| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 1 | | adverbTags | | 0 | "she replied coolly [coolly]" |
| | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |
| 76.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1052 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "cautiously" | | 2 | "coolly" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1052 | | totalAiIsms | 28 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "footsteps" | | 1 | "pounding" | | 2 | "depths" | | 3 | "flicker" | | 4 | "racing" | | 5 | "echo" | | 6 | "flickered" | | 7 | "weight" | | 8 | "echoing" | | 9 | "echoed" | | 10 | "quickened" | | 11 | "fleeting" | | 12 | "familiar" | | 13 | "calculated" | | 14 | "tension" | | 15 | "scanning" | | 16 | "electric" | | 17 | "unwavering" | | 18 | "raced" |
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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 | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 76 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1043 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 9 | | wordCount | 1030 | | uniqueNames | 2 | | maxNameDensity | 0.78 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 1 | | matches | | 0 | "creak that seemed to echo her every heartbeat" |
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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 | 1043 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 68.92% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 38.63 | | std | 15.11 | | cv | 0.391 | | sampleLengths | | 0 | 60 | | 1 | 33 | | 2 | 63 | | 3 | 50 | | 4 | 52 | | 5 | 43 | | 6 | 49 | | 7 | 45 | | 8 | 31 | | 9 | 56 | | 10 | 28 | | 11 | 37 | | 12 | 10 | | 13 | 37 | | 14 | 11 | | 15 | 47 | | 16 | 45 | | 17 | 54 | | 18 | 41 | | 19 | 45 | | 20 | 2 | | 21 | 19 | | 22 | 39 | | 23 | 42 | | 24 | 43 | | 25 | 42 | | 26 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 95.29% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 191 | | matches | | 0 | "was winning" | | 1 | "was hiding" | | 2 | "was beating" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 4 | | flaggedSentences | 10 | | totalSentences | 78 | | ratio | 0.128 | | matches | | 0 | "He glanced back; the curve of a crooked grin flashed in the shadows." | | 1 | "The city had become a deadly game, and tonight she was winning—barely." | | 2 | "She saw her target slipping behind a ragged curtain of tarpaulin—metal rusted and creaking, an ominous creak that seemed to echo her every heartbeat." | | 3 | "Shadows flickered along the concrete walls; the scent of mould and something fouler—something metallic—clung to the stale air." | | 4 | "Yet, she had no choice; the suspect was her lead, and she couldn’t afford to lose him now." | | 5 | "Her eyes darted over a central corridor, catching fleeting images: a figure hunched over a glowing table, hands exchanging a small bone token; a cloaked vendor whispering to a cloaked customer, exchange concealed behind a cloud of smoke." | | 6 | "Quinn’s finger twitched near her holster, but she kept her tone even—calculated as a blade." | | 7 | "The suspect’s trail had gone cold, but her gut told her he was hiding somewhere deeper—an access point, maybe, to the secret rooms silenced behind an unassuming door nearby." | | 8 | "Quinn’s instincts screamed the underground market’s dark heart was beating stronger now, secrets ready to spill—and she wasn’t sure if her opponent was the only threat." | | 9 | "A tremor buzzed through her bones—the decision becoming clearer by the second." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1039 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.03368623676612127 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.01828681424446583 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 13.37 | | std | 6.79 | | cv | 0.508 | | sampleLengths | | 0 | 15 | | 1 | 20 | | 2 | 25 | | 3 | 13 | | 4 | 6 | | 5 | 2 | | 6 | 12 | | 7 | 18 | | 8 | 7 | | 9 | 24 | | 10 | 14 | | 11 | 14 | | 12 | 24 | | 13 | 12 | | 14 | 17 | | 15 | 7 | | 16 | 10 | | 17 | 18 | | 18 | 5 | | 19 | 11 | | 20 | 9 | | 21 | 18 | | 22 | 7 | | 23 | 13 | | 24 | 20 | | 25 | 9 | | 26 | 13 | | 27 | 13 | | 28 | 19 | | 29 | 7 | | 30 | 6 | | 31 | 18 | | 32 | 9 | | 33 | 9 | | 34 | 38 | | 35 | 7 | | 36 | 21 | | 37 | 15 | | 38 | 7 | | 39 | 15 | | 40 | 10 | | 41 | 17 | | 42 | 20 | | 43 | 9 | | 44 | 2 | | 45 | 6 | | 46 | 18 | | 47 | 6 | | 48 | 17 | | 49 | 29 |
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| 60.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.38461538461538464 | | totalSentences | 78 | | uniqueOpeners | 30 | |
| 88.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 75 | | matches | | 0 | "Instead, she pressed her back" | | 1 | "Then, from behind a tattered" |
| | ratio | 0.027 | |
| 65.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 75 | | matches | | 0 | "Her breath sharpened in her" | | 1 | "He glanced back; the curve" | | 2 | "She pressed on, every sense" | | 3 | "She saw her target slipping" | | 4 | "She hesitated, thumb hovering over" | | 5 | "Her instincts clanged a warning." | | 6 | "She had seen enough to" | | 7 | "She stepped down, barely suppressing" | | 8 | "Her eyes adjusted slowly, revealing" | | 9 | "Her grip on her gun" | | 10 | "Her eyes darted over a" | | 11 | "She stepped cautiously, moving with" | | 12 | "They blocked her path, a" | | 13 | "She studied them, noting the" | | 14 | "She recognised the signs: they" | | 15 | "she replied coolly" | | 16 | "They snorted, taking slow steps" | | 17 | "Their hands still tucked into" | | 18 | "She knew better than to" | | 19 | "She edged past the duo," |
| | ratio | 0.387 | |
| 26.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 75 | | matches | | 0 | "The suspect darted into a" | | 1 | "Detective Harlow Quinn was close" | | 2 | "Her breath sharpened in her" | | 3 | "He glanced back; the curve" | | 4 | "Quinn’s fingers tightened around her" | | 5 | "The city had become a" | | 6 | "The suspect vanished into the" | | 7 | "Quinn hesitated a split second," | | 8 | "The alley ran into a" | | 9 | "She pressed on, every sense" | | 10 | "The trail led her toward" | | 11 | "She saw her target slipping" | | 12 | "The suspect’s muffled footsteps hit" | | 13 | "She hesitated, thumb hovering over" | | 14 | "The decline was steep, the" | | 15 | "Shadows flickered along the concrete" | | 16 | "Her instincts clanged a warning." | | 17 | "She had seen enough to" | | 18 | "The city’s underbelly was no" | | 19 | "She stepped down, barely suppressing" |
| | ratio | 0.867 | |
| 66.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 75 | | matches | | 0 | "Yet, she had no choice;" |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 1 | | matches | | 0 | "She saw her target slipping behind a ragged curtain of tarpaulin—metal rusted and creaking, an ominous creak that seemed to echo her every heartbeat." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "one asked, voice gravelly, edged with threat" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |