| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 1 | | adverbTags | | 0 | "Davies stumbled backward [backward]" |
| | dialogueSentences | 44 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.045 | | effectiveRatio | 0.045 | |
| 84.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1284 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "perfectly" | | 1 | "slowly" | | 2 | "very" |
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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) | |
| 49.38% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1284 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "flickered" | | 1 | "echo" | | 2 | "crystal" | | 3 | "scanned" | | 4 | "pristine" | | 5 | "etched" | | 6 | "intricate" | | 7 | "tracing" | | 8 | "whisper" | | 9 | "echoed" | | 10 | "shimmered" | | 11 | "velvet" | | 12 | "gleaming" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
| | 1 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "clenched left fist" | | 1 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 55 | | matches | (empty) | |
| 64.94% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 55 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 70 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 82 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1282 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 38.63% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 853 | | uniqueNames | 9 | | maxNameDensity | 2.23 | | worstName | "Harlow" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Harlow" | | discoveredNames | | Tube | 1 | | Camden | 1 | | Harlow | 19 | | Quinn | 2 | | Davies | 7 | | London | 2 | | Let | 1 | | Oxford-accented | 1 | | Kowalski | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Davies" | | 3 | "Kowalski" |
| | places | | 0 | "London" | | 1 | "Oxford-accented" |
| | globalScore | 0.386 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | 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 | 1282 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 29.14 | | std | 18.56 | | cv | 0.637 | | sampleLengths | | 0 | 13 | | 1 | 34 | | 2 | 43 | | 3 | 39 | | 4 | 37 | | 5 | 6 | | 6 | 57 | | 7 | 18 | | 8 | 54 | | 9 | 16 | | 10 | 58 | | 11 | 4 | | 12 | 57 | | 13 | 17 | | 14 | 43 | | 15 | 2 | | 16 | 8 | | 17 | 81 | | 18 | 18 | | 19 | 25 | | 20 | 37 | | 21 | 41 | | 22 | 21 | | 23 | 45 | | 24 | 15 | | 25 | 27 | | 26 | 34 | | 27 | 3 | | 28 | 3 | | 29 | 45 | | 30 | 12 | | 31 | 25 | | 32 | 42 | | 33 | 15 | | 34 | 64 | | 35 | 14 | | 36 | 29 | | 37 | 27 | | 38 | 28 | | 39 | 21 | | 40 | 6 | | 41 | 51 | | 42 | 18 | | 43 | 29 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 55 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 145 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 70 | | ratio | 0.014 | | matches | | 0 | "She emerged into a cavernous, subterranean bazaar. Hundreds of paper lanterns hung from iron girders, bathing the massive, vaulted chamber in a warm, crimson glow. Crowds of people—and things that wore the skins of people—shuffled between makeshift wooden stalls. The air was thick with the spices of a dozen centuries. A merchant with pale, milk-white eyes offered her a tray of gleaming glass vials." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 407 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 6 | | adverbRatio | 0.014742014742014743 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.004914004914004914 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 70 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 70 | | mean | 18.31 | | std | 15.57 | | cv | 0.85 | | sampleLengths | | 0 | 13 | | 1 | 15 | | 2 | 19 | | 3 | 22 | | 4 | 13 | | 5 | 4 | | 6 | 4 | | 7 | 14 | | 8 | 25 | | 9 | 14 | | 10 | 9 | | 11 | 14 | | 12 | 6 | | 13 | 27 | | 14 | 10 | | 15 | 20 | | 16 | 12 | | 17 | 6 | | 18 | 19 | | 19 | 18 | | 20 | 17 | | 21 | 16 | | 22 | 53 | | 23 | 5 | | 24 | 4 | | 25 | 44 | | 26 | 13 | | 27 | 16 | | 28 | 1 | | 29 | 19 | | 30 | 8 | | 31 | 6 | | 32 | 5 | | 33 | 5 | | 34 | 2 | | 35 | 8 | | 36 | 81 | | 37 | 18 | | 38 | 17 | | 39 | 8 | | 40 | 28 | | 41 | 4 | | 42 | 5 | | 43 | 2 | | 44 | 39 | | 45 | 21 | | 46 | 45 | | 47 | 15 | | 48 | 20 | | 49 | 5 |
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| 97.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.6428571428571429 | | totalSentences | 70 | | uniqueOpeners | 45 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 52 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 52 | | matches | | 0 | "She tapped the crystal of" | | 1 | "She knelt beside the corpse," | | 2 | "It's a dead nothing but" | | 3 | "She stepped up to the" | | 4 | "It wasn't cold. It felt" | | 5 | "She emerged into a cavernous," | | 6 | "She squeezed through the gap," |
| | ratio | 0.135 | |
| 75.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 52 | | matches | | 0 | "The torchlight flickered across the" | | 1 | "Detective Harlow Quinn said, her" | | 2 | "She tapped the crystal of" | | 3 | "Davies gestured to the heap" | | 4 | "Harlow stepped closer, her boots" | | 5 | "She knelt beside the corpse," | | 6 | "Harlow pulled a silver pen" | | 7 | "A faint, perfectly circular bruise" | | 8 | "Davies sighed, his breath blooming" | | 9 | "Harlow reached into the dead" | | 10 | "A small, flat piece of" | | 11 | "Harlow stood up, her died" | | 12 | "Harlow walked past the body," | | 13 | "Davies asked, shuffling behind her" | | 14 | "Harlow swung her torch downward" | | 15 | "Yours, mine, and the transit" | | 16 | "The victim's feet are clean." | | 17 | "The brass casing of a" | | 18 | "Harlow murmured, her thumb tracing" | | 19 | "Davies said, though he hesitated," |
| | ratio | 0.769 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 52 | | matches | | 0 | "To stop him from" | | 1 | "If I'm not back in" | | 2 | "Before Davies could answer, a" |
| | ratio | 0.058 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 4 | | matches | | 0 | "Dark water dripped from the vaulted ceiling, splashing into stagnant puddles that smelled of iron, diesel, and wet soot." | | 1 | "Harlow pressed the compass directly against the warm brick. A sharp, metallic click echoed through the dark tunnel, like a key turning in an iron lock. The mort…" | | 2 | "She emerged into a cavernous, subterranean bazaar. Hundreds of paper lanterns hung from iron girders, bathing the massive, vaulted chamber in a warm, crimson gl…" | | 3 | "Harlow ignored him, her fingers tightening around the brass compass. The needle had stabilized, pointing directly toward a narrow alleyway formed by two towerin…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 6 | | matches | | 0 | "Detective Harlow Quinn said, her voice cutting through the hollow echo of the tunnel" | | 1 | "Harlow stepped, her boots crunching on the soot-stained gravel" | | 2 | "Harlow murmured, her thumb tracing the warm metal" | | 3 | "Harlow said, her voice dropping to a harsh whisper" | | 4 | "Davies stumbled backward, his torch beam shaking" | | 5 | "Harlow said, her hand resting on the utility belt at her waist" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 2 | | fancyTags | | 0 | "Harlow murmured (murmur)" | | 1 | "the merchant whispered (whisper)" |
| | dialogueSentences | 44 | | tagDensity | 0.227 | | leniency | 0.455 | | rawRatio | 0.2 | | effectiveRatio | 0.091 | |