| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1371 | | 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) | |
| 56.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1371 | | totalAiIsms | 12 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "casual indifference" | | count | 1 |
|
| | highlights | | 0 | "measured" | | 1 | "footsteps" | | 2 | "scanning" | | 3 | "methodical" | | 4 | "weight" | | 5 | "vibrated" | | 6 | "shimmered" | | 7 | "glint" | | 8 | "quickened" | | 9 | "traced" | | 10 | "casual indifference" |
| |
| 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 | 133 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 133 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 134 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1383 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1375 | | uniqueNames | 19 | | maxNameDensity | 0.87 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 2 | | Harlow | 1 | | Quinn | 12 | | Berwick | 1 | | Street | 1 | | Glock | 3 | | Mediterranean | 1 | | Camden | 1 | | Morris | 2 | | Thames | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Herrera | 3 | | Metropolitan | 1 | | Police | 1 | | Saint | 1 | | Christopher | 1 | | Three | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Market" | | 4 | "Herrera" | | 5 | "Saint" | | 6 | "Christopher" |
| | places | | 0 | "Soho" | | 1 | "Berwick" | | 2 | "Street" | | 3 | "Camden" | | 4 | "Thames" |
| | globalScore | 1 | | windowScore | 1 | |
| 87.50% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a closed-down travel agency," | | 1 | "sounded like a child" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.723 | | wordCount | 1383 | | matches | | 0 | "not the sad folding tables of a car boot sale but proper structures, wooden" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 134 | | matches | | 0 | "learned that lesson" | | 1 | "casting that amber" |
| |
| 91.32% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 43.22 | | std | 20.3 | | cv | 0.47 | | sampleLengths | | 0 | 47 | | 1 | 68 | | 2 | 38 | | 3 | 49 | | 4 | 38 | | 5 | 55 | | 6 | 14 | | 7 | 42 | | 8 | 47 | | 9 | 37 | | 10 | 67 | | 11 | 40 | | 12 | 31 | | 13 | 6 | | 14 | 42 | | 15 | 36 | | 16 | 1 | | 17 | 68 | | 18 | 6 | | 19 | 79 | | 20 | 62 | | 21 | 65 | | 22 | 16 | | 23 | 73 | | 24 | 61 | | 25 | 53 | | 26 | 66 | | 27 | 46 | | 28 | 41 | | 29 | 35 | | 30 | 37 | | 31 | 17 |
| |
| 92.07% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 133 | | matches | | 0 | "been pulled" | | 1 | "been transformed" | | 2 | "was obscured" | | 3 | "been found" | | 4 | "being told" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 224 | | matches | | 0 | "was, breathing" | | 1 | "was running" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 134 | | ratio | 0.075 | | matches | | 0 | "The figure ahead — medium build, dark jacket, hood pulled up — dodged between a pair of parked delivery vans and vanished around the corner of Berwick Street." | | 1 | "Then — movement." | | 2 | "She swept the space with her flashlight — a front counter, overturned chairs, a back hallway leading deeper into the building." | | 3 | "Her knees protested — forty-one wasn't twenty-five, no matter how many morning runs she forced herself through — but her stride held long and powerful." | | 4 | "Ahead, the silhouette dropped into an open manhole — just gone, like the ground had swallowed him." | | 5 | "The metal was slick with rain and something else — something warmer, stickier." | | 6 | "Stalls lined both sides — not the sad folding tables of a car boot sale but proper structures, wooden and iron-framed, draped in cloth that shimmered with colors Quinn couldn't immediately name." | | 7 | "Somewhere, a child laughed — or something that sounded like a child." | | 8 | "And there, thirty feet ahead, moving through the crowd with the confident ease of someone who knew the terrain — her suspect." | | 9 | "A woman passed close enough for Quinn to catch her scent — lavender and copper." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1372 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.02478134110787172 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0036443148688046646 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 134 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 134 | | mean | 10.32 | | std | 8.49 | | cv | 0.823 | | sampleLengths | | 0 | 19 | | 1 | 19 | | 2 | 2 | | 3 | 7 | | 4 | 28 | | 5 | 27 | | 6 | 9 | | 7 | 4 | | 8 | 5 | | 9 | 1 | | 10 | 15 | | 11 | 6 | | 12 | 6 | | 13 | 3 | | 14 | 2 | | 15 | 10 | | 16 | 3 | | 17 | 3 | | 18 | 9 | | 19 | 3 | | 20 | 21 | | 21 | 16 | | 22 | 2 | | 23 | 7 | | 24 | 13 | | 25 | 8 | | 26 | 20 | | 27 | 6 | | 28 | 21 | | 29 | 1 | | 30 | 8 | | 31 | 5 | | 32 | 19 | | 33 | 21 | | 34 | 2 | | 35 | 2 | | 36 | 25 | | 37 | 15 | | 38 | 5 | | 39 | 8 | | 40 | 13 | | 41 | 2 | | 42 | 2 | | 43 | 12 | | 44 | 19 | | 45 | 6 | | 46 | 30 | | 47 | 6 | | 48 | 6 | | 49 | 7 |
| |
| 59.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.417910447761194 | | totalSentences | 134 | | uniqueOpeners | 56 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 110 | | matches | | 0 | "Somewhere above, a window rattled" | | 1 | "Then — movement." | | 2 | "Somewhere, a child laughed —" | | 3 | "Once from an informant who'd" | | 4 | "Once from a rambling statement" |
| | ratio | 0.045 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 110 | | matches | | 0 | "She'd been chasing him for" | | 1 | "Her worn leather watch caught" | | 2 | "She edged around the corner." | | 3 | "she breathed, scanning the row" | | 4 | "She pushed the door open" | | 5 | "She swept the space with" | | 6 | "He'd gone through the back." | | 7 | "Her knees protested — forty-one" | | 8 | "She ripped free without stopping." | | 9 | "His body had been pulled" | | 10 | "She'd stopped trusting files after" | | 11 | "She followed through a gap" | | 12 | "She stood over the manhole." | | 13 | "Her voice disappeared into the" | | 14 | "She checked behind her." | | 15 | "She pocketed it and gripped" | | 16 | "She didn't look at her" | | 17 | "She could hear sounds now." | | 18 | "She rounded the curve and" | | 19 | "She'd heard the name twice" |
| | ratio | 0.245 | |
| 55.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 110 | | matches | | 0 | "Detective Harlow Quinn's boots struck" | | 1 | "She'd been chasing him for" | | 2 | "The figure ahead — medium" | | 3 | "Quinn pulled up to the" | | 4 | "Her worn leather watch caught" | | 5 | "She edged around the corner." | | 6 | "The street glistened under a" | | 7 | "A cat shrieked from an" | | 8 | "she breathed, scanning the row" | | 9 | "A halal shop." | | 10 | "A betting office." | | 11 | "A place that sold phone" | | 12 | "A side door to what" | | 13 | "Quinn approached it with the" | | 14 | "Weight on the balls of" | | 15 | "She pushed the door open" | | 16 | "The interior smelled of mildew" | | 17 | "Rain drummed on the roof" | | 18 | "She swept the space with" | | 19 | "A wet footprint on the" |
| | ratio | 0.809 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 110 | | matches | (empty) | | ratio | 0 | |
| 88.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 4 | | matches | | 0 | "The ladder gave way to a tunnel that smelled of rust and ozone and something faintly herbal, like a shop that sold candles and essential oils." | | 1 | "Stalls lined both sides — not the sad folding tables of a car boot sale but proper structures, wooden and iron-framed, draped in cloth that shimmered with color…" | | 2 | "And there, thirty feet ahead, moving through the crowd with the confident ease of someone who knew the terrain — her suspect." | | 3 | "The market crowd moved around her like water around a stone, some figures giving her a wide berth, others brushing past with the casual indifference of people w…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "she breathed (breathe)" |
| | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |