| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 10 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.25 | | effectiveRatio | 0.2 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1044 | | 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) | |
| 37.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1044 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "pulse" | | 2 | "coded" | | 3 | "glint" | | 4 | "gloom" | | 5 | "tracing" | | 6 | "weight" | | 7 | "could feel" | | 8 | "echoing" | | 9 | "electric" | | 10 | "flickered" | | 11 | "silence" |
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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 | 92 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 92 | | filterMatches | | | hedgeMatches | | |
| 96.41% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0.01 | | matches | | 0 | "Z's victim, and how焼き had stopped." |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1044 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 968 | | uniqueNames | 17 | | maxNameDensity | 0.62 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Tomás" | | discoveredNames | | London | 2 | | Harlow | 6 | | Quinn | 4 | | Camden | 1 | | High | 1 | | Veil | 1 | | Market | 1 | | Tube | 1 | | Chief | 1 | | Inspector | 1 | | Morris | 2 | | Ms | 1 | | Herrera | 1 | | Christopher | 1 | | Tomás | 4 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Veil" | | 3 | "Inspector" | | 4 | "Morris" | | 5 | "Ms" | | 6 | "Herrera" | | 7 | "Christopher" | | 8 | "Tomás" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.874 | | wordCount | 1044 | | matches | | 0 | "not by nature but by artisan hands, worn smooth by rubbing" | | 1 | "Not at her, but at Tomás, dragging him back into the shadows of the iron gat" | | 2 | "not electric, but flickered from lanterns suspended on chains" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 98 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 49.71 | | std | 33.13 | | cv | 0.666 | | sampleLengths | | 0 | 126 | | 1 | 10 | | 2 | 96 | | 3 | 38 | | 4 | 101 | | 5 | 6 | | 6 | 34 | | 7 | 13 | | 8 | 73 | | 9 | 46 | | 10 | 64 | | 11 | 29 | | 12 | 46 | | 13 | 6 | | 14 | 18 | | 15 | 54 | | 16 | 92 | | 17 | 70 | | 18 | 20 | | 19 | 48 | | 20 | 54 |
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| 93.82% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 92 | | matches | | 0 | "being found" | | 1 | "been offered" | | 2 | "were lined" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 153 | | matches | (empty) | |
| 84.55% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 98 | | ratio | 0.02 | | matches | | 0 | "It wasn't a luxury piece; it was a tool, the mechanism ticking inside the case with a rhythmic heartbeat she knew better than her own." | | 1 | "The ground beneath her boots didn't shift; it stayed London." |
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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 | 16 | | adverbRatio | 0.016477857878475798 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004119464469618949 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 10.65 | | std | 7.32 | | cv | 0.687 | | sampleLengths | | 0 | 28 | | 1 | 26 | | 2 | 17 | | 3 | 25 | | 4 | 30 | | 5 | 10 | | 6 | 9 | | 7 | 9 | | 8 | 24 | | 9 | 3 | | 10 | 11 | | 11 | 18 | | 12 | 5 | | 13 | 17 | | 14 | 4 | | 15 | 17 | | 16 | 11 | | 17 | 6 | | 18 | 8 | | 19 | 4 | | 20 | 24 | | 21 | 10 | | 22 | 22 | | 23 | 18 | | 24 | 9 | | 25 | 6 | | 26 | 6 | | 27 | 18 | | 28 | 16 | | 29 | 7 | | 30 | 4 | | 31 | 2 | | 32 | 4 | | 33 | 5 | | 34 | 4 | | 35 | 21 | | 36 | 5 | | 37 | 21 | | 38 | 4 | | 39 | 7 | | 40 | 2 | | 41 | 6 | | 42 | 21 | | 43 | 16 | | 44 | 3 | | 45 | 9 | | 46 | 15 | | 47 | 20 | | 48 | 5 | | 49 | 13 |
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| 50.34% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.35714285714285715 | | totalSentences | 98 | | uniqueOpeners | 35 | |
| 38.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 87 | | matches | | 0 | "Dark, jagged lines running from" |
| | ratio | 0.011 | |
| 68.28% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 87 | | matches | | 0 | "Her left hand hung by" | | 1 | "It wasn't a luxury piece;" | | 2 | "She had lost too much" | | 3 | "His boots made no sound" | | 4 | "He ducked into a narrow" | | 5 | "She followed him into the" | | 6 | "He stood before a crumbling" | | 7 | "He turned to look at" | | 8 | "His eyes burned with exhausted" | | 9 | "She didn't need to." | | 10 | "She remembered the tourniquet, the" | | 11 | "She needed him to admit" | | 12 | "She kicked the wall." | | 13 | "He raised his left hand." | | 14 | "She had found it in" | | 15 | "She shifted her gaze to" | | 16 | "She had never expected to" | | 17 | "He wore a black jacket." | | 18 | "Her breath hitched inside her" | | 19 | "He looked at her, calm," |
| | ratio | 0.379 | |
| 57.70% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 87 | | matches | | 0 | "The rain in London did" | | 1 | "Detective Harlow Quinn tracked her" | | 2 | "Her left hand hung by" | | 3 | "It wasn't a luxury piece;" | | 4 | "She had lost too much" | | 5 | "The suspect moved too smoothly" | | 6 | "His boots made no sound" | | 7 | "He ducked into a narrow" | | 8 | "Harlow didn't hesitate." | | 9 | "She followed him into the" | | 10 | "The air here changed temperature." | | 11 | "The humidity rose, heavy and" | | 12 | "He stood before a crumbling" | | 13 | "He turned to look at" | | 14 | "His eyes burned with exhausted" | | 15 | "Quinn didn't ask him to" | | 16 | "She didn't need to." | | 17 | "The gun in her shoulder" | | 18 | "She remembered the tourniquet, the" | | 19 | "Z's victim, and how焼き had" |
| | ratio | 0.805 | |
| 57.47% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 87 | | matches | | 0 | "If she crossed that line," |
| | ratio | 0.011 | |
| 86.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 3 | | matches | | 0 | "Detective Harlow Quinn tracked her breath in white plumes against the grey, her knees hitting the wet asphalt in a pelvic-swing stride that screamed military pr…" | | 1 | "She followed him into the shadow of the stone archway that marked the perimeter of the Veil Market." | | 2 | "The light inside was not electric, but flickered from lanterns suspended on chains that hummed with current." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "Harlow said, her voice steady" |
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| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "the man shouted (shout)" |
| | dialogueSentences | 10 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.25 | | effectiveRatio | 0.2 | |