| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 2 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" | | 1 | "She nodded back [back]" |
| | dialogueSentences | 18 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.5 | | effectiveRatio | 0.222 | |
| 90.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1512 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "softly" | | 1 | "quickly" | | 2 | "slowly" |
| |
| 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) | |
| 57.01% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1512 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "silence" | | 1 | "jaw clenched" | | 2 | "pulsed" | | 3 | "familiar" | | 4 | "weight" | | 5 | "vibrated" | | 6 | "constructed" | | 7 | "surreal" | | 8 | "electric" | | 9 | "stark" | | 10 | "determined" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
| | 1 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "jaw clenched" | | 1 | "The air was thick with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 114 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 114 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 126 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1500 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 99.61% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 1290 | | uniqueNames | 17 | | maxNameDensity | 1.01 | | worstName | "Herrera" | | maxWindowNameDensity | 2 | | worstWindowName | "Herrera" | | discoveredNames | | Harlow | 1 | | Quinn | 7 | | Saint | 2 | | Christopher | 2 | | Raven | 1 | | Nest | 1 | | Tomás | 2 | | Herrera | 13 | | Camden | 2 | | Morris | 5 | | London | 1 | | Tube | 1 | | Town | 1 | | English | 1 | | Veil | 1 | | Market | 1 | | Spanish | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Raven" | | 5 | "Tomás" | | 6 | "Herrera" | | 7 | "Morris" | | 8 | "English" | | 9 | "Market" |
| | places | | 0 | "Camden" | | 1 | "London" | | 2 | "Town" |
| | globalScore | 0.996 | | windowScore | 1 | |
| 62.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | glossingSentenceCount | 3 | | matches | | 0 | "not quite English, woven through with sibilants and gutturals she couldn't place" | | 1 | "looked like flesh, and preserved creature" | | 2 | "felt like a lead weight on her wrist, c" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.667 | | wordCount | 1500 | | matches | | 0 | "Not as he was in life, smiling and holding a terrible coffee, but as he was in the morgue, his expression frozen in a rictus o" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 126 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 34.09 | | std | 20.81 | | cv | 0.61 | | sampleLengths | | 0 | 59 | | 1 | 15 | | 2 | 62 | | 3 | 72 | | 4 | 40 | | 5 | 39 | | 6 | 53 | | 7 | 3 | | 8 | 57 | | 9 | 14 | | 10 | 4 | | 11 | 52 | | 12 | 58 | | 13 | 3 | | 14 | 22 | | 15 | 57 | | 16 | 58 | | 17 | 21 | | 18 | 48 | | 19 | 56 | | 20 | 11 | | 21 | 44 | | 22 | 26 | | 23 | 43 | | 24 | 56 | | 25 | 36 | | 26 | 3 | | 27 | 53 | | 28 | 40 | | 29 | 1 | | 30 | 36 | | 31 | 11 | | 32 | 40 | | 33 | 31 | | 34 | 7 | | 35 | 11 | | 36 | 40 | | 37 | 37 | | 38 | 3 | | 39 | 70 | | 40 | 32 | | 41 | 41 | | 42 | 28 | | 43 | 7 |
| |
| 92.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 114 | | matches | | 0 | "was swallowed" | | 1 | "was plastered" | | 2 | ", turned" | | 3 | "being watched" |
| |
| 79.34% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 221 | | matches | | 0 | "was leading" | | 1 | "was sprinting" | | 2 | "was gaining" | | 3 | "was muttering" |
| |
| 74.83% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 126 | | ratio | 0.024 | | matches | | 0 | "But Herrera was a thread—a thread she was certain connected to the unexplained, to the hollow silence that had followed DS Morris into the dark three years ago." | | 1 | "A faint, greenish luminescence pulsed from within, and the air carried a scent that didn’t belong—ozone, old parchment, and something metallic, like blood." | | 2 | "He pressed something into the tall man’s hand—a small, wrapped bundle—and received a smooth, white object in return." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1302 | | adjectiveStacks | 1 | | stackExamples | | 0 | "strange, spicy-metallic scent," |
| | adverbCount | 30 | | adverbRatio | 0.02304147465437788 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.0069124423963133645 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 126 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 126 | | mean | 11.9 | | std | 7.69 | | cv | 0.646 | | sampleLengths | | 0 | 18 | | 1 | 19 | | 2 | 22 | | 3 | 15 | | 4 | 24 | | 5 | 16 | | 6 | 22 | | 7 | 15 | | 8 | 15 | | 9 | 28 | | 10 | 4 | | 11 | 10 | | 12 | 9 | | 13 | 9 | | 14 | 8 | | 15 | 11 | | 16 | 3 | | 17 | 13 | | 18 | 11 | | 19 | 3 | | 20 | 12 | | 21 | 12 | | 22 | 18 | | 23 | 23 | | 24 | 3 | | 25 | 13 | | 26 | 8 | | 27 | 26 | | 28 | 6 | | 29 | 4 | | 30 | 14 | | 31 | 4 | | 32 | 5 | | 33 | 11 | | 34 | 9 | | 35 | 4 | | 36 | 14 | | 37 | 6 | | 38 | 3 | | 39 | 21 | | 40 | 13 | | 41 | 24 | | 42 | 3 | | 43 | 3 | | 44 | 8 | | 45 | 4 | | 46 | 3 | | 47 | 4 | | 48 | 24 | | 49 | 2 |
| |
| 44.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.31746031746031744 | | totalSentences | 126 | | uniqueOpeners | 40 | |
| 30.03% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 111 | | matches | | | ratio | 0.009 | |
| 61.44% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 111 | | matches | | 0 | "Her voice was swallowed by" | | 1 | "She’d been watching The Raven’s" | | 2 | "He’d made her the moment" | | 3 | "Her worn leather watch was" | | 4 | "He vaulted over a low" | | 5 | "She was gaining." | | 6 | "He took the stairs two" | | 7 | "Her hand went to her" | | 8 | "It hadn’t saved him." | | 9 | "She took the stairs." | | 10 | "It swung inward at her" | | 11 | "It was alive." | | 12 | "She’d heard whispers." | | 13 | "He had to be." | | 14 | "She saw him then." | | 15 | "He pressed something into the" | | 16 | "He hadn’t seen her yet." | | 17 | "It meant being watched by" | | 18 | "It meant leaving the known" | | 19 | "He’d treated them." |
| | ratio | 0.396 | |
| 23.06% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 111 | | matches | | 0 | "The rain fell in relentless" | | 1 | "Detective Harlow Quinn pushed through" | | 2 | "Her voice was swallowed by" | | 3 | "She’d been watching The Raven’s" | | 4 | "He’d made her the moment" | | 5 | "Her worn leather watch was" | | 6 | "The man knew things." | | 7 | "Things about the shadowy network" | | 8 | "He vaulted over a low" | | 9 | "Quinn followed, her landing jarring" | | 10 | "Military precision kept her upright," | | 11 | "The salt-and-pepper stubble of her" | | 12 | "She was gaining." | | 13 | "The street dead-ended at a" | | 14 | "Herrera didn’t hesitate." | | 15 | "He took the stairs two" | | 16 | "Quinn skidded to a halt" | | 17 | "The stairs led down to" | | 18 | "A faint, greenish luminescence pulsed" | | 19 | "This was wrong." |
| | ratio | 0.874 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 111 | | matches | | 0 | "Now, he was leading her" | | 1 | "To the left, a set" | | 2 | "To follow him meant moving" | | 3 | "If she turned back now," |
| | ratio | 0.036 | |
| 64.94% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 6 | | matches | | 0 | "But Herrera was a thread—a thread she was certain connected to the unexplained, to the hollow silence that had followed DS Morris into the dark three years ago." | | 1 | "A faint, greenish luminescence pulsed from within, and the air carried a scent that didn’t belong—ozone, old parchment, and something metallic, like blood." | | 2 | "But backup meant explanations, meant forms in triplicate, meant superiors who would dismiss the pulsing light as faulty wiring and the scent as a backed-up drai…" | | 3 | "Quinn stepped onto the platform, the military bearing in her spine pulling her upright, making her an immediate anomaly among the hunched, cloaked figures." | | 4 | "To follow him meant moving deeper into this cavernous space, past stalls selling jagged crystals that hummed, books bound in what looked like flesh, and preserv…" | | 5 | "Quinn’s hand, which had been resting on her gun, fell to her side." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "She took, her own posture rigid, a counterpoint to his defeated slouch" |
| |
| 94.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 18 | | tagDensity | 0.056 | | leniency | 0.111 | | rawRatio | 1 | | effectiveRatio | 0.111 | |