| 78.79% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 2 | | adverbTags | | 0 | "Eva said cautiously [cautiously]" | | 1 | "Eva said softly [softly]" |
| | dialogueSentences | 33 | | tagDensity | 0.394 | | leniency | 0.788 | | rawRatio | 0.154 | | effectiveRatio | 0.121 | |
| 71.06% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 864 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "cautiously" | | 1 | "sharply" | | 2 | "softly" | | 3 | "slowly" |
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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) | |
| 42.13% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 864 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "shattered" | | 1 | "gleaming" | | 2 | "vibrated" | | 3 | "etched" | | 4 | "trembled" | | 5 | "electric" | | 6 | "flicker" | | 7 | "tension" | | 8 | "echoed" |
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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 | 1 | | narrationSentences | 56 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 56 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 75 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 868 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 543 | | uniqueNames | 11 | | maxNameDensity | 2.58 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 14 | | Greek | 1 | | Kowalski | 1 | | Tube | 1 | | Camden | 1 | | Veil | 1 | | Market | 1 | | Davies | 6 | | Eva | 9 | | Shade | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Davies" | | 4 | "Eva" |
| | places | (empty) | | globalScore | 0.211 | | windowScore | 0.167 | |
| 80.56% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | glossingSentenceCount | 1 | | matches | | 0 | "as if probing for life" |
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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 | 868 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 24.8 | | std | 17.27 | | cv | 0.696 | | sampleLengths | | 0 | 79 | | 1 | 38 | | 2 | 28 | | 3 | 65 | | 4 | 37 | | 5 | 24 | | 6 | 57 | | 7 | 14 | | 8 | 9 | | 9 | 41 | | 10 | 45 | | 11 | 19 | | 12 | 40 | | 13 | 28 | | 14 | 15 | | 15 | 5 | | 16 | 22 | | 17 | 41 | | 18 | 13 | | 19 | 25 | | 20 | 32 | | 21 | 18 | | 22 | 4 | | 23 | 7 | | 24 | 12 | | 25 | 7 | | 26 | 29 | | 27 | 8 | | 28 | 14 | | 29 | 13 | | 30 | 18 | | 31 | 13 | | 32 | 17 | | 33 | 14 | | 34 | 17 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 56 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 92 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 75 | | ratio | 0.053 | | matches | | 0 | "A cryptic symbol, smeared hastily in white chalk on the soot-streaked brick wall, caught her eye — a backwards Greek letter, almost mocking." | | 1 | "“Intentional or not, it’s out of place.” She swept her gaze around the cavernous space — an abandoned Tube station beneath Camden — the site of the Veil Market when the bone token glowed true and the full moon struck silver." | | 2 | "The compass in Quinn’s pocket vibrated subtly — the little brass tool crafted by a Shade artisan, etched with protective sigils and stained with verdigris." | | 3 | "“Aye, but ghosts leave footprints.” She raised a finger toward a cluster of scuff marks along the platform edge — muddy, but oddly fresh." |
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| 87.89% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 539 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.04638218923933209 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.027829313543599257 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 75 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 75 | | mean | 11.57 | | std | 7.84 | | cv | 0.677 | | sampleLengths | | 0 | 23 | | 1 | 13 | | 2 | 7 | | 3 | 13 | | 4 | 23 | | 5 | 13 | | 6 | 25 | | 7 | 28 | | 8 | 5 | | 9 | 19 | | 10 | 41 | | 11 | 15 | | 12 | 22 | | 13 | 7 | | 14 | 17 | | 15 | 13 | | 16 | 25 | | 17 | 19 | | 18 | 6 | | 19 | 8 | | 20 | 4 | | 21 | 5 | | 22 | 24 | | 23 | 17 | | 24 | 8 | | 25 | 18 | | 26 | 19 | | 27 | 4 | | 28 | 15 | | 29 | 4 | | 30 | 12 | | 31 | 6 | | 32 | 18 | | 33 | 4 | | 34 | 24 | | 35 | 9 | | 36 | 6 | | 37 | 5 | | 38 | 2 | | 39 | 20 | | 40 | 6 | | 41 | 19 | | 42 | 16 | | 43 | 6 | | 44 | 2 | | 45 | 5 | | 46 | 5 | | 47 | 20 | | 48 | 3 | | 49 | 29 |
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| 78.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.48 | | totalSentences | 75 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 50 | | matches | | 0 | "Her gloved fingers hovered just" | | 1 | "Her green eyes darted between" | | 2 | "She rose, her sharp jaw" | | 3 | "She swept her gaze around" | | 4 | "She raised a finger toward" | | 5 | "She tapped her satchel, pulling" | | 6 | "Her eyes locked on Davies," | | 7 | "she barked, drawing her baton" |
| | ratio | 0.16 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 50 | | matches | | 0 | "Detective Harlow Quinn crouched beside" | | 1 | "Her gloved fingers hovered just" | | 2 | "Something about this scene stank" | | 3 | "The faint coppery scent of" | | 4 | "A cryptic symbol, smeared hastily" | | 5 | "Eva Kowalski adjusted her round" | | 6 | "Her green eyes darted between" | | 7 | "Eva said cautiously, voice barely" | | 8 | "Quinn didn’t glance at her." | | 9 | "She rose, her sharp jaw" | | 10 | "She swept her gaze around" | | 11 | "Davies, a colleague in uniform," | | 12 | "Quinn’s voice was a low" | | 13 | "Eva’s lips parted to reply" | | 14 | "The compass in Quinn’s pocket" | | 15 | "The needle trembled, then jerked" | | 16 | "Quinn muttered, eyes narrowing" | | 17 | "Davies shook his head." | | 18 | "She raised a finger toward" | | 19 | "The shoe impressions were too" |
| | ratio | 0.94 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 1 | | matches | | 0 | "The mist thickened, curling tendrils reaching slowly, as if probing for life." |
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| 48.08% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 2 | | matches | | 0 | "Eva said cautiously, voice barely rising above the hum of distant trains," | | 1 | "Quinn muttered, eyes narrowing" |
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| 28.79% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 4 | | fancyTags | | 0 | "Quinn muttered (mutter)" | | 1 | "Davies hissed (hiss)" | | 2 | "she barked (bark)" | | 3 | "Quinn growled (growl)" |
| | dialogueSentences | 33 | | tagDensity | 0.242 | | leniency | 0.485 | | rawRatio | 0.5 | | effectiveRatio | 0.242 | |