| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.269 | | leniency | 0.538 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 712 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 712 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "glinting" | | 1 | "etched" | | 2 | "pulsed" | | 3 | "whisper" | | 4 | "silence" | | 5 | "traced" | | 6 | "flicked" | | 7 | "shattered" | | 8 | "stark" | | 9 | "pulse" | | 10 | "quickened" | | 11 | "standard" | | 12 | "flickered" |
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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 | 58 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 58 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 77 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 9 | | markdownWords | 19 | | totalWords | 696 | | ratio | 0.027 | | matches | | 0 | "placed" | | 1 | "staged" | | 2 | "wanted" | | 3 | "carved" | | 4 | "\"Three strikes, Detective. You’re on your second.\"" | | 5 | "pulled" | | 6 | "\"The third strike is coming.\"" | | 7 | "wrong" | | 8 | "waiting" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 56.02% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 532 | | uniqueNames | 6 | | maxNameDensity | 1.88 | | worstName | "Carter" | | maxWindowNameDensity | 3 | | worstWindowName | "Carter" | | discoveredNames | | Tube | 1 | | Harlow | 9 | | Quinn | 1 | | Veil | 3 | | Market | 3 | | Carter | 10 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Carter" |
| | places | (empty) | | globalScore | 0.56 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 35 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 696 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 19.33 | | std | 16.55 | | cv | 0.856 | | sampleLengths | | 0 | 1 | | 1 | 58 | | 2 | 27 | | 3 | 9 | | 4 | 16 | | 5 | 71 | | 6 | 8 | | 7 | 33 | | 8 | 44 | | 9 | 23 | | 10 | 11 | | 11 | 22 | | 12 | 9 | | 13 | 19 | | 14 | 20 | | 15 | 12 | | 16 | 30 | | 17 | 7 | | 18 | 5 | | 19 | 9 | | 20 | 46 | | 21 | 5 | | 22 | 38 | | 23 | 5 | | 24 | 8 | | 25 | 37 | | 26 | 30 | | 27 | 5 | | 28 | 11 | | 29 | 21 | | 30 | 5 | | 31 | 30 | | 32 | 5 | | 33 | 9 | | 34 | 4 | | 35 | 3 |
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| 87.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 58 | | matches | | 0 | "were arranged" | | 1 | "was torn" | | 2 | "were clenched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 94 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 77 | | ratio | 0.117 | | matches | | 0 | "The needle was still—no supernatural rift pulsed nearby, no whisper of the Veil Market’s shifting presence." | | 1 | "This station had been its last known hideout—until the cave-in two nights ago." | | 2 | "\"Or someone *wanted* us to find it.\" Harlow’s gaze flicked to the scattered bones near the compass—a human femur, a shattered ribcage." | | 3 | "But the way they were arranged—spread like a warning, like a message—made her skin prickle." | | 4 | "The station’s tunnels stretched before them, the air thick with the scent of damp stone and something sharper—copper, iron." | | 5 | "The tunnel opened into a larger chamber, its walls lined with the remnants of the Veil Market’s stalls—collapsed crates, shattered glass, the occasional flash of something metallic catching the light." | | 6 | "But the way he held himself—rigid, unnatural—told her everything she needed to know." | | 7 | "The journal was open to a page filled with frantic scribbles—names, dates, locations." | | 8 | "Not just the gaslights above them—something deeper, something *wrong*." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 548 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, leather-bound journal," |
| | adverbCount | 16 | | adverbRatio | 0.029197080291970802 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.014598540145985401 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 77 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 77 | | mean | 9.03 | | std | 6.43 | | cv | 0.712 | | sampleLengths | | 0 | 23 | | 1 | 16 | | 2 | 16 | | 3 | 3 | | 4 | 19 | | 5 | 8 | | 6 | 4 | | 7 | 5 | | 8 | 11 | | 9 | 5 | | 10 | 10 | | 11 | 20 | | 12 | 13 | | 13 | 28 | | 14 | 3 | | 15 | 5 | | 16 | 22 | | 17 | 11 | | 18 | 4 | | 19 | 5 | | 20 | 20 | | 21 | 15 | | 22 | 9 | | 23 | 14 | | 24 | 3 | | 25 | 8 | | 26 | 12 | | 27 | 6 | | 28 | 4 | | 29 | 2 | | 30 | 7 | | 31 | 10 | | 32 | 9 | | 33 | 19 | | 34 | 1 | | 35 | 9 | | 36 | 3 | | 37 | 14 | | 38 | 7 | | 39 | 9 | | 40 | 7 | | 41 | 5 | | 42 | 4 | | 43 | 5 | | 44 | 3 | | 45 | 13 | | 46 | 30 | | 47 | 5 | | 48 | 10 | | 49 | 15 |
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| 56.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.36363636363636365 | | totalSentences | 77 | | uniqueOpeners | 28 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 54 | | matches | | 0 | "She traced the compass’s edge" | | 1 | "She stood, brushing dirt from" | | 2 | "She plucked it free, unfolding" | | 3 | "Her blood turned to ice." | | 4 | "She was already walking, her" | | 5 | "His fingers were clenched around" | | 6 | "She was already reaching for" | | 7 | "She didn’t need to look" | | 8 | "She already knew." | | 9 | "He was *waiting*." |
| | ratio | 0.185 | |
| 24.81% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 54 | | matches | | 0 | "The brass compass lay half-buried" | | 1 | "Detective Harlow Quinn knelt beside" | | 2 | "The needle was still—no supernatural" | | 3 | "That was odd." | | 4 | "DS Carter’s voice cut through" | | 5 | "Harlow didn’t look up." | | 6 | "Carter crouched beside her, his" | | 7 | "She traced the compass’s edge" | | 8 | "The Veil Market moved every" | | 9 | "This station had been its" | | 10 | "Carter exhaled sharply." | | 11 | "Harlow’s gaze flicked to the" | | 12 | "The bones weren’t fresh." | | 13 | "The flesh had long since" | | 14 | "Carter crouched, picking up a" | | 15 | "Harlow’s pulse quickened." | | 16 | "The stone bore crude symbols," | | 17 | "She stood, brushing dirt from" | | 18 | "The station’s tunnels stretched before" | | 19 | "Carter’s flashlight caught something glinting" |
| | ratio | 0.87 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 74.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 2 | | matches | | 0 | "She was already walking, her boots crunching over broken glass and scattered debris." | | 1 | "She was already reaching for the journal, her fingers brushing the page." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 2 | | matches | | 0 | "The Veil Market moved, its location a closely guarded secret" | | 1 | "Harlow agreed, her voice hollow" |
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| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "Harlow agreed (agree)" |
| | dialogueSentences | 26 | | tagDensity | 0.077 | | leniency | 0.154 | | rawRatio | 1 | | effectiveRatio | 0.154 | |