| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 95.37% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1080 | | 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) | |
| 53.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1080 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "measured" | | 1 | "gleaming" | | 2 | "flicker" | | 3 | "footsteps" | | 4 | "whisper" | | 5 | "warmth" | | 6 | "velvet" | | 7 | "shimmered" | | 8 | "weight" | | 9 | "throb" |
| |
| 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 | 90 | | matches | (empty) | |
| 79.37% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 90 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1074 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 94.13% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1074 | | uniqueNames | 19 | | maxNameDensity | 1.12 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 2 | | Harlow | 1 | | Quinn | 12 | | Herrera | 6 | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Saint | 1 | | Christopher | 1 | | Morris | 4 | | God | 1 | | Him | 1 | | Glock | 2 | | London | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Persian | 1 | | Met | 1 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Herrera" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Morris" | | 7 | "Him" |
| | places | | 0 | "Raven" | | 1 | "Soho" | | 2 | "London" | | 3 | "Met" |
| | globalScore | 0.941 | | windowScore | 1 | |
| 29.03% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like it had seen God and found Him" | | 1 | "felt like this—dark, breathless, wrong" | | 2 | "looked like a vertebra, polished smooth a" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1074 | | matches | (empty) | |
| 92.59% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 90 | | matches | | 0 | "bought that watch" | | 1 | "screamed that bullets" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 42.96 | | std | 34.43 | | cv | 0.802 | | sampleLengths | | 0 | 91 | | 1 | 86 | | 2 | 98 | | 3 | 62 | | 4 | 71 | | 5 | 21 | | 6 | 80 | | 7 | 20 | | 8 | 3 | | 9 | 102 | | 10 | 43 | | 11 | 10 | | 12 | 78 | | 13 | 4 | | 14 | 17 | | 15 | 86 | | 16 | 17 | | 17 | 51 | | 18 | 13 | | 19 | 5 | | 20 | 62 | | 21 | 32 | | 22 | 3 | | 23 | 3 | | 24 | 16 |
| |
| 97.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 90 | | matches | | 0 | "was plastered" | | 1 | "been transformed" |
| |
| 93.62% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 188 | | matches | | 0 | "was talking" | | 1 | "was bearing" | | 2 | "was slipping" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 2 | | flaggedSentences | 8 | | totalSentences | 90 | | ratio | 0.089 | | matches | | 0 | "Eighteen years on the job had not softened her; they had filed her down to a sharper edge." | | 1 | "Her eyes—brown, unforgiving—stayed locked on the figure twenty yards ahead." | | 2 | "His sleeve snagged, and Quinn caught the pale flash of the scar running along his left forearm—old, deliberate, a knife’s signature." | | 3 | "Her left wrist scraped against the metal; the worn leather watch band absorbed the shock." | | 4 | "She had reviewed the case files until the words swam, but the answers had always slipped sideways, into territory that felt like this—dark, breathless, wrong." | | 5 | "From below came no sound of footsteps—only a low, resonant hum, like a tuning fork struck against bone." | | 6 | "But historians didn’t account for the warmth rising to meet her, or the smell—myrrh, ozone, and beneath it, the copper tang of old blood." | | 7 | "The way his flat had smelled after—like this market, like ritual and rain and something older than the city above." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1088 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.02389705882352941 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0027573529411764708 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 11.93 | | std | 8.12 | | cv | 0.681 | | sampleLengths | | 0 | 9 | | 1 | 21 | | 2 | 18 | | 3 | 27 | | 4 | 6 | | 5 | 10 | | 6 | 12 | | 7 | 23 | | 8 | 31 | | 9 | 8 | | 10 | 6 | | 11 | 6 | | 12 | 5 | | 13 | 21 | | 14 | 29 | | 15 | 8 | | 16 | 15 | | 17 | 11 | | 18 | 9 | | 19 | 14 | | 20 | 2 | | 21 | 2 | | 22 | 19 | | 23 | 25 | | 24 | 19 | | 25 | 12 | | 26 | 13 | | 27 | 5 | | 28 | 6 | | 29 | 16 | | 30 | 2 | | 31 | 1 | | 32 | 18 | | 33 | 2 | | 34 | 13 | | 35 | 21 | | 36 | 7 | | 37 | 13 | | 38 | 24 | | 39 | 17 | | 40 | 3 | | 41 | 3 | | 42 | 11 | | 43 | 10 | | 44 | 19 | | 45 | 16 | | 46 | 23 | | 47 | 2 | | 48 | 3 | | 49 | 1 |
| |
| 71.85% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.4444444444444444 | | totalSentences | 90 | | uniqueOpeners | 40 | |
| 84.39% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 79 | | matches | | 0 | "Then he was over, landing" | | 1 | "Instead, it thrived." |
| | ratio | 0.025 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 79 | | matches | | 0 | "Her salt-and-pepper hair, cropped close" | | 1 | "She did not blink it" | | 2 | "Her eyes—brown, unforgiving—stayed locked on" | | 3 | "He cut left past a" | | 4 | "She just didn’t know what" | | 5 | "His sleeve snagged, and Quinn" | | 6 | "Her left wrist scraped against" | | 7 | "She’d bought that watch during" | | 8 | "It had outlasted two marriages," | | 9 | "She had reviewed the case" | | 10 | "She knew it in her" | | 11 | "He was talking to a" | | 12 | "She made it five steps" | | 13 | "It was an arch of" | | 14 | "She had her badge, her" | | 15 | "She felt the weight of" | | 16 | "Her hand drifted toward her" | | 17 | "She thought of Morris again." | | 18 | "She had spent three years" | | 19 | "It looked like a vertebra," |
| | ratio | 0.291 | |
| 73.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 79 | | matches | | 0 | "Rain needled Camden’s backstreets, turning" | | 1 | "Detective Harlow Quinn ran with" | | 2 | "Her salt-and-pepper hair, cropped close" | | 3 | "She did not blink it" | | 4 | "Her eyes—brown, unforgiving—stayed locked on" | | 5 | "Tomás Herrera moved like a" | | 6 | "He cut left past a" | | 7 | "Quinn had been watching him" | | 8 | "Tonight, he’d made her again," | | 9 | "That made him guilty of" | | 10 | "She just didn’t know what" | | 11 | "Herrera vaulted a chain-link fence." | | 12 | "His sleeve snagged, and Quinn" | | 13 | "Quinn hit the fence three" | | 14 | "Her left wrist scraped against" | | 15 | "She’d bought that watch during" | | 16 | "It had outlasted two marriages," | | 17 | "The thought of DS Morris" | | 18 | "A body with no wounds" | | 19 | "She had reviewed the case" |
| | ratio | 0.772 | |
| 63.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 79 | | matches | | 0 | "Now the rails had converged," |
| | ratio | 0.013 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 5 | | matches | | 0 | "She had reviewed the case files until the words swam, but the answers had always slipped sideways, into territory that felt like this—dark, breathless, wrong." | | 1 | "The door groaned inward, revealing a staircase spiraling down into a darkness that swallowed the rain." | | 2 | "Hooded figures moved between them, exchanging whispered words and wrapped parcels that shimmered with wrong-colored light." | | 3 | "On a table to her left, glass vials bubbled with liquids that defied gravity, climbing the sides of their containers like living things." | | 4 | "Ahead lay a market that moved every full moon, that traded in miracles and poisons, that had swallowed her suspect and, perhaps, her partner before him." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |