| 75.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "she replied curtly [curtly]" |
| | dialogueSentences | 13 | | tagDensity | 0.615 | | leniency | 1 | | rawRatio | 0.125 | | effectiveRatio | 0.125 | |
| 95.55% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1124 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1124 | | totalAiIsms | 30 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | word | "practiced ease" | | count | 1 |
| | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | | | 26 | |
| | highlights | | 0 | "footsteps" | | 1 | "echoed" | | 2 | "comforting" | | 3 | "delving" | | 4 | "gleaming" | | 5 | "chaotic" | | 6 | "quickened" | | 7 | "measured" | | 8 | "calculated" | | 9 | "facade" | | 10 | "weight" | | 11 | "stark" | | 12 | "warmth" | | 13 | "unwavering" | | 14 | "familiar" | | 15 | "clandestine" | | 16 | "otherworldly" | | 17 | "surreal" | | 18 | "practiced ease" | | 19 | "enigmatic" | | 20 | "flicker" | | 21 | "restrained" | | 22 | "reminder" | | 23 | "peril" | | 24 | "navigated" | | 25 | "echo" | | 26 | "fleeting" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "the air was thick with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 68 | | matches | (empty) | |
| 58.82% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 68 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 73 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1117 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.71% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1032 | | uniqueNames | 18 | | maxNameDensity | 1.07 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 11 | | Quinn | 2 | | Soho | 1 | | Trafalgar | 1 | | Square | 1 | | Metropolitan | 1 | | Police | 1 | | Raven | 2 | | Nest | 2 | | Veil | 3 | | Market | 4 | | Tube | 1 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Tomás | 4 | | Morris | 1 | | Detective | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Herrera" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Tomás" | | 7 | "Morris" |
| | places | | | globalScore | 0.967 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 1 | | matches | | 0 | "abyss that seemed to swallow all light" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1117 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 73 | | matches | (empty) | |
| 65.01% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 44.68 | | std | 16.87 | | cv | 0.378 | | sampleLengths | | 0 | 65 | | 1 | 79 | | 2 | 60 | | 3 | 58 | | 4 | 59 | | 5 | 62 | | 6 | 55 | | 7 | 55 | | 8 | 56 | | 9 | 47 | | 10 | 54 | | 11 | 25 | | 12 | 33 | | 13 | 26 | | 14 | 11 | | 15 | 42 | | 16 | 38 | | 17 | 54 | | 18 | 27 | | 19 | 20 | | 20 | 19 | | 21 | 57 | | 22 | 46 | | 23 | 41 | | 24 | 28 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 68 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 156 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 2 | | flaggedSentences | 8 | | totalSentences | 73 | | ratio | 0.11 | | matches | | 0 | "At the bottom, she emerged into The Veil Market—an abandoned Tube station repurposed into a clandestine bazaar." | | 1 | "The suspect, her quarry, was nowhere in sight—but the chase was far from over." | | 2 | "\"Looking for someone.\" She didn't need to elaborate; both knew the kinds of someones that wound up in places like this." | | 3 | "\"It's dangerous, you know. Not everyone here plays by the same rules,\" he replied, a glance at her wristwatch—a reminder of time spent and battles fought." | | 4 | "The Market's rhythm was that of a living beast—each stall, a sinew; each shadow, a vein." | | 5 | "This was unknown territory, but fear didn't color her thoughts—determination did." | | 6 | "Memories of her partner, DS Morris, filled her mind—the case, the mysterious circumstances, the supernatural shadows." | | 7 | "Until she caught a glimpse of motion ahead—a fleeting shadow that might be the fugitive she pursued." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1047 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.019102196752626553 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.015281757402101241 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 73 | | echoCount | 0 | | echoWords | (empty) | |
| 87.73% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 73 | | mean | 15.3 | | std | 5.65 | | cv | 0.369 | | sampleLengths | | 0 | 16 | | 1 | 33 | | 2 | 16 | | 3 | 10 | | 4 | 23 | | 5 | 24 | | 6 | 22 | | 7 | 25 | | 8 | 11 | | 9 | 11 | | 10 | 13 | | 11 | 9 | | 12 | 19 | | 13 | 15 | | 14 | 15 | | 15 | 13 | | 16 | 12 | | 17 | 13 | | 18 | 21 | | 19 | 22 | | 20 | 16 | | 21 | 12 | | 22 | 12 | | 23 | 21 | | 24 | 16 | | 25 | 18 | | 26 | 17 | | 27 | 18 | | 28 | 20 | | 29 | 18 | | 30 | 21 | | 31 | 17 | | 32 | 17 | | 33 | 14 | | 34 | 16 | | 35 | 17 | | 36 | 14 | | 37 | 11 | | 38 | 12 | | 39 | 6 | | 40 | 13 | | 41 | 6 | | 42 | 12 | | 43 | 21 | | 44 | 26 | | 45 | 4 | | 46 | 7 | | 47 | 7 | | 48 | 11 | | 49 | 24 |
| |
| 85.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5205479452054794 | | totalSentences | 73 | | uniqueOpeners | 38 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 67.06% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 68 | | matches | | 0 | "She'd been tracking her quarry" | | 1 | "Her eyes, sharp and focused," | | 2 | "Her target, a wiry figure" | | 3 | "They catapulted over dumpsters, past" | | 4 | "Her quarry had surprise on" | | 5 | "She closed the distance, her" | | 6 | "She moved swiftly, her confidence" | | 7 | "She descended into the unknown," | | 8 | "Her gaze was unyielding as" | | 9 | "She took a cautious step" | | 10 | "His warm brown eyes, full" | | 11 | "They had crossed paths before," | | 12 | "he said, with a nod" | | 13 | "she acknowledged, her voice even" | | 14 | "She didn't need to elaborate;" | | 15 | "he replied, a glance at" | | 16 | "she replied curtly" | | 17 | "Their eyes locked in a" | | 18 | "she demanded, and he hesitated" | | 19 | "She listened to the secrets" |
| | ratio | 0.382 | |
| 33.53% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 68 | | matches | | 0 | "Detective Harlow Quinn's footsteps echoed" | | 1 | "She'd been tracking her quarry" | | 2 | "Her eyes, sharp and focused," | | 3 | "Her target, a wiry figure" | | 4 | "Harlow quickened her pace, her" | | 5 | "The suspect led her on" | | 6 | "They catapulted over dumpsters, past" | | 7 | "Her quarry had surprise on" | | 8 | "She closed the distance, her" | | 9 | "The chase finally brought them" | | 10 | "A distinctive green neon sign" | | 11 | "The suspect didn't hesitate, slipping" | | 12 | "Harlow followed on their heels," | | 13 | "Warmth and the scent of" | | 14 | "The place was sparsely populated," | | 15 | "The walls, covered with old" | | 16 | "Harlow's gaze swept the room," | | 17 | "She moved swiftly, her confidence" | | 18 | "Fingers brushed over the spines" | | 19 | "The shelf swung open with" |
| | ratio | 0.853 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 3 | | matches | | 0 | "The walls, covered with old maps and black-and-white photographs, seemed to close in as if they held secrets of their own." | | 1 | "She moved swiftly, her confidence unwavering even when she found herself standing before the inconspicuous shelf." | | 2 | "She descended into the unknown, wrought-iron stairs spiraling down into an abyss that seemed to swallow all light." |
| |
| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "she replied, a faint smirk barely touching her lips" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "she acknowledged (acknowledge)" | | 1 | "she demanded (demand)" | | 2 | "he corrected (correct)" |
| | dialogueSentences | 13 | | tagDensity | 0.538 | | leniency | 1 | | rawRatio | 0.429 | | effectiveRatio | 0.429 | |