| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 32 | | adverbTagCount | 1 | | adverbTags | | 0 | "She turned back [back]" |
| | dialogueSentences | 68 | | tagDensity | 0.471 | | leniency | 0.941 | | rawRatio | 0.031 | | effectiveRatio | 0.029 | |
| 86.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1453 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "quickly" | | 1 | "carefully" | | 2 | "sharply" |
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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) | |
| 55.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1453 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "scanning" | | 1 | "etched" | | 2 | "footsteps" | | 3 | "echoed" | | 4 | "dancing" | | 5 | "charged" | | 6 | "familiar" | | 7 | "tracing" | | 8 | "intricate" | | 9 | "measured" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 86 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 86 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1446 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 26 | | unquotedAttributions | 1 | | matches | | 0 | "As Davies worked, Quinn continued down the tunnel, her flashlight beam dancing over the walls." |
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| 13.01% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 876 | | uniqueNames | 11 | | maxNameDensity | 2.74 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Camden | 1 | | Harlow | 1 | | Quinn | 24 | | Met | 1 | | Davies | 20 | | Kowalski | 1 | | Ancient | 1 | | History | 1 | | Oxford | 1 | | Morris | 1 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Davies" | | 4 | "Kowalski" | | 5 | "Morris" |
| | places | | 0 | "Met" | | 1 | "Ancient" | | 2 | "Oxford" |
| | globalScore | 0.13 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 1 | | matches | | 0 | "as if absorbing the light" |
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| 61.69% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.383 | | wordCount | 1446 | | matches | | 0 | "not ripped in a struggle but carefully cut away" | | 1 | "not back the way they'd come, but deeper into the tunnel" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 121 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 28.35 | | std | 18.44 | | cv | 0.651 | | sampleLengths | | 0 | 62 | | 1 | 17 | | 2 | 24 | | 3 | 35 | | 4 | 37 | | 5 | 19 | | 6 | 73 | | 7 | 23 | | 8 | 54 | | 9 | 24 | | 10 | 11 | | 11 | 38 | | 12 | 16 | | 13 | 51 | | 14 | 19 | | 15 | 35 | | 16 | 4 | | 17 | 61 | | 18 | 6 | | 19 | 38 | | 20 | 1 | | 21 | 44 | | 22 | 11 | | 23 | 23 | | 24 | 17 | | 25 | 39 | | 26 | 4 | | 27 | 21 | | 28 | 36 | | 29 | 5 | | 30 | 46 | | 31 | 8 | | 32 | 48 | | 33 | 34 | | 34 | 14 | | 35 | 67 | | 36 | 10 | | 37 | 53 | | 38 | 10 | | 39 | 46 | | 40 | 2 | | 41 | 49 | | 42 | 13 | | 43 | 13 | | 44 | 31 | | 45 | 35 | | 46 | 8 | | 47 | 35 | | 48 | 24 | | 49 | 39 |
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| 97.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 86 | | matches | | 0 | "been collected" | | 1 | "been found" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 158 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 121 | | ratio | 0.058 | | matches | | 0 | "The abandoned Tube station beneath Camden smelled of damp stone and decay, with an undercurrent of something else—something metallic and ancient." | | 1 | "Around him, forensic markers indicated where evidence had been collected—a knife here, a footprint there." | | 2 | "The air grew colder, the scent of damp stone giving way to something metallic—old blood, perhaps, or ozone." | | 3 | "But something else caught her eye—tiny scratches in the dust, almost like claw marks." | | 4 | "The tunnel curved sharply, and she stepped into a wider space—a platform identical to the one they'd left, but empty." | | 5 | "This wasn't just any satchel—it was a worn leather satchel full of books, the kind that belonged to a researcher, not a victim." | | 6 | "Before Davies could respond, a sound echoed through the tunnel—the scrape of footsteps on gravel, slow and deliberate." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 886 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.020316027088036117 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007900677200902935 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 11.95 | | std | 6.82 | | cv | 0.57 | | sampleLengths | | 0 | 21 | | 1 | 24 | | 2 | 17 | | 3 | 17 | | 4 | 3 | | 5 | 21 | | 6 | 8 | | 7 | 27 | | 8 | 9 | | 9 | 28 | | 10 | 2 | | 11 | 17 | | 12 | 14 | | 13 | 21 | | 14 | 12 | | 15 | 26 | | 16 | 12 | | 17 | 11 | | 18 | 7 | | 19 | 19 | | 20 | 9 | | 21 | 15 | | 22 | 4 | | 23 | 12 | | 24 | 12 | | 25 | 7 | | 26 | 4 | | 27 | 8 | | 28 | 26 | | 29 | 4 | | 30 | 2 | | 31 | 14 | | 32 | 8 | | 33 | 19 | | 34 | 18 | | 35 | 6 | | 36 | 4 | | 37 | 15 | | 38 | 9 | | 39 | 18 | | 40 | 8 | | 41 | 4 | | 42 | 14 | | 43 | 14 | | 44 | 17 | | 45 | 12 | | 46 | 4 | | 47 | 3 | | 48 | 3 | | 49 | 25 |
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| 70.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4462809917355372 | | totalSentences | 121 | | uniqueOpeners | 54 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 77 | | matches | | 0 | "She touched the worn leather" | | 1 | "His eyes were open, staring" | | 2 | "She pointed to the victim's" | | 3 | "She walked to the edge" | | 4 | "She turned back to the" | | 5 | "She patted down the victim's" | | 6 | "She held up a small" | | 7 | "She turned it over" | | 8 | "She walked toward the east" | | 9 | "She reached the point where" | | 10 | "She reached into her pocket," | | 11 | "She walked to the edge" | | 12 | "she murmured, carefully making her" | | 13 | "She knelt beside it, her" | | 14 | "She'd been helping Quinn with" | | 15 | "She trailed off, the pieces" | | 16 | "She stood up, the compass" |
| | ratio | 0.221 | |
| 18.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 77 | | matches | | 0 | "The abandoned Tube station beneath" | | 1 | "Detective Harlow Quinn wrinkled her" | | 2 | "The station hadn't seen passengers" | | 3 | "Quinn didn't turn." | | 4 | "Davies stepped beside her, adjusting" | | 5 | "Quind finally looked at him," | | 6 | "Quinn said, the name hanging" | | 7 | "She touched the worn leather" | | 8 | "The case had gone cold," | | 9 | "Davies said, his tone professional" | | 10 | "Quinn's gaze returned to the" | | 11 | "The victim, a man in" | | 12 | "His eyes were open, staring" | | 13 | "Quinn said, crouching despite Davies's" | | 14 | "Davies said, joining her" | | 15 | "Quinn stood up, military precision" | | 16 | "She pointed to the victim's" | | 17 | "She walked to the edge" | | 18 | "She turned back to the" | | 19 | "Davies followed her gaze." |
| | ratio | 0.883 | |
| 64.94% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 77 | | matches | | 0 | "Before Davies could respond, a" |
| | ratio | 0.013 | |
| 75.89% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 3 | | matches | | 0 | "The tunnel wasn't straight but curved ahead, and the darkness beyond seemed to thicken, as if absorbing the light." | | 1 | "There, half-buried in the gravel, was something that made her breath catch." | | 2 | "She'd been helping Quinn with Morris's case, digging into the supernatural elements the police had ignored." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 32 | | uselessAdditionCount | 10 | | matches | | 0 | "Quinn said, the name hanging between them like a ghost" | | 1 | "Quinn stood, her eyes scanning the platform again" | | 2 | "Quinn said, her voice hard" | | 3 | "Quinn said, her gaze drifting to the compass in the evidence bag" | | 4 | "Quinn said, not breaking her stride" | | 5 | "Davies said, his voice tight" | | 6 | "Davies asked, his flashlight beam trembling" | | 7 | "Davies said, recognition dawning" | | 8 | "She trailed, the pieces clicking into place" | | 9 | "the figure said, voice calm and measured" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 21 | | fancyCount | 2 | | fancyTags | | 0 | "Davies suggested (suggest)" | | 1 | "she murmured (murmur)" |
| | dialogueSentences | 68 | | tagDensity | 0.309 | | leniency | 0.618 | | rawRatio | 0.095 | | effectiveRatio | 0.059 | |