| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "Chen said quietly [quietly]" |
| | dialogueSentences | 40 | | tagDensity | 0.275 | | leniency | 0.55 | | rawRatio | 0.091 | | effectiveRatio | 0.05 | |
| 96.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1342 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 40.00% | 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) | |
| 66.47% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1342 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "flicked" | | 1 | "weight" | | 2 | "etched" | | 3 | "measured" | | 4 | "methodical" | | 5 | "scanning" | | 6 | "pristine" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 86 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 86 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1331 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 896 | | uniqueNames | 8 | | maxNameDensity | 2.12 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 19 | | Devlin | 7 | | Greek | 1 | | Sarah | 1 | | Chen | 11 | | Flint | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Devlin" | | 3 | "Sarah" | | 4 | "Chen" | | 5 | "Flint" |
| | places | (empty) | | globalScore | 0.44 | | windowScore | 0.333 | |
| 59.09% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 2 | | matches | | 0 | "quite parse" | | 1 | "looked like the residue of something that" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.751 | | wordCount | 1331 | | matches | | 0 | "not the kind of tarnish that comes from neglect, but the kind" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 115 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 24.65 | | std | 17.29 | | cv | 0.702 | | sampleLengths | | 0 | 59 | | 1 | 60 | | 2 | 51 | | 3 | 5 | | 4 | 17 | | 5 | 42 | | 6 | 3 | | 7 | 16 | | 8 | 5 | | 9 | 19 | | 10 | 34 | | 11 | 1 | | 12 | 12 | | 13 | 7 | | 14 | 19 | | 15 | 54 | | 16 | 28 | | 17 | 11 | | 18 | 44 | | 19 | 26 | | 20 | 1 | | 21 | 25 | | 22 | 50 | | 23 | 9 | | 24 | 16 | | 25 | 5 | | 26 | 41 | | 27 | 45 | | 28 | 9 | | 29 | 20 | | 30 | 7 | | 31 | 18 | | 32 | 38 | | 33 | 13 | | 34 | 22 | | 35 | 14 | | 36 | 28 | | 37 | 11 | | 38 | 42 | | 39 | 3 | | 40 | 38 | | 41 | 49 | | 42 | 40 | | 43 | 6 | | 44 | 4 | | 45 | 47 | | 46 | 63 | | 47 | 22 | | 48 | 25 | | 49 | 13 |
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| 88.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 86 | | matches | | 0 | "being manufactured" | | 1 | "being handled" | | 2 | "was etched" | | 3 | "been placed" |
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| 76.54% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 162 | | matches | | 0 | "wasn't pointing" | | 1 | "was pointing" | | 2 | "was looking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 115 | | ratio | 0.061 | | matches | | 0 | "The air in the abandoned Tube station tasted of rust and damp concrete, with something else underneath—something sweet and wrong, like overripe fruit left to rot in a locked room." | | 1 | "She noted the absence of visible wounds—no blood, no bruising, no signs of a struggle." | | 2 | "The verdigris patina was old, deliberate—not the kind of tarnish that comes from neglect, but the kind that comes from being handled, treasured, kept close." | | 3 | "The face was etched with symbols she didn't recognise—not runes, not Greek, not anything she'd encountered in eighteen years of policing." | | 4 | "She knew that tone—the careful, measured neutrality of someone trying not to alarm her." | | 5 | "But around the head, there was a pattern—a faint discolouration, a stain that didn't match the rest." | | 6 | "Near the grate Chen had examined, she found what she was looking for—a thin line scratched into the concrete, barely visible under the grime." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 906 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.02869757174392936 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.006622516556291391 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 11.57 | | std | 8.31 | | cv | 0.718 | | sampleLengths | | 0 | 30 | | 1 | 29 | | 2 | 27 | | 3 | 16 | | 4 | 5 | | 5 | 4 | | 6 | 8 | | 7 | 17 | | 8 | 10 | | 9 | 11 | | 10 | 4 | | 11 | 2 | | 12 | 7 | | 13 | 5 | | 14 | 11 | | 15 | 6 | | 16 | 10 | | 17 | 15 | | 18 | 17 | | 19 | 3 | | 20 | 16 | | 21 | 5 | | 22 | 2 | | 23 | 17 | | 24 | 5 | | 25 | 5 | | 26 | 13 | | 27 | 11 | | 28 | 1 | | 29 | 12 | | 30 | 7 | | 31 | 5 | | 32 | 14 | | 33 | 11 | | 34 | 12 | | 35 | 25 | | 36 | 6 | | 37 | 5 | | 38 | 23 | | 39 | 5 | | 40 | 6 | | 41 | 7 | | 42 | 21 | | 43 | 16 | | 44 | 7 | | 45 | 1 | | 46 | 2 | | 47 | 2 | | 48 | 14 | | 49 | 1 |
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| 73.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.46956521739130436 | | totalSentences | 115 | | uniqueOpeners | 54 | |
| 46.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 72 | | matches | | 0 | "Then she looked at the" |
| | ratio | 0.014 | |
| 81.11% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 72 | | matches | | 0 | "His tie was still knotted." | | 1 | "His shoes were polished." | | 2 | "His face was a mask" | | 3 | "He was young, eager, and" | | 4 | "She'd stopped arguing by the" | | 5 | "She noted the absence of" | | 6 | "He held up an evidence" | | 7 | "She tilted it toward the" | | 8 | "It was pointing down the" | | 9 | "They were precise, deliberate, carved" | | 10 | "She thought about the victim's" | | 11 | "She knew that tone—the careful," | | 12 | "She was Quinn's opposite in" | | 13 | "They'd worked together for six" | | 14 | "She stopped at the far" | | 15 | "His suit was pristine except" | | 16 | "She leaned closer." | | 17 | "She went back to the" | | 18 | "She pulled a penlight from" | | 19 | "It looked like the residue" |
| | ratio | 0.347 | |
| 29.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 72 | | matches | | 0 | "The air in the abandoned" | | 1 | "Detective Harlow Quinn stepped off" | | 2 | "A body lay sprawled across" | | 3 | "The victim was male, mid-thirties," | | 4 | "His tie was still knotted." | | 5 | "His shoes were polished." | | 6 | "His face was a mask" | | 7 | "PC Devlin hovered near the" | | 8 | "He was young, eager, and" | | 9 | "Quinn had asked for a" | | 10 | "She'd stopped arguing by the" | | 11 | "Devlin said, consulting his notes" | | 12 | "Quinn crouched beside the body," | | 13 | "She noted the absence of" | | 14 | "The man's hands rested neatly" | | 15 | "Quinn studied the victim's face." | | 16 | "The surprise there bothered her." | | 17 | "Whatever had happened, he'd seen" | | 18 | "Devlin flicked through his notes." | | 19 | "He held up an evidence" |
| | ratio | 0.861 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 61.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 5 | | matches | | 0 | "A body lay sprawled across the old platform, half-hidden behind a collapsed advertising hoarding for a brand of cigarettes that had stopped being manufactured i…" | | 1 | "The victim was male, mid-thirties, dressed in a suit that cost more than Quinn's monthly rent." | | 2 | "PC Devlin hovered near the tape, clipboard in hand, looking like a man who'd swallowed something disagreeable." | | 3 | "The verdigris patina was old, deliberate—not the kind of tarnish that comes from neglect, but the kind that comes from being handled, treasured, kept close." | | 4 | "Chen stepped past the tape and walked the perimeter, her eyes scanning the platform with the practiced efficiency of someone who'd seen too many bodies to count…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |