| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn had already [already]" | | 1 | "Quinn said quietly [quietly]" |
| | dialogueSentences | 44 | | tagDensity | 0.409 | | leniency | 0.818 | | rawRatio | 0.111 | | effectiveRatio | 0.091 | |
| 81.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1585 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
| | 2 | | | 3 | |
| | highlights | | 0 | "very" | | 1 | "deliberately" | | 2 | "completely" | | 3 | "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) | |
| 84.23% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1585 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "flicked" | | 1 | "etched" | | 2 | "intricate" | | 3 | "echoed" | | 4 | "silence" |
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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 | 95 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 95 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 67 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1601 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 1072 | | uniqueNames | 8 | | maxNameDensity | 2.05 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 22 | | Farrow | 11 | | Kowalski | 9 | | Marcus | 1 | | Devine | 2 | | Tucked | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Farrow" | | 3 | "Kowalski" | | 4 | "Marcus" | | 5 | "Devine" |
| | places | (empty) | | globalScore | 0.474 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like dried herbs, bundles wrapped" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.625 | | wordCount | 1601 | | matches | | 0 | "not at the wall behind her but down" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 121 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 30.21 | | std | 25.97 | | cv | 0.86 | | sampleLengths | | 0 | 106 | | 1 | 39 | | 2 | 33 | | 3 | 15 | | 4 | 6 | | 5 | 83 | | 6 | 77 | | 7 | 53 | | 8 | 24 | | 9 | 5 | | 10 | 59 | | 11 | 1 | | 12 | 22 | | 13 | 2 | | 14 | 4 | | 15 | 2 | | 16 | 53 | | 17 | 37 | | 18 | 74 | | 19 | 3 | | 20 | 16 | | 21 | 47 | | 22 | 5 | | 23 | 68 | | 24 | 2 | | 25 | 54 | | 26 | 37 | | 27 | 4 | | 28 | 46 | | 29 | 34 | | 30 | 18 | | 31 | 49 | | 32 | 17 | | 33 | 6 | | 34 | 45 | | 35 | 5 | | 36 | 30 | | 37 | 11 | | 38 | 37 | | 39 | 59 | | 40 | 31 | | 41 | 49 | | 42 | 6 | | 43 | 7 | | 44 | 62 | | 45 | 8 | | 46 | 19 | | 47 | 7 | | 48 | 78 | | 49 | 14 |
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| 90.49% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 95 | | matches | | 0 | "been stacked" | | 1 | "was unbuttoned" | | 2 | "was buttoned" | | 3 | "were polished" |
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| 40.32% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 167 | | matches | | 0 | "were looking" | | 1 | "was staring" | | 2 | "was already circling" | | 3 | "was cataloguing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 121 | | ratio | 0.066 | | matches | | 0 | "\"Morning, guv.\" The officer at the tape — a young constable whose name Quinn had already forgotten — lifted the cordon for her." | | 1 | "A row of wooden crates had been stacked against the far wall, their lids pried open and their contents — small glass vials, what looked like dried herbs, bundles wrapped in black cloth — laid out on a groundsheet for cataloguing." | | 2 | "A second set of lamps had been set up there, illuminating another figure — this one sitting upright, back against the tiled wall, legs stretched out in front of her as though she had simply sat down to rest." | | 3 | "Inside was a small brass disc, palm-sized, its face etched with markings Quinn did not recognise — intricate, hand-cut lines that looped and intersected like the trails of a hundred tiny rivers." | | 4 | "The needle inside sat at a slight angle, trembling faintly, pointing not at the wall behind her but down — towards the floor, towards the dark below the platform, towards whatever tunnels lay beneath the tunnels." | | 5 | "Her hand went to her hair, tucking a curl behind her left ear — a small, unconscious gesture, repeated." | | 6 | "There was no blood, but there was a mark on the back of his left hand — a small discolouration, the skin slightly raised, in the shape of a crescent." | | 7 | "Tucked into the inner pocket of Devine's coat, the corner of a paper — a receipt, a note, something." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1067 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.03467666354264293 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.011246485473289597 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 13.23 | | std | 11.58 | | cv | 0.875 | | sampleLengths | | 0 | 32 | | 1 | 20 | | 2 | 21 | | 3 | 33 | | 4 | 14 | | 5 | 25 | | 6 | 23 | | 7 | 10 | | 8 | 3 | | 9 | 10 | | 10 | 2 | | 11 | 6 | | 12 | 20 | | 13 | 41 | | 14 | 8 | | 15 | 5 | | 16 | 9 | | 17 | 20 | | 18 | 20 | | 19 | 3 | | 20 | 2 | | 21 | 19 | | 22 | 13 | | 23 | 5 | | 24 | 24 | | 25 | 24 | | 26 | 5 | | 27 | 19 | | 28 | 5 | | 29 | 24 | | 30 | 35 | | 31 | 1 | | 32 | 14 | | 33 | 8 | | 34 | 2 | | 35 | 4 | | 36 | 2 | | 37 | 14 | | 38 | 39 | | 39 | 2 | | 40 | 1 | | 41 | 9 | | 42 | 5 | | 43 | 9 | | 44 | 11 | | 45 | 31 | | 46 | 32 | | 47 | 11 | | 48 | 3 | | 49 | 16 |
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| 58.68% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.4214876033057851 | | totalSentences | 121 | | uniqueOpeners | 51 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 84 | | matches | | 0 | "Just a man, very dead," | | 1 | "Then at the body." | | 2 | "Then at the brass compass" | | 3 | "Then at the floor." | | 4 | "Then at the dark mouth" |
| | ratio | 0.06 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 84 | | matches | | 0 | "She flicked on her torch," | | 1 | "She pushed a hand through" | | 2 | "Her boots crunched on grit" | | 3 | "She'd seen black markets before." | | 4 | "He lay on his back" | | 5 | "He was mid-fifties, grey at" | | 6 | "He looked up as Quinn" | | 7 | "It sat somewhere between confusion" | | 8 | "He rose, knees popping" | | 9 | "She did not look frightened." | | 10 | "She looked tired, and certain," | | 11 | "Her boots echoed." | | 12 | "They always did." | | 13 | "Her hand went to her" | | 14 | "She kept her voice flat," | | 15 | "She looked at the crates" | | 16 | "She stood over Marcus Devine" | | 17 | "She had not noticed it" | | 18 | "His mouth thinned." | | 19 | "She did not reach for" |
| | ratio | 0.262 | |
| 49.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 84 | | matches | | 0 | "The service elevator shuddered to" | | 1 | "She flicked on her torch," | | 2 | "The enamel tiles read CHALK" | | 3 | "She pushed a hand through" | | 4 | "The officer at the tape" | | 5 | "Quinn ducked under." | | 6 | "Her boots crunched on grit" | | 7 | "The platform stretched ahead of" | | 8 | "A row of wooden crates" | | 9 | "Quinn's brown eyes moved across" | | 10 | "She'd seen black markets before." | | 11 | "He lay on his back" | | 12 | "He was mid-fifties, grey at" | | 13 | "DS Farrow crouched beside him." | | 14 | "He looked up as Quinn" | | 15 | "It sat somewhere between confusion" | | 16 | "He rose, knees popping" | | 17 | "Farrow gestured to the body" | | 18 | "Farrow rubbed the back of" | | 19 | "Farrow pointed further down the" |
| | ratio | 0.821 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 84 | | matches | (empty) | | ratio | 0 | |
| 16.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 6 | | matches | | 0 | "The service elevator shuddered to a stop at the bottom of the access shaft, and Detective Harlow Quinn stepped out into a tunnel that smelled of damp concrete a…" | | 1 | "Beyond it, a forensics team in white suits moved with the careful choreography of people who did not yet understand what they were looking at." | | 2 | "He was mid-fifties, grey at the temples, dressed in a dark coat that had cost more than Quinn's monthly salary." | | 3 | "A second set of lamps had been set up there, illuminating another figure — this one sitting upright, back against the tiled wall, legs stretched out in front of…" | | 4 | "Inside was a small brass disc, palm-sized, its face etched with markings Quinn did not recognise — intricate, hand-cut lines that looped and intersected like th…" | | 5 | "Farrow's team was cataloguing the contents of the crates, labelling each item, treating it all as evidence of a smuggling operation, a contraband ring, a case t…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 44 | | tagDensity | 0.114 | | leniency | 0.227 | | rawRatio | 0 | | effectiveRatio | 0 | |