| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.66% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 936 | | 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) | |
| 41.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 936 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "echoed" | | 1 | "gloom" | | 2 | "etched" | | 3 | "pulsed" | | 4 | "standard" | | 5 | "searing" | | 6 | "pulse" | | 7 | "stomach" | | 8 | "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 | 81 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 81 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 14 | | markdownWords | 15 | | totalWords | 930 | | ratio | 0.016 | | matches | | 0 | "down" | | 1 | "those" | | 2 | "absence" | | 3 | "chose" | | 4 | "sigil" | | 5 | "shifted" | | 6 | "pulsed" | | 7 | "move" | | 8 | "pulling" | | 9 | "station itself" | | 10 | "delightful" | | 11 | "run" | | 12 | "past" | | 13 | "smiling" |
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| 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 | 19 | | wordCount | 758 | | uniqueNames | 4 | | maxNameDensity | 1.32 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 10 | | Tube | 1 | | Davies | 7 | | Langley | 1 |
| | persons | | | places | | | globalScore | 0.84 | | windowScore | 0.833 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like ozone and rotting meat" |
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| 92.47% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.075 | | wordCount | 930 | | matches | | 0 | "not north, but *down*, toward the tracks beneath them" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 23.25 | | std | 18.81 | | cv | 0.809 | | sampleLengths | | 0 | 1 | | 1 | 57 | | 2 | 23 | | 3 | 49 | | 4 | 47 | | 5 | 22 | | 6 | 36 | | 7 | 8 | | 8 | 10 | | 9 | 48 | | 10 | 33 | | 11 | 31 | | 12 | 14 | | 13 | 53 | | 14 | 66 | | 15 | 5 | | 16 | 1 | | 17 | 26 | | 18 | 20 | | 19 | 66 | | 20 | 15 | | 21 | 39 | | 22 | 1 | | 23 | 16 | | 24 | 2 | | 25 | 35 | | 26 | 5 | | 27 | 40 | | 28 | 31 | | 29 | 5 | | 30 | 33 | | 31 | 16 | | 32 | 24 | | 33 | 9 | | 34 | 15 | | 35 | 2 | | 36 | 11 | | 37 | 5 | | 38 | 6 | | 39 | 4 |
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| 87.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 81 | | matches | | 0 | "been gutted" | | 1 | "was frozen" | | 2 | "been brought" | | 3 | "was gone" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 122 | | matches | | 0 | "was burning was *pulling" | | 1 | "wasn’t looking" | | 2 | "was looking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 100 | | ratio | 0.07 | | matches | | 0 | "The station had been gutted—no turnstiles, no ticket machines, just a hollow shell of what it once was." | | 1 | "Just that look—like he’d seen something that had unravelled his mind in the seconds before death." | | 2 | "Three years ago, her partner had vanished during an investigation into a series of deaths just like this—bodies with no marks, no explanations, just that same look of horror etched into their faces." | | 3 | "The station was a graveyard of discarded things—old newspapers, broken glass, the skeletal remains of a rat picked clean by something with too many teeth." | | 4 | "She followed its pull, her torchlight sweeping over the grimy tiles until it caught on something—a symbol, carved into the wall." | | 5 | "A low hum filled her ears, like the distant sound of a train approaching—but there were no trains here." | | 6 | "The compass in her grip was burning now, searing through her glove, and the needle wasn’t just pointing down anymore—it was *pulling*, dragging her forward, toward the darkness beyond the platform." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 149 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 3 | | adverbRatio | 0.020134228187919462 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.013422818791946308 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 9.29 | | std | 6.81 | | cv | 0.733 | | sampleLengths | | 0 | 23 | | 1 | 16 | | 2 | 18 | | 3 | 15 | | 4 | 8 | | 5 | 11 | | 6 | 18 | | 7 | 17 | | 8 | 3 | | 9 | 14 | | 10 | 4 | | 11 | 18 | | 12 | 11 | | 13 | 8 | | 14 | 14 | | 15 | 13 | | 16 | 3 | | 17 | 4 | | 18 | 16 | | 19 | 8 | | 20 | 2 | | 21 | 8 | | 22 | 7 | | 23 | 17 | | 24 | 22 | | 25 | 2 | | 26 | 19 | | 27 | 14 | | 28 | 9 | | 29 | 18 | | 30 | 4 | | 31 | 6 | | 32 | 8 | | 33 | 3 | | 34 | 4 | | 35 | 33 | | 36 | 9 | | 37 | 4 | | 38 | 12 | | 39 | 25 | | 40 | 10 | | 41 | 5 | | 42 | 3 | | 43 | 11 | | 44 | 5 | | 45 | 1 | | 46 | 12 | | 47 | 14 | | 48 | 2 | | 49 | 18 |
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| 51.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.37 | | totalSentences | 100 | | uniqueOpeners | 37 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 69 | | matches | | 0 | "Just that look—like he’d seen" | | 1 | "Instead, she knelt beside the" | | 2 | "Then the lights went out." |
| | ratio | 0.043 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 69 | | matches | | 0 | "she said, stepping onto the" | | 1 | "His face was frozen in" | | 2 | "she asked, already knowing the" | | 3 | "She reached into her coat" | | 4 | "She didn’t have to." | | 5 | "She stood, her joints cracking," | | 6 | "She pointed to the stairs" | | 7 | "She followed its pull, her" | | 8 | "She ignored him, pressing her" | | 9 | "Its limbs were too long," | | 10 | "It wasn’t human." | | 11 | "it whispered, its voice like" | | 12 | "it said, tilting its head" | | 13 | "It was looking *past* her." |
| | ratio | 0.203 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 69 | | matches | | 0 | "The bone token burned cold" | | 1 | "The abandoned Tube station yawned" | | 2 | "The air smelled of copper" | | 3 | "Quinn descended the stairs, her" | | 4 | "The station had been gutted—no" | | 5 | "she said, stepping onto the" | | 6 | "Davies gestured toward the far" | | 7 | "A man in a tailored" | | 8 | "His face was frozen in" | | 9 | "Davies said, flipping open his" | | 10 | "Quinn crouched beside the body," | | 11 | "she asked, already knowing the" | | 12 | "Quinn’s gaze snapped to the" | | 13 | "She reached into her coat" | | 14 | "Davies held up a brass" | | 15 | "The needle spun wildly, pointing" | | 16 | "Quinn took it, turning it" | | 17 | "The metal was cold, almost" | | 18 | "Davies crossed his arms" | | 19 | "Quinn didn’t answer." |
| | ratio | 0.71 | |
| 72.46% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 69 | | matches | | 0 | "Because the thing on the" |
| | ratio | 0.014 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 1 | | matches | | 0 | "Its limbs were too long, its joints bending in ways that made her stomach clench." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 75.93% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "it whispered (whisper)" |
| | dialogueSentences | 27 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.333 | | effectiveRatio | 0.148 | |