| 63.64% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 3 | | adverbTags | | 0 | "Quinn walked back [back]" | | 1 | "Eva said carefully [carefully]" | | 2 | "She paused then [then]" |
| | dialogueSentences | 44 | | tagDensity | 0.409 | | leniency | 0.818 | | rawRatio | 0.167 | | effectiveRatio | 0.136 | |
| 87.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1924 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "very" | | 1 | "quickly" | | 2 | "carefully" | | 3 | "slowly" |
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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) | |
| 87.01% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1924 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "velvet" | | 1 | "analyzed" | | 2 | "navigating" | | 3 | "etched" | | 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 | 110 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 110 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 136 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 66 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1954 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 1380 | | uniqueNames | 14 | | maxNameDensity | 1.81 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 25 | | Underground | 2 | | Avery | 5 | | London | 1 | | Perspex | 1 | | Dr | 1 | | Tube | 1 | | Sato | 3 | | Eva | 12 | | Fraser | 2 | | Latin | 1 | | Kowalski | 1 | | Morris | 1 | | Docklands | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Avery" | | 2 | "Dr" | | 3 | "Sato" | | 4 | "Eva" | | 5 | "Fraser" | | 6 | "Kowalski" | | 7 | "Morris" |
| | places | | 0 | "London" | | 1 | "Latin" | | 2 | "Docklands" |
| | globalScore | 0.594 | | windowScore | 0.333 | |
| 79.58% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 2 | | matches | | 0 | "had locked and apparently forgotten about, or" | | 1 | "It was as though everyone who'd walked this platform had given this particular spot a wide berth, or as though the man had materialized exactly where he lay" |
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| 97.65% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.024 | | wordCount | 1954 | | matches | | 0 | "not pain, exactly, but bewilderment" | | 1 | "not one of the modern ones, but a slim volume bound in cloth" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 136 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 36.87 | | std | 31.7 | | cv | 0.86 | | sampleLengths | | 0 | 85 | | 1 | 56 | | 2 | 5 | | 3 | 56 | | 4 | 154 | | 5 | 3 | | 6 | 75 | | 7 | 1 | | 8 | 39 | | 9 | 3 | | 10 | 25 | | 11 | 48 | | 12 | 42 | | 13 | 12 | | 14 | 106 | | 15 | 2 | | 16 | 75 | | 17 | 17 | | 18 | 36 | | 19 | 19 | | 20 | 55 | | 21 | 14 | | 22 | 55 | | 23 | 12 | | 24 | 48 | | 25 | 3 | | 26 | 62 | | 27 | 7 | | 28 | 34 | | 29 | 66 | | 30 | 14 | | 31 | 31 | | 32 | 9 | | 33 | 10 | | 34 | 52 | | 35 | 48 | | 36 | 10 | | 37 | 5 | | 38 | 6 | | 39 | 76 | | 40 | 52 | | 41 | 17 | | 42 | 50 | | 43 | 2 | | 44 | 64 | | 45 | 17 | | 46 | 7 | | 47 | 39 | | 48 | 43 | | 49 | 75 |
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| 89.31% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 110 | | matches | | 0 | "been scraped" | | 1 | "was gone" | | 2 | "was crouched" | | 3 | "was stuffed" | | 4 | "was heaped" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 234 | | matches | | 0 | "were already working" | | 1 | "was already tucking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 21 | | semicolonCount | 0 | | flaggedSentences | 15 | | totalSentences | 136 | | ratio | 0.11 | | matches | | 0 | "That was the first thing Quinn noticed — white ceramic rectangles edging toward cream with age, stamped with the old Underground roundel and a station name that had been scraped away decades ago." | | 1 | "Beneath that, something else — sweet and acrid at once, like burned rosemary." | | 2 | "Not stalls in the conventional sense — no Perspex sneeze guards, no handwritten price tags — but proper structures built from salvaged wood and draped in dark fabric." | | 3 | "The shelves themselves remained, along with hooks screwed into crossbeams, leather loops meant to display hanging merchandise, and — in one stall near the middle — a glass case that someone had locked and apparently forgotten about, or abandoned in haste." | | 4 | "He might have been sleeping except for the expression frozen on his face — not pain, exactly, but bewilderment." | | 5 | "Not biological — too uniform, too metallic." | | 6 | "The platform floor was dusty — decades of accumulated grime — and the forensic team had already flagged a confusion of footprints with yellow markers." | | 7 | "\"I do.\" Eva fumbled with her satchel — the thing was stuffed to bursting with books, their spines cracked and pages flagged with colored tape — and produced a laminated ID badge." | | 8 | "She was small — Quinn had six inches on her easily — and she moved with the particular caution of someone accustomed to navigating rooms full of irreplaceable objects." | | 9 | "There was a steadiness beneath the nervous habits that Quinn recognized — the stubbornness of the deeply academic, the refusal to be hurried past a point that mattered." | | 10 | "She stopped at the edge of the undisturbed dust — that strange, clean circle — and pushed her glasses up her nose." | | 11 | "She hadn't seen it before, but now that Eva had pointed it out, the pattern was there — the fine grey dust at the edge of the clean zone wasn't simply settled." | | 12 | "Eva pulled open her satchel and retrieved a book — not one of the modern ones, but a slim volume bound in cloth that had gone dark with handling." | | 13 | "Somewhere deep in the tunnel, water dripped — a sound that shouldn't have carried but did, the acoustics of the empty station bending the noise toward them like a whispered confidence." | | 14 | "Three years ago, almost to the week, she'd stood over another body that didn't make sense — DS Morris, her partner, lying in a Docklands warehouse with the same bewildered expression and no cause of death the pathologist could name." