| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 1 | | adverbTags | | 0 | "He glanced around [around]" |
| | dialogueSentences | 69 | | tagDensity | 0.014 | | leniency | 0.029 | | rawRatio | 1 | | effectiveRatio | 0.029 | |
| 97.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2412 | | 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) | |
| 83.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2412 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "fractured" | | 1 | "pristine" | | 2 | "chill" | | 3 | "pulse" | | 4 | "etched" | | 5 | "quivered" | | 6 | "traced" | | 7 | "weight" |
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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 | 191 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 191 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 259 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2412 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1764 | | uniqueNames | 4 | | maxNameDensity | 1.19 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Keane" | | discoveredNames | | Harlow | 1 | | Quinn | 21 | | Keane | 18 | | Northern | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Keane" |
| | places | (empty) | | globalScore | 0.905 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 119 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.415 | | wordCount | 2412 | | matches | | 0 | "Not much if the blade catches low and quick, but enough" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 259 | | matches | | 0 | "saw that much" | | 1 | "let that sit" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 154 | | mean | 15.66 | | std | 17.9 | | cv | 1.143 | | sampleLengths | | 0 | 79 | | 1 | 14 | | 2 | 14 | | 3 | 50 | | 4 | 9 | | 5 | 83 | | 6 | 41 | | 7 | 5 | | 8 | 4 | | 9 | 6 | | 10 | 31 | | 11 | 54 | | 12 | 7 | | 13 | 2 | | 14 | 2 | | 15 | 12 | | 16 | 27 | | 17 | 10 | | 18 | 49 | | 19 | 45 | | 20 | 5 | | 21 | 3 | | 22 | 54 | | 23 | 2 | | 24 | 51 | | 25 | 13 | | 26 | 1 | | 27 | 10 | | 28 | 7 | | 29 | 4 | | 30 | 16 | | 31 | 35 | | 32 | 41 | | 33 | 5 | | 34 | 78 | | 35 | 25 | | 36 | 4 | | 37 | 9 | | 38 | 5 | | 39 | 2 | | 40 | 1 | | 41 | 29 | | 42 | 11 | | 43 | 24 | | 44 | 5 | | 45 | 65 | | 46 | 5 | | 47 | 8 | | 48 | 5 | | 49 | 47 |
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| 88.73% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 9 | | totalSentences | 191 | | matches | | 0 | "been built" | | 1 | "been tagged" | | 2 | "been prised" | | 3 | "been opened" | | 4 | "been marked" | | 5 | "been swept" | | 6 | "been etched" | | 7 | "been found" | | 8 | "been burned" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 288 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 259 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1769 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.022611644997173545 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.002826455624646693 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 259 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 259 | | mean | 9.31 | | std | 7.52 | | cv | 0.807 | | sampleLengths | | 0 | 34 | | 1 | 7 | | 2 | 9 | | 3 | 4 | | 4 | 2 | | 5 | 2 | | 6 | 21 | | 7 | 14 | | 8 | 14 | | 9 | 22 | | 10 | 8 | | 11 | 20 | | 12 | 9 | | 13 | 44 | | 14 | 7 | | 15 | 6 | | 16 | 26 | | 17 | 22 | | 18 | 8 | | 19 | 11 | | 20 | 3 | | 21 | 2 | | 22 | 4 | | 23 | 6 | | 24 | 13 | | 25 | 18 | | 26 | 16 | | 27 | 38 | | 28 | 7 | | 29 | 2 | | 30 | 2 | | 31 | 12 | | 32 | 27 | | 33 | 10 | | 34 | 18 | | 35 | 3 | | 36 | 7 | | 37 | 12 | | 38 | 9 | | 39 | 9 | | 40 | 14 | | 41 | 7 | | 42 | 4 | | 43 | 2 | | 44 | 9 | | 45 | 5 | | 46 | 3 | | 47 | 20 | | 48 | 14 | | 49 | 9 |
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| 65.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.42857142857142855 | | totalSentences | 259 | | uniqueOpeners | 111 | |
| 78.90% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 169 | | matches | | 0 | "Then the dark settled back" | | 1 | "Further along she found another" | | 2 | "Too small and too many." | | 3 | "More like pressure from carrying" |
| | ratio | 0.024 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 169 | | matches | | 0 | "It did not look like" | | 1 | "He had broad shoulders, a" | | 2 | "He glanced around the platform" | | 3 | "He offered her a paper" | | 4 | "Her left wrist brushed the" | | 5 | "She looked up at the" | | 6 | "Its hands pointed at twelve" | | 7 | "His coat had quality to" | | 8 | "His throat had been opened" | | 9 | "His hands were empty, fingers" | | 10 | "She looked at the wound" | | 11 | "She rose and turned slowly." | | 12 | "She moved past him to" | | 13 | "Her gaze had caught on" | | 14 | "She crossed to it." | | 15 | "She ignored him and put" | | 16 | "She walked back to the" | | 17 | "He passed the bag across." | | 18 | "She walked three paces right." | | 19 | "She crouched again, lowering the" |
| | ratio | 0.178 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 119 | | totalSentences | 169 | | matches | | 0 | "Detective Harlow Quinn came down" | | 1 | "The air changed the deeper" | | 2 | "Camden’s night smell of rain" | | 3 | "Something sweeter underneath, cloying and" | | 4 | "A constable waited on the" | | 5 | "Quinn stepped over the fractured" | | 6 | "The police tape stretched from" | | 7 | "It did not look like" | | 8 | "Glass jars lay smashed on" | | 9 | "Wax had run in pale" | | 10 | "The old station roundels had" | | 11 | "Another swung from a nail," | | 12 | "Quinn stopped beneath it." | | 13 | "DS Keane stood near the" | | 14 | "He had broad shoulders, a" | | 15 | "He glanced around the platform" | | 16 | "He offered her a paper" | | 17 | "Keane snorted and watched her" | | 18 | "Quinn ducked under the tape" | | 19 | "Her left wrist brushed the" |
| | ratio | 0.704 | |
| 29.59% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 169 | | matches | | 0 | "Even from three paces away" |
| | ratio | 0.006 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 74 | | technicalSentenceCount | 4 | | matches | | 0 | "Something sweeter underneath, cloying and wrong, as if someone had split a sack of liquorice root and left it to rot." | | 1 | "Market stalls stood in crooked rows down the platform, the kind that folded flat, only these had been built from black wood and brass pipe, and several had coll…" | | 2 | "Under the nails sat a red grit that did not belong on the platform’s grey tiles." | | 3 | "The same powder sat in the crack, in the bruised cuff, in the seams of the nearby stall tops, as if the whole market had breathed it out." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |