| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.486 | | leniency | 0.971 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1206 | | totalAiIsmAdverbs | 5 | | found | | 0 | | adverb | "deliberately" | | count | 2 |
| | 1 | | | 2 | | | 3 | |
| | highlights | | 0 | "deliberately" | | 1 | "tightly" | | 2 | "very" | | 3 | "carefully" |
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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) | |
| 79.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1206 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "resolved" | | 1 | "intricate" | | 2 | "scanning" | | 3 | "mechanical" | | 4 | "footsteps" |
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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 | 95 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 95 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 65 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1213 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1004 | | uniqueNames | 12 | | maxNameDensity | 0.6 | | worstName | "Reeves" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Reeves" | | discoveredNames | | Tube | 1 | | Victorian | 3 | | Parkway | 1 | | Camden | 3 | | Yusuf | 1 | | Reeves | 6 | | Forty | 1 | | Underground | 1 | | Morris | 3 | | Shoreditch | 1 | | Limehouse | 1 | | Smooth | 1 |
| | persons | | 0 | "Yusuf" | | 1 | "Reeves" | | 2 | "Morris" |
| | places | | 0 | "Camden" | | 1 | "Shoreditch" | | 2 | "Limehouse" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1213 | | matches | (empty) | |
| 48.67% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 4 | | totalSentences | 113 | | matches | | 0 | "kept that observation" | | 1 | "pressed that thought" | | 2 | "seen that shape" | | 3 | "buried that review" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 22.05 | | std | 19.32 | | cv | 0.876 | | sampleLengths | | 0 | 6 | | 1 | 41 | | 2 | 67 | | 3 | 8 | | 4 | 25 | | 5 | 16 | | 6 | 11 | | 7 | 53 | | 8 | 3 | | 9 | 39 | | 10 | 4 | | 11 | 15 | | 12 | 36 | | 13 | 28 | | 14 | 48 | | 15 | 6 | | 16 | 11 | | 17 | 46 | | 18 | 28 | | 19 | 17 | | 20 | 5 | | 21 | 7 | | 22 | 40 | | 23 | 54 | | 24 | 6 | | 25 | 3 | | 26 | 34 | | 27 | 11 | | 28 | 14 | | 29 | 23 | | 30 | 45 | | 31 | 3 | | 32 | 2 | | 33 | 41 | | 34 | 13 | | 35 | 15 | | 36 | 5 | | 37 | 7 | | 38 | 59 | | 39 | 10 | | 40 | 50 | | 41 | 6 | | 42 | 45 | | 43 | 3 | | 44 | 39 | | 45 | 22 | | 46 | 6 | | 47 | 6 | | 48 | 7 | | 49 | 47 |
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| 94.18% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 95 | | matches | | 0 | "been ground" | | 1 | "were relaxed" | | 2 | "been breached " |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 163 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 113 | | ratio | 0.062 | | matches | | 0 | "His face wore an expression she'd learned to distrust — not fear, not pain." | | 1 | "Not bruising — wrong colour for bruising, too symmetrical for a struggle." | | 2 | "Evidence pulled from two separate incidents over the past year — an alleyway in Shoreditch, a riverside path in Limehouse." | | 3 | "The Victorian cream-and-burgundy tilework there had been breached — a section removed, exposing bare brick behind." | | 4 | "The marks on the man's neck caught the torchlight again and something snagged at the back of her mind — a sealed file, an internal review into Morris's death, a paragraph about sigil-based combustion she wasn't supposed to have read." | | 5 | "She'd seen a photograph of the same object in Morris's personal effects — logged in the evidence inventory as unknown organic material, flagged, and quietly dropped from the case file six months after his death." | | 6 | "Beneath the shuffle of Reeves bagging the token, beneath the radio crackle from the platform behind them, beneath the drip of water somewhere far above — a sound that had lived in the back of her skull for three years, the sound she woke from at two in the morning and told herself was pipes, was traffic, was the ordinary percussion of an old city breathing." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1005 | | adjectiveStacks | 1 | | stackExamples | | 0 | "same faint chemical signature" |