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1426 | | adjectiveStacks | 2 | | stackExamples | | 0 | "particular blue-green patina" | | 1 | "massive, instantaneous internal pressure" |
| | adverbCount | 44 | | adverbRatio | 0.030855539971949508 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.008415147265077139 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 136 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 136 | | mean | 14.37 | | std | 13.14 | | cv | 0.915 | | sampleLengths | | 0 | 7 | | 1 | 33 | | 2 | 18 | | 3 | 27 | | 4 | 21 | | 5 | 22 | | 6 | 13 | | 7 | 5 | | 8 | 7 | | 9 | 10 | | 10 | 9 | | 11 | 26 | | 12 | 4 | | 13 | 16 | | 14 | 8 | | 15 | 28 | | 16 | 13 | | 17 | 8 | | 18 | 41 | | 19 | 26 | | 20 | 14 | | 21 | 3 | | 22 | 14 | | 23 | 19 | | 24 | 10 | | 25 | 3 | | 26 | 2 | | 27 | 4 | | 28 | 23 | | 29 | 1 | | 30 | 7 | | 31 | 32 | | 32 | 3 | | 33 | 7 | | 34 | 18 | | 35 | 4 | | 36 | 25 | | 37 | 19 | | 38 | 10 | | 39 | 4 | | 40 | 10 | | 41 | 7 | | 42 | 3 | | 43 | 1 | | 44 | 7 | | 45 | 7 | | 46 | 5 | | 47 | 10 | | 48 | 25 | | 49 | 8 |
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| 65.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.41911764705882354 | | totalSentences | 136 | | uniqueOpeners | 57 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 99 | | matches | | 0 | "Instead the gravel between the" | | 1 | "Apparently he'd gone ahead anyway." | | 2 | "Somewhere deep in the tunnel," |
| | ratio | 0.03 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 99 | | matches | | 0 | "She'd expected standing water, the" | | 1 | "She filed that away." | | 2 | "She counted eleven of them" | | 3 | "She kept walking." | | 4 | "He might have been sleeping" | | 5 | "She crouched beside the body" | | 6 | "She leaned closer." | | 7 | "she told Sato" | | 8 | "She stood and surveyed the" | | 9 | "It was as though everyone" | | 10 | "She had her left hand" | | 11 | "She was small — Quinn" | | 12 | "Her eyes, green behind those" | | 13 | "It wasn't a question." | | 14 | "She tucked a curl behind" | | 15 | "She leaned close but kept" | | 16 | "She stopped at the edge" | | 17 | "She hadn't seen it before," | | 18 | "It was heaped, minutely, like" | | 19 | "She opened it to a" |
| | ratio | 0.273 | |
| 50.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 81 | | totalSentences | 99 | | matches | | 0 | "The platform still had its" | | 1 | "That was the first thing" | | 2 | "Someone had gone at the" | | 3 | "The fluorescent strips that her" | | 4 | "Quinn ducked under the cordon" | | 5 | "The air was heavy and" | | 6 | "Avery led her along the" | | 7 | "The old track bed below" | | 8 | "She'd expected standing water, the" | | 9 | "She filed that away." | | 10 | "The body was at the" | | 11 | "That was the second thing" | | 12 | "She counted eleven of them" | | 13 | "Whatever had been on their" | | 14 | "The shelves themselves remained, along" | | 15 | "She kept walking." | | 16 | "The victim lay face-up beside" | | 17 | "He might have been sleeping" | | 18 | "The forensic pathologist, Dr." | | 19 | "Sato, was crouched beside the" |
| | ratio | 0.818 | |
| 50.51% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 99 | | matches | | 0 | "Either the caller wanted the" |
| | ratio | 0.01 | |
| 34.16% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 7 | | matches | | 0 | "That was the first thing Quinn noticed — white ceramic rectangles edging toward cream with age, stamped with the old Underground roundel and a station name that…" | | 1 | "The air was heavy and mineral, the particular staleness of a place that hadn't drawn a natural breath in half a century." | | 2 | "It was as though everyone who'd walked this platform had given this particular spot a wide berth, or as though the man had materialized exactly where he lay." | | 3 | "There was a steadiness beneath the nervous habits that Quinn recognized — the stubbornness of the deeply academic, the refusal to be hurried past a point that m…" | | 4 | "Somewhere deep in the tunnel, water dripped — a sound that shouldn't have carried but did, the acoustics of the empty station bending the noise toward them like…" | | 5 | "The expression of a man who'd realized, in the last half-second of his life, that the thing he'd been looking for had found him first." | | 6 | "Three years ago, almost to the week, she'd stood over another body that didn't make sense — DS Morris, her partner, lying in a Docklands warehouse with the same…" |
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| 97.22% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva said, her voice dropping" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 44 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.091 | | effectiveRatio | 0.045 | |