| 28.57% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 3 | | adverbTags | | 0 | "But Quinn's attention had already [already]" | | 1 | "Reed said dismissively [dismissively]" | | 2 | "she said finally [finally]" |
| | dialogueSentences | 35 | | tagDensity | 0.314 | | leniency | 0.629 | | rawRatio | 0.273 | | effectiveRatio | 0.171 | |
| 85.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1342 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
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| | highlights | | 0 | "carefully" | | 1 | "lazily" | | 2 | "deliberately" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 47.84% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1342 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "efficient" | | 1 | "echoing" | | 2 | "weight" | | 3 | "magnetic" | | 4 | "pulse" | | 5 | "quickened" | | 6 | "perfect" | | 7 | "pristine" | | 8 | "racing" | | 9 | "traced" | | 10 | "unwavering" | | 11 | "could feel" | | 12 | "tracing" |
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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 | 93 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 93 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 116 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1329 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.57% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1023 | | uniqueNames | 13 | | maxNameDensity | 1.37 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Harlow | 1 | | Quinn | 14 | | Victorian | 1 | | Tube | 1 | | Metropolitan | 1 | | Police | 1 | | Detective | 2 | | Inspector | 1 | | Marcus | 1 | | Reed | 10 | | Morris | 3 | | November | 1 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Tube" | | 4 | "Inspector" | | 5 | "Marcus" | | 6 | "Reed" | | 7 | "Morris" |
| | places | | | globalScore | 0.816 | | windowScore | 0.833 | |
| 83.33% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 2 | | matches | | 0 | "quite make out in the dim light" | | 1 | "looked like green corrosion, and the face" | | 2 | "sounded like her sergeant major from basic" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.752 | | wordCount | 1329 | | matches | | 0 | "Not hot, but distinctly warmer than the surrounding surfaces" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 116 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 30.2 | | std | 21.55 | | cv | 0.714 | | sampleLengths | | 0 | 77 | | 1 | 69 | | 2 | 42 | | 3 | 53 | | 4 | 18 | | 5 | 1 | | 6 | 43 | | 7 | 8 | | 8 | 35 | | 9 | 8 | | 10 | 60 | | 11 | 11 | | 12 | 64 | | 13 | 13 | | 14 | 25 | | 15 | 5 | | 16 | 5 | | 17 | 51 | | 18 | 5 | | 19 | 20 | | 20 | 19 | | 21 | 45 | | 22 | 32 | | 23 | 7 | | 24 | 46 | | 25 | 56 | | 26 | 4 | | 27 | 12 | | 28 | 32 | | 29 | 17 | | 30 | 16 | | 31 | 34 | | 32 | 5 | | 33 | 40 | | 34 | 35 | | 35 | 35 | | 36 | 9 | | 37 | 59 | | 38 | 74 | | 39 | 6 | | 40 | 30 | | 41 | 56 | | 42 | 13 | | 43 | 34 |
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| 97.72% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 93 | | matches | | 0 | "was clenched" | | 1 | "been disturbed" |
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| 78.79% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 165 | | matches | | 0 | "was packing" | | 1 | "was already racing" | | 2 | "was coming" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 116 | | ratio | 0.06 | | matches | | 0 | "The victim's throat had been cut—a single deep wound, left to right." | | 1 | "He'd been her partner for six months now, ever since—but she didn't let herself finish that thought." | | 2 | "It spun lazily, making three full rotations before settling to point directly at the far wall of the platform—nowhere near magnetic north." | | 3 | "But there—about chest height—the rust had been disturbed." | | 4 | "And the tiles within that circle were pristine—no dust, no dirt, nothing but blood and clean ceramic." | | 5 | "Reed meant it as a joke—she could hear it in his tone—but Quinn's mind was already racing." | | 6 | "And something else—herbs, maybe?" |
