| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn said softly [softly]" |
| | dialogueSentences | 35 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.067 | | effectiveRatio | 0.057 | |
| 79.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1498 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "perfectly" | | 1 | "gently" | | 2 | "softly" | | 3 | "slowly" | | 4 | "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) | |
| 59.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1498 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "weight" | | 2 | "chill" | | 3 | "systematic" | | 4 | "glint" | | 5 | "standard" | | 6 | "etched" | | 7 | "intricate" | | 8 | "pristine" | | 9 | "facade" | | 10 | "could feel" |
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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 | 81 | | matches | (empty) | |
| 54.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 81 | | filterMatches | | | 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 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 61 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1498 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 70.19% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1065 | | uniqueNames | 11 | | maxNameDensity | 1.6 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Victorian | 2 | | Harlow | 2 | | Quinn | 17 | | Constable | 1 | | Miller | 8 | | Tube | 1 | | Morris | 1 | | Northern | 1 | | Line | 1 | | Blitz | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Constable" | | 3 | "Miller" | | 4 | "Morris" | | 5 | "Line" |
| | places | (empty) | | globalScore | 0.702 | | windowScore | 0.833 | |
| 5.07% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 4 | | matches | | 0 | "frost that seemed to emanate from the bone itself" | | 1 | "sigils that seemed to mock the eye, drawing the gaze into patterns that felt physically uncomfortable to look at for too long" | | 2 | "ad-center at a seemingly blank stretch of su" | | 3 | "felt like the purr of some massive, bur" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.668 | | wordCount | 1498 | | matches | | 0 | "not bruised or torn, but withered, like a leaf left too close to a flame" |
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| 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 | 40 | | mean | 37.45 | | std | 24.27 | | cv | 0.648 | | sampleLengths | | 0 | 48 | | 1 | 80 | | 2 | 91 | | 3 | 26 | | 4 | 55 | | 5 | 12 | | 6 | 32 | | 7 | 30 | | 8 | 13 | | 9 | 65 | | 10 | 68 | | 11 | 13 | | 12 | 7 | | 13 | 85 | | 14 | 64 | | 15 | 25 | | 16 | 23 | | 17 | 70 | | 18 | 8 | | 19 | 39 | | 20 | 37 | | 21 | 11 | | 22 | 74 | | 23 | 12 | | 24 | 45 | | 25 | 24 | | 26 | 53 | | 27 | 56 | | 28 | 12 | | 29 | 21 | | 30 | 14 | | 31 | 9 | | 32 | 21 | | 33 | 46 | | 34 | 37 | | 35 | 39 | | 36 | 3 | | 37 | 70 | | 38 | 34 | | 39 | 26 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 81 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 173 | | matches | | 0 | "was not pointing" | | 1 | "wasn't shaking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 101 | | ratio | 0.01 | | matches | | 0 | "It wasn't shaking or spinning like a damaged magnet; it was held in a vice-like grip, pointing dead-center at a seemingly blank stretch of subterranean wall." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1078 | | adjectiveStacks | 1 | | stackExamples | | 0 | "unmistakable, copper-sour tang" |
| | adverbCount | 33 | | adverbRatio | 0.030612244897959183 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.016697588126159554 | |
| 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 | 14.83 | | std | 10.46 | | cv | 0.705 | | sampleLengths | | 0 | 21 | | 1 | 27 | | 2 | 26 | | 3 | 27 | | 4 | 27 | | 5 | 18 | | 6 | 17 | | 7 | 56 | | 8 | 4 | | 9 | 13 | | 10 | 9 | | 11 | 22 | | 12 | 13 | | 13 | 20 | | 14 | 12 | | 15 | 14 | | 16 | 18 | | 17 | 6 | | 18 | 19 | | 19 | 5 | | 20 | 8 | | 21 | 5 | | 22 | 4 | | 23 | 61 | | 24 | 14 | | 25 | 54 | | 26 | 6 | | 27 | 7 | | 28 | 7 | | 29 | 12 | | 30 | 25 | | 31 | 7 | | 32 | 14 | | 33 | 27 | | 34 | 6 | | 35 | 10 | | 36 | 3 | | 37 | 15 | | 38 | 23 | | 39 | 7 | | 40 | 16 | | 41 | 9 | | 42 | 8 | | 43 | 15 | | 44 | 18 | | 45 | 12 | | 46 | 16 | | 47 | 24 | | 48 | 5 | | 49 | 3 |
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| 65.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.42574257425742573 | | totalSentences | 101 | | uniqueOpeners | 43 | |
| 42.74% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 78 | | matches | | 0 | "Instead, the mortar lines here" |
| | ratio | 0.013 | |
| 40.51% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 78 | | matches | | 0 | "She ran a hand through" | | 1 | "He stood near the archway" | | 2 | "She crouched beside the corpse," | | 3 | "Her joints popped in the" | | 4 | "He lay slumped against the" | | 5 | "His face was pale, almost" | | 6 | "She pulled a pair of" | | 7 | "She pointed a gloved finger" | | 8 | "It wasn't the cold of" | | 9 | "It was a localized, biting" | | 10 | "She had seen this kind" | | 11 | "She forced her breathing to" | | 12 | "She began a systematic search" | | 13 | "She slipped her fingers in" | | 14 | "It was a white disc," | | 15 | "It was smooth to the" | | 16 | "It felt strangely heavy, far" | | 17 | "She slid the token into" | | 18 | "She continued her sweep of" | | 19 | "It was a small brass" |
| | ratio | 0.449 | |
| 4.87% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 78 | | matches | | 0 | "Water dripped from a rusted" | | 1 | "The air in the deep" | | 2 | "Detective Harlow Quinn adjusted the" | | 3 | "She ran a hand through" | | 4 | "Detective Constable Miller said, blowing" | | 5 | "He stood near the archway" | | 6 | "Quinn didn't answer immediately." | | 7 | "She crouched beside the corpse," | | 8 | "Her joints popped in the" | | 9 | "The victim was young, mid-twenties," | | 10 | "He lay slumped against the" | | 11 | "His face was pale, almost" | | 12 | "Quinn asked, her voice low" | | 13 | "Miller said, gesturing confidently with" | | 14 | "Quinn leaned closer, her nose" | | 15 | "She pulled a pair of" | | 16 | "Miller shifted his weight, leaning" | | 17 | "She pointed a gloved finger" | | 18 | "Miller frowned, his easy confidence" | | 19 | "Quinn reached down and gently" |
| | ratio | 0.91 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 4 | | matches | | 0 | "The victim was young, mid-twenties, dressed in a high-end cashmere coat that was thoroughly out of place in a derelict Tube station." | | 1 | "The metal surrounding the glass was deeply etched with intricate, swirling sigils that seemed to mock the eye, drawing the gaze into patterns that felt physical…" | | 2 | "The sigils engraved around the rim seemed to catch the light of her torch, reflecting a faint, sickly violet hue that didn't match the yellow beam of the haloge…" | | 3 | "She could feel the faint vibration through the soles of her shoes now, a low, subsonic thrumming that felt like the purr of some massive, buried machine." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn asked, her voice low and raspy" | | 1 | "Quinn interrupted, her voice sharp as glass" | | 2 | "Quinn ordered, her voice brooking no argument" |
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| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 5 | | fancyTags | | 0 | "Quinn corrected (correct)" | | 1 | "Miller muttered (mutter)" | | 2 | "Quinn murmured (murmur)" | | 3 | "Quinn interrupted (interrupt)" | | 4 | "Quinn ordered (order)" |
| | dialogueSentences | 35 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.357 | | effectiveRatio | 0.286 | |