| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "She knelt again [again]" |
| | dialogueSentences | 36 | | tagDensity | 0.306 | | leniency | 0.611 | | rawRatio | 0.091 | | effectiveRatio | 0.056 | |
| 95.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1190 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 91.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1190 | | totalAiIsms | 2 | | found | | | highlights | | |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "blood ran cold" | | 1 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 92 | | matches | (empty) | |
| 96.27% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 92 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 10 | | markdownWords | 18 | | totalWords | 1171 | | ratio | 0.015 | | matches | | 0 | "Camden Town West" | | 1 | "cold" | | 2 | "The Demonologists’ Handbook" | | 3 | "this" | | 4 | "killed" | | 5 | "Ignis inferni, roga sanguinem" | | 6 | "trap" | | 7 | "him" | | 8 | "heated up" | | 9 | "hell" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 52.09% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 766 | | uniqueNames | 4 | | maxNameDensity | 1.96 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 2 | | Town | 1 | | Quinn | 15 | | Torres | 11 |
| | persons | | | places | | | globalScore | 0.521 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1171 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 115 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 27.23 | | std | 21.01 | | cv | 0.771 | | sampleLengths | | 0 | 73 | | 1 | 1 | | 2 | 76 | | 3 | 34 | | 4 | 69 | | 5 | 13 | | 6 | 12 | | 7 | 21 | | 8 | 33 | | 9 | 11 | | 10 | 45 | | 11 | 45 | | 12 | 23 | | 13 | 15 | | 14 | 9 | | 15 | 57 | | 16 | 58 | | 17 | 3 | | 18 | 69 | | 19 | 13 | | 20 | 51 | | 21 | 40 | | 22 | 43 | | 23 | 28 | | 24 | 15 | | 25 | 39 | | 26 | 35 | | 27 | 1 | | 28 | 5 | | 29 | 36 | | 30 | 13 | | 31 | 8 | | 32 | 10 | | 33 | 28 | | 34 | 11 | | 35 | 26 | | 36 | 18 | | 37 | 4 | | 38 | 5 | | 39 | 36 | | 40 | 25 | | 41 | 4 | | 42 | 10 |
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| 93.82% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 92 | | matches | | 0 | "were found" | | 1 | "were fixed" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 150 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 19 | | semicolonCount | 0 | | flaggedSentences | 15 | | totalSentences | 115 | | ratio | 0.13 | | matches | | 0 | "The Tube station’s name—*Camden Town West*—chalked in faded white on a rusted plate hung crookedly above the service door." | | 1 | "Quinn’s boot crunched on a cracked ceramic plate—glazed blue, crumbled edges." | | 2 | "Her thumb rubbed the edge of her watch band—scuffed leather, a scratch from a knife that never found its mark." | | 3 | "Quinn’s fingers brushed the jawline—sharp, unbroken." | | 4 | "She stepped over a toppled rack of leather satchels—torn, books spilled." | | 5 | "Quinn flipped it to the illustration—three hooded figures, a sigil between them." | | 6 | "The beam of her flashlight hit a shadow—painted, but old, chipped." | | 7 | "Faint, beneath the paint, was another mark—small, curved, like a bite." | | 8 | "“No windows, no doors jammed. Foam on his lips, tongue black. Coroner called it a heart attack. But the lab found *this*.” She pulled a photo from her pocket—stained, smudged." | | 9 | "Not a train—too low, too wet." | | 10 | "Quinn’s compass—hidden in her coat, a small brass thing with a needle that never pointed north—jerked." | | 11 | "Not warm—hot, like a brand." | | 12 | "The wolf token—now a charred, broken mess—rolled across the brick." | | 13 | "The body’s hand—now a claw, black and segmented—reached for her." | | 14 | "Quinn tugged at her bonds—leather, new, untouched." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 734 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.02316076294277929 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005449591280653951 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 10.18 | | std | 6.9 | | cv | 0.678 | | sampleLengths | | 0 | 19 | | 1 | 12 | | 2 | 14 | | 3 | 12 | | 4 | 16 | | 5 | 1 | | 6 | 11 | | 7 | 14 | | 8 | 10 | | 9 | 4 | | 10 | 11 | | 11 | 2 | | 12 | 2 | | 13 | 16 | | 14 | 6 | | 15 | 11 | | 16 | 5 | | 17 | 18 | | 18 | 7 | | 19 | 20 | | 20 | 15 | | 21 | 12 | | 22 | 15 | | 23 | 13 | | 24 | 6 | | 25 | 6 | | 26 | 3 | | 27 | 3 | | 28 | 12 | | 29 | 3 | | 30 | 7 | | 31 | 26 | | 32 | 5 | | 33 | 6 | | 34 | 6 | | 35 | 39 | | 36 | 11 | | 37 | 13 | | 38 | 12 | | 39 | 9 | | 40 | 5 | | 41 | 18 | | 42 | 15 | | 43 | 6 | | 44 | 3 | | 45 | 14 | | 46 | 11 | | 47 | 21 | | 48 | 11 | | 49 | 14 |
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| 43.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3130434782608696 | | totalSentences | 115 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 88 | | matches | | 0 | "She stepped into darkness, fumbling" | | 1 | "She shifted closer, flashlight shaking." | | 2 | "Her thumb rubbed the edge" | | 3 | "She knelt, gloved hand hovering" | | 4 | "She leaned in." | | 5 | "She stepped over a toppled" | | 6 | "she said, more to herself" | | 7 | "She pulled a photo from" | | 8 | "She knelt again, gently prying" | | 9 | "She traced the wolf’s eye" | | 10 | "She turned, the token held" | | 11 | "She fumbled it out, flipped" | | 12 | "she said, her voice tight" | | 13 | "She tapped the needle" | | 14 | "She knelt again, the compass" | | 15 | "She dropped it, backing away." | | 16 | "Her eyes were fixed on" | | 17 | "It looked at her, and" | | 18 | "it said, in a voice" | | 19 | "She stepped back, tripping over" |
| | ratio | 0.261 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 88 | | matches | | 0 | "The Tube station’s name—*Camden Town" | | 1 | "Harlow Quinn pushed it open," | | 2 | "The air smelled of damp" | | 3 | "She stepped into darkness, fumbling" | | 4 | "The beam skittered over graffiti" | | 5 | "Quinn’s boot crunched on a" | | 6 | "A jar of something black," | | 7 | "The body lay on its" | | 8 | "A wool sweater, threadbare at" | | 9 | "She shifted closer, flashlight shaking." | | 10 | "Quinn didn’t look away from" | | 11 | "Her thumb rubbed the edge" | | 12 | "She knelt, gloved hand hovering" | | 13 | "The fabric rippled, faintly, as" | | 14 | "Quinn’s fingers brushed the jawline—sharp," | | 15 | "Torres’s breath hitched." | | 16 | "She leaned in." | | 17 | "The skin at the victim’s" | | 18 | "Quinn stood, her chair scraping" | | 19 | "Torres fumbled with her phone." |
| | ratio | 0.875 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 1 | | matches | | 0 | "The sigil was there: four overlapping circles, a pentagram inside, but smudged, as if someone had tried to rub it out." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 4 | | matches | | 0 | "said DS Torres, her voice tight" | | 1 | "she said, more to herself than to Torres" | | 2 | "she said, her voice tight" | | 3 | "Torres yelled, but her voice was distant" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 36 | | tagDensity | 0.139 | | leniency | 0.278 | | rawRatio | 0.2 | | effectiveRatio | 0.056 | |