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| 94.46% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1036 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 48 | | adverbRatio | 0.04633204633204633 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.013513513513513514 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 11.46 | | std | 7.96 | | cv | 0.695 | | sampleLengths | | 0 | 11 | | 1 | 39 | | 2 | 27 | | 3 | 16 | | 4 | 23 | | 5 | 30 | | 6 | 12 | | 7 | 12 | | 8 | 7 | | 9 | 11 | | 10 | 11 | | 11 | 17 | | 12 | 8 | | 13 | 17 | | 14 | 14 | | 15 | 4 | | 16 | 1 | | 17 | 8 | | 18 | 35 | | 19 | 4 | | 20 | 4 | | 21 | 11 | | 22 | 12 | | 23 | 12 | | 24 | 8 | | 25 | 30 | | 26 | 8 | | 27 | 22 | | 28 | 4 | | 29 | 7 | | 30 | 9 | | 31 | 7 | | 32 | 9 | | 33 | 18 | | 34 | 14 | | 35 | 7 | | 36 | 8 | | 37 | 5 | | 38 | 25 | | 39 | 5 | | 40 | 2 | | 41 | 3 | | 42 | 14 | | 43 | 10 | | 44 | 8 | | 45 | 4 | | 46 | 15 | | 47 | 5 | | 48 | 8 | | 49 | 12 |
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| 76.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.49137931034482757 | | totalSentences | 116 | | uniqueOpeners | 57 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 87 | | matches | | 0 | "More like burned away in" | | 1 | "Roughly six feet tall, three" | | 2 | "Instead, she walked back to" | | 3 | "Somewhere in this city, someone" |
| | ratio | 0.046 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 87 | | matches | | 0 | "Her worn leather watch read" | | 1 | "He'd been her partner for" | | 2 | "She pointed with her pen" | | 3 | "She pulled on a latex" | | 4 | "It spun lazily, making three" | | 5 | "They were deliberate, carved with" | | 6 | "Her pulse quickened, but her" | | 7 | "He joined her, skepticism clear" | | 8 | "She crouched again, this time" | | 9 | "She stood and followed its" | | 10 | "She pulled out her phone" | | 11 | "She didn't answer immediately." | | 12 | "It was resignation." | | 13 | "His left hand, she noticed" | | 14 | "She leaned closer, catching a" | | 15 | "she said finally" | | 16 | "She pocketed the compass, ignoring" | | 17 | "She headed toward the exit," | | 18 | "She could feel his confusion" | | 19 | "She'd waited three years for" |
| | ratio | 0.23 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 87 | | matches | | 0 | "The abandoned platform beneath Camden" | | 1 | "Detective Harlow Quinn stood at" | | 2 | "Her worn leather watch read" | | 3 | "The body lay twenty feet" | | 4 | "The Metropolitan Police photographer had" | | 5 | "Quinn's jaw tightened as she" | | 6 | "The victim's throat had been" | | 7 | "The weapon was nowhere to" | | 8 | "Neither was the victim's wallet," | | 9 | "He'd been her partner for" | | 10 | "Reed gestured at the body" | | 11 | "Quinn crouched beside the body," | | 12 | "She pointed with her pen" | | 13 | "Reed shifted his weight." | | 14 | "The right one was clenched" | | 15 | "She pulled on a latex" | | 16 | "A small brass compass tumbled" | | 17 | "The casing was tarnished, covered" | | 18 | "It spun lazily, making three" | | 19 | "Reed said dismissively" |
| | ratio | 0.701 | |
| 57.47% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 87 | | matches | | | ratio | 0.011 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 3 | | matches | | 0 | "Detective Harlow Quinn stood at the entrance to what her constables had cordoned off as a crime scene, though the yellow tape looked absurd strung between Victo…" | | 1 | "Male, mid-forties, expensive suit now ruined by the pool of blood that had spread beneath him and dried to a dark, tacky substance." | | 2 | "The Metropolitan Police photographer had already done her work, and the forensics team was packing up their equipment with the efficient movements of people who…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.171 | | leniency | 0.343 | | rawRatio | 0 | | effectiveRatio | 0 | |