12 | 4 | | 13 | 11 | | 14 | 12 | | 15 | 34 | | 16 | 3 | | 17 | 3 | | 18 | 10 | | 19 | 9 | | 20 | 16 | | 21 | 26 | | 22 | 21 | | 23 | 4 | | 24 | 9 | | 25 | 3 | | 26 | 9 | | 27 | 7 | | 28 | 4 | | 29 | 15 | | 30 | 10 | | 31 | 8 | | 32 | 2 | | 33 | 16 | | 34 | 26 | | 35 | 18 | | 36 | 5 | | 37 | 8 | | 38 | 5 | | 39 | 18 | | 40 | 12 | | 41 | 5 | | 42 | 4 | | 43 | 20 | | 44 | 19 | | 45 | 27 | | 46 | 5 | | 47 | 2 | | 48 | 2 | | 49 | 25 |
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| 54.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.36585365853658536 | | totalSentences | 82 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 63 | | matches | | 0 | "She stepped onto the platform." | | 1 | "She crouched, ignoring the protest" | | 2 | "She looked up." | | 3 | "She was tucking a curl" | | 4 | "Her green eyes darted to" | | 5 | "She knelt again, prying the" | | 6 | "It was no larger than" | | 7 | "She had moved closer, close" | | 8 | "She'd heard rumors, whispers in" | | 9 | "She'd filed them alongside Morris's" | | 10 | "She searched the body's pockets." | | 11 | "It pointed now, steady and" | | 12 | "She extracted it carefully." | | 13 | "She stopped breathing." | | 14 | "It wasn't a question." | | 15 | "She stepped over the tape," |
| | ratio | 0.254 | |
| 63.17% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 63 | | matches | | 0 | "The stairs down to the" | | 1 | "Detective Harlow Quinn descended with" | | 2 | "She stepped onto the platform." | | 3 | "The abandoned Tube station beneath" | | 4 | "The body lay curled against" | | 5 | "A textbook overdose—foaming at the" | | 6 | "Uniforms had already taped off" | | 7 | "Quinn approached slowly, her military" | | 8 | "She crouched, ignoring the protest" | | 9 | "The plunger was fully depressed," | | 10 | "She looked up." | | 11 | "A voice came from the" | | 12 | "Eva Kowalski stepped into the" | | 13 | "The research assistant clutched her" | | 14 | "She was tucking a curl" | | 15 | "Quinn repeated, standing" | | 16 | "Her green eyes darted to" | | 17 | "Quinn followed her gaze." | | 18 | "The dead man's hands were" | | 19 | "She knelt again, prying the" |
| | 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 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 7 | | matches | | 0 | "Detective Harlow Quinn descended with her hand trailing along the cold iron railing, her worn leather watch strap catching on the rivets." | | 1 | "The research assistant clutched her worn leather satchel to her chest as if it were armor, books heavy enough to tilt her posture to the left." | | 2 | "But the face was pristine, etched with protective sigils that caught the torchlight—geometric patterns that seemed to shift when viewed from the corner of the e…" | | 3 | "She'd heard rumors, whispers in the department about an underground exchange that moved locations, that required bone tokens for entry." | | 4 | "She'd filed them alongside Morris's final report—superstitious nonsense meant to explain away a death that had no logical explanation." | | 5 | "Quinn stood slowly, her military bearing suddenly rigid, her hand closing around the compass until the brass edges bit into her palm." | | 6 | "Behind her, Eva followed, the leather of her satchel creaking with the weight of books and history and things that should not exist but did." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn said, her voice precise and clean as a blade" |
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| 16.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn repeated (repeat)" | | 1 | "Eva whispered (whisper)" |
| | dialogueSentences | 15 | | tagDensity | 0.467 | | leniency | 0.933 | | rawRatio | 0.286 | | effectiveRatio | 0.267 | |