| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva said quietly [quietly]" |
| | dialogueSentences | 20 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.1 | | effectiveRatio | 0.1 | |
| 91.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1166 | | 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) | |
| 1.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1166 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "echoes" | | 1 | "tangible" | | 2 | "amidst" | | 3 | "scanned" | | 4 | "otherworldly" | | 5 | "flickered" | | 6 | "eyebrow" | | 7 | "perfect" | | 8 | "etched" | | 9 | "loomed" | | 10 | "calculated" | | 11 | "pristine" | | 12 | "navigate" | | 13 | "oppressive" | | 14 | "disrupt" | | 15 | "charged" | | 16 | "peril" | | 17 | "dance" | | 18 | "unspoken" | | 19 | "resolve" |
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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 | 65 | | matches | (empty) | |
| 98.90% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 65 | | filterMatches | | | hedgeMatches | | |
| 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 | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1159 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 940 | | uniqueNames | 12 | | maxNameDensity | 1.17 | | worstName | "Eva" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Eva" | | discoveredNames | | Harlow | 9 | | Quinn | 8 | | London | 3 | | Tube | 1 | | Camden | 1 | | Veil | 2 | | Market | 2 | | Eva | 11 | | Kowalski | 1 | | Blake | 3 | | Had | 1 | | Randall | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Eva" | | 3 | "Kowalski" | | 4 | "Blake" | | 5 | "Had" | | 6 | "Randall" |
| | places | | | globalScore | 0.915 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 4 | | matches | | 0 | "not quite dispelled" | | 1 | "felt like a narrative yet to unfurl, in" | | 2 | "seemed oddly superfluous here, in the dim glow of alchemical lamps strung across the makeshift market stalls" | | 3 | "seemed alive with secrets" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.863 | | wordCount | 1159 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 76.76% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 41.39 | | std | 17.33 | | cv | 0.419 | | sampleLengths | | 0 | 87 | | 1 | 72 | | 2 | 69 | | 3 | 27 | | 4 | 34 | | 5 | 10 | | 6 | 32 | | 7 | 57 | | 8 | 19 | | 9 | 53 | | 10 | 26 | | 11 | 30 | | 12 | 33 | | 13 | 41 | | 14 | 18 | | 15 | 37 | | 16 | 37 | | 17 | 40 | | 18 | 32 | | 19 | 35 | | 20 | 40 | | 21 | 37 | | 22 | 61 | | 23 | 41 | | 24 | 34 | | 25 | 56 | | 26 | 36 | | 27 | 65 |
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| 99.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 65 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 153 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 75 | | ratio | 0.053 | | matches | | 0 | "Yet, the very placement was too perfect—a marionette with severed strings." | | 1 | "The lack of visible trauma, the unnatural serenity of the deceased's position—it felt like a narrative yet to unfurl, incomplete." | | 2 | "Everything about this scene whispered deception—too neat, too pristine." | | 3 | "The compass held answers; Randall Blake had unknowingly taken a step into the shifting sands of a world charged with endless possibility—and peril." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 945 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.033862433862433865 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.015873015873015872 | |
| 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 | 15.45 | | std | 6.93 | | cv | 0.448 | | sampleLengths | | 0 | 22 | | 1 | 21 | | 2 | 21 | | 3 | 23 | | 4 | 26 | | 5 | 21 | | 6 | 9 | | 7 | 16 | | 8 | 9 | | 9 | 21 | | 10 | 17 | | 11 | 22 | | 12 | 11 | | 13 | 13 | | 14 | 3 | | 15 | 17 | | 16 | 17 | | 17 | 4 | | 18 | 6 | | 19 | 17 | | 20 | 15 | | 21 | 9 | | 22 | 17 | | 23 | 18 | | 24 | 2 | | 25 | 11 | | 26 | 9 | | 27 | 10 | | 28 | 16 | | 29 | 18 | | 30 | 19 | | 31 | 11 | | 32 | 8 | | 33 | 7 | | 34 | 13 | | 35 | 17 | | 36 | 13 | | 37 | 20 | | 38 | 9 | | 39 | 23 | | 40 | 9 | | 41 | 18 | | 42 | 3 | | 43 | 15 | | 44 | 19 | | 45 | 7 | | 46 | 19 | | 47 | 11 | | 48 | 13 | | 49 | 27 |
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| 78.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.49333333333333335 | | totalSentences | 75 | | uniqueOpeners | 37 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 63 | | matches | | 0 | "She couldn't shake the feeling" | | 1 | "She descended into The Veil" | | 2 | "Her eyes, sharp and scrutinous," | | 3 | "She approached the center of" | | 4 | "Her frustration simmered beneath her" | | 5 | "Their presence brought a starkness" | | 6 | "She returned a tatty tome" | | 7 | "Her instincts, honed by years" | | 8 | "she asked, redirecting her focus" | | 9 | "Her mind's gears whirred against" | | 10 | "Her partner's death three years" | | 11 | "It all begged the question:" | | 12 | "she said, tapping a page" | | 13 | "She nodded to Eva, sharing" |
| | ratio | 0.222 | |
| 55.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 63 | | matches | | 0 | "Detective Harlow Quinn worked her" | | 1 | "She couldn't shake the feeling" | | 2 | "She descended into The Veil" | | 3 | "The smell down here was" | | 4 | "Her eyes, sharp and scrutinous," | | 5 | "The place buzzed with an" | | 6 | "a voice called out, drawing" | | 7 | "Eva Kowalski, the occult researcher" | | 8 | "The younger woman's red curls" | | 9 | "Quinn acknowledged, her voice carrying" | | 10 | "She approached the center of" | | 11 | "Eva's hand twitched to her" | | 12 | "Quinn raised an eyebrow." | | 13 | "Eva said quietly, glancing about" | | 14 | "Harlow nodded, then turned her" | | 15 | "A man lay sprawled on" | | 16 | "The early forensics had already" | | 17 | "Eva hovered close, adjusting her" | | 18 | "Harlow crouched beside the body," | | 19 | "The verdigris patina, the sigils" |
| | ratio | 0.81 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 63 | | matches | | 0 | "Yet, the very placement was" | | 1 | "As if on cue, Eva's" |
| | ratio | 0.032 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 7 | | matches | | 0 | "Reaching the ground, Harlow wiped her hands on her trench coat, absentmindedly checking her watch as if to reassure herself of something tangible amidst the int…" | | 1 | "In the dim light, her green eyes flickered with the mixed atmosphere of concern and curiosity that came with any peculiar case." | | 2 | "Their presence brought a starkness that seemed oddly superfluous here, in the dim glow of alchemical lamps strung across the makeshift market stalls." | | 3 | "The detective rose, shrugging off the oppressive sensation that clung to the air." | | 4 | "Quinn turned to gaze down the gloomy tunnel that stretched out into the unknown, the dim lights casting long shadows that seemed alive with secrets." | | 5 | "She nodded to Eva, sharing an unspoken understanding that propelled them both deeper into the veiled realities that London harbored beneath its surface." | | 6 | "As the lamps flickered in The Veil Market, the echoes of their footfalls trailed behind, merging with the whispers of an age-old city that knew far more than it…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn acknowledged, her voice carrying an authority honed over years" | | 1 | "She returned, the cover emblazoned with esoteric symbols" | | 2 | "Harlow said, confidence threading her words" |
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| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 2 | | fancyTags | | 0 | "a voice called out (call out)" | | 1 | "Quinn acknowledged (acknowledge)" |
| | dialogueSentences | 20 | | tagDensity | 0.45 | | leniency | 0.9 | | rawRatio | 0.222 | | effectiveRatio | 0.2 | |