| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1236 | | totalAiIsmAdverbs | 2 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | |
| | highlights | | 0 | "deliberately" | | 1 | "slightly" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 83.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1236 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "glint" | | 1 | "silk" | | 2 | "calibrated" |
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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 | 80 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 80 | | 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 | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1242 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 1 | | matches | | 0 | "Beyond it, a short corridor ended in a larger space — an old storage room, she guessed, though it bore no resemblance to…" |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1008 | | uniqueNames | 14 | | maxNameDensity | 0.89 | | worstName | "Carver" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Quinn | 7 | | British | 1 | | Rail | 1 | | Reeves | 2 | | Underground | 1 | | Camden | 1 | | Council | 1 | | Oxford | 1 | | Carver | 9 | | Bellamy | 2 | | Oxfords | 1 | | Whitechapel | 1 | | Crowley | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Reeves" | | 2 | "Underground" | | 3 | "Council" | | 4 | "Carver" | | 5 | "Bellamy" |
| | places | | 0 | "Oxford" | | 1 | "Oxfords" | | 2 | "Crowley" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like bone — polished smooth, rough" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1242 | | matches | (empty) | |
| 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 | 41 | | mean | 30.29 | | std | 28.31 | | cv | 0.934 | | sampleLengths | | 0 | 62 | | 1 | 18 | | 2 | 74 | | 3 | 66 | | 4 | 24 | | 5 | 27 | | 6 | 3 | | 7 | 12 | | 8 | 54 | | 9 | 5 | | 10 | 37 | | 11 | 47 | | 12 | 3 | | 13 | 10 | | 14 | 50 | | 15 | 3 | | 16 | 4 | | 17 | 6 | | 18 | 10 | | 19 | 41 | | 20 | 11 | | 21 | 9 | | 22 | 1 | | 23 | 98 | | 24 | 90 | | 25 | 10 | | 26 | 17 | | 27 | 104 | | 28 | 11 | | 29 | 4 | | 30 | 19 | | 31 | 41 | | 32 | 43 | | 33 | 20 | | 34 | 57 | | 35 | 2 | | 36 | 71 | | 37 | 24 | | 38 | 9 | | 39 | 39 | | 40 | 6 |
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| 92.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 80 | | matches | | 0 | "been invited" | | 1 | "were calibrated" | | 2 | "was calibrated" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 154 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 100 | | ratio | 0.1 | | matches | | 0 | "The abandoned Tube station smelled of damp concrete and something older — a mineral sharpness that caught at the back of Quinn's throat the moment she ducked under the cordon tape." | | 1 | "The body was a man in his mid-forties, dressed well — a decent overcoat, leather Oxford shoes, a silk pocket square still neatly folded in his breast pocket." | | 2 | "Carver was right — no scuffing, no grime from the walk down the access stairs, which she'd noted were thick with decades of dust." | | 3 | "She crossed to the nearest one — a small brass object the size of a coat button — and bent to examine it without touching it." | | 4 | "\"It's not near his pocket. It's two metres from the body.\" She stood and moved to the next marker, a fragment of what looked like bone — polished smooth, roughly hexagonal, with a small hole drilled through its centre." | | 5 | "The phrase had surfaced from a briefing she'd sat through six months ago, after the Whitechapel incident — a presentation by an analyst from a unit she'd never been formally introduced to, working out of an office she'd never been invited back to." | | 6 | "There were footprints — dozens of them, overlapping, coming from the far end of the platform where a set of maintenance doors stood ajar." | | 7 | "Beyond it, a short corridor ended in a larger space — an old storage room, she guessed, though it bore no resemblance to a storage room now." | | 8 | "It pointed down — at an angle, as though whatever it was calibrated to detect lay beneath the station floor." | | 9 | "The footprints in the dust — the strange ones, the narrow ones — came from that direction." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 833 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.025210084033613446 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.009603841536614645 | |
| 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 | 12.42 | | std | 9.49 | | cv | 0.764 | | sampleLengths | | 0 | 31 | | 1 | 31 | | 2 | 18 | | 3 | 18 | | 4 | 9 | | 5 | 22 | | 6 | 11 | | 7 | 14 | | 8 | 28 | | 9 | 22 | | 10 | 7 | | 11 | 9 | | 12 | 24 | | 13 | 9 | | 14 | 18 | | 15 | 3 | | 16 | 12 | | 17 | 9 | | 18 | 3 | | 19 | 25 | | 20 | 12 | | 21 | 1 | | 22 | 4 | | 23 | 5 | | 24 | 2 | | 25 | 31 | | 26 | 4 | | 27 | 6 | | 28 | 24 | | 29 | 13 | | 30 | 4 | | 31 | 3 | | 32 | 10 | | 33 | 14 | | 34 | 10 | | 35 | 26 | | 36 | 3 | | 37 | 4 | | 38 | 6 | | 39 | 3 | | 40 | 7 | | 41 | 39 | | 42 | 2 | | 43 | 3 | | 44 | 8 | | 45 | 9 | | 46 | 1 | | 47 | 10 | | 48 | 43 | | 49 | 5 |
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| 78.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5 | | totalSentences | 100 | | uniqueOpeners | 50 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 58.89% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 72 | | matches | | 0 | "Her torch swept across the" | | 1 | "She'd read the file in" | | 2 | "He lay on his back" | | 3 | "His face held no expression" | | 4 | "He tilted his head at" | | 5 | "She lifted his right hand" | | 6 | "She checked the left." | | 7 | "He gestured at the Oxfords" | | 8 | "She looked at the shoes" | | 9 | "Her own boots had picked" | | 10 | "She crossed to the nearest" | | 11 | "He walked over, unhurried." | | 12 | "He looked down." | | 13 | "She stood and moved to" | | 14 | "She moved away before he" | | 15 | "She walked the perimeter of" | | 16 | "She crossed to the maintenance" | | 17 | "She crouched over the iron" | | 18 | "She walked back to the" | | 19 | "She photographed them separately." |
| | ratio | 0.403 | |
| 36.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 72 | | matches | | 0 | "The abandoned Tube station smelled" | | 1 | "Her torch swept across the" | | 2 | "Constable Reeves waved from the" | | 3 | "Quinn picked her way along" | | 4 | "The Underground had sealed it" | | 5 | "She'd read the file in" | | 6 | "None of that paperwork had" | | 7 | "The body was a man" | | 8 | "He lay on his back" | | 9 | "His face held no expression" | | 10 | "DS Carver stood on the" | | 11 | "He tilted his head at" | | 12 | "Quinn crouched beside the body," | | 13 | "The skin of Bellamy's face" | | 14 | "She lifted his right hand" | | 15 | "She checked the left." | | 16 | "He gestured at the Oxfords" | | 17 | "She looked at the shoes" | | 18 | "Carver was right — no" | | 19 | "Her own boots had picked" |
| | ratio | 0.847 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 4 | | matches | | 0 | "The abandoned Tube station smelled of damp concrete and something older — a mineral sharpness that caught at the back of Quinn's throat the moment she ducked un…" | | 1 | "Quinn picked her way along the edge, avoiding the evidence markers that dotted the ground in uneven clusters." | | 2 | "He lay on his back with his arms at his sides, palms up, as though he'd lain down deliberately and simply stopped." | | 3 | "One of them had been a polished hexagonal disc of bone, identical to the one sitting two metres from the body of a solicitor who shouldn't have been able to fin…" |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "Constable Reeves waved, his breath fogging in the cold" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.114 | | leniency | 0.229 | | rawRatio | 0 | | effectiveRatio | 0 | |