| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 50 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1446 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1446 | | totalAiIsms | 30 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "gloom" | | 1 | "traced" | | 2 | "flicked" | | 3 | "rhythmic" | | 4 | "echo" | | 5 | "quivered" | | 6 | "vibrated" | | 7 | "pulsed" | | 8 | "footsteps" | | 9 | "weight" | | 10 | "silence" | | 11 | "charm" | | 12 | "flickered" | | 13 | "wavered" | | 14 | "etched" | | 15 | "echoed" | | 16 | "warmth" | | 17 | "throbbed" | | 18 | "pulse" |
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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 | 175 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 175 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 215 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1437 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 17.34% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 71 | | wordCount | 1093 | | uniqueNames | 10 | | maxNameDensity | 2.65 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 29 | | Greek | 1 | | Sigma | 2 | | Beaumont | 20 | | Kowalski | 1 | | Veil | 2 | | Compass | 2 | | Shin | 1 | | Eva | 12 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Beaumont" | | 3 | "Kowalski" | | 4 | "Compass" | | 5 | "Eva" |
| | places | (empty) | | globalScore | 0.173 | | windowScore | 0.333 | |
| 90.48% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 2 | | matches | | 0 | "as though reacting to the unnatural gap in reality ahead" | | 1 | "something like curiosity" |
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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 | 1437 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 215 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 21.13 | | std | 12.52 | | cv | 0.592 | | sampleLengths | | 0 | 48 | | 1 | 22 | | 2 | 27 | | 3 | 13 | | 4 | 14 | | 5 | 17 | | 6 | 14 | | 7 | 17 | | 8 | 8 | | 9 | 27 | | 10 | 54 | | 11 | 5 | | 12 | 24 | | 13 | 22 | | 14 | 19 | | 15 | 54 | | 16 | 10 | | 17 | 17 | | 18 | 15 | | 19 | 52 | | 20 | 8 | | 21 | 12 | | 22 | 23 | | 23 | 13 | | 24 | 11 | | 25 | 35 | | 26 | 24 | | 27 | 30 | | 28 | 17 | | 29 | 5 | | 30 | 12 | | 31 | 11 | | 32 | 28 | | 33 | 25 | | 34 | 29 | | 35 | 5 | | 36 | 8 | | 37 | 26 | | 38 | 12 | | 39 | 6 | | 40 | 35 | | 41 | 52 | | 42 | 32 | | 43 | 32 | | 44 | 14 | | 45 | 38 | | 46 | 5 | | 47 | 8 | | 48 | 15 | | 49 | 22 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 175 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 227 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 215 | | ratio | 0.014 | | matches | | 0 | "She pictured the killer, faltering syllables on his lips, mispronouncing a word—Sigma instead of Shin." | | 1 | "She shone her torch, revealed a shape scaling the wall—thin limbs, elongated skull." | | 2 | "The creature snarled—a rasping breath that shook the walls." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1099 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.03002729754322111 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007279344858962694 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 215 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 215 | | mean | 6.68 | | std | 4.25 | | cv | 0.636 | | sampleLengths | | 0 | 17 | | 1 | 18 | | 2 | 10 | | 3 | 3 | | 4 | 5 | | 5 | 12 | | 6 | 2 | | 7 | 3 | | 8 | 9 | | 9 | 7 | | 10 | 11 | | 11 | 3 | | 12 | 5 | | 13 | 5 | | 14 | 6 | | 15 | 8 | | 16 | 12 | | 17 | 5 | | 18 | 4 | | 19 | 10 | | 20 | 4 | | 21 | 13 | | 22 | 2 | | 23 | 6 | | 24 | 8 | | 25 | 2 | | 26 | 4 | | 27 | 5 | | 28 | 8 | | 29 | 5 | | 30 | 7 | | 31 | 7 | | 32 | 10 | | 33 | 14 | | 34 | 11 | | 35 | 4 | | 36 | 1 | | 37 | 13 | | 38 | 11 | | 39 | 2 | | 40 | 20 | | 41 | 8 | | 42 | 11 | | 43 | 15 | | 44 | 4 | | 45 | 4 | | 46 | 6 | | 47 | 14 | | 48 | 11 | | 49 | 4 |
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| 61.55% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.386046511627907 | | totalSentences | 215 | | uniqueOpeners | 83 | |
| 22.22% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 150 | | matches | | 0 | "Somewhere in the gloom, the" |
| | ratio | 0.007 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 150 | | matches | | 0 | "She traced a finger along" | | 1 | "She tapped the edge of" | | 2 | "He set down a plastic" | | 3 | "She rose, stiff-backed, muscles coiled." | | 4 | "He lifted a brow." | | 5 | "Her round glasses caught the" | | 6 | "She knelt, satchel thumping against" | | 7 | "She tucked a curl behind" | | 8 | "She drew it free." | | 9 | "It quivered toward the tunnel," | | 10 | "He laughed, echo bouncing off" | | 11 | "Its needle tugged again." | | 12 | "She turned to the far" | | 13 | "She crouched, ran her fingertip" | | 14 | "She pressed a fingertip against" | | 15 | "She flinched as condensation beaded" | | 16 | "Her worn leather watch clicked" | | 17 | "She held up a gloved" | | 18 | "She patted her jacket." | | 19 | "Its weight settled in her" |
| | ratio | 0.28 | |
| 6.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 136 | | totalSentences | 150 | | matches | | 0 | "Detective Harlow Quinn crouched over" | | 1 | "Coppery blood pooled in a" | | 2 | "She traced a finger along" | | 3 | "Something was wrong." | | 4 | "Quinn said, voice low" | | 5 | "She tapped the edge of" | | 6 | "DS Beaumont replied, stepping into" | | 7 | "He set down a plastic" | | 8 | "She rose, stiff-backed, muscles coiled." | | 9 | "Beaumont glanced at the blood" | | 10 | "Quinn flicked a gaze at" | | 11 | "He lifted a brow." | | 12 | "Quinn shook her head." | | 13 | "Copper drip, steady and rhythmic," | | 14 | "The tang of iron." | | 15 | "The echo of distant dripping." | | 16 | "A breath dragged too slowly" | | 17 | "Eva Kowalski said" | | 18 | "Her round glasses caught the" | | 19 | "She knelt, satchel thumping against" |
| | ratio | 0.907 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 150 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 2 | | matches | | 0 | "The compass in her pocket warmed against her thigh, as though reacting to the unnatural gap in reality ahead." | | 1 | "She pictured the killer, faltering syllables on his lips, mispronouncing a word—Sigma instead of Shin." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 2 | | fancyTags | | 0 | "Eva whispered (whisper)" | | 1 | "Quinn yelled (yell)" |
| | dialogueSentences | 50 | | tagDensity | 0.18 | | leniency | 0.36 | | rawRatio | 0.222 | | effectiveRatio | 0.08 | |