| 82.35% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" | | 1 | "The lie came easily [easily]" |
| | dialogueSentences | 34 | | tagDensity | 0.441 | | leniency | 0.882 | | rawRatio | 0.133 | | effectiveRatio | 0.118 | |
| 78.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2096 | | totalAiIsmAdverbs | 9 | | found | | | highlights | | 0 | "slightly" | | 1 | "lazily" | | 2 | "quickly" | | 3 | "carefully" | | 4 | "very" | | 5 | "sharply" |
| |
| 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) | |
| 61.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2096 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "measured" | | 1 | "echoed" | | 2 | "etched" | | 3 | "scanning" | | 4 | "aligned" | | 5 | "tracing" | | 6 | "perfect" | | 7 | "weight" | | 8 | "pulse" | | 9 | "quickened" | | 10 | "magnetic" | | 11 | "eyebrow" | | 12 | "unwavering" | | 13 | "could feel" |
| |
| 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 | 1 | | narrationSentences | 183 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 183 | | filterMatches | | | hedgeMatches | | 0 | "managed to" | | 1 | "seemed to" | | 2 | "began to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 201 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 2 | | totalWords | 2084 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 1746 | | uniqueNames | 14 | | maxNameDensity | 0.74 | | worstName | "Harlow" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Harlow" | | discoveredNames | | Tube | 1 | | Camden | 1 | | Harlow | 13