| 62.07% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 2 | | adverbTags | | 0 | "Herrera's voice echoed back [back]" | | 1 | "Tommy said quietly [quietly]" |
| | dialogueSentences | 29 | | tagDensity | 0.448 | | leniency | 0.897 | | rawRatio | 0.154 | | effectiveRatio | 0.138 | |
| 92.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1266 | | 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) | |
| 48.66% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1266 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "throbbed" | | 1 | "pulse" | | 2 | "footsteps" | | 3 | "echoed" | | 4 | "gloom" | | 5 | "treacherous" | | 6 | "echoing" | | 7 | "velvet" | | 8 | "weight" | | 9 | "silence" | | 10 | "hulking" |
| |
| 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 | 83 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 83 | | filterMatches | | | hedgeMatches | (empty) | |
| 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 | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1266 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.34% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1016 | | uniqueNames | 16 | | maxNameDensity | 1.67 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 17 | | London | 1 | | Glock | 2 | | Herrera | 5 | | Victorian | 1 | | Met | 1 | | Camden | 1 | | Tube | 1 | | Blitz | 1 | | Veil | 1 | | Market | 1 | | Thames | 1 | | Saint | 1 | | Christopher | 1 | | Tommy | 5 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Tommy" |
| | places | | | globalScore | 0.663 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | 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 | 1266 | | 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 | 43 | | mean | 29.44 | | std | 17.11 | | cv | 0.581 | | sampleLengths | | 0 | 52 | | 1 | 53 | | 2 | 14 | | 3 | 44 | | 4 | 37 | | 5 | 31 | | 6 | 54 | | 7 | 9 | | 8 | 25 | | 9 | 39 | | 10 | 35 | | 11 | 26 | | 12 | 3 | | 13 | 46 | | 14 | 3 | | 15 | 60 | | 16 | 3 | | 17 | 51 | | 18 | 3 | | 19 | 39 | | 20 | 42 | | 21 | 26 | | 22 | 21 | | 23 | 30 | | 24 | 40 | | 25 | 1 | | 26 | 32 | | 27 | 66 | | 28 | 20 | | 29 | 25 | | 30 | 40 | | 31 | 44 | | 32 | 30 | | 33 | 23 | | 34 | 5 | | 35 | 22 | | 36 | 34 | | 37 | 13 | | 38 | 10 | | 39 | 50 | | 40 | 17 | | 41 | 37 | | 42 | 11 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 171 | | matches | | 0 | "was already descending" | | 1 | "were closing" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 99 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1028 | | adjectiveStacks | 2 | | stackExamples | | 0 | "narrow, trash-strewn alleyway" | | 1 | "slick, moss-covered concrete." |
| | adverbCount | 13 | | adverbRatio | 0.01264591439688716 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006809338521400778 | |
| 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 | 12.79 | | std | 7.71 | | cv | 0.603 | | sampleLengths | | 0 | 15 | | 1 | 15 | | 2 | 22 | | 3 | 13 | | 4 | 21 | | 5 | 4 | | 6 | 13 | | 7 | 2 | | 8 | 14 | | 9 | 5 | | 10 | 17 | | 11 | 13 | | 12 | 9 | | 13 | 24 | | 14 | 13 | | 15 | 11 | | 16 | 18 | | 17 | 1 | | 18 | 1 | | 19 | 12 | | 20 | 24 | | 21 | 18 | | 22 | 9 | | 23 | 5 | | 24 | 1 | | 25 | 19 | | 26 | 7 | | 27 | 12 | | 28 | 20 | | 29 | 20 | | 30 | 15 | | 31 | 19 | | 32 | 7 | | 33 | 3 | | 34 | 14 | | 35 | 18 | | 36 | 14 | | 37 | 3 | | 38 | 22 | | 39 | 11 | | 40 | 9 | | 41 | 18 | | 42 | 3 | | 43 | 5 | | 44 | 31 | | 45 | 15 | | 46 | 3 | | 47 | 25 | | 48 | 4 | | 49 | 10 |
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| 80.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5050505050505051 | | totalSentences | 99 | | uniqueOpeners | 50 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 78 | | matches | | 0 | "Her left wrist throbbed beneath" | | 1 | "She knew that stride." | | 2 | "He veered left, cutting down" | | 3 | "She adjusted her grip on" | | 4 | "It was an abandoned Tube" | | 5 | "She pulled her torch from" | | 6 | "she shouted down the stairwell," | | 7 | "She reached the bottom of" | | 8 | "It was alive." | | 9 | "She had heard whispers about" | | 10 | "She had dismissed it as" | | 11 | "It was real." | | 12 | "He didn't look human." | | 13 | "She caught a glimpse of" | | 14 | "She shoved past a merchant" | | 15 | "She cornered Herrera against the" | | 16 | "He turned to face her," | | 17 | "He wore a dark, rain-soaked" | | 18 | "His left forearm bore a" | | 19 | "She didn't need to turn" |
| | ratio | 0.269 | |
| 24.10% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 78 | | matches | | 0 | "Detective Harlow Quinn sprinted across" | | 1 | "Quinn rested her right hand" | | 2 | "Her left wrist throbbed beneath" | | 3 | "She knew that stride." | | 4 | "The slight limp in the" | | 5 | "Quinn screamed over the roar" | | 6 | "The former paramedic didn't hesitate." | | 7 | "He veered left, cutting down" | | 8 | "Quinn rounded the corner sharply," | | 9 | "The alley ended at a" | | 10 | "A padlocked chain-link gate swung" | | 11 | "Quinn skidded to a halt" | | 12 | "She adjusted her grip on" | | 13 | "It was an abandoned Tube" | | 14 | "Herrera's footsteps echoed down the" | | 15 | "Quinn checked her left wrist." | | 16 | "She pulled her torch from" | | 17 | "The stairwell spiraled down into" | | 18 | "Moisture beaded on the tiled" | | 19 | "Quinn moved with military precision," |
| | ratio | 0.872 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 66.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 5 | | matches | | 0 | "The alley ended at a dead drop, but Herrera was already descending a concrete stairwell that plunged straight into the bowels of the city." | | 1 | "The torchlight cut through a thick, aromatic haze that smelled of clove cigarettes, burning tallow, and exotic spices." | | 2 | "She had heard whispers about a hidden underground market that shifted locations, a rumor whispered in dark corners by informants who usually turned up face-down…" | | 3 | "A tall man wearing a coat stitched from iridescent feathers glanced up at her, his eyes reflecting the beam of her torch like a cat's." | | 4 | "Quinn stood her ground on the soot, the weight of eighteen years of service heavy on her shoulders, staring into the dark eyes of a world she had spent her life…" |
| |
| 9.62% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 3 | | matches | | 0 | "she shouted, her voice bouncing off the damp tiles" | | 1 | "Tommy snapped, his voice sharp with desperation" | | 2 | "Quinn stepped, her sharp jaw trembling with suppressed rage" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 6 | | fancyTags | | 0 | "Quinn screamed (scream)" | | 1 | "she shouted (shout)" | | 2 | "Quinn barked (bark)" | | 3 | "Tommy whispered (whisper)" | | 4 | "Tommy snapped (snap)" | | 5 | "a voice growled (growl)" |
| | dialogueSentences | 29 | | tagDensity | 0.31 | | leniency | 0.621 | | rawRatio | 0.667 | | effectiveRatio | 0.414 | |