| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 38 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 84 | | tagDensity | 0.452 | | leniency | 0.905 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1299 | | totalAiIsmAdverbs | 2 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
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| | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 49.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1299 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "shattered" | | 1 | "gloom" | | 2 | "standard" | | 3 | "scanned" | | 4 | "etched" | | 5 | "magnetic" | | 6 | "weight" | | 7 | "vibrated" | | 8 | "warmth" | | 9 | "pulsed" | | 10 | "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 | 164 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 164 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 210 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1299 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 39 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 83 | | wordCount | 886 | | uniqueNames | 12 | | maxNameDensity | 4.63 | | worstName | "Quinn" | | maxWindowNameDensity | 11 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Town | 1 | | Harlow | 1 | | Quinn | 41 | | Underground | 1 | | Veil | 2 | | Market | 1 | | Miller | 31 | | British | 1 | | Museum | 1 | | Eva | 1 | | Kowalski | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Miller" | | 4 | "Museum" | | 5 | "Eva" | | 6 | "Kowalski" |
| | places | | 0 | "Camden" | | 1 | "Town" | | 2 | "Veil" | | 3 | "British" |
| | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.77 | | wordCount | 1299 | | matches | | 0 | "Not the warmth of sun, but the heat of something living" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 210 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 84 | | mean | 15.46 | | std | 12.99 | | cv | 0.84 | | sampleLengths | | 0 | 72 | | 1 | 41 | | 2 | 17 | | 3 | 62 | | 4 | 5 | | 5 | 14 | | 6 | 25 | | 7 | 29 | | 8 | 37 | | 9 | 3 | | 10 | 30 | | 11 | 11 | | 12 | 6 | | 13 | 4 | | 14 | 33 | | 15 | 26 | | 16 | 15 | | 17 | 25 | | 18 | 19 | | 19 | 43 | | 20 | 9 | | 21 | 15 | | 22 | 4 | | 23 | 13 | | 24 | 33 | | 25 | 9 | | 26 | 8 | | 27 | 6 | | 28 | 39 | | 29 | 6 | | 30 | 11 | | 31 | 5 | | 32 | 12 | | 33 | 46 | | 34 | 6 | | 35 | 2 | | 36 | 12 | | 37 | 12 | | 38 | 15 | | 39 | 9 | | 40 | 23 | | 41 | 7 | | 42 | 16 | | 43 | 13 | | 44 | 10 | | 45 | 7 | | 46 | 27 | | 47 | 10 | | 48 | 13 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 164 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 176 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 210 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 888 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.024774774774774775 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.006756756756756757 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 210 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 210 | | mean | 6.19 | | std | 3.7 | | cv | 0.597 | | sampleLengths | | 0 | 15 | | 1 | 21 | | 2 | 21 | | 3 | 7 | | 4 | 4 | | 5 | 2 | | 6 | 2 | | 7 | 12 | | 8 | 12 | | 9 | 17 | | 10 | 4 | | 11 | 7 | | 12 | 6 | | 13 | 4 | | 14 | 17 | | 15 | 9 | | 16 | 4 | | 17 | 2 | | 18 | 2 | | 19 | 3 | | 20 | 8 | | 21 | 6 | | 22 | 5 | | 23 | 1 | | 24 | 1 | | 25 | 5 | | 26 | 2 | | 27 | 12 | | 28 | 11 | | 29 | 7 | | 30 | 7 | | 31 | 9 | | 32 | 20 | | 33 | 3 | | 34 | 7 | | 35 | 8 | | 36 | 8 | | 37 | 5 | | 38 | 6 | | 39 | 3 | | 40 | 13 | | 41 | 17 | | 42 | 3 | | 43 | 8 | | 44 | 6 | | 45 | 2 | | 46 | 2 | | 47 | 4 | | 48 | 4 | | 49 | 2 |
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| 48.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.32857142857142857 | | totalSentences | 210 | | uniqueOpeners | 69 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 109 | | matches | (empty) | | ratio | 0 | |
| 69.54% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 109 | | matches | | 0 | "She clicked her flashlight on," | | 1 | "She knew the pattern." | | 2 | "He wore a high-visibility jacket" | | 3 | "He didn't look up from" | | 4 | "Her worn leather watch clicked" | | 5 | "She knelt, the damp seeping" | | 6 | "Her eyes scanned the wound" | | 7 | "She shone the light on" | | 8 | "She moved closer to the" | | 9 | "She reached out, her movements" | | 10 | "She pried the fingers open." | | 11 | "It ignored north." | | 12 | "It ignored magnetic pull." | | 13 | "It pointed directly at the" | | 14 | "She rubbed her thumb over" | | 15 | "It hummed against her skin." | | 16 | "She stood, keeping the compass" | | 17 | "His voice dropped an octave." | | 18 | "She had spent eighteen years" | | 19 | "She looked at the compass," |
| | ratio | 0.376 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 107 | | totalSentences | 109 | | matches | | 0 | "The air inside the abandoned" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "She clicked her flashlight on," | | 3 | "The Veil Market had moved" | | 4 | "She knew the pattern." | | 5 | "DS Miller stood near the" | | 6 | "He wore a high-visibility jacket" | | 7 | "A body lay sprawled on" | | 8 | "He didn't look up from" | | 9 | "Quinn walked past him." | | 10 | "Her worn leather watch clicked" | | 11 | "The light from her torch" | | 12 | "A young man, mid-twenties." | | 13 | "That stopped her." | | 14 | "She knelt, the damp seeping" | | 15 | "Her eyes scanned the wound" | | 16 | "She shone the light on" | | 17 | "The floor was dry around" | | 18 | "Miller sighed and tapped his" | | 19 | "Quinn ignored him." |
| | ratio | 0.982 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 109 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 1 | | matches | | 0 | "He wore a high-visibility jacket that looked too bright for the gloom." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 38 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 37 | | fancyCount | 2 | | fancyTags | | 0 | "Miller shouted (shout)" | | 1 | "a voice whispered (whisper)" |
| | dialogueSentences | 84 | | tagDensity | 0.44 | | leniency | 0.881 | | rawRatio | 0.054 | | effectiveRatio | 0.048 | |