| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 2 | | adverbTags | | 0 | "the name slipped away [away]" | | 1 | "He stepped aside [aside]" |
| | dialogueSentences | 20 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.25 | | effectiveRatio | 0.2 | |
| 77.58% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 892 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "sharply" | | 1 | "suddenly" | | 2 | "completely" | | 3 | "sadly" |
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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) | |
| 38.34% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 892 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "pounding" | | 1 | "navigated" | | 2 | "familiar" | | 3 | "footsteps" | | 4 | "echoed" | | 5 | "flickered" | | 6 | "almost alive" | | 7 | "anticipation" | | 8 | "determined" |
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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 | 78 | | matches | (empty) | |
| 87.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 78 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 894 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 74.35% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 727 | | uniqueNames | 14 | | maxNameDensity | 1.51 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 11 | | Soho | 1 | | Camden | 1 | | Raven | 1 | | Nest | 1 | | Tube | 1 | | Which | 1 | | Morris | 5 | | Veil | 1 | | Market | 1 | | Saint | 1 | | Christopher | 1 | | Herrera | 4 | | London | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Morris" | | 3 | "Market" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Herrera" |
| | places | | 0 | "Soho" | | 1 | "Camden" | | 2 | "London" |
| | globalScore | 0.743 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed genuine but there was something else" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 894 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 97.98% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 27.09 | | std | 13.35 | | cv | 0.493 | | sampleLengths | | 0 | 32 | | 1 | 34 | | 2 | 39 | | 3 | 20 | | 4 | 2 | | 5 | 43 | | 6 | 48 | | 7 | 21 | | 8 | 2 | | 9 | 47 | | 10 | 37 | | 11 | 28 | | 12 | 9 | | 13 | 24 | | 14 | 17 | | 15 | 43 | | 16 | 30 | | 17 | 31 | | 18 | 32 | | 19 | 48 | | 20 | 6 | | 21 | 40 | | 22 | 23 | | 23 | 13 | | 24 | 19 | | 25 | 6 | | 26 | 45 | | 27 | 22 | | 28 | 19 | | 29 | 40 | | 30 | 23 | | 31 | 29 | | 32 | 22 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 78 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 131 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 90 | | ratio | 0.067 | | matches | | 0 | "Smart - the narrow passage would force her to lose ground." | | 1 | "The familiar bar triggered a memory - something about this route nagged at her." | | 2 | "She checked her watch - the hands had stopped moving." | | 3 | "The air grew thicker, heavier with strange scents - herbs, smoke, decay." | | 4 | "A man emerged from the shadows - olive skin, curly dark hair, Saint Christopher medallion catching the strange light." | | 5 | "No - anticipation." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 725 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.037241379310344824 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.011034482758620689 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 9.93 | | std | 5.3 | | cv | 0.533 | | sampleLengths | | 0 | 12 | | 1 | 20 | | 2 | 14 | | 3 | 20 | | 4 | 8 | | 5 | 11 | | 6 | 5 | | 7 | 15 | | 8 | 12 | | 9 | 8 | | 10 | 2 | | 11 | 7 | | 12 | 6 | | 13 | 14 | | 14 | 8 | | 15 | 8 | | 16 | 18 | | 17 | 14 | | 18 | 6 | | 19 | 10 | | 20 | 11 | | 21 | 10 | | 22 | 2 | | 23 | 10 | | 24 | 16 | | 25 | 21 | | 26 | 1 | | 27 | 10 | | 28 | 19 | | 29 | 7 | | 30 | 13 | | 31 | 4 | | 32 | 11 | | 33 | 5 | | 34 | 4 | | 35 | 6 | | 36 | 9 | | 37 | 7 | | 38 | 2 | | 39 | 7 | | 40 | 10 | | 41 | 4 | | 42 | 6 | | 43 | 8 | | 44 | 10 | | 45 | 15 | | 46 | 11 | | 47 | 19 | | 48 | 8 | | 49 | 12 |
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| 96.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.6 | | totalSentences | 90 | | uniqueOpeners | 54 | |
| 90.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 74 | | matches | | 0 | "Instead of surrendering, he sprinted" | | 1 | "Again, the name slipped away" |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 74 | | matches | | 0 | "She shouldered past a group" | | 1 | "Their complaints faded into the" | | 2 | "She emerged just as he" | | 3 | "He staggered back, rainwater spraying" | | 4 | "Her legs burned, but eighteen" | | 5 | "His breathing grew ragged, his" | | 6 | "He led her past the" | | 7 | "He vanished down the steps" | | 8 | "His radio had cut out" | | 9 | "She'd passed it countless times," | | 10 | "She checked her watch -" | | 11 | "She reached a landing and" | | 12 | "She'd assumed it was a" | | 13 | "She spun toward the voice." | | 14 | "He gestured to the archway" | | 15 | "He held out his hand" | | 16 | "Her fingers closed around the" | | 17 | "He stepped aside, gesturing toward" | | 18 | "Her radio crackled once more," |
| | ratio | 0.257 | |
| 68.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 74 | | matches | | 0 | "The suspect's trainers squeaked against" | | 1 | "Detective Quinn kept pace twenty" | | 2 | "She shouldered past a group" | | 3 | "Their complaints faded into the" | | 4 | "The man ahead cut sharply" | | 5 | "She emerged just as he" | | 6 | "He staggered back, rainwater spraying" | | 7 | "Quinn cursed and resumed the" | | 8 | "Her legs burned, but eighteen" | | 9 | "The suspect was young, quick," | | 10 | "His breathing grew ragged, his" | | 11 | "He led her past the" | | 12 | "The familiar bar triggered a" | | 13 | "A case from three years" | | 14 | "Morris had tracked a suspect" | | 15 | "The man ahead fumbled in" | | 16 | "He vanished down the steps" | | 17 | "Quinn slowed at the entrance," | | 18 | "The station had been closed" | | 19 | "This was where she'd lost" |
| | ratio | 0.784 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 74 | | matches | | 0 | "While he navigated past skips" | | 1 | "Even through the rain, Quinn" | | 2 | "Now, standing at the threshold" |
| | ratio | 0.041 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |