| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1734 | | totalAiIsmAdverbs | 3 | | 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) | |
| 82.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1734 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "measured" | | 1 | "footfall" | | 2 | "weight" | | 3 | "echo" | | 4 | "facade" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 106 | | matches | (empty) | |
| 61.99% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 2 | | narrationSentences | 106 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 107 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1723 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 61 | | wordCount | 1712 | | uniqueNames | 20 | | maxNameDensity | 0.93 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | London | 2 | | Harlow | 2 | | Quinn | 16 | | Herrera | 10 | | Saint | 1 | | Christopher | 1 | | Raven | 2 | | Nest | 3 | | Soho | 1 | | Tommy | 2 | | Camden | 2 | | Morris | 4 | | Market | 3 | | Northern | 1 | | Line | 1 | | Veil | 2 | | Tube | 1 | | Met | 1 | | Detective | 2 | | Rain | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Raven" | | 6 | "Nest" | | 7 | "Tommy" | | 8 | "Morris" | | 9 | "Market" | | 10 | "Met" | | 11 | "Rain" |
| | places | | 0 | "London" | | 1 | "Soho" | | 2 | "Camden" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 89 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.58 | | wordCount | 1723 | | matches | | 0 | "not yet for striking, but ready" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 107 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 68.92 | | std | 34.9 | | cv | 0.506 | | sampleLengths | | 0 | 96 | | 1 | 132 | | 2 | 52 | | 3 | 108 | | 4 | 64 | | 5 | 39 | | 6 | 43 | | 7 | 100 | | 8 | 2 | | 9 | 134 | | 10 | 101 | | 11 | 91 | | 12 | 108 | | 13 | 8 | | 14 | 47 | | 15 | 55 | | 16 | 109 | | 17 | 35 | | 18 | 72 | | 19 | 54 | | 20 | 49 | | 21 | 75 | | 22 | 71 | | 23 | 37 | | 24 | 41 |
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| 92.02% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 106 | | matches | | 0 | "been chased" | | 1 | "been spent" | | 2 | "was filed" | | 3 | "been fixed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 274 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 4 | | flaggedSentences | 12 | | totalSentences | 107 | | ratio | 0.112 | | matches | | 0 | "Short, dark curls clung to his olive forehead; the Saint Christopher medallion around his neck flashed once under a stuttering streetlamp and vanished again into the folds of his soaked jacket." | | 1 | "Herrera—former NHS, now unlicensed, the one her informants called Tommy when they thought no one was listening—had finally given her something solid." | | 2 | "A black cab blared past; Quinn shadowed its wake, close enough now that the spray from its tires hit her mid-thigh." | | 3 | "Knife scar, her files said; the attack that had convinced him hospitals were safer places to leave than to stay." | | 4 | "Three of them had been spent chasing the empty spaces DS Morris left behind—unexplained, unsolved, the kind that made commanding officers clear their throats and suggest she move on." | | 5 | "Rain filled her eyes; she blinked hard and locked onto the dark curl of his hair again." | | 6 | "Warm brown eyes widened a fraction—recognition, calculation, the brief animal flash of a prey animal that has just decided the open ground is worse than the unknown tunnel." | | 7 | "She was closer now—three body lengths, then two." | | 8 | "She got a proper look at the scar on his forearm—raised, pale, the deliberate line of a blade that had meant business." | | 9 | "A figure detached itself from the deeper shadow under the arch—tall, hooded, face lost in black cloth, posture that of a man whose job was to stand very still for a very long time." | | 10 | "The Veil Market—she had heard the name twice in three years of half-cleared cases, always spoken by people who either smirked as if she were gullible or went suddenly quiet when she asked for details." | | 11 | "Quinn drew her baton—not yet for striking, but ready—and started down." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1742 | | adjectiveStacks | 1 | | stackExamples | | 0 | "rain-slick ordinary world," |
| | adverbCount | 62 | | adverbRatio | 0.03559127439724455 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.007462686567164179 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 107 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 107 | | mean | 16.1 | | std | 10.11 | | cv | 0.628 | | sampleLengths | | 0 | 21 | | 1 | 24 | | 2 | 20 | | 3 | 31 | | 4 | 10 | | 5 | 31 | | 6 | 42 | | 7 | 27 | | 8 | 22 | | 9 | 18 | | 10 | 21 | | 11 | 8 | | 12 | 5 | | 13 | 2 | | 14 | 33 | | 15 | 20 | | 16 | 16 | | 17 | 8 | | 18 | 29 | | 19 | 14 | | 20 | 13 | | 21 | 12 | | 22 | 8 | | 23 | 17 | | 24 | 3 | | 25 | 28 | | 26 | 8 | | 27 | 8 | | 28 | 20 | | 29 | 3 | | 30 | 12 | | 31 | 22 | | 32 | 17 | | 33 | 14 | | 34 | 16 | | 35 | 8 | | 36 | 11 | | 37 | 12 | | 38 | 2 | | 39 | 6 | | 40 | 20 | | 41 | 28 | | 42 | 21 | | 43 | 22 | | 44 | 12 | | 45 | 11 | | 46 | 14 | | 47 | 24 | | 48 | 18 | | 49 | 18 |
