| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "Her voice went nowhere [nowhere]" |
| | dialogueSentences | 30 | | tagDensity | 0.367 | | leniency | 0.733 | | rawRatio | 0.091 | | effectiveRatio | 0.067 | |
| 95.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1224 | | totalAiIsmAdverbs | 1 | | 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) | |
| 79.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1224 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "shattered" | | 1 | "weight" | | 2 | "electric" | | 3 | "footsteps" |
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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 | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 76 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1230 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 973 | | uniqueNames | 15 | | maxNameDensity | 0.82 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Inverness | 1 | | Street | 1 | | November | 1 | | Eighteen | 1 | | Saint | 1 | | Christopher | 1 | | Chalk | 1 | | Farm | 1 | | Road | 1 | | Deptford | 2 | | Morris | 5 | | Underground | 1 | | Quinn | 8 | | Spanish | 1 | | Herrera | 3 |
| | persons | | 0 | "Saint" | | 1 | "Christopher" | | 2 | "Morris" | | 3 | "Quinn" | | 4 | "Herrera" |
| | places | | 0 | "Inverness" | | 1 | "Street" | | 2 | "Chalk" | | 3 | "Farm" | | 4 | "Road" | | 5 | "Deptford" | | 6 | "Spanish" |
| | globalScore | 1 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1230 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 26.74 | | std | 21.8 | | cv | 0.815 | | sampleLengths | | 0 | 35 | | 1 | 11 | | 2 | 14 | | 3 | 37 | | 4 | 38 | | 5 | 7 | | 6 | 9 | | 7 | 70 | | 8 | 22 | | 9 | 28 | | 10 | 14 | | 11 | 46 | | 12 | 48 | | 13 | 8 | | 14 | 6 | | 15 | 17 | | 16 | 23 | | 17 | 69 | | 18 | 19 | | 19 | 32 | | 20 | 54 | | 21 | 5 | | 22 | 79 | | 23 | 10 | | 24 | 63 | | 25 | 11 | | 26 | 9 | | 27 | 14 | | 28 | 62 | | 29 | 4 | | 30 | 20 | | 31 | 1 | | 32 | 5 | | 33 | 53 | | 34 | 16 | | 35 | 5 | | 36 | 74 | | 37 | 19 | | 38 | 4 | | 39 | 31 | | 40 | 44 | | 41 | 15 | | 42 | 12 | | 43 | 11 | | 44 | 45 | | 45 | 11 |
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| 91.41% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 76 | | matches | | 0 | "been chased" | | 1 | "was gone" | | 2 | "was told" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 171 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 93 | | ratio | 0.065 | | matches | | 0 | "He stripped off his jacket mid-stride and dumped it, which told her everything — a man who dumps his jacket in November has been chased before and knows what a bright colour costs you." | | 1 | "Movement — a scrape of grit." | | 2 | "Herrera ran with his arms loose, no wasted motion — paramedic legs, she thought, a man who'd spent years carrying weight up stairwells." | | 3 | "He put his shoulder into a specific plywood panel and the panel swung inward like a door, because it was a door, and she was twenty metres back and running and she saw exactly how his hand went to the edge and guided it — a man doing something he'd done a hundred times." | | 4 | "Somebody had strung a cable along the wall and hung bulbs off it every few metres, and the bulbs weren't electric — they held something that moved, a slow drift of pale light like milk turning in water." | | 5 | "Behind the woman, past the curtain, sound spilled up — hundreds of voices layered wrong, like a crowd recorded in a swimming pool, and beneath the voices a low grinding hum that Quinn felt in her back teeth." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 971 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.026776519052523172 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004119464469618949 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 13.23 | | std | 11.83 | | cv | 0.894 | | sampleLengths | | 0 | 8 | | 1 | 27 | | 2 | 11 | | 3 | 9 | | 4 | 5 | | 5 | 3 | | 6 | 34 | | 7 | 6 | | 8 | 32 | | 9 | 7 | | 10 | 9 | | 11 | 8 | | 12 | 35 | | 13 | 3 | | 14 | 24 | | 15 | 2 | | 16 | 8 | | 17 | 12 | | 18 | 17 | | 19 | 11 | | 20 | 10 | | 21 | 4 | | 22 | 46 | | 23 | 6 | | 24 | 16 | | 25 | 11 | | 26 | 15 | | 27 | 8 | | 28 | 6 | | 29 | 17 | | 30 | 4 | | 31 | 19 | | 32 | 32 | | 33 | 23 | | 34 | 6 | | 35 | 8 | | 36 | 19 | | 37 | 15 | | 38 | 5 | | 39 | 7 | | 40 | 4 | | 41 | 1 | | 42 | 9 | | 43 | 26 | | 44 | 19 | | 45 | 3 | | 46 | 2 | | 47 | 21 | | 48 | 4 | | 49 | 54 |
