| 18.18% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 1 | | adverbTags | | 0 | "his voice slid like [like]" |
| | dialogueSentences | 11 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0.2 | | effectiveRatio | 0.182 | |
| 94.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 943 | | 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) | |
| 4.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 943 | | totalAiIsms | 18 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "cascading" | | 1 | "jaw clenched" | | 2 | "predator" | | 3 | "tracing" | | 4 | "unravel" | | 5 | "echo" | | 6 | "footsteps" | | 7 | "scanning" | | 8 | "potential" | | 9 | "whisper" | | 10 | "wavered" | | 11 | "silence" | | 12 | "warmth" | | 13 | "dance" | | 14 | "grappling" | | 15 | "wavering" | | 16 | "pulse" | | 17 | "weight" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
|
| | highlights | | 0 | "heart hammered in her chest" | | 1 | "jaw clenched" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 77 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 77 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 932 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 45.83% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 864 | | uniqueNames | 9 | | maxNameDensity | 2.08 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Soho | 1 | | Harlow | 18 | | Quinn | 1 | | Tube | 1 | | London | 1 | | Veil | 1 | | Market | 1 | | Morris | 2 | | Silence | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Market" |
| | globalScore | 0.458 | | windowScore | 0.833 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 2 | | matches | | 0 | "as if sensing her turmoil" | | 1 | "not quite human" |
| |
| 92.70% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.073 | | wordCount | 932 | | matches | | 0 | "not just threat, but memories of Morris, the partner lost in unsolved mysteries" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 76.89% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 33.29 | | std | 13.95 | | cv | 0.419 | | sampleLengths | | 0 | 48 | | 1 | 39 | | 2 | 33 | | 3 | 36 | | 4 | 41 | | 5 | 42 | | 6 | 64 | | 7 | 34 | | 8 | 54 | | 9 | 27 | | 10 | 42 | | 11 | 29 | | 12 | 37 | | 13 | 37 | | 14 | 10 | | 15 | 14 | | 16 | 13 | | 17 | 25 | | 18 | 26 | | 19 | 18 | | 20 | 20 | | 21 | 18 | | 22 | 51 | | 23 | 28 | | 24 | 18 | | 25 | 23 | | 26 | 55 | | 27 | 50 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 161 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 7 | | totalSentences | 82 | | ratio | 0.085 | | matches | | 0 | "Entering the station, Harlow felt the shift in atmosphere—the air pressed tighter, thicker." | | 1 | "She’d heard tales, of course—whispers of supernatural dealings and forbidden alchemy." | | 2 | "She couldn’t afford to falter now—Morris’s death still haunted her, bound by secrets she was only beginning to unravel." | | 3 | "Harlow advanced, scanning every shadow, each pockmarked stone a potential threat—until she heard it, the low, guttural whisper of something not quite human." | | 4 | "Retreat wasn’t an option—they knew she was here." | | 5 | "He thrust the dagger; she parried, twisting to unbalance him." | | 6 | "Yet, there was belief—a smoldering core where fear could not conquer." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 875 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.03542857142857143 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.012571428571428572 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 11.37 | | std | 5.42 | | cv | 0.476 | | sampleLengths | | 0 | 15 | | 1 | 15 | | 2 | 18 | | 3 | 11 | | 4 | 12 | | 5 | 16 | | 6 | 19 | | 7 | 14 | | 8 | 8 | | 9 | 6 | | 10 | 5 | | 11 | 17 | | 12 | 22 | | 13 | 9 | | 14 | 4 | | 15 | 6 | | 16 | 14 | | 17 | 8 | | 18 | 20 | | 19 | 13 | | 20 | 17 | | 21 | 11 | | 22 | 9 | | 23 | 14 | | 24 | 9 | | 25 | 15 | | 26 | 10 | | 27 | 19 | | 28 | 19 | | 29 | 16 | | 30 | 8 | | 31 | 19 | | 32 | 7 | | 33 | 7 | | 34 | 11 | | 35 | 17 | | 36 | 3 | | 37 | 11 | | 38 | 15 | | 39 | 5 | | 40 | 20 | | 41 | 12 | | 42 | 23 | | 43 | 3 | | 44 | 1 | | 45 | 10 | | 46 | 10 | | 47 | 14 | | 48 | 7 | | 49 | 6 |
| |
| 71.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.45121951219512196 | | totalSentences | 82 | | uniqueOpeners | 37 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 84.86% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 74 | | matches | | 0 | "Her quarry, a shadowy figure" | | 1 | "She’d received word the clique" | | 2 | "Her salt-and-pepper hair, once meticulously" | | 3 | "He took a sharp left." | | 4 | "She descended swiftly, each step" | | 5 | "She could see why the" | | 6 | "She’d heard tales, of course—whispers" | | 7 | "she muttered under her breath" | | 8 | "She couldn’t afford to falter" | | 9 | "She pushed through after him," | | 10 | "She paced forward." | | 11 | "Her heart hammered in her" | | 12 | "She stepped back, the handle" | | 13 | "She edged closer." | | 14 | "Her suspect talked, a hurried" | | 15 | "He sported the scars of" | | 16 | "his voice slid like venom" | | 17 | "he sneered, reaching for a" | | 18 | "They struggled, grappling across the" | | 19 | "He thrust the dagger; she" |
| | ratio | 0.338 | |
| 41.08% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 74 | | matches | | 0 | "Rain pummeled the streets of" | | 1 | "Detective Harlow Quinn's breath misted" | | 2 | "Her quarry, a shadowy figure" | | 3 | "The suspect’s movements were erratic," | | 4 | "She’d received word the clique" | | 5 | "Harlow’s voice cut through the" | | 6 | "Her salt-and-pepper hair, once meticulously" | | 7 | "The suspect glanced back, just" | | 8 | "Brown eyes met the desperate" | | 9 | "He took a sharp left." | | 10 | "Harlow's leather watch smacked her" | | 11 | "The alley led to a" | | 12 | "The suspect’s heels were just" | | 13 | "Harlow’s instincts screamed danger." | | 14 | "She descended swiftly, each step" | | 15 | "She could see why the" | | 16 | "She’d heard tales, of course—whispers" | | 17 | "Harlow’s fingers brushed the hidden" | | 18 | "The bone token she acquired" | | 19 | "Torches, flickering with unnatural light," |
| | ratio | 0.838 | |
| 67.57% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 74 | | matches | | 0 | "Yet, there was belief—a smoldering" |
| | ratio | 0.014 | |
| 57.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 5 | | matches | | 0 | "A merchant hawked glowing vials that exuded a sickly sweet scent, while another displayed a trove of cursed trinkets." | | 1 | "The echo of her footsteps played tricks, as if someone or something might leap forth." | | 2 | "Harlow spun, arm swinging to grasp the suspect but revealing only the torch flickering fiercely as if sensing her turmoil." | | 3 | "With a final surge, Harlow twisted the dagger from his grip, sending it skittering into the darkness." | | 4 | "The rain outside had changed from a force of nature to an entity that cleansed, heralding each step forward as closer to clarity." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "he sneered (sneer)" |
| | dialogueSentences | 11 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 1 | | effectiveRatio | 0.364 | |