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| 70.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4392523364485981 | | totalSentences | 107 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 100 | | matches | | 0 | "Then he put his head" | | 1 | "Then he dropped his weight," | | 2 | "Somewhere deeper still she heard" |
| | ratio | 0.03 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 100 | | matches | | 0 | "She had clocked that same" | | 1 | "He cut left onto a" | | 2 | "she shouted, voice punching through" | | 3 | "He vaulted a low construction" | | 4 | "He bullied through them without" | | 5 | "He glanced back." | | 6 | "She kept running." | | 7 | "They left the brighter arteries" | | 8 | "She was closer now—three body" | | 9 | "She could almost feel the" | | 10 | "Her hand closed on wet" | | 11 | "He twisted with paramedic knowledge" | | 12 | "She got a proper look" | | 13 | "Her brown eyes raked the" | | 14 | "She was alone now in" | | 15 | "Her own desk still held" | | 16 | "She pressed harder." | | 17 | "She could walk thirty yards" | | 18 | "Her memorial for Morris still" | | 19 | "She had eighteen years of" |
| | ratio | 0.27 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 100 | | matches | | 0 | "Detective Harlow Quinn ran through" | | 1 | "Water sheeted off her closely" | | 2 | "The worn leather watch on" | | 3 | "Tomás Herrera moved like someone" | | 4 | "She had clocked that same" | | 5 | "Quinn had been on the" | | 6 | "Herrera—former NHS, now unlicensed, the" | | 7 | "He cut left onto a" | | 8 | "A black cab blared past;" | | 9 | "she shouted, voice punching through" | | 10 | "He vaulted a low construction" | | 11 | "Knife scar, her files said;" | | 12 | "Quinn cleared the same barrier" | | 13 | "A knot of late clubbers" | | 14 | "He bullied through them without" | | 15 | "Quinn used the same gap," | | 16 | "Someone’s umbrella snapped against her" | | 17 | "Rain filled her eyes; she" | | 18 | "He glanced back." | | 19 | "Quinn’s radio crackled useless static" |
| | ratio | 0.8 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 100 | | matches | (empty) | | ratio | 0 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 72 | | technicalSentenceCount | 12 | | matches | | 0 | "He vaulted a low construction barrier with an economy of motion that spoke of old training, and the bright white scar along his left forearm caught the light as…" | | 1 | "Three of them had been spent chasing the empty spaces DS Morris left behind—unexplained, unsolved, the kind that made commanding officers clear their throats an…" | | 2 | "Quinn stumbled after, swearing once under her breath, chasing the echo of his boots." | | 3 | "The alleys bent downward now, following the ancient slope of the land toward the river of abandoned infrastructure that slept under the living city." | | 4 | "A single security light strobed over a chain-link fence that had long since been cut and poorly repaired." | | 5 | "Herrera held out something small and pale: roughly the size of a pound coin, irregular edges that read as bone even from ten yards away." | | 6 | "A section of gate that should have been fixed swung inward on silent hinges, exhaling a breath of colder air that smelled of damp stone, ozone, and a sweet, dus…" | | 7 | "The Veil Market—she had heard the name twice in three years of half-cleared cases, always spoken by people who either smirked as if she were gullible or went su…" | | 8 | "She could walk thirty yards back to clearer signal and call the night team, describe an unmarked door in an abandoned station, watch them arrive with flashlight…" | | 9 | "Somewhere deeper still she heard the first faint stirrings of other voices, the clink of glass on glass, the muted auctioneer’s drone of people who did not expe…" | | 10 | "She thought of Herrera’s scar, of the bone disc that had bought him passage, of the green neon of the Raven’s Nest that had started the whole bloody chase." | | 11 | "Below, the Veil Market waited with its hollowed platforms and its hungry stalls, and Detective Harlow Quinn walked forward into the place that swallowed detecti…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "she shouted, voice punching through the downpour" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 1 | | effectiveRatio | 0.667 | |