| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn said quietly [quietly]" |
| | dialogueSentences | 16 | | tagDensity | 0.625 | | leniency | 1 | | rawRatio | 0.1 | | effectiveRatio | 0.1 | |
| 77.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1092 | | totalAiIsmAdverbs | 5 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | | | 2 | | | 3 | |
| | highlights | | 0 | "deliberately" | | 1 | "suddenly" | | 2 | "gently" | | 3 | "slowly" |
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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) | |
| 77.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1092 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "scanning" | | 1 | "etched" | | 2 | "structure" | | 3 | "trembled" | | 4 | "silence" |
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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) | |
| 48.87% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 1 | | narrationSentences | 76 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1097 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 937 | | uniqueNames | 8 | | maxNameDensity | 1.17 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Camden | 1 | | Victorian | 1 | | Reeves | 7 | | Quinn | 11 | | Morris | 2 | | Aldgate | 1 | | Kowalski | 1 |
| | persons | | 0 | "Camden" | | 1 | "Reeves" | | 2 | "Quinn" | | 3 | "Morris" | | 4 | "Aldgate" | | 5 | "Kowalski" |
| | places | (empty) | | globalScore | 0.913 | | windowScore | 0.833 | |
| 57.41% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 2 | | matches | | 0 | "something like this once before" | | 1 | "not quite" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.912 | | wordCount | 1097 | | matches | | 0 | "Not the object itself but the principle of it" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 35.39 | | std | 26.88 | | cv | 0.759 | | sampleLengths | | 0 | 72 | | 1 | 89 | | 2 | 24 | | 3 | 10 | | 4 | 40 | | 5 | 97 | | 6 | 15 | | 7 | 12 | | 8 | 54 | | 9 | 3 | | 10 | 51 | | 11 | 44 | | 12 | 48 | | 13 | 3 | | 14 | 4 | | 15 | 22 | | 16 | 55 | | 17 | 6 | | 18 | 19 | | 19 | 7 | | 20 | 48 | | 21 | 37 | | 22 | 67 | | 23 | 3 | | 24 | 74 | | 25 | 5 | | 26 | 55 | | 27 | 42 | | 28 | 20 | | 29 | 57 | | 30 | 14 |
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| 91.41% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 76 | | matches | | 0 | "been cleared" | | 1 | "was etched" | | 2 | "were supposed" |
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| 27.96% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 155 | | matches | | 0 | "was lying" | | 1 | "wasn't pointing" | | 2 | "was pointing" | | 3 | "was working" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 82 | | ratio | 0.098 | | matches | | 0 | "The call had come in at half two in the morning — a body in an abandoned Tube station beneath Camden, discovered by a drunk who'd stumbled through a rusted service door looking for somewhere to sleep." | | 1 | "She ducked under the police tape at 3:17 a.m., according to her watch, and the smell hit her before she'd made it ten steps into the tunnel: old stone, old water, something else beneath it — sweet and sharp, like overripe fruit cut with ammonia." | | 2 | "A proper terminus layout — two platform tracks running parallel, the far rail beds sunk below platform level, choked with a generation's worth of debris." | | 3 | "Not cleaned, not maintained — cleared, deliberately, recently." | | 4 | "Male, late thirties, well-dressed — wool overcoat, decent shoes, no wallet in the exterior pockets." | | 5 | "She crossed to it, crouched, and didn't touch it immediately — just looked." | | 6 | "The face was etched with fine markings that weren't navigational — the same style as the sigils on the tile, compressed and layered." | | 7 | "Not the object itself but the principle of it — a tool that oriented to something other than what tools were supposed to orient to." |
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| 99.32% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 932 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.0407725321888412 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.018240343347639486 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 13.38 | | std | 9.48 | | cv | 0.709 | | sampleLengths | | 0 | 37 | | 1 | 35 | | 2 | 45 | | 3 | 7 | | 4 | 12 | | 5 | 25 | | 6 | 24 | | 7 | 10 | | 8 | 19 | | 9 | 7 | | 10 | 10 | | 11 | 4 | | 12 | 4 | | 13 | 25 | | 14 | 7 | | 15 | 8 | | 16 | 33 | | 17 | 15 | | 18 | 5 | | 19 | 2 | | 20 | 13 | | 21 | 6 | | 22 | 6 | | 23 | 15 | | 24 | 23 | | 25 | 8 | | 26 | 5 | | 27 | 3 | | 28 | 3 | | 29 | 19 | | 30 | 16 | | 31 | 16 | | 32 | 11 | | 33 | 4 | | 34 | 8 | | 35 | 16 | | 36 | 1 | | 37 | 4 | | 38 | 14 | | 39 | 3 | | 40 | 23 | | 41 | 8 | | 42 | 3 | | 43 | 4 | | 44 | 14 | | 45 | 8 | | 46 | 13 | | 47 | 33 | | 48 | 9 | | 49 | 2 |
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| 75.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.47560975609756095 | | totalSentences | 82 | | uniqueOpeners | 39 | |
| 96.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 69 | | matches | | 0 | "Then she pulled out her" | | 1 | "Then the soft sound of" |
| | ratio | 0.029 | |
| 69.28% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 69 | | matches | | 0 | "She ducked under the police" | | 1 | "Her torch beam swept the" | | 2 | "Her DS, Reeves, was already" | | 3 | "he said without looking up" | | 4 | "She'd learned that from Morris," | | 5 | "She stepped closer to one." | | 6 | "She straightened and moved toward" | | 7 | "He was lying on his" | | 8 | "His face was slack, undamaged." | | 9 | "He was ten years younger" | | 10 | "His nails were unbroken." | | 11 | "She tilted his chin gently" | | 12 | "She checked his wrists." | | 13 | "She stood up." | | 14 | "She gestured at the deliberate" | | 15 | "He opened his mouth, then" | | 16 | "She photographed each one with" | | 17 | "She crossed to it, crouched," | | 18 | "She angled her torch and" | | 19 | "It wasn't pointing north." |
| | ratio | 0.377 | |
| 83.19% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 69 | | matches | | 0 | "The call had come in" | | 1 | "Quinn had been awake anyway," | | 2 | "She ducked under the police" | | 3 | "Her torch beam swept the" | | 4 | "The tile work was Victorian," | | 5 | "Her DS, Reeves, was already" | | 6 | "he said without looking up" | | 7 | "Quinn moved along the platform" | | 8 | "She'd learned that from Morris," | | 9 | "The dead will keep." | | 10 | "The station was large." | | 11 | "A proper terminus layout —" | | 12 | "The grime on the tiles" | | 13 | "She stepped closer to one." | | 14 | "Something carved directly into the" | | 15 | "She straightened and moved toward" | | 16 | "He was lying on his" | | 17 | "People who died suddenly didn't" | | 18 | "His face was slack, undamaged." | | 19 | "Reeves stood, tucking his pen" |
| | ratio | 0.754 | |
| 72.46% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 69 | | matches | | | ratio | 0.014 | |
| 56.28% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 4 | | matches | | 0 | "Decommissioned signage still clung to brackets along the platform edge, ghost lettering for a station that didn't appear on any current map she'd ever seen." | | 1 | "The grime on the tiles stopped in a rough rectangle roughly eight meters long and four wide, as if someone had dragged things away from the center rather than s…" | | 2 | "He was lying on his back with his arms at his sides in an arrangement that didn't match any fall she'd ever seen." | | 3 | "The face was etched with fine markings that weren't navigational — the same style as the sigils on the tile, compressed and layered." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 87.50% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 16 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.25 | | effectiveRatio | 0.125 | |