| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "The man’s fingers curled around [around]" |
| | dialogueSentences | 51 | | tagDensity | 0.176 | | leniency | 0.353 | | rawRatio | 0.111 | | effectiveRatio | 0.039 | |
| 93.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1612 | | 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) | |
| 34.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1612 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "gloom" | | 1 | "flicked" | | 2 | "pulse" | | 3 | "traced" | | 4 | "pristine" | | 5 | "glint" | | 6 | "etched" | | 7 | "echoed" | | 8 | "maw" | | 9 | "pulsed" | | 10 | "unwavering" | | 11 | "silence" | | 12 | "echo" | | 13 | "footsteps" | | 14 | "stomach" | | 15 | "potential" | | 16 | "whisper" | | 17 | "velvet" | | 18 | "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 | 150 | | matches | (empty) | |
| 95.24% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 3 | | narrationSentences | 150 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 191 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 11 | | totalWords | 1593 | | ratio | 0.007 | | matches | | 0 | "Keep Calm and Carry On" | | 1 | "click" | | 2 | "from" | | 3 | "market" | | 4 | "people" | | 5 | "enforces" | | 6 | "go" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 87.81% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1206 | | uniqueNames | 9 | | maxNameDensity | 1.24 | | worstName | "Whitaker" | | maxWindowNameDensity | 2 | | worstWindowName | "Whitaker" | | discoveredNames | | Tube | 1 | | Quinn | 1 | | Calm | 1 | | Carry | 1 | | Tom | 1 | | Whitaker | 15 | | Morris | 1 | | Harlow | 13 | | Market | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Tom" | | 2 | "Whitaker" | | 3 | "Morris" | | 4 | "Harlow" |
| | places | (empty) | | globalScore | 0.878 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 1 | | matches | | 0 | "coat that seemed to drink the light" |
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| 74.45% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.255 | | wordCount | 1593 | | matches | | 0 | "not expecting a pulse, but the skin wasn’t cold" | | 1 | "Not the sickly yellow of their torches, but something blue-white, flickering like a dying bulb" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 191 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 71 | | mean | 22.44 | | std | 18.58 | | cv | 0.828 | | sampleLengths | | 0 | 73 | | 1 | 45 | | 2 | 14 | | 3 | 50 | | 4 | 49 | | 5 | 21 | | 6 | 46 | | 7 | 16 | | 8 | 27 | | 9 | 18 | | 10 | 59 | | 11 | 8 | | 12 | 57 | | 13 | 41 | | 14 | 4 | | 15 | 20 | | 16 | 17 | | 17 | 20 | | 18 | 54 | | 19 | 5 | | 20 | 13 | | 21 | 3 | | 22 | 19 | | 23 | 17 | | 24 | 1 | | 25 | 29 | | 26 | 7 | | 27 | 11 | | 28 | 39 | | 29 | 3 | | 30 | 5 | | 31 | 54 | | 32 | 1 | | 33 | 51 | | 34 | 7 | | 35 | 14 | | 36 | 26 | | 37 | 11 | | 38 | 8 | | 39 | 5 | | 40 | 12 | | 41 | 13 | | 42 | 24 | | 43 | 8 | | 44 | 41 | | 45 | 17 | | 46 | 44 | | 47 | 10 | | 48 | 85 | | 49 | 3 |
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| 93.57% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 150 | | matches | | 0 | "was frozen" | | 1 | "been posed" | | 2 | "been kept" | | 3 | "being dumped" | | 4 | "been held" | | 5 | "been handled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 211 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 1 | | flaggedSentences | 11 | | totalSentences | 191 | | ratio | 0.058 | | matches | | 0 | "The beam of her torch cut through the gloom, illuminating peeling posters from the 1940s—*Keep Calm and Carry On*—their edges curled like dying leaves." | | 1 | "The man—late thirties, suit still crisp despite the blood—lay sprawled half on the platform, half off, one arm dangling over the edge like he’d been mid-gesture when death took him." | | 2 | "The station had been damp for decades; the air thick enough to taste." | | 3 | "Her light caught something near the man’s fingers—a glint of brass, half-buried under his palm." | | 4 | "A sound echoed from the tunnel—a distant *click*, like a bootheel on metal." | | 5 | "She pocketed the compass, her fingers brushing the worn leather of her watch—DS Morris’s watch, now hers by default—and stood." | | 6 | "Then—light." | | 7 | "And from the gap, a scent drifted—ozone and something sweet, like rotting flowers." | | 8 | "A jar of teeth—human, by the look of them—floating in brine." | | 9 | "A child—no, not a child, something wearing a child’s face—grinning as it gnawed on a chicken bone, its teeth too sharp." | | 10 | "Harlow shot him a glance—his face was grey, his torch beam trembling." |
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| 93.97% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1224 | | adjectiveStacks | 1 | | stackExamples | | 0 | "same blue-white light." |
| | adverbCount | 49 | | adverbRatio | 0.04003267973856209 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.007352941176470588 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 191 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 191 | | mean | 8.34 | | std | 6.32 | | cv | 0.757 | | sampleLengths | | 0 | 22 | | 1 | 15 | | 2 | 24 | | 3 | 12 | | 4 | 16 | | 5 | 17 | | 6 | 12 | | 7 | 5 | | 8 | 9 | | 9 | 30 | | 10 | 9 | | 11 | 1 | | 12 | 10 | | 13 | 11 | | 14 | 6 | | 15 | 5 | | 16 | 8 | | 17 | 14 | | 18 | 2 | | 19 | 3 | | 20 | 3 | | 21 | 18 | | 22 | 3 | | 23 | 8 | | 24 | 4 | | 25 | 2 | | 26 | 13 | | 27 | 16 | | 28 | 6 | | 29 | 3 | | 30 | 2 | | 31 | 5 | | 32 | 12 | | 33 | 15 | | 34 | 3 | | 35 | 6 | | 36 | 9 | | 37 | 15 | | 38 | 11 | | 39 | 8 | | 40 | 13 | | 41 | 5 | | 42 | 7 | | 43 | 4 | | 44 | 4 | | 45 | 3 | | 46 | 12 | | 47 | 19 | | 48 | 5 | | 49 | 4 |
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| 46.77% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.32460732984293195 | | totalSentences | 191 | | uniqueOpeners | 62 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 135 | | matches | | 0 | "Just the faintest stiffness, like" | | 1 | "Too often for a trinket." | | 2 | "Just more of those damn" | | 3 | "Just adjusted his coat and" | | 4 | "Just the hollow echo of" | | 5 | "Then he cursed, sharp and" | | 6 | "Instead, he reached into his" |
| | ratio | 0.052 | |
| 95.56% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 135 | | matches | | 0 | "She didn’t rise to it." | | 1 | "Her torch flicked past him," | | 2 | "His face was frozen in" | | 3 | "She reached for his wrist," | | 4 | "She didn’t answer." | | 5 | "Her fingers traced the man’s" | | 6 | "Her torch swept the platform" | | 7 | "Her light caught something near" | | 8 | "She tugged a latex glove" | | 9 | "It twitched, erratic, like a" | | 10 | "She didn’t answer." | | 11 | "She turned it over." | | 12 | "She didn’t bother repeating herself." | | 13 | "She pocketed the compass, her" | | 14 | "She stepped toward the tunnel." | | 15 | "His grip tightened." | | 16 | "She looked at his fingers" | | 17 | "He muttered something under his" | | 18 | "She didn’t smile." | | 19 | "She kept her free hand" |
| | ratio | 0.311 | |
| 63.70% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 107 | | totalSentences | 135 | | matches | | 0 | "The abandoned Tube station reeked" | | 1 | "Harlow Quinn stepped over the" | | 2 | "The beam of her torch" | | 3 | "A figure shifted near the" | | 4 | "She didn’t rise to it." | | 5 | "Her torch flicked past him," | | 6 | "The man—late thirties, suit still" | | 7 | "His face was frozen in" | | 8 | "The kind that hollowed a" | | 9 | "Harlow crouched, the knees of" | | 10 | "She reached for his wrist," | | 11 | "Whitaker exhaled smoke." | | 12 | "She didn’t answer." | | 13 | "Her fingers traced the man’s" | | 14 | "The fabric was dry." | | 15 | "The station had been damp" | | 16 | "Her torch swept the platform" | | 17 | "Whitaker shifted, the sole of" | | 18 | "Harlow’s jaw tightened." | | 19 | "Junkies didn’t leave bodies this" |
| | ratio | 0.793 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 135 | | matches | (empty) | | ratio | 0 | |
| 99.13% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 3 | | matches | | 0 | "The abandoned Tube station reeked of damp concrete and something older, something that clung to the back of the throat like rust." | | 1 | "The air on the other side was warmer, thick with the scent of iron and something older, something that made her teeth ache." | | 2 | "The stalls seemed to recede with him, the blue-white light dimming, as if the Market itself was retreating." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 51 | | tagDensity | 0.02 | | leniency | 0.039 | | rawRatio | 0 | | effectiveRatio | 0 | |