| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.391 | | leniency | 0.783 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.94% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 620 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 620 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "gloom" | | 1 | "etched" | | 2 | "standard" | | 3 | "scanning" | | 4 | "electric" | | 5 | "flickered" | | 6 | "trembled" | | 7 | "footsteps" | | 8 | "pulsed" | | 9 | "rhythmic" | | 10 | "vibrated" | | 11 | "stark" | | 12 | "whisper" |
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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 | 63 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 77 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 616 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 32.23% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 467 | | uniqueNames | 6 | | maxNameDensity | 2.36 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Carter" | | discoveredNames | | Tube | 1 | | Carter | 7 | | Town | 1 | | Quinn | 11 | | Kowalski | 1 | | Eva | 4 |
| | persons | | 0 | "Carter" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Eva" |
| | places | | | globalScore | 0.322 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 34 | | 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 | 616 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 20.53 | | std | 12.34 | | cv | 0.601 | | sampleLengths | | 0 | 44 | | 1 | 30 | | 2 | 34 | | 3 | 39 | | 4 | 25 | | 5 | 43 | | 6 | 36 | | 7 | 8 | | 8 | 14 | | 9 | 9 | | 10 | 26 | | 11 | 25 | | 12 | 29 | | 13 | 5 | | 14 | 16 | | 15 | 9 | | 16 | 24 | | 17 | 13 | | 18 | 33 | | 19 | 4 | | 20 | 27 | | 21 | 19 | | 22 | 3 | | 23 | 3 | | 24 | 33 | | 25 | 6 | | 26 | 11 | | 27 | 24 | | 28 | 9 | | 29 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 81 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 77 | | ratio | 0.013 | | matches | | 0 | "But the air hummed with something else—something electric, like the charge before a storm." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 471 | | adjectiveStacks | 1 | | stackExamples | | 0 | "stark against pale skin." |
| | adverbCount | 17 | | adverbRatio | 0.036093418259023353 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.010615711252653927 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 77 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 77 | | mean | 8 | | std | 4.81 | | cv | 0.601 | | sampleLengths | | 0 | 10 | | 1 | 13 | | 2 | 21 | | 3 | 10 | | 4 | 9 | | 5 | 11 | | 6 | 5 | | 7 | 7 | | 8 | 4 | | 9 | 18 | | 10 | 6 | | 11 | 14 | | 12 | 15 | | 13 | 4 | | 14 | 5 | | 15 | 20 | | 16 | 4 | | 17 | 5 | | 18 | 12 | | 19 | 7 | | 20 | 15 | | 21 | 5 | | 22 | 12 | | 23 | 2 | | 24 | 14 | | 25 | 3 | | 26 | 8 | | 27 | 2 | | 28 | 12 | | 29 | 5 | | 30 | 4 | | 31 | 3 | | 32 | 19 | | 33 | 4 | | 34 | 15 | | 35 | 10 | | 36 | 6 | | 37 | 7 | | 38 | 16 | | 39 | 5 | | 40 | 3 | | 41 | 13 | | 42 | 7 | | 43 | 2 | | 44 | 3 | | 45 | 15 | | 46 | 6 | | 47 | 2 | | 48 | 11 | | 49 | 9 |
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| 65.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4155844155844156 | | totalSentences | 77 | | uniqueOpeners | 32 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 54 | | matches | | 0 | "Just a small brass compass" | | 1 | "Then, a voice." |
| | ratio | 0.037 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 54 | | matches | | 0 | "His tie was loose, sleeves" | | 1 | "She pried the compass free," | | 2 | "She stood, scanning the platform." | | 3 | "Her torch flickered." | | 4 | "He hesitated, then shot Quinn" | | 5 | "She was too busy watching" | | 6 | "She turned the compass over." | | 7 | "They were a ward." | | 8 | "She stood, backing away." | | 9 | "She adjusted her round glasses," | | 10 | "She nodded at the body" |
| | ratio | 0.204 | |
| 34.07% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 54 | | matches | | 0 | "The abandoned Tube station smelled" | | 1 | "Quinn stepped over the police" | | 2 | "The beam of her torch" | | 3 | "DS Carter didn’t look up" | | 4 | "His tie was loose, sleeves" | | 5 | "Quinn crouched beside the victim." | | 6 | "She pried the compass free," | | 7 | "The sigils etched into the" | | 8 | "Carter exhaled through his nose." | | 9 | "Quinn ignored the jab." | | 10 | "The body lay too neatly." | | 11 | "The man’s expression was calm," | | 12 | "She stood, scanning the platform." | | 13 | "The station’s old signs still" | | 14 | "Her torch flickered." | | 15 | "Carter’s smirk faltered." | | 16 | "The shadows along the platform’s" | | 17 | "Carter adjusted his tie, but" | | 18 | "Quinn stepped closer to the" | | 19 | "The compass in her hand" |
| | ratio | 0.852 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 58.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 17 | | technicalSentenceCount | 2 | | matches | | 0 | "Just a small brass compass clutched in his right hand, its needle spinning lazily before settling on nothing." | | 1 | "Not the face of someone who’d just hurled themselves in front of a non-existent train." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "Carter adjusted, but his fingers trembled" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 23 | | tagDensity | 0.174 | | leniency | 0.348 | | rawRatio | 0.25 | | effectiveRatio | 0.087 | |