| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.346 | | leniency | 0.692 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.14% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1273 | | totalAiIsmAdverbs | 2 | | 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) | |
| 84.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1273 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "weight" | | 1 | "pumping" | | 2 | "footsteps" |
| |
| 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 | 82 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 82 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 4 | | totalWords | 1283 | | ratio | 0.003 | | matches | | 0 | "stress-related dissociative episode" | | 1 | "ahhh" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 1089 | | uniqueNames | 16 | | maxNameDensity | 0.73 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Kentish | 1 | | Town | 1 | | Road | 1 | | Quinn | 8 | | Saint | 1 | | Christopher | 1 | | Herrera | 4 | | Coke | 1 | | Friday | 1 | | Victorian | 1 | | August | 1 | | Tottenham | 1 | | Peckham | 1 | | Morris | 2 | | Wapping | 1 | | Bible | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Saint" | | 2 | "Christopher" | | 3 | "Herrera" | | 4 | "Morris" |
| | places | | 0 | "Kentish" | | 1 | "Town" | | 2 | "Road" | | 3 | "August" | | 4 | "Tottenham" | | 5 | "Peckham" | | 6 | "Wapping" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 1 | | matches | | 0 | "something like a butcher's shop in August" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1283 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 99 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 25.66 | | std | 22.13 | | cv | 0.862 | | sampleLengths | | 0 | 30 | | 1 | 51 | | 2 | 12 | | 3 | 45 | | 4 | 28 | | 5 | 5 | | 6 | 25 | | 7 | 5 | | 8 | 69 | | 9 | 2 | | 10 | 5 | | 11 | 52 | | 12 | 74 | | 13 | 3 | | 14 | 40 | | 15 | 8 | | 16 | 74 | | 17 | 44 | | 18 | 18 | | 19 | 3 | | 20 | 44 | | 21 | 11 | | 22 | 64 | | 23 | 5 | | 24 | 12 | | 25 | 50 | | 26 | 8 | | 27 | 73 | | 28 | 9 | | 29 | 21 | | 30 | 49 | | 31 | 48 | | 32 | 9 | | 33 | 1 | | 34 | 38 | | 35 | 3 | | 36 | 10 | | 37 | 21 | | 38 | 6 | | 39 | 3 | | 40 | 16 | | 41 | 38 | | 42 | 25 | | 43 | 4 | | 44 | 5 | | 45 | 18 | | 46 | 10 | | 47 | 53 | | 48 | 24 | | 49 | 12 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 83.04% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 171 | | matches | | 0 | "was going" | | 1 | "was laughing " | | 2 | "was playing" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 99 | | ratio | 0.071 | | matches | | 0 | "Tomás Herrera looked up, and eighteen years of decorated service told her exactly what she'd see next — the flick of the eyes to her waist, to the exits, the shift of weight onto the balls of the feet." | | 1 | "Forty-one years old and she still ran well — she'd made a point of it, of never becoming the sort of detective who arrived after the running was finished — and she closed six feet in the first thirty yards." | | 2 | "Found him again — the medallion, a wink of silver under a streetlamp — and he was going right, off the main drag, down towards the canal." | | 3 | "He stood with his hands on his knees, chest heaving, and he was laughing — the ugly, breathless kind of laugh that came out of people right before they cried." | | 4 | "And she watched something in him tip over — some calculation land the wrong way — because he glanced left, at the brick wall under the bridge, and she understood a half-second too late that the chase wasn't finished." | | 5 | "A section of Victorian brick swung inward on nothing she could see, and behind it was a stairwell — white tile, cracked and yellowed, the kind that used to say things like WAY OUT and NO SPITTING in enamel letters." | | 6 | "Down in the dark, a crowd made a sound — a low collective *ahhh*, like a market when the price drops." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1082 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.026802218114602587 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006469500924214418 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 12.96 | | std | 12.14 | | cv | 0.936 | | sampleLengths | | 0 | 30 | | 1 | 6 | | 2 | 8 | | 3 | 37 | | 4 | 12 | | 5 | 6 | | 6 | 39 | | 7 | 13 | | 8 | 15 | | 9 | 5 | | 10 | 25 | | 11 | 5 | | 12 | 32 | | 13 | 6 | | 14 | 31 | | 15 | 2 | | 16 | 2 | | 17 | 3 | | 18 | 2 | | 19 | 40 | | 20 | 10 | | 21 | 8 | | 22 | 4 | | 23 | 14 | | 24 | 28 | | 25 | 10 | | 26 | 10 | | 27 | 3 | | 28 | 10 | | 29 | 3 | | 30 | 27 | | 31 | 5 | | 32 | 3 | | 33 | 4 | | 34 | 27 | | 35 | 43 | | 36 | 8 | | 37 | 6 | | 38 | 30 | | 39 | 4 | | 40 | 14 | | 41 | 3 | | 42 | 2 | | 43 | 12 | | 44 | 30 | | 45 | 6 | | 46 | 5 | | 47 | 37 | | 48 | 27 | | 49 | 5 |
| |
| 71.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.47474747474747475 | | totalSentences | 99 | | uniqueOpeners | 47 | |
| 96.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 69 | | matches | | 0 | "Then he hit the street" | | 1 | "Still wet from his hand." |
| | ratio | 0.029 | |
| 51.88% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 69 | | matches | | 0 | "He had a paper bag" | | 1 | "She keyed her radio, then" | | 2 | "She held up her warrant" | | 3 | "He dropped the paper bag." | | 4 | "He went out the back," | | 5 | "Her shoulder took the fire" | | 6 | "They never did." | | 7 | "She lost him." | | 8 | "Her lungs began to complain." | | 9 | "She let them." | | 10 | "He knew these streets." | | 11 | "He took a gap in" | | 12 | "Her footsteps and his footsteps" | | 13 | "Her voice bounced" | | 14 | "He stood with his hands" | | 15 | "He hit the wall and" | | 16 | "It smelled of cardamom and" | | 17 | "She had walked into crack" | | 18 | "She had never in her" | | 19 | "He hadn't been there." |
| | ratio | 0.42 | |
| 61.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 69 | | matches | | 0 | "Rain came down like it" | | 1 | "Olive skin gone grey under" | | 2 | "He had a paper bag" | | 3 | "She keyed her radio, then" | | 4 | "The bell over the door" | | 5 | "Tomás Herrera looked up, and" | | 6 | "She held up her warrant" | | 7 | "He dropped the paper bag." | | 8 | "He went out the back," | | 9 | "Her shoulder took the fire" | | 10 | "The alley beyond was a" | | 11 | "They never did." | | 12 | "Camden on a Friday night," | | 13 | "Umbrellas at eye level." | | 14 | "Music leaking out of every" | | 15 | "Herrera cut left across the" | | 16 | "Quinn went after him between" | | 17 | "Water came up over her" | | 18 | "The lock crowd outside the" | | 19 | "She lost him." |
| | ratio | 0.797 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 2 | | matches | | 0 | "Forty-one years old and she still ran well — she'd made a point of it, of never becoming the sort of detective who arrived after the running was finished — and …" | | 1 | "A section of Victorian brick swung inward on nothing she could see, and behind it was a stairwell — white tile, cracked and yellowed, the kind that used to say …" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 26 | | tagDensity | 0.115 | | leniency | 0.231 | | rawRatio | 0.333 | | effectiveRatio | 0.077 | |