| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.704 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1164 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 26.98% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1164 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "grave" | | 1 | "weight" | | 2 | "velvet" | | 3 | "standard" | | 4 | "blown wide" | | 5 | "pulse" | | 6 | "warmth" | | 7 | "perfect" | | 8 | "echoed" | | 9 | "silence" | | 10 | "scanned" | | 11 | "etched" | | 12 | "quivered" | | 13 | "wavering" | | 14 | "flickered" |
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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 | 82 | | matches | (empty) | |
| 55.75% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 5 | | hedgeCount | 0 | | narrationSentences | 82 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 85 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 89 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1164 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 71.18% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 1015 | | uniqueNames | 18 | | maxNameDensity | 1.58 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 16 | | Camden | 2 | | Veil | 2 | | Market | 2 | | Reeves | 12 | | Standard | 1 | | Harris | 1 | | Clean | 1 | | Stress | 1 | | Banksy | 1 | | Tourist | 1 | | Morris | 3 | | Whitechapel | 1 | | Met | 1 | | Commissioner | 1 | | Supernatural | 1 | | You | 6 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Reeves" | | 4 | "Harris" | | 5 | "Clean" | | 6 | "Banksy" | | 7 | "Morris" | | 8 | "Met" | | 9 | "Commissioner" | | 10 | "You" |
| | places | | | globalScore | 0.712 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.859 | | wordCount | 1164 | | matches | | 0 | "not north but down, at the man's chest, at the triangle of burns" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 43.11 | | std | 29.05 | | cv | 0.674 | | sampleLengths | | 0 | 91 | | 1 | 109 | | 2 | 1 | | 3 | 44 | | 4 | 34 | | 5 | 54 | | 6 | 25 | | 7 | 89 | | 8 | 3 | | 9 | 9 | | 10 | 32 | | 11 | 61 | | 12 | 42 | | 13 | 67 | | 14 | 4 | | 15 | 9 | | 16 | 38 | | 17 | 77 | | 18 | 36 | | 19 | 57 | | 20 | 26 | | 21 | 32 | | 22 | 62 | | 23 | 86 | | 24 | 30 | | 25 | 34 | | 26 | 12 |
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| 96.71% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 82 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 173 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 85 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 455 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.026373626373626374 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 85 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 85 | | mean | 13.69 | | std | 17.59 | | cv | 1.285 | | sampleLengths | | 0 | 10 | | 1 | 23 | | 2 | 6 | | 3 | 17 | | 4 | 9 | | 5 | 2 | | 6 | 24 | | 7 | 14 | | 8 | 14 | | 9 | 10 | | 10 | 14 | | 11 | 9 | | 12 | 48 | | 13 | 1 | | 14 | 44 | | 15 | 18 | | 16 | 3 | | 17 | 6 | | 18 | 7 | | 19 | 54 | | 20 | 11 | | 21 | 2 | | 22 | 2 | | 23 | 3 | | 24 | 4 | | 25 | 3 | | 26 | 89 | | 27 | 3 | | 28 | 9 | | 29 | 13 | | 30 | 5 | | 31 | 4 | | 32 | 7 | | 33 | 3 | | 34 | 26 | | 35 | 5 | | 36 | 6 | | 37 | 1 | | 38 | 4 | | 39 | 3 | | 40 | 16 | | 41 | 20 | | 42 | 1 | | 43 | 1 | | 44 | 6 | | 45 | 14 | | 46 | 67 | | 47 | 4 | | 48 | 9 | | 49 | 23 |
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| 87.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.5764705882352941 | | totalSentences | 85 | | uniqueOpeners | 49 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 66 | | matches | | 0 | "She checked the leather watch" | | 1 | "She turned. DC Reeves emerged" | | 2 | "You're not on this case," | | 3 | "He knew the killer." | | 4 | "I checked ten minutes ago." | | 5 | "You know how these punters" | | 6 | "You want to dust for" | | 7 | "You picking up litter now," | | 8 | "You look like hell." | | 9 | "You're unhinged over Morris, aren't" | | 10 | "It's an anchor." | | 11 | "They're sigil burns." |
| | ratio | 0.182 | |
| 66.06% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 66 | | matches | | 0 | "Detective Harlow Quinn descended the" | | 1 | "The bone token in her" | | 2 | "She checked the leather watch" | | 3 | "The hands had not moved" | | 4 | "The Veil Market sprawled across" | | 5 | "Stalls lined the walls, draped" | | 6 | "Bottles glowed with trapped starlight," | | 7 | "Incense smoke curled from ceramic" | | 8 | "Quinn moved with military precision," | | 9 | "She turned. DC Reeves emerged" | | 10 | "Reeves tossed the knife into" | | 11 | "You're not on this case," | | 12 | "Quinn approached the body. A" | | 13 | "Reeves pointed with his chin" | | 14 | "He knew the killer." | | 15 | "Quinn crouched. Her sharp jaw" | | 16 | "Quinn crouched lower, her eyes" | | 17 | "Reeves laughed, a short bark" | | 18 | "I checked ten minutes ago." | | 19 | "Rigor should be setting in" |
| | ratio | 0.788 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 17 | | technicalSentenceCount | 5 | | matches | | 0 | "Bottles glowed with trapped starlight, casting blue shadows that danced across the tiled floor." | | 1 | "Quinn approached the body. A chalk outline on the ground held a man, mid-thirties, dark skin, dressed in a Harris tweed jacket that cost more than Reeves earned…" | | 2 | "Quinn stood. Her boots clicked on the tile, sharp and loud in the silence. She scanned the walls. Fresh graffiti covered the white ceramic tiles, symbols twiste…" | | 3 | "Quinn held the compass level. The needle quivered, hunting, searching, vibrating against her palm. She remembered the files. DS Morris, three years ago to the d…" | | 4 | "Quinn checked her watch again. Still 3:15. The leather strap felt tight. She glanced at Reeves's phone, lying on a crate nearby. The screen glowed with the time…" |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn moved, her boots silent on the wet concrete, her 5'9" | | 1 | "Reeves stepped, his shadow falling across the body" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "Reeves laughed (laugh)" |
| | dialogueSentences | 27 | | tagDensity | 0.037 | | leniency | 0.074 | | rawRatio | 1 | | effectiveRatio | 0.074 | |