| 9.52% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 4 | | adverbTags | | 0 | "Eva said quietly [quietly]" | | 1 | "She straightened slowly [slowly]" | | 2 | "Eva said finally [finally]" | | 3 | "She swallowed hard [hard]" |
| | dialogueSentences | 42 | | tagDensity | 0.381 | | leniency | 0.762 | | rawRatio | 0.25 | | effectiveRatio | 0.19 | |
| 71.26% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2088 | | totalAiIsmAdverbs | 12 | | found | | | highlights | | 0 | "slightly" | | 1 | "precisely" | | 2 | "quickly" | | 3 | "carefully" | | 4 | "very" | | 5 | "slowly" | | 6 | "sharply" |
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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) | |
| 73.66% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2088 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "processed" | | 1 | "echoing" | | 2 | "predator" | | 3 | "systematic" | | 4 | "constructed" | | 5 | "aftermath" | | 6 | "predictable" | | 7 | "etched" | | 8 | "framework" |
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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 | 102 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 102 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 128 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 68 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2111 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1470 | | uniqueNames | 7 | | maxNameDensity | 1.36 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 20 | | Camden | 1 | | Bermondsey | 2 | | Morris | 1 | | Adebayo | 1 | | Eva | 10 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Adebayo" | | 4 | "Eva" |
| | places | | | globalScore | 0.82 | | windowScore | 0.667 | |
| 86.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a brand, raised and smooth, i" | | 1 | "as though offering a peace token to a predator" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.474 | | wordCount | 2111 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 128 | | matches | | 0 | "filed that hesitation" | | 1 | "support that reading" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 42.22 | | std | 33.19 | | cv | 0.786 | | sampleLengths | | 0 | 100 | | 1 | 15 | | 2 | 90 | | 3 | 11 | | 4 | 30 | | 5 | 58 | | 6 | 46 | | 7 | 2 | | 8 | 50 | | 9 | 1 | | 10 | 31 | | 11 | 77 | | 12 | 88 | | 13 | 79 | | 14 | 16 | | 15 | 5 | | 16 | 76 | | 17 | 22 | | 18 | 80 | | 19 | 19 | | 20 | 66 | | 21 | 4 | | 22 | 60 | | 23 | 49 | | 24 | 3 | | 25 | 36 | | 26 | 83 | | 27 | 7 | | 28 | 102 | | 29 | 6 | | 30 | 13 | | 31 | 68 | | 32 | 31 | | 33 | 1 | | 34 | 2 | | 35 | 77 | | 36 | 70 | | 37 | 5 | | 38 | 78 | | 39 | 8 | | 40 | 10 | | 41 | 13 | | 42 | 36 | | 43 | 50 | | 44 | 130 | | 45 | 52 | | 46 | 62 | | 47 | 44 | | 48 | 35 | | 49 | 14 |
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| 81.18% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 7 | | totalSentences | 102 | | matches | | 0 | "been stripped" | | 1 | "been drawn" | | 2 | "been inscribed " | | 3 | "was joined" | | 4 | "been constructed" | | 5 | "been swept" | | 6 | "was etched" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 231 | | matches | | 0 | "was always unsettling" | | 1 | "was still examining" | | 2 | "was tucking" | | 3 | "was already cataloguing " | | 4 | "was choosing" | | 5 | "was performing " | | 6 | "was performing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 0 | | flaggedSentences | 13 | | totalSentences | 128 | | ratio | 0.102 | | matches | | 0 | "There was something else underneath it — sweet and acrid at once, like burnt lavender mixed with ozone after a lightning strike." | | 1 | "The station's original signage had been stripped long ago, but the bones of the place remained — the vaulted ceiling, the geometric tile patterns now cracked and colonized by dark mold, the tracks below the platform edge choked with decades of debris." | | 2 | "Her left hand drifted to the worn leather strap of her watch and she pressed her thumb against the underside of the face — a grounding habit, something to keep her rooted in what was measurable, observable, real." | | 3 | "Inside the circle, smaller symbols had been inscribed — she didn't recognize them, but they had an intentionality to them, a grammar." | | 4 | "There — on the inside of his left wrist, partially hidden by his sleeve — a mark." | | 5 | "\"And you are?\" Quinn kept her voice level, but she was already cataloguing — no lanyard, no forensic suit, no police ID." | | 6 | "\"He and I have a — we've consulted before. Historical graffiti cases, mostly. Vandalism in old churches. Things like that.\" Eva's green eyes moved past Quinn to the chalk circle, and something shifted in her expression — the anxiety didn't leave, but it was joined by a sharp, focused attention." | | 7 | "She'd been to enough scenes to know when evidence was performing — when a crime scene had been constructed to tell a story rather than simply existing as the aftermath of an event." | | 8 | "In an abandoned station, dust settled in predictable patterns — heavier near the walls, thinner where air currents from the tunnels kept the surface relatively clean." | | 9 | "Not just drawn on — prepared." | | 10 | "The face was etched with markings she didn't recognize — more of those deliberate, systematic symbols — and the needle sat frozen at an angle that pointed toward neither north nor any other cardinal direction she could determine." | | 11 | "The anxiety, the nervous energy, the academic excitement — all of it vanished behind a mask of absolute, practiced blankness." | | 12 | "Not from fear — from recognition." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1456 | | adjectiveStacks | 1 | | stackExamples | | 0 | "same helpless, furious admission" |
| | adverbCount | 53 | | adverbRatio | 0.036401098901098904 | | lyAdverbCount | 23 | | lyAdverbRatio | 0.015796703296703296 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 128 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 128 | | mean | 16.49 | | std | 13.1 | | cv | 0.795 | | sampleLengths | | 0 | 4 | | 1 | 28 | | 2 | 20 | | 3 | 22 | | 4 | 26 | | 5 | 15 | | 6 | 15 | | 7 | 42 | | 8 | 19 | | 9 | 14 | | 10 | 11 | | 11 | 26 | | 12 | 4 | | 13 | 47 | | 14 | 11 | | 15 | 11 | | 16 | 17 | | 17 | 14 | | 18 | 4 | | 19 | 2 | | 20 | 50 | | 21 | 1 | | 22 | 31 | | 23 | 20 | | 24 | 15 | | 25 | 4 | | 26 | 38 | | 27 | 11 | | 28 | 24 | | 29 | 22 | | 30 | 9 | | 31 | 22 | | 32 | 16 | | 33 | 10 | | 34 | 8 | | 35 | 3 | | 36 | 17 | | 37 | 3 | | 38 | 17 | | 39 | 5 | | 40 | 16 | | 41 | 5 | | 42 | 4 | | 43 | 29 | | 44 | 12 | | 45 | 2 | | 46 | 8 | | 47 | 21 | | 48 | 22 | | 49 | 38 |
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| 66.41% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.421875 | | totalSentences | 128 | | uniqueOpeners | 54 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 98 | | matches | (empty) | | ratio | 0 | |
| 97.55% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 98 | | matches | | 0 | "She'd smelled it once before," | | 1 | "She pressed the memory down" | | 2 | "She pulled a pair of" | | 3 | "He tilted the tablet toward" | | 4 | "He wore a dark wool" | | 5 | "His eyes were open." | | 6 | "Her left hand drifted to" | | 7 | "She leaned closer." | | 8 | "It looked like a brand," | | 9 | "She was still examining it" | | 10 | "She was tucking a strand" | | 11 | "She stepped closer, adjusting her" | | 12 | "She gestured toward the circle" | | 13 | "She didn't touch anything." | | 14 | "Her eyes moved across the" | | 15 | "She'd been to enough scenes" | | 16 | "It wanted to look ritualistic." | | 17 | "It wanted to look like" | | 18 | "She knelt again, this time" | | 19 | "She pointed to four roughly" |
| | ratio | 0.306 | |
| 72.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 98 | | matches | | 0 | "The platform smelled wrong." | | 1 | "That was the first thing" | | 2 | "She'd smelled it once before," | | 3 | "She pressed the memory down" | | 4 | "The station's original signage had" | | 5 | "Sergeant Adebayo spotted her and" | | 6 | "She pulled a pair of" | | 7 | "He tilted the tablet toward" | | 8 | "Quinn took the tablet and" | | 9 | "The victim lay on his" | | 10 | "He wore a dark wool" | | 11 | "His eyes were open." | | 12 | "Quinn handed the tablet back" | | 13 | "That same impossible sweetness." | | 14 | "Her left hand drifted to" | | 15 | "The body came into view" | | 16 | "The chalk circle was roughly" | | 17 | "The victim's expression was peaceful," | | 18 | "A forensic technician in a" | | 19 | "Quinn crouched beside the body" |
| | ratio | 0.776 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 98 | | matches | (empty) | | ratio | 0 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 7 | | matches | | 0 | "Not the expected cocktail of damp concrete, old grease, and the particular staleness of air that hadn't circulated in decades." | | 1 | "A young woman stood at the edge of the floodlit zone, one hand gripping the strap of a battered leather satchel that bulged with the unmistakable shapes of book…" | | 2 | "Eva looked up at her, and behind those round glasses her expression was carefully neutral in a way that told Quinn everything about what the woman was choosing …" | | 3 | "Not the crime scene team's overlapping boot prints, which were easy to distinguish." | | 4 | "Small, brass, its casing covered in a patina of verdigris that spoke of considerable age." | | 5 | "The compass sat between them on the filthy concrete, its frozen needle aimed at a dead man in a chalk circle inside a station that shouldn't have been accessibl…" | | 6 | "It pointed at the dead man with the patience of something that had been pointing at things for a very long time." |
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| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | 0 | "She straightened slowly, her knees protesting the concrete" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 42 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0 | | effectiveRatio | 0 | |