| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "Harlow remarked dryly [dryly]" |
| | dialogueSentences | 19 | | tagDensity | 0.526 | | leniency | 1 | | rawRatio | 0.1 | | effectiveRatio | 0.1 | |
| 94.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 837 | | totalAiIsmAdverbs | 1 | | 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) | |
| 4.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 837 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "echo" | | 1 | "footsteps" | | 2 | "cacophony" | | 3 | "chaotic" | | 4 | "scanning" | | 5 | "amidst" | | 6 | "gloom" | | 7 | "glinting" | | 8 | "tension" | | 9 | "perfect" | | 10 | "chill" | | 11 | "reminder" | | 12 | "whisper" | | 13 | "unravel" |
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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 | 50 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 50 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 60 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 820 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 60.58% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 671 | | uniqueNames | 10 | | maxNameDensity | 1.79 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Tube | 2 | | Camden | 3 | | Harlow | 12 | | Quinn | 2 | | Veil | 1 | | Market | 1 | | Detective | 2 | | Davies | 10 | | Several | 2 | | Davis | 1 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Detective" | | 4 | "Davies" | | 5 | "Davis" |
| | places | (empty) | | globalScore | 0.606 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 78.05% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.22 | | wordCount | 820 | | matches | | 0 | "not a lone spectre but rather a disruption of life" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 60 | | matches | (empty) | |
| 74.31% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 39.05 | | std | 16.01 | | cv | 0.41 | | sampleLengths | | 0 | 83 | | 1 | 42 | | 2 | 26 | | 3 | 31 | | 4 | 54 | | 5 | 18 | | 6 | 35 | | 7 | 34 | | 8 | 16 | | 9 | 34 | | 10 | 41 | | 11 | 22 | | 12 | 29 | | 13 | 48 | | 14 | 33 | | 15 | 34 | | 16 | 50 | | 17 | 61 | | 18 | 21 | | 19 | 58 | | 20 | 50 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 50 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 111 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 17 | | semicolonCount | 0 | | flaggedSentences | 16 | | totalSentences | 60 | | ratio | 0.267 | | matches | | 0 | "Ahead, a cacophony of voices broke the quiet—a small crowd of officers clustered under the canopy of an overhead lamp, their faces obscured but their postures rigid and attentive." | | 1 | "A crooked smile tugged at her lips—none of this adhered to typical practice." | | 2 | "But such a constellation of symbols—why here, and who was bold enough to enact it in a place so public?" | | 3 | "Her military precision birthed comparisons instinctively—a discipline that kept her safe amidst chaos." | | 4 | "An officer approached with a file in hand—a collage of barely discernible snapshots under Camden's dim gloom." | | 5 | "There was a charge in the air—an unresolved tension whispering secrets of its unknown beginnings." | | 6 | "Their feelings mirrored ghosts—a supernatural shadow hanging over metaphysical remnants." | | 7 | "Their precision was like the gears in a clock, not a lone spectre but rather a disruption of life—the horror calling out for its resolution." | | 8 | "The answer lay hidden amidst the shadows they sought to bypass—a truth Davis felt but couldn't detail." | | 9 | "No one replied—these were foot soldiers beneath the sentence of command." | | 10 | "She reassured the scene passed—a quick reminder of its current life." | | 11 | "That was evident without question—a ritual to stir the ardent, sap the novitiates, and lash the whisper of wind against the demons endemic to human fate." | | 12 | "A chance—a distraction—or worse, a harbinger." | | 13 | "Their conversation waned into contemplative asides—a weary troop of guards caught unfurling beneath, something far less precise rekindled." | | 14 | "Harlow gazed at her watch—it ticked towards future consternation, hints mistaken for assumptions, remorseless missteps without her practiced authority." | | 15 | "The complexity emerged from abstraction—a history wished hidden." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 665 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.02857142857142857 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.010526315789473684 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 60 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 60 | | mean | 13.67 | | std | 5.93 | | cv | 0.434 | | sampleLengths | | 0 | 17 | | 1 | 18 | | 2 | 29 | | 3 | 19 | | 4 | 10 | | 5 | 22 | | 6 | 10 | | 7 | 23 | | 8 | 3 | | 9 | 17 | | 10 | 14 | | 11 | 9 | | 12 | 13 | | 13 | 2 | | 14 | 10 | | 15 | 20 | | 16 | 5 | | 17 | 13 | | 18 | 10 | | 19 | 13 | | 20 | 12 | | 21 | 17 | | 22 | 17 | | 23 | 10 | | 24 | 6 | | 25 | 14 | | 26 | 4 | | 27 | 8 | | 28 | 8 | | 29 | 18 | | 30 | 15 | | 31 | 8 | | 32 | 10 | | 33 | 6 | | 34 | 6 | | 35 | 20 | | 36 | 9 | | 37 | 12 | | 38 | 11 | | 39 | 25 | | 40 | 16 | | 41 | 17 | | 42 | 17 | | 43 | 17 | | 44 | 11 | | 45 | 15 | | 46 | 11 | | 47 | 13 | | 48 | 26 | | 49 | 6 |
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| 100.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.6166666666666667 | | totalSentences | 60 | | uniqueOpeners | 37 | |
| 69.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 48 | | matches | | 0 | "All new, all converging upon" |
| | ratio | 0.021 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 48 | | matches | | 0 | "Her military precision birthed comparisons" | | 1 | "she murmured, gesturing with the" | | 2 | "Their feelings mirrored ghosts—a supernatural" | | 3 | "Their precision was like the" | | 4 | "They stepped towards the remaining" | | 5 | "She reassured the scene passed—a" | | 6 | "Their conversation waned into contemplative" | | 7 | "Their focus had transitioned, eyeing" | | 8 | "Their future caught in the" |
| | ratio | 0.188 | |
| 53.75% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 39 | | totalSentences | 48 | | matches | | 0 | "The flickering bulbs cast harsh" | | 1 | "Detective Harlow Quinn stepped onto" | | 2 | "The Veil Market, a notorious" | | 3 | "A brisk nod slipped through" | | 4 | "Harlow remarked dryly, eyeing the" | | 5 | "Davies gestured towards the floor," | | 6 | "Harlow muttered, scanning the symbols" | | 7 | "A crooked smile tugged at" | | 8 | "Cosplayers in over their heads" | | 9 | "Harlow stepped back, eyes narrowing" | | 10 | "Her military precision birthed comparisons" | | 11 | "An officer approached with a" | | 12 | "Quinn thumbed through them, the" | | 13 | "she murmured, gesturing with the" | | 14 | "Davies nodded, eyes glinting as" | | 15 | "Several pairs of trainers." | | 16 | "Several of the officers threw" | | 17 | "Harlow turned her focus to" | | 18 | "Their feelings mirrored ghosts—a supernatural" | | 19 | "Davies sensed it too, nodding" |
| | ratio | 0.813 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 48 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 1 | | matches | | 0 | "Her military precision birthed comparisons instinctively—a discipline that kept her safe amidst chaos." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "called Detective Davies, her voice cutting through the murmur" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 4 | | fancyTags | | 0 | "Harlow muttered (mutter)" | | 1 | "Davies pressed (press)" | | 2 | "she murmured (murmur)" | | 3 | "Harlow muttered (mutter)" |
| | dialogueSentences | 19 | | tagDensity | 0.316 | | leniency | 0.632 | | rawRatio | 0.667 | | effectiveRatio | 0.421 | |