| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1084 | | 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) | |
| 12.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1084 | | totalAiIsms | 19 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "fleeting" | | 1 | "gloom" | | 2 | "predator" | | 3 | "familiar" | | 4 | "flicker" | | 5 | "silence" | | 6 | "symphony" | | 7 | "whisper" | | 8 | "etched" | | 9 | "charged" | | 10 | "glint" | | 11 | "echoed" | | 12 | "maw" | | 13 | "electric" | | 14 | "weight" | | 15 | "comforting" | | 16 | "reminder" | | 17 | "tinged" |
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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 | 109 | | matches | | |
| 90.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 109 | | filterMatches | | | hedgeMatches | | 0 | "happened to" | | 1 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1086 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 1083 | | uniqueNames | 13 | | maxNameDensity | 0.55 | | worstName | "Harlow" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Harlow" | | discoveredNames | | Soho | 1 | | Harlow | 6 | | Quinn | 2 | | Morris | 3 | | Stygian | 1 | | Silence | 1 | | London | 1 | | Electric | 1 | | Raven | 1 | | Nest | 1 | | Veil | 1 | | Market | 1 | | Whispered | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Raven" |
| | places | | 0 | "Soho" | | 1 | "Stygian" | | 2 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like metallic objects, and a low," |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.762 | | wordCount | 1086 | | matches | | 0 | "Not a scurry, but a deliberate, almost gliding motion" | | 1 | "not another alley, but a set of steep, crumbling steps leading down into darkness" | | 2 | "not to her radio, but to the cold, hard metal of her sidearm" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 109 | | matches | | |
| 47.78% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 16 | | mean | 67.88 | | std | 21.53 | | cv | 0.317 | | sampleLengths | | 0 | 82 | | 1 | 99 | | 2 | 82 | | 3 | 78 | | 4 | 62 | | 5 | 82 | | 6 | 68 | | 7 | 65 | | 8 | 65 | | 9 | 51 | | 10 | 46 | | 11 | 44 | | 12 | 44 | | 13 | 38 | | 14 | 59 | | 15 | 121 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 109 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 146 | | matches | | |
| 90.43% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 109 | | ratio | 0.018 | | matches | | 0 | "The distant wail of a siren, the groan of a building settling – the usual city symphony." | | 1 | "But the mystery, the raw, gnawing need to understand what had happened to Morris — that was a force far more potent than any rain." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1084 | | adjectiveStacks | 2 | | stackExamples | | 0 | "earthy, ozone-tinged air" | | 1 | "far older, far stranger." |
| | adverbCount | 32 | | adverbRatio | 0.02952029520295203 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005535055350553505 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 9.96 | | std | 6.19 | | cv | 0.621 | | sampleLengths | | 0 | 24 | | 1 | 19 | | 2 | 14 | | 3 | 11 | | 4 | 2 | | 5 | 12 | | 6 | 16 | | 7 | 15 | | 8 | 5 | | 9 | 10 | | 10 | 20 | | 11 | 9 | | 12 | 2 | | 13 | 8 | | 14 | 8 | | 15 | 6 | | 16 | 10 | | 17 | 21 | | 18 | 22 | | 19 | 4 | | 20 | 1 | | 21 | 10 | | 22 | 11 | | 23 | 3 | | 24 | 10 | | 25 | 18 | | 26 | 18 | | 27 | 11 | | 28 | 1 | | 29 | 3 | | 30 | 17 | | 31 | 3 | | 32 | 1 | | 33 | 9 | | 34 | 11 | | 35 | 10 | | 36 | 9 | | 37 | 6 | | 38 | 13 | | 39 | 9 | | 40 | 3 | | 41 | 10 | | 42 | 5 | | 43 | 11 | | 44 | 10 | | 45 | 6 | | 46 | 10 | | 47 | 18 | | 48 | 8 | | 49 | 10 |
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| 36.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.25688073394495414 | | totalSentences | 109 | | uniqueOpeners | 28 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 98 | | matches | | 0 | "Then, a whisper of movement" | | 1 | "Then, her flashlight beam caught" | | 2 | "Then she heard it." |
| | ratio | 0.031 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 98 | | matches | | 0 | "Her trench coat, usually a" | | 1 | "Her partner, Morris, had taught" | | 2 | "She pushed the memory down," | | 3 | "She’d almost lost him." | | 4 | "He’d gone in." | | 5 | "She skidded to a halt," | | 6 | "Her flashlight beam cut a" | | 7 | "Her voice was a rough" | | 8 | "Her grip on her flashlight" | | 9 | "She moved forward, the beam" | | 10 | "She’d seen that symbol before," | | 11 | "She pushed against the brickwork" | | 12 | "She tried again, putting her" | | 13 | "Her training screamed at her" | | 14 | "It all pointed to something" | | 15 | "She tightened her grip on" | | 16 | "She took a deep breath," | | 17 | "It was coming from below." | | 18 | "Her quarry was down there." | | 19 | "Her sensible instincts warred with" |
| | ratio | 0.276 | |
| 82.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 98 | | matches | | 0 | "The rain fell in relentless" | | 1 | "Detective Harlow Quinn’s breath plumed" | | 2 | "Her trench coat, usually a" | | 3 | "The raw, desperate scramble that" | | 4 | "The silhouette ahead, a fleeting" | | 5 | "A quick, wiry thing, slipping" | | 6 | "This one moved with a" | | 7 | "Her partner, Morris, had taught" | | 8 | "A sharp breath, a tightening" | | 9 | "She pushed the memory down," | | 10 | "The present demanded her full" | | 11 | "The figure rounded a corner," | | 12 | "Harlow cursed under her breath" | | 13 | "The scent of cheap perfume" | | 14 | "She’d almost lost him." | | 15 | "A side alley, smelling of" | | 16 | "He’d gone in." | | 17 | "She skidded to a halt," | | 18 | "The rain drummed a furious" | | 19 | "Her flashlight beam cut a" |
| | ratio | 0.755 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 98 | | matches | (empty) | | ratio | 0 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 4 | | matches | | 0 | "The raw, desperate scramble that made a mockery of meticulous police work." | | 1 | "The air that wafted up was damp and earthy, carrying the faint, alien scent of ozone and something acridly sweet." | | 2 | "The scent of ozone intensified, a sharp, Electric tang that made the hairs on her arms stand on end." | | 3 | "But the mystery, the raw, gnawing need to understand what had happened to Morris — that was a force far more potent than any rain." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |