| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "Harlow said quietly [quietly]" |
| | dialogueSentences | 34 | | tagDensity | 0.441 | | leniency | 0.882 | | rawRatio | 0.067 | | effectiveRatio | 0.059 | |
| 92.60% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1352 | | 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) | |
| 44.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1352 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "gloom" | | 1 | "dancing" | | 2 | "rhythmic" | | 3 | "etched" | | 4 | "weight" | | 5 | "tinged" | | 6 | "chill" | | 7 | "pulse" | | 8 | "tension" | | 9 | "wavered" | | 10 | "could feel" | | 11 | "silence" |
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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 | 90 | | matches | | |
| 79.37% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 90 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 108 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1351 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 986 | | uniqueNames | 13 | | maxNameDensity | 1.93 | | worstName | "Harlow" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Harlow" | | discoveredNames | | Northern | 1 | | Harlow | 19 | | Quinn | 3 | | Camden | 1 | | High | 1 | | Street | 1 | | Morris | 2 | | Met | 1 | | Kowalski | 1 | | North | 2 | | Eva | 10 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Met" | | 4 | "Kowalski" | | 5 | "Eva" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" |
| | globalScore | 0.537 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 1 | | matches | | 0 | "sigils that seemed to shift under the artificial light" |
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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 | 1351 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 108 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 35.55 | | std | 19.1 | | cv | 0.537 | | sampleLengths | | 0 | 74 | | 1 | 45 | | 2 | 75 | | 3 | 4 | | 4 | 56 | | 5 | 41 | | 6 | 16 | | 7 | 56 | | 8 | 23 | | 9 | 42 | | 10 | 40 | | 11 | 30 | | 12 | 54 | | 13 | 8 | | 14 | 39 | | 15 | 36 | | 16 | 23 | | 17 | 30 | | 18 | 10 | | 19 | 36 | | 20 | 37 | | 21 | 14 | | 22 | 58 | | 23 | 53 | | 24 | 42 | | 25 | 17 | | 26 | 50 | | 27 | 9 | | 28 | 12 | | 29 | 23 | | 30 | 55 | | 31 | 49 | | 32 | 14 | | 33 | 12 | | 34 | 48 | | 35 | 68 | | 36 | 22 | | 37 | 30 |
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| 97.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 90 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 165 | | matches | | 0 | "wasn't pointing" | | 1 | "was pointing" |
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| 89.95% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 108 | | ratio | 0.019 | | matches | | 0 | "It wasn't an accusation; it was a statement of fact, the tone of one who studied history before it happened." | | 1 | "The city above, the lights, the noise—it felt miles away now." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 990 | | adjectiveStacks | 1 | | stackExamples | | 0 | "faint, sickly green light," |
| | adverbCount | 23 | | adverbRatio | 0.023232323232323233 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.011111111111111112 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 108 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 108 | | mean | 12.51 | | std | 7.04 | | cv | 0.563 | | sampleLengths | | 0 | 31 | | 1 | 19 | | 2 | 24 | | 3 | 7 | | 4 | 15 | | 5 | 8 | | 6 | 15 | | 7 | 7 | | 8 | 20 | | 9 | 19 | | 10 | 13 | | 11 | 6 | | 12 | 10 | | 13 | 4 | | 14 | 14 | | 15 | 21 | | 16 | 21 | | 17 | 8 | | 18 | 18 | | 19 | 15 | | 20 | 9 | | 21 | 7 | | 22 | 22 | | 23 | 9 | | 24 | 25 | | 25 | 9 | | 26 | 14 | | 27 | 23 | | 28 | 19 | | 29 | 13 | | 30 | 9 | | 31 | 9 | | 32 | 9 | | 33 | 10 | | 34 | 13 | | 35 | 7 | | 36 | 6 | | 37 | 8 | | 38 | 8 | | 39 | 18 | | 40 | 14 | | 41 | 5 | | 42 | 3 | | 43 | 5 | | 44 | 9 | | 45 | 4 | | 46 | 10 | | 47 | 11 | | 48 | 6 | | 49 | 4 |
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| 40.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.26851851851851855 | | totalSentences | 108 | | uniqueOpeners | 29 | |
| 38.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 87 | | matches | | 0 | "Just a young man slumped" |
| | ratio | 0.011 | |
| 63.68% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 87 | | matches | | 0 | "She stepped down from the" | | 1 | "She had received the call" | | 2 | "She was forty-one, a number" | | 3 | "He was gone, vanished under" | | 4 | "He was not alone." | | 5 | "She held a satchel full" | | 6 | "Her voice was calm, laced" | | 7 | "Her green eyes were bright," | | 8 | "She focused on the face" | | 9 | "It was small, brass, heavy" | | 10 | "Her thumb rubbed the grooves" | | 11 | "It wasn't just scrap." | | 12 | "It was cold, colder than" | | 13 | "Her eyes tracked the needle's" | | 14 | "It wasn't pointing North." | | 15 | "It was pointing down the" | | 16 | "Her shoes crunched on the" | | 17 | "She gripped the item tighter," | | 18 | "She stood to her full" | | 19 | "It hummed with a low" |
| | ratio | 0.391 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 83 | | totalSentences | 87 | | matches | | 0 | "The air inside the abandoned" | | 1 | "She stepped down from the" | | 2 | "The torchlight from her belt" | | 3 | "She had received the call" | | 4 | "A body found in the" | | 5 | "Detective Harlow Quinn checked her" | | 6 | "The worn leather watch ticked" | | 7 | "She was forty-one, a number" | | 8 | "He was gone, vanished under" | | 9 | "The Met wanted a murder" | | 10 | "Harlow found herself looking for" | | 11 | "He was not alone." | | 12 | "A figure stood at the" | | 13 | "The woman wore oversized round" | | 14 | "She held a satchel full" | | 15 | "the woman said without looking" | | 16 | "Her voice was calm, laced" | | 17 | "Eva Kowalski shifted her weight," | | 18 | "Harlow stopped ten feet away," | | 19 | "Eva finally turned, pushing her" |
| | ratio | 0.954 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 87 | | matches | (empty) | | ratio | 0 | |
| 51.28% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 5 | | matches | | 0 | "The worn leather watch ticked with a steady, rhythmic precision that matched the military bearing she kept at all times." | | 1 | "A compass, but the casing was etched with protective sigils that seemed to shift under the artificial light." | | 2 | "The beam of her light cut through the dust, revealing a crack in the brickwork that shouldn't have been there." | | 3 | "It hummed with a low vibration, a sound that set her teeth on edge." | | 4 | "She stepped into the shadows, the compass in her palm turning cold against her skin, pointing her toward the only thing that mattered now: the truth behind the …" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 4 | | matches | | 0 | "Harlow said, not taking her eyes off the compass" | | 1 | "Eva replied, her voice dropping" | | 2 | "Harlow ordered, her voice sharp and commanding" | | 3 | "Harlow replied, her voice steady," |
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| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 2 | | fancyTags | | 0 | "Eva corrected (correct)" | | 1 | "Harlow ordered (order)" |
| | dialogueSentences | 34 | | tagDensity | 0.353 | | leniency | 0.706 | | rawRatio | 0.167 | | effectiveRatio | 0.118 | |