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| 77.06% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4946236559139785 | | totalSentences | 93 | | uniqueOpeners | 46 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 71 | | matches | | 0 | "Somewhere above her a tarp" | | 1 | "Somewhere past the curtain, a" | | 2 | "Then she put her hand" |
| | ratio | 0.042 | |
| 73.52% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 71 | | matches | | 0 | "She got his name out" | | 1 | "He didn't stop." | | 2 | "He stripped off his jacket" | | 3 | "Her radio crackled against her" | | 4 | "She swore, tucked her chin," | | 5 | "She'd learned to run in" | | 6 | "He cut left through the" | | 7 | "She let her voice carry," | | 8 | "His answer came from the" | | 9 | "She got her torch up" | | 10 | "She took the wall." | | 11 | "It cost her a fingernail" | | 12 | "They came out on Chalk" | | 13 | "He crossed against a night" | | 14 | "Her radio spat a burst" | | 15 | "She looked down at it." | | 16 | "She thumbed it twice." | | 17 | "She'd seen a radio die" | | 18 | "Her jaw set." | | 19 | "He didn't climb it." |
| | ratio | 0.366 | |
| 72.68% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 71 | | matches | | 0 | "Rain came down like it" | | 1 | "Quinn felt it needle through" | | 2 | "She got his name out" | | 3 | "He didn't stop." | | 4 | "He stripped off his jacket" | | 5 | "Her radio crackled against her" | | 6 | "She swore, tucked her chin," | | 7 | "She'd learned to run in" | | 8 | "Herrera did geometry." | | 9 | "He cut left through the" | | 10 | "The alley stank of frying" | | 11 | "She let her voice carry," | | 12 | "His answer came from the" | | 13 | "Movement — a scrape of" | | 14 | "She got her torch up" | | 15 | "The scar on his left" | | 16 | "She took the wall." | | 17 | "It cost her a fingernail" | | 18 | "They came out on Chalk" | | 19 | "Herrera ran with his arms" |
| | ratio | 0.775 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 8.93% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 6 | | matches | | 0 | "Quinn felt it needle through her collar as she came off Inverness Street at a dead run, boots slapping puddles that shattered the neon into wet confetti." | | 1 | "He stripped off his jacket mid-stride and dumped it, which told her everything — a man who dumps his jacket in November has been chased before and knows what a …" | | 2 | "Herrera ran with his arms loose, no wasted motion — paramedic legs, she thought, a man who'd spent years carrying weight up stairwells." | | 3 | "Old tile, cream and oxblood, the pattern of an Underground station that hadn't seen a passenger in seventy years." | | 4 | "Somebody had strung a cable along the wall and hung bulbs off it every few metres, and the bulbs weren't electric — they held something that moved, a slow drift…" | | 5 | "She pushed her wet hair back off her forehead with her scraped palm, and she looked once at the stairs behind her, at the pale drifting bulbs, at the rain-noise…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 83.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "She swore (swear)" | | 1 | "Her radio spat (spit)" |
| | dialogueSentences | 30 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.333 | | effectiveRatio | 0.133 | |