| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 43 | | tagDensity | 0.372 | | leniency | 0.744 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1584 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 55.81% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1584 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "shattered" | | 1 | "porcelain" | | 2 | "gloom" | | 3 | "familiar" | | 4 | "silence" | | 5 | "trembled" | | 6 | "electric" | | 7 | "etched" | | 8 | "vibrated" | | 9 | "traced" | | 10 | "flicked" | | 11 | "resonance" | | 12 | "mechanical" | | 13 | "scanned" |
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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 | 112 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 112 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 138 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1584 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 15.38% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 64 | | wordCount | 1040 | | uniqueNames | 10 | | maxNameDensity | 2.69 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 28 | | Northern | 1 | | Tube | 1 | | Rook | 19 | | Kowalski | 1 | | Blood | 3 | | Eva | 8 | | London | 1 | | Veil | 1 | | Compass | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Rook" | | 2 | "Kowalski" | | 3 | "Blood" | | 4 | "Eva" | | 5 | "Compass" |
| | places | | | globalScore | 0.154 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 73.74% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.263 | | wordCount | 1584 | | matches | | 0 | "Not the sound of stone grinding, but the mechanical click of tumblers falling into place" | | 1 | "not aiming, but holding it ready" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 138 | | matches | (empty) | |
| 92.12% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 35.2 | | std | 16.63 | | cv | 0.472 | | sampleLengths | | 0 | 70 | | 1 | 33 | | 2 | 41 | | 3 | 49 | | 4 | 32 | | 5 | 30 | | 6 | 55 | | 7 | 4 | | 8 | 39 | | 9 | 19 | | 10 | 58 | | 11 | 57 | | 12 | 34 | | 13 | 9 | | 14 | 41 | | 15 | 51 | | 16 | 23 | | 17 | 15 | | 18 | 67 | | 19 | 34 | | 20 | 35 | | 21 | 9 | | 22 | 24 | | 23 | 49 | | 24 | 44 | | 25 | 20 | | 26 | 30 | | 27 | 32 | | 28 | 20 | | 29 | 34 | | 30 | 25 | | 31 | 37 | | 32 | 47 | | 33 | 36 | | 34 | 3 | | 35 | 46 | | 36 | 65 | | 37 | 20 | | 38 | 29 | | 39 | 60 | | 40 | 35 | | 41 | 35 | | 42 | 20 | | 43 | 54 | | 44 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 188 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 138 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1045 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 8 | | adverbRatio | 0.007655502392344498 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004784688995215311 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 138 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 138 | | mean | 11.48 | | std | 7.36 | | cv | 0.641 | | sampleLengths | | 0 | 11 | | 1 | 11 | | 2 | 17 | | 3 | 14 | | 4 | 17 | | 5 | 20 | | 6 | 13 | | 7 | 15 | | 8 | 26 | | 9 | 10 | | 10 | 9 | | 11 | 9 | | 12 | 5 | | 13 | 16 | | 14 | 28 | | 15 | 4 | | 16 | 12 | | 17 | 18 | | 18 | 8 | | 19 | 17 | | 20 | 7 | | 21 | 11 | | 22 | 12 | | 23 | 4 | | 24 | 11 | | 25 | 28 | | 26 | 4 | | 27 | 11 | | 28 | 4 | | 29 | 18 | | 30 | 10 | | 31 | 5 | | 32 | 25 | | 33 | 7 | | 34 | 13 | | 35 | 11 | | 36 | 10 | | 37 | 16 | | 38 | 10 | | 39 | 12 | | 40 | 7 | | 41 | 5 | | 42 | 6 | | 43 | 3 | | 44 | 17 | | 45 | 13 | | 46 | 11 | | 47 | 10 | | 48 | 41 | | 49 | 4 |
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| 55.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3695652173913043 | | totalSentences | 138 | | uniqueOpeners | 51 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 106 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 106 | | matches | | 0 | "She dropped onto the platform," | | 1 | "He wore his collar open," | | 2 | "Her jaw set, sharp angles" | | 3 | "She didn't look at Rook." | | 4 | "Her eyes tracked the geometry" | | 5 | "She extended a gloved hand," | | 6 | "She circled the body, stopping" | | 7 | "Her curly red hair clung" | | 8 | "She reached up, fingers tucking" | | 9 | "Her hand shook as she" | | 10 | "Her eyes remained on the" | | 11 | "She stopped three feet from" | | 12 | "It spun lazily, indifferent to" | | 13 | "She traced the air above" | | 14 | "She drew a folding knife" | | 15 | "She didn't flinch." | | 16 | "She watched the brick." | | 17 | "His radio squawked, demanding a" | | 18 | "Her shadow stretched into the" | | 19 | "They matched a conspiracy." |
| | ratio | 0.226 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 104 | | totalSentences | 106 | | matches | | 0 | "Boots crunched over shattered porcelain" | | 1 | "Water dripped from the rusted" | | 2 | "She dropped onto the platform," | | 3 | "The abandoned Northern Tube station" | | 4 | "Tiles along the walls bore" | | 5 | "Officer Rook stood behind the" | | 6 | "He wore his collar open," | | 7 | "Rook gestured with his chin" | | 8 | "Quinn adjusted the worn leather" | | 9 | "The leather creaked, a familiar" | | 10 | "Her jaw set, sharp angles" | | 11 | "She didn't look at Rook." | | 12 | "Her eyes tracked the geometry" | | 13 | "Quinn stepped forward, her posture" | | 14 | "Rook fell into step beside" | | 15 | "Quinn knelt at the edge" | | 16 | "The victim lay supine, eyes" | | 17 | "Blood coated his shirt, dark" | | 18 | "Quinn leaned in, her cropper" | | 19 | "She extended a gloved hand," |
| | ratio | 0.981 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 106 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 1 | | matches | | 0 | "She adjusted her grip on the weapon, eyes narrowing as the darkness beyond the arch seemed to shift, forming shapes that mimicked the silhouette of a man but st…" |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn stepped, her posture rigid, shoulders squared with military precision" | | 1 | "Rook barked, though his hand stayed on his radio" |
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| 80.23% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "Quinn pressed (press)" | | 1 | "Rook barked (bark)" | | 2 | "Rook whispered (whisper)" |
| | dialogueSentences | 43 | | tagDensity | 0.14 | | leniency | 0.279 | | rawRatio | 0.5 | | effectiveRatio | 0.14 | |