| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1116 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 41.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1116 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "depths" | | 1 | "echoed" | | 2 | "stark" | | 3 | "amidst" | | 4 | "weight" | | 5 | "silk" | | 6 | "oppressive" | | 7 | "silence" | | 8 | "cacophony" | | 9 | "wavering" | | 10 | "pulsed" | | 11 | "maw" | | 12 | "chill" |
| |
| 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 | 96 | | matches | (empty) | |
| 98.21% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 96 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1111 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 67.79% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1034 | | uniqueNames | 14 | | maxNameDensity | 1.64 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 17 | | London | 1 | | Underground | 1 | | Veil | 1 | | Market | 1 | | Metropolitan | 1 | | Police | 1 | | Saint | 1 | | Christopher | 1 | | Herrera | 1 | | Morris | 2 | | Tomás | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Herrera" | | 6 | "Morris" | | 7 | "Tomás" |
| | places | | | globalScore | 0.678 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | 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 | 1111 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 27.78 | | std | 19.31 | | cv | 0.695 | | sampleLengths | | 0 | 67 | | 1 | 62 | | 2 | 41 | | 3 | 5 | | 4 | 3 | | 5 | 17 | | 6 | 48 | | 7 | 63 | | 8 | 28 | | 9 | 60 | | 10 | 31 | | 11 | 11 | | 12 | 51 | | 13 | 40 | | 14 | 8 | | 15 | 21 | | 16 | 3 | | 17 | 16 | | 18 | 23 | | 19 | 40 | | 20 | 2 | | 21 | 17 | | 22 | 21 | | 23 | 61 | | 24 | 37 | | 25 | 10 | | 26 | 7 | | 27 | 41 | | 28 | 42 | | 29 | 11 | | 30 | 49 | | 31 | 30 | | 32 | 19 | | 33 | 6 | | 34 | 22 | | 35 | 14 | | 36 | 43 | | 37 | 27 | | 38 | 6 | | 39 | 8 |
| |
| 97.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 96 | | matches | | 0 | "were lined" | | 1 | "was trapped" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 178 | | matches | | 0 | "was weaving" | | 1 | "was still waiting" |
| |
| 4.16% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 2 | | flaggedSentences | 5 | | totalSentences | 103 | | ratio | 0.049 | | matches | | 0 | "Some had skin the color of river silt; others possessed eyes that glowed with a soft, predatory luminescence." | | 1 | "A dozen pairs of eyes—slitted, multifaceted, or entirely void—fixed on her." | | 2 | "She didn't run around the crowd; she ran through them." | | 3 | "He reached a dead end—a wall of shimmering, translucent ice that pulsed like a heartbeat." | | 4 | "He held a small, carved piece of ivory—a bone token—and pressed it against the ice." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1046 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.014340344168260038 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0009560229445506692 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 10.79 | | std | 5.77 | | cv | 0.535 | | sampleLengths | | 0 | 12 | | 1 | 11 | | 2 | 18 | | 3 | 4 | | 4 | 22 | | 5 | 14 | | 6 | 13 | | 7 | 15 | | 8 | 20 | | 9 | 3 | | 10 | 15 | | 11 | 7 | | 12 | 16 | | 13 | 5 | | 14 | 3 | | 15 | 12 | | 16 | 5 | | 17 | 4 | | 18 | 19 | | 19 | 8 | | 20 | 4 | | 21 | 13 | | 22 | 10 | | 23 | 14 | | 24 | 19 | | 25 | 20 | | 26 | 7 | | 27 | 16 | | 28 | 5 | | 29 | 2 | | 30 | 11 | | 31 | 11 | | 32 | 18 | | 33 | 7 | | 34 | 11 | | 35 | 14 | | 36 | 17 | | 37 | 11 | | 38 | 12 | | 39 | 3 | | 40 | 3 | | 41 | 11 | | 42 | 22 | | 43 | 10 | | 44 | 20 | | 45 | 10 | | 46 | 8 | | 47 | 5 | | 48 | 16 | | 49 | 3 |
| |
| 34.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.2621359223300971 | | totalSentences | 103 | | uniqueOpeners | 27 | |
| 36.23% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 92 | | matches | | 0 | "Instead, he ripped open a" |
| | ratio | 0.011 | |
| 80.87% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 92 | | matches | | 0 | "She kept her center of" | | 1 | "He tumbled into a courtyard" | | 2 | "Her left wrist jerked, the" | | 3 | "He looked back, eyes wide" | | 4 | "He didn't run toward the" | | 5 | "He vanished into the dark." | | 6 | "She gripped the iron bars," | | 7 | "She descended a rusted ladder," | | 8 | "They didn't speak in voices" | | 9 | "She was a puncture wound" | | 10 | "He wore a faded medical" | | 11 | "He watched Quinn with a" | | 12 | "Her gaze remained locked on" | | 13 | "He looked back once, a" | | 14 | "He knew she was trapped" | | 15 | "They didn't attack, but they" | | 16 | "She looked at the tunnel." | | 17 | "She looked at the creatures." | | 18 | "She didn't run around the" | | 19 | "She slammed her shoulder into" |
| | ratio | 0.348 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 92 | | matches | | 0 | "Detective Harlow Quinn lunged forward," | | 1 | "The suspect, a wiry man" | | 2 | "Quinn didn't slow down." | | 3 | "She kept her center of" | | 4 | "The man scrambled over a" | | 5 | "He tumbled into a courtyard" | | 6 | "Quinn hit the fence with" | | 7 | "Her left wrist jerked, the" | | 8 | "The suspect paused." | | 9 | "He looked back, eyes wide" | | 10 | "He didn't run toward the" | | 11 | "Quinn sprinted across the courtyard." | | 12 | "The man slid into the" | | 13 | "He vanished into the dark." | | 14 | "Quinn reached the grate." | | 15 | "A damp, metallic scent rose" | | 16 | "She gripped the iron bars," | | 17 | "This wasn't a sewer." | | 18 | "The architecture below looked carved," | | 19 | "She descended a rusted ladder," |
| | ratio | 0.946 | |
| 54.35% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 92 | | matches | | 0 | "If he vanished into the" |
| | ratio | 0.011 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 8 | | matches | | 0 | "She kept her center of gravity low, shoulders squared, cutting through the wind that whipped her cropped salt-and-pepper hair against her forehead." | | 1 | "When her boots hit the floor, she found herself in a tunnel that smelled of sulfur and ancient dust." | | 2 | "Some had skin the color of river silt; others possessed eyes that glowed with a soft, predatory luminescence." | | 3 | "The air hummed with a low-frequency vibration that rattled her teeth." | | 4 | "The suspect held evidence that linked a series of ritualistic killings to the clique she had been hunting for months." | | 5 | "The suspect emerged from the beads, sprinting toward a tunnel that smelled of rotting lilies." | | 6 | "She ignored the whispers that crawled into her ears, telling her that Morris was still waiting in the dark." | | 7 | "Quinn stepped forward, the ice radiating a chill that seeped through her boots and into her marrow." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "the suspect screamed (scream)" | | 1 | "Quinn snapped (snap)" | | 2 | "Tomás yelled (yell)" |
| | dialogueSentences | 10 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 1 | | effectiveRatio | 0.6 | |