| | adverbCount | 32 | | adverbRatio | 0.031840796019900496 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.010945273631840797 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 10.73 | | std | 9.14 | | cv | 0.851 | | sampleLengths | | 0 | 6 | | 1 | 19 | | 2 | 4 | | 3 | 14 | | 4 | 1 | | 5 | 3 | | 6 | 16 | | 7 | 20 | | 8 | 16 | | 9 | 7 | | 10 | 8 | | 11 | 8 | | 12 | 6 | | 13 | 19 | | 14 | 14 | | 15 | 2 | | 16 | 4 | | 17 | 7 | | 18 | 12 | | 19 | 12 | | 20 | 20 | | 21 | 9 | | 22 | 3 | | 23 | 17 | | 24 | 22 | | 25 | 4 | | 26 | 5 | | 27 | 2 | | 28 | 8 | | 29 | 16 | | 30 | 18 | | 31 | 2 | | 32 | 28 | | 33 | 11 | | 34 | 18 | | 35 | 11 | | 36 | 5 | | 37 | 3 | | 38 | 6 | | 39 | 11 | | 40 | 29 | | 41 | 2 | | 42 | 15 | | 43 | 8 | | 44 | 10 | | 45 | 10 | | 46 | 9 | | 47 | 8 | | 48 | 5 | | 49 | 7 |
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| 86.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.5486725663716814 | | totalSentences | 113 | | uniqueOpeners | 62 | |
| 80.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 83 | | matches | | 0 | "Always around the full moon," | | 1 | "Then the torchlight caught the" |
| | ratio | 0.024 | |
| 56.14% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 83 | | matches | | 0 | "His eyes were open." | | 1 | "His face wore an expression" | | 2 | "she asked without looking up" | | 3 | "He was young, sharp-jawed, with" | | 4 | "She was already looking." | | 5 | "She'd seen it the moment" | | 6 | "She stood, her knees protesting" | | 7 | "Her gaze moved across the" | | 8 | "She walked the platform's edge" | | 9 | "she said, almost to herself" | | 10 | "She'd pulled the Camden Underground" | | 11 | "She crouched again beside the" | | 12 | "His fingers were relaxed, not" | | 13 | "She pressed that thought flat" | | 14 | "She produced a torch and" | | 15 | "She'd seen that shape before." | | 16 | "She straightened, scanning the platform" | | 17 | "She filed that away." | | 18 | "She used his first name" | | 19 | "He looked at her for" |
| | ratio | 0.41 | |
| 74.46% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 83 | | matches | | 0 | "The body shouldn't have been" | | 1 | "Quinn crouched over the dead" | | 2 | "His eyes were open." | | 3 | "His face wore an expression" | | 4 | "The abandoned Tube station smelled" | | 5 | "Torches from the uniformed officers" | | 6 | "Someone had found the body" | | 7 | "Quinn had noted that on" | | 8 | "she asked without looking up" | | 9 | "DC Yusuf Reeves crouched beside" | | 10 | "He was young, sharp-jawed, with" | | 11 | "She was already looking." | | 12 | "She'd seen it the moment" | | 13 | "The edges resolved into a" | | 14 | "Reeves produced his notebook" | | 15 | "Reeves looked at the shoes." | | 16 | "She stood, her knees protesting" | | 17 | "Her gaze moved across the" | | 18 | "She walked the platform's edge" | | 19 | "Food packaging, a crushed paper" |
| | ratio | 0.771 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 69.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 4 | | matches | | 0 | "He was young, sharp-jawed, with the kind of careful optimism that hadn't yet been ground down by the job." | | 1 | "The edges resolved into a pattern, intricate and deliberate, as if someone had pressed a burning brand against his neck." | | 2 | "A small impression marked the skin, as if he'd gripped something tightly for a long time." | | 3 | "Beneath the shuffle of Reeves bagging the token, beneath the radio crackle from the platform behind them, beneath the drip of water somewhere far above — a soun…" |
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| 66.18% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 2 | | matches | | 0 | "She stood, her knees protesting the cold concrete" | | 1 | "she said, almost to herself" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 35 | | tagDensity | 0.171 | | leniency | 0.343 | | rawRatio | 0.167 | | effectiveRatio | 0.057 | |