| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 2 | | adverbTags | | 0 | "Wilkes stepped back [back]" | | 1 | "He gestured around [around]" |
| | dialogueSentences | 65 | | tagDensity | 0.415 | | leniency | 0.831 | | rawRatio | 0.074 | | effectiveRatio | 0.062 | |
| 74.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1545 | | totalAiIsmAdverbs | 8 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
| | 2 | | | 3 | | | 4 | | adverb | "reluctantly" | | count | 1 |
| | 5 | |
| | highlights | | 0 | "carefully" | | 1 | "deliberately" | | 2 | "slightly" | | 3 | "really" | | 4 | "reluctantly" | | 5 | "suddenly" |
| |
| 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) | |
| 80.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1545 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "flickered" | | 1 | "perfect" | | 2 | "etched" | | 3 | "chill" | | 4 | "sense of" | | 5 | "marble" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 110 | | matches | (empty) | |
| 38.96% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 6 | | narrationSentences | 110 | | filterMatches | | | hedgeMatches | | 0 | "appeared to" | | 1 | "seemed to" | | 2 | "started to" | | 3 | "happened to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 146 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1528 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 76.40% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1087 | | uniqueNames | 11 | | maxNameDensity | 1.47 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 16 | | Camden | 2 | | Wilkes | 10 | | Homicide | 1 | | Three | 2 | | Victorian | 1 | | Morris | 2 | | Eva | 1 | | Kowalski | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Camden" | | 3 | "Wilkes" | | 4 | "Morris" | | 5 | "Eva" | | 6 | "Kowalski" |
| | places | | 0 | "Detective" | | 1 | "Homicide" | | 2 | "Three" | | 3 | "Victorian" |
| | globalScore | 0.764 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 78 | | glossingSentenceCount | 5 | | matches | | 0 | "felt like tombs, but abandoned ones wer" | | 1 | "looked like shrunken heads" | | 2 | "quite human moved between stalls selling impossible objects—bottled stars, caged shadows, books whose text shifted as you watched" | | 3 | "nearby vendor—seemingly normal except for e" | | 4 | "tensions were visibly rising" |
| |
| 69.11% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.309 | | wordCount | 1528 | | matches | | 0 | "not north but directly at the deepest part of the tunnel" | | 1 | "Not the typical Camden stalls selling vintage clothes and touristy trinkets, but something altogether different" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 146 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 74 | | mean | 20.65 | | std | 14.47 | | cv | 0.701 | | sampleLengths | | 0 | 55 | | 1 | 20 | | 2 | 33 | | 3 | 30 | | 4 | 30 | | 5 | 12 | | 6 | 24 | | 7 | 7 | | 8 | 5 | | 9 | 67 | | 10 | 2 | | 11 | 35 | | 12 | 12 | | 13 | 20 | | 14 | 10 | | 15 | 18 | | 16 | 36 | | 17 | 3 | | 18 | 49 | | 19 | 30 | | 20 | 7 | | 21 | 7 | | 22 | 19 | | 23 | 3 | | 24 | 13 | | 25 | 9 | | 26 | 18 | | 27 | 36 | | 28 | 22 | | 29 | 62 | | 30 | 12 | | 31 | 10 | | 32 | 22 | | 33 | 26 | | 34 | 6 | | 35 | 34 | | 36 | 13 | | 37 | 3 | | 38 | 18 | | 39 | 2 | | 40 | 6 | | 41 | 36 | | 42 | 40 | | 43 | 43 | | 44 | 34 | | 45 | 16 | | 46 | 16 | | 47 | 23 | | 48 | 26 | | 49 | 32 |
| |
| 98.88% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 110 | | matches | | 0 | "been sealed" | | 1 | "been called" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 191 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 146 | | ratio | 0.068 | | matches | | 0 | "Underground stations always felt like tombs, but abandoned ones were worse—concrete sarcophagi forgotten by the living." | | 1 | "The platform itself was unremarkable—graffiti-covered walls, decades of grime, the usual urban decay." | | 2 | "In the beam of her torch, something glinted—a small brass object wedged between two sleepers." | | 3 | "Then, faintly—voices?" | | 4 | "His last case—the one that killed him—had been full of inconsistencies too." | | 5 | "For a brief moment, she glimpsed what appeared to be a marketplace—stalls lit by floating lanterns, vendors of impossible wares, customers who weren't entirely human." | | 6 | "Beings that weren't quite human moved between stalls selling impossible objects—bottled stars, caged shadows, books whose text shifted as you watched." | | 7 | "A nearby vendor—seemingly normal except for eyes that reflected light like a cat's—noticed her and froze." | | 8 | "Some customers vanished—literally disappeared—while others moved toward her with expressions ranging from curiosity to outright hostility." | | 9 | "The blood pools remained, but somehow she knew the crime scene team would find nothing conclusive—just another unsolved mystery in a city full of them." |
| |
| 85.14% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1101 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 58 | | adverbRatio | 0.05267938237965486 | | lyAdverbCount | 27 | | lyAdverbRatio | 0.02452316076294278 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 146 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 146 | | mean | 10.47 | | std | 6.36 | | cv | 0.607 | | sampleLengths | | 0 | 16 | | 1 | 16 | | 2 | 23 | | 3 | 14 | | 4 | 6 | | 5 | 5 | | 6 | 13 | | 7 | 7 | | 8 | 8 | | 9 | 13 | | 10 | 17 | | 11 | 1 | | 12 | 6 | | 13 | 19 | | 14 | 2 | | 15 | 2 | | 16 | 12 | | 17 | 24 | | 18 | 7 | | 19 | 5 | | 20 | 10 | | 21 | 15 | | 22 | 9 | | 23 | 15 | | 24 | 18 | | 25 | 2 | | 26 | 18 | | 27 | 7 | | 28 | 10 | | 29 | 8 | | 30 | 4 | | 31 | 20 | | 32 | 4 | | 33 | 6 | | 34 | 12 | | 35 | 6 | | 36 | 25 | | 37 | 11 | | 38 | 3 | | 39 | 22 | | 40 | 11 | | 41 | 6 | | 42 | 3 | | 43 | 7 | | 44 | 15 | | 45 | 7 | | 46 | 6 | | 47 | 2 | | 48 | 7 | | 49 | 7 |
| |
| 85.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5342465753424658 | | totalSentences | 146 | | uniqueOpeners | 78 | |
| 67.34% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 99 | | matches | | 0 | "Too eager, too quick to" | | 1 | "Nearly 5 AM." |
| | ratio | 0.02 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 99 | | matches | | 0 | "Her worn leather watch showed" | | 1 | "It pooled in perfect circles" | | 2 | "she asked the forensic technician" | | 3 | "She paced the scene, careful" | | 4 | "She snapped on a latex" | | 5 | "She pocketed it discretely" | | 6 | "She moved past him, studying" | | 7 | "She shook her head" | | 8 | "She pressed her ear to" | | 9 | "she whispered to herself, running" | | 10 | "His last case—the one that" | | 11 | "His final words to her:" | | 12 | "She struck again." | | 13 | "she ordered Wilkes, her voice" | | 14 | "It widened surprisingly easily, as" | | 15 | "She reached instinctively for her" | | 16 | "His skin was pale as" | | 17 | "He gestured around the market" | | 18 | "He gripped her arm with" | | 19 | "She stood alone in the" |
| | ratio | 0.222 | |
| 81.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 99 | | matches | | 0 | "The bone token cut into" | | 1 | "This particular one beneath Camden" | | 2 | "The young constable's torch beam" | | 3 | "Quinn nodded but said nothing." | | 4 | "Her worn leather watch showed" | | 5 | "The platform itself was unremarkable—graffiti—covered" | | 6 | "Lots of it, but all" | | 7 | "It pooled in perfect circles" | | 8 | "she asked the forensic technician" | | 9 | "Quinn stated the obvious" | | 10 | "the tech confirmed" | | 11 | "She paced the scene, careful" | | 12 | "She snapped on a latex" | | 13 | "A compass, its face etched" | | 14 | "The needle spun wildly before" | | 15 | "Quinn turned to find DS" | | 16 | "She pocketed it discretely" | | 17 | "Wilkes smiled with the confidence" | | 18 | "She moved past him, studying" | | 19 | "The question hung in the" |
| | ratio | 0.758 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 99 | | matches | | 0 | "By the time she rejoined" | | 1 | "Because for the first time" |
| | ratio | 0.02 | |
| 96.27% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 3 | | matches | | 0 | "For a brief moment, she glimpsed what appeared to be a marketplace—stalls lit by floating lanterns, vendors of impossible wares, customers who weren't entirely …" | | 1 | "A nearby vendor—seemingly normal except for eyes that reflected light like a cat's—noticed her and froze." | | 2 | "She reached instinctively for her warrant card, as if it offered protection against whatever these creatures were." |
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| 87.96% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 2 | | matches | | 0 | "she ordered, her voice steady despite what she'd seen" | | 1 | "Quinn whispered, the name coming to her from nowhere" |
| |
| 26.92% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 8 | | fancyTags | | 0 | "Quinn stated (state)" | | 1 | "the tech confirmed (confirm)" | | 2 | "she muttered (mutter)" | | 3 | "she whispered (whisper)" | | 4 | "she ordered (order)" | | 5 | "Quinn whispered (whisper)" | | 6 | "the vendor hissed (hiss)" | | 7 | "the pale man murmured (murmur)" |
| | dialogueSentences | 65 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.615 | | effectiveRatio | 0.246 | |