| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 1 | | adverbTags | | 0 | "His gaze flickered around [around]" |
| | dialogueSentences | 27 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.167 | | effectiveRatio | 0.074 | |
| 92.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1399 | | totalAiIsmAdverbs | 2 | | 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) | |
| 39.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1399 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "cascading" | | 1 | "electric" | | 2 | "weight" | | 3 | "familiar" | | 4 | "scanned" | | 5 | "cacophony" | | 6 | "resolving" | | 7 | "echoed" | | 8 | "glint" | | 9 | "constructed" | | 10 | "velvet" | | 11 | "pulsed" | | 12 | "tapestry" | | 13 | "pristine" | | 14 | "etched" | | 15 | "flickered" | | 16 | "unreadable" |
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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 | 127 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 127 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 147 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 5 | | totalWords | 1392 | | ratio | 0.004 | | matches | | 0 | "The Raven’s Nest" | | 1 | "Muy mala" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1190 | | uniqueNames | 12 | | maxNameDensity | 0.84 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 10 | | Soho | 1 | | Morris | 3 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Raven | 2 | | Tomás | 5 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Nest | 2 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Market" | | 3 | "Raven" | | 4 | "Tomás" | | 5 | "Herrera" | | 6 | "Saint" | | 7 | "Christopher" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like human skin" |
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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 | 1392 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 147 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 30.26 | | std | 21.17 | | cv | 0.7 | | sampleLengths | | 0 | 47 | | 1 | 3 | | 2 | 81 | | 3 | 37 | | 4 | 35 | | 5 | 5 | | 6 | 77 | | 7 | 57 | | 8 | 11 | | 9 | 25 | | 10 | 16 | | 11 | 2 | | 12 | 65 | | 13 | 39 | | 14 | 1 | | 15 | 19 | | 16 | 8 | | 17 | 5 | | 18 | 11 | | 19 | 32 | | 20 | 44 | | 21 | 32 | | 22 | 19 | | 23 | 39 | | 24 | 40 | | 25 | 25 | | 26 | 55 | | 27 | 83 | | 28 | 49 | | 29 | 22 | | 30 | 35 | | 31 | 29 | | 32 | 20 | | 33 | 5 | | 34 | 45 | | 35 | 5 | | 36 | 24 | | 37 | 24 | | 38 | 50 | | 39 | 15 | | 40 | 8 | | 41 | 28 | | 42 | 36 | | 43 | 54 | | 44 | 12 | | 45 | 18 |
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| 99.74% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 127 | | matches | | |
| 58.16% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 188 | | matches | | 0 | "was leading" | | 1 | "wasn't looking" | | 2 | "was looking" | | 3 | "was running" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 147 | | ratio | 0.007 | | matches | | 0 | "A faint, coppery scent mixed with something else—ozone and old herbs—wafted from the opening." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1197 | | adjectiveStacks | 1 | | stackExamples | | 0 | "low, magical current, smelling" |
| | adverbCount | 25 | | adverbRatio | 0.020885547201336674 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.005847953216374269 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 147 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 147 | | mean | 9.47 | | std | 5.99 | | cv | 0.633 | | sampleLengths | | 0 | 15 | | 1 | 14 | | 2 | 18 | | 3 | 3 | | 4 | 6 | | 5 | 13 | | 6 | 19 | | 7 | 11 | | 8 | 16 | | 9 | 7 | | 10 | 9 | | 11 | 11 | | 12 | 13 | | 13 | 6 | | 14 | 3 | | 15 | 4 | | 16 | 5 | | 17 | 6 | | 18 | 8 | | 19 | 3 | | 20 | 8 | | 21 | 2 | | 22 | 3 | | 23 | 5 | | 24 | 7 | | 25 | 4 | | 26 | 6 | | 27 | 3 | | 28 | 13 | | 29 | 14 | | 30 | 12 | | 31 | 11 | | 32 | 7 | | 33 | 10 | | 34 | 21 | | 35 | 8 | | 36 | 18 | | 37 | 3 | | 38 | 8 | | 39 | 7 | | 40 | 14 | | 41 | 4 | | 42 | 2 | | 43 | 4 | | 44 | 7 | | 45 | 3 | | 46 | 2 | | 47 | 19 | | 48 | 5 | | 49 | 20 |
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| 38.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.30612244897959184 | | totalSentences | 147 | | uniqueOpeners | 45 | |
| 28.01% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 119 | | matches | | 0 | "Then she turned and disappeared" |
| | ratio | 0.008 | |
| 51.93% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 50 | | totalSentences | 119 | | matches | | 0 | "Her shout dissolved into the" | | 1 | "He moved with a frantic," | | 2 | "Her hand went to her" | | 3 | "He was leading her somewhere" | | 4 | "He vanished around a corner." | | 5 | "She rounded the bend and" | | 6 | "She scanned the walls, the" | | 7 | "It was slightly ajar, a" | | 8 | "She holstered her weapon and" | | 9 | "She hooked her fingers into" | | 10 | "It swung open on silent," | | 11 | "It was the smell from" | | 12 | "Her comms crackled." | | 13 | "She keyed the mic, her" | | 14 | "She stared into the abyss" | | 15 | "They’d pull her out." | | 16 | "They’d call it too risky," | | 17 | "They always did." | | 18 | "He was huge, shoulders straining" | | 19 | "Their eyes met for a" |
| | ratio | 0.42 | |
| 23.03% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 104 | | totalSentences | 119 | | matches | | 0 | "The man’s shoulder slammed into" | | 1 | "Harlow Quinn vaulted over the" | | 2 | "The neon signs of Soho" | | 3 | "Her shout dissolved into the" | | 4 | "The suspect, a gaunt figure" | | 5 | "He moved with a frantic," | | 6 | "Quinn followed, her breath a" | | 7 | "Her hand went to her" | | 8 | "The alley narrowed, a canyon" | | 9 | "The smell of rotting food" | | 10 | "He was leading her somewhere" | | 11 | "This wasn’t panic." | | 12 | "This was a route." | | 13 | "He vanished around a corner." | | 14 | "Quinn pushed harder, her lungs" | | 15 | "She rounded the bend and" | | 16 | "A dead end." | | 17 | "The rain pattered on the" | | 18 | "Quinn’s sharp jaw tightened." | | 19 | "She scanned the walls, the" |
| | ratio | 0.874 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 119 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 4 | | matches | | 0 | "she said, her voice dropping into the space between them" | | 1 | "She tried, but his grip was firm, professional" | | 2 | "His gaze flickered around, nervous" | | 3 | "he said, his voice low and urgent" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.074 | | leniency | 0.148 | | rawRatio | 0 | | effectiveRatio | 0 | |