| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn said slowly [slowly]" | | 1 | "She turned back [back]" |
| | dialogueSentences | 62 | | tagDensity | 0.403 | | leniency | 0.806 | | rawRatio | 0.08 | | effectiveRatio | 0.065 | |
| 89.57% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1438 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "lazily" | | 1 | "carefully" | | 2 | "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) | |
| 47.84% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1438 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "etched" | | 1 | "pristine" | | 2 | "processed" | | 3 | "tracing" | | 4 | "stomach" | | 5 | "pulse" | | 6 | "warmth" | | 7 | "shimmered" | | 8 | "apprehension" | | 9 | "determined" | | 10 | "racing" | | 11 | "silence" | | 12 | "could feel" | | 13 | "echoing" | | 14 | "calculating" |
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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 | 106 | | matches | (empty) | |
| 88.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 106 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 143 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1435 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 997 | | uniqueNames | 8 | | maxNameDensity | 2.01 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 4 | | Quinn | 20 | | Tube | 1 | | Clarke | 3 | | Old | 2 | | Morris | 1 | | Eva | 12 | | London | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Clarke" | | 3 | "Morris" | | 4 | "Eva" |
| | places | | | globalScore | 0.497 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | 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 | 1435 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 143 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 23.15 | | std | 15.1 | | cv | 0.653 | | sampleLengths | | 0 | 61 | | 1 | 50 | | 2 | 42 | | 3 | 34 | | 4 | 20 | | 5 | 4 | | 6 | 41 | | 7 | 6 | | 8 | 43 | | 9 | 39 | | 10 | 12 | | 11 | 36 | | 12 | 41 | | 13 | 12 | | 14 | 9 | | 15 | 27 | | 16 | 5 | | 17 | 5 | | 18 | 54 | | 19 | 15 | | 20 | 17 | | 21 | 3 | | 22 | 42 | | 23 | 11 | | 24 | 11 | | 25 | 1 | | 26 | 45 | | 27 | 26 | | 28 | 18 | | 29 | 5 | | 30 | 42 | | 31 | 26 | | 32 | 6 | | 33 | 34 | | 34 | 26 | | 35 | 2 | | 36 | 18 | | 37 | 5 | | 38 | 58 | | 39 | 11 | | 40 | 9 | | 41 | 11 | | 42 | 28 | | 43 | 20 | | 44 | 11 | | 45 | 25 | | 46 | 35 | | 47 | 14 | | 48 | 4 | | 49 | 30 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 106 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 180 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 143 | | ratio | 0.007 | | matches | | 0 | "The yellow tape, the chalk outlines waiting to be drawn, the body—all of it painted a sickly hue under the portable lights." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1001 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.03796203796203796 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.014985014985014986 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 143 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 143 | | mean | 10.03 | | std | 6.15 | | cv | 0.614 | | sampleLengths | | 0 | 21 | | 1 | 17 | | 2 | 11 | | 3 | 12 | | 4 | 17 | | 5 | 15 | | 6 | 10 | | 7 | 3 | | 8 | 5 | | 9 | 12 | | 10 | 16 | | 11 | 14 | | 12 | 4 | | 13 | 9 | | 14 | 5 | | 15 | 7 | | 16 | 1 | | 17 | 8 | | 18 | 5 | | 19 | 15 | | 20 | 4 | | 21 | 15 | | 22 | 12 | | 23 | 7 | | 24 | 7 | | 25 | 4 | | 26 | 2 | | 27 | 18 | | 28 | 1 | | 29 | 15 | | 30 | 9 | | 31 | 8 | | 32 | 22 | | 33 | 1 | | 34 | 8 | | 35 | 12 | | 36 | 15 | | 37 | 6 | | 38 | 4 | | 39 | 11 | | 40 | 4 | | 41 | 2 | | 42 | 14 | | 43 | 2 | | 44 | 3 | | 45 | 16 | | 46 | 6 | | 47 | 6 | | 48 | 4 | | 49 | 5 |
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| 62.94% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3986013986013986 | | totalSentences | 143 | | uniqueOpeners | 57 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 90 | | matches | | 0 | "Just smooth metal with a" | | 1 | "Somewhere on the other side" | | 2 | "Somewhere in London, someone had" |
| | ratio | 0.033 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 90 | | matches | | 0 | "Her knees protested against the" | | 1 | "His eyes stared at the" | | 2 | "He'd been first on scene," | | 3 | "She swept her torch across" | | 4 | "She moved closer, her boots" | | 5 | "She reached for one of" | | 6 | "She held it up to" | | 7 | "She turned it in her" | | 8 | "She stood, surveying the platform" | | 9 | "She approached the wall opposite" | | 10 | "She kept her voice level" | | 11 | "He frowned, joining her." | | 12 | "She turned back to the" | | 13 | "She'd been wrong then." | | 14 | "She might be wrong now." | | 15 | "She pulled out her phone," | | 16 | "She clutched her satchel strap" | | 17 | "she said, her voice carrying" | | 18 | "She looked up, frowning" | | 19 | "She led Eva to the" |
| | ratio | 0.3 | |
| 93.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 90 | | matches | | 0 | "Detective Harlow Quinn crouched beside" | | 1 | "The tiled walls bore decades" | | 2 | "Her knees protested against the" | | 3 | "The corpse lay sprawled near" | | 4 | "His eyes stared at the" | | 5 | "Sergeant Clarke offered from behind" | | 6 | "He'd been first on scene," | | 7 | "Quinn didn't turn around." | | 8 | "She swept her torch across" | | 9 | "Scuff marks on the tiles." | | 10 | "A leather satchel, overturned, its" | | 11 | "She moved closer, her boots" | | 12 | "She reached for one of" | | 13 | "A small brass compass, its" | | 14 | "The needle spun lazily, unable" | | 15 | "She held it up to" | | 16 | "Clarke stepped beside her." | | 17 | "She turned it in her" | | 18 | "She stood, surveying the platform" | | 19 | "The yellow tape, the chalk" |
| | ratio | 0.733 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 90 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 2 | | matches | | 0 | "Young man, late twenties, well-dressed in clothes that didn't belong in a place like this." | | 1 | "Steel, industrial, set into the wall at an angle that made no architectural sense." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 5 | | matches | | 0 | "The words left, as though she couldn't hold them back" | | 1 | "Eva's voice had, her academic knowledge overriding her fear" | | 2 | "She turned back, her mind racing" | | 3 | "Eva whispered, her face draining of color" | | 4 | "she called, her voice echoing off the tiled walls" |
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| 85.48% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 4 | | fancyTags | | 0 | "he breathed (breathe)" | | 1 | "Quinn agreed (agree)" | | 2 | "Quinn agreed (agree)" | | 3 | "Eva whispered (whisper)" |
| | dialogueSentences | 62 | | tagDensity | 0.177 | | leniency | 0.355 | | rawRatio | 0.364 | | effectiveRatio | 0.129 | |