| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.316 | | leniency | 0.632 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1907 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 84.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1907 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "footsteps" | | 1 | "pulsed" | | 2 | "silence" | | 3 | "weight" | | 4 | "resolve" |
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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 | 2 | | narrationSentences | 130 | | matches | | 0 | "was afraid" | | 1 | "felt the ache" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 130 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 143 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1903 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1645 | | uniqueNames | 17 | | maxNameDensity | 0.67 | | worstName | "Herrera" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 10 | | High | 1 | | Street | 2 | | Herrera | 11 | | Saint | 2 | | Christopher | 2 | | Met | 2 | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Underground | 1 | | Silas | 1 | | Morris | 2 | | Berwick | 1 | | Seville | 1 | | London | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Met" | | 6 | "Raven" | | 7 | "Silas" | | 8 | "Morris" |
| | places | | 0 | "High" | | 1 | "Street" | | 2 | "Soho" | | 3 | "Berwick" | | 4 | "Seville" | | 5 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 87 | | glossingSentenceCount | 1 | | matches | | 0 | "not quite resolve—a shape in a coat too long for the weather, a hand that took the token without seeming to touch his skin" |
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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 | 1903 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 143 | | matches | | 0 | "announce that she" | | 1 | "suggest that a" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 46.41 | | std | 31.27 | | cv | 0.674 | | sampleLengths | | 0 | 70 | | 1 | 66 | | 2 | 54 | | 3 | 78 | | 4 | 17 | | 5 | 57 | | 6 | 96 | | 7 | 72 | | 8 | 15 | | 9 | 80 | | 10 | 122 | | 11 | 74 | | 12 | 26 | | 13 | 14 | | 14 | 19 | | 15 | 4 | | 16 | 11 | | 17 | 92 | | 18 | 79 | | 19 | 56 | | 20 | 4 | | 21 | 40 | | 22 | 92 | | 23 | 10 | | 24 | 55 | | 25 | 4 | | 26 | 47 | | 27 | 53 | | 28 | 61 | | 29 | 19 | | 30 | 4 | | 31 | 32 | | 32 | 38 | | 33 | 66 | | 34 | 87 | | 35 | 18 | | 36 | 62 | | 37 | 5 | | 38 | 52 | | 39 | 3 | | 40 | 49 |
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| 97.17% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 130 | | matches | | 0 | "being followed" | | 1 | "been locked" | | 2 | "been bricked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 266 | | matches | | 0 | "was going" | | 1 | "was not letting" |
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| 42.96% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 143 | | ratio | 0.035 | | matches | | 0 | "Camden High Street had emptied to the late trade—kebab shops throwing grease-yellow light onto the pavement, a bus sighing at a stop, the canal somewhere off to her left breathing up a mineral stink." | | 1 | "Her leather watch strap had darkened with rain; she didn't check the time." | | 2 | "Beyond it the passage breathed that green light and a warmer undercurrent—spice, alcohol, hot metal, something sweet that did not belong in a dead station." | | 3 | "He stood in three-quarter profile, medallion bright, the scar a pale line when he lifted his forearm to show something small and yellow-white to a figure Quinn could not quite resolve—a shape in a coat too long for the weather, a hand that took the token without seeming to touch his skin." | | 4 | "She stepped off the landing into the green, and the abandoned station took her the way deep water takes a stone—no splash, only the sudden knowledge of depth, and the market opening ahead in aisles of forbidden light, and Herrera moving fast now because the noticing had already begun." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1656 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 53 | | adverbRatio | 0.0320048309178744 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0036231884057971015 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 143 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 143 | | mean | 13.31 | | std | 11.12 | | cv | 0.836 | | sampleLengths | | 0 | 17 | | 1 | 34 | | 2 | 19 | | 3 | 11 | | 4 | 24 | | 5 | 18 | | 6 | 7 | | 7 | 4 | | 8 | 2 | | 9 | 4 | | 10 | 19 | | 11 | 5 | | 12 | 13 | | 13 | 13 | | 14 | 21 | | 15 | 6 | | 16 | 24 | | 17 | 22 | | 18 | 2 | | 19 | 3 | | 20 | 17 | | 21 | 3 | | 22 | 25 | | 23 | 2 | | 24 | 4 | | 25 | 23 | | 26 | 5 | | 27 | 26 | | 28 | 15 | | 29 | 35 | | 30 | 5 | | 31 | 10 | | 32 | 12 | | 33 | 9 | | 34 | 2 | | 35 | 18 | | 36 | 4 | | 37 | 9 | | 38 | 12 | | 39 | 6 | | 40 | 15 | | 41 | 5 | | 42 | 13 | | 43 | 6 | | 44 | 9 | | 45 | 3 | | 46 | 16 | | 47 | 28 | | 48 | 5 | | 49 | 20 |
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| 60.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3986013986013986 | | totalSentences | 143 | | uniqueOpeners | 57 | |
| 86.21% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 116 | | matches | | 0 | "Then the scrape of a" | | 1 | "Just the dark taking her" | | 2 | "Somewhere a bell chimed once," |
| | ratio | 0.026 | |
| 82.07% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 116 | | matches | | 0 | "She kept her eyes on" | | 1 | "He did not look back" | | 2 | "He didn't have to." | | 3 | "Her leather watch strap had" | | 4 | "He cut left into a" | | 5 | "She took the corner wide," | | 6 | "He went through." | | 7 | "she called, not loud enough" | | 8 | "She hit it with her" | | 9 | "Her palm found the rail," | | 10 | "He was a former paramedic." | | 11 | "She had read the file" | | 12 | "She had watched him leave" | | 13 | "He had not gone home." | | 14 | "He had come north, and" | | 15 | "She had walked plenty of" | | 16 | "Her breath came hard and" | | 17 | "It had a low green" | | 18 | "She thought of DS Morris." | | 19 | "She had not understood it" |
| | ratio | 0.345 | |
| 54.83% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 94 | | totalSentences | 116 | | matches | | 0 | "Rain needled the back of" | | 1 | "Camden High Street had emptied" | | 2 | "She kept her eyes on" | | 3 | "Tomás Herrera moved like someone" | | 4 | "The Saint Christopher at his" | | 5 | "He did not look back" | | 6 | "He didn't have to." | | 7 | "Quinn lengthened her stride." | | 8 | "Her leather watch strap had" | | 9 | "Time was the gap between" | | 10 | "He cut left into a" | | 11 | "A taxi blared somewhere behind" | | 12 | "She took the corner wide," | | 13 | "The scar on his left" | | 14 | "He went through." | | 15 | "she called, not loud enough" | | 16 | "The door banged." | | 17 | "She hit it with her" | | 18 | "Her palm found the rail," | | 19 | "He was a former paramedic." |
| | ratio | 0.81 | |
| 43.10% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 116 | | matches | | 0 | "If the intelligence was right," |
| | ratio | 0.009 | |
| 52.15% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 63 | | technicalSentenceCount | 8 | | matches | | 0 | "She had watched him leave the Raven's Nest an hour ago, green neon bleeding into the rain above the Soho door, maps and photographs watching from the walls as i…" | | 1 | "Herrera's footsteps rang ahead, then changed pitch, as if the floor had stopped being floor." | | 2 | "It had a low green in it, like the sign above Silas's bar, but older, and it pulsed as if something breathed on the far side of it." | | 3 | "Quinn had stood at the inquest with her hands flat on her thighs and listened to words that described a death without describing a cause." | | 4 | "She had heard the phrase twice in as many months, once from a frightened dealer on Berwick Street and once from a constable who had immediately pretended he had…" | | 5 | "Stay, and he dissolved into whatever the Met's databases refused to index: banned substances with names that curdled on a charge sheet, information sold by peop…" | | 6 | "He stood in three-quarter profile, medallion bright, the scar a pale line when he lifted his forearm to show something small and yellow-white to a figure Quinn …" | | 7 | "This was arithmetic again: a man who would vanish, a case that would die with him, a stairwell that had already taken one of hers and might be offering, in its …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.263 | | leniency | 0.526 | | rawRatio | 0 | | effectiveRatio | 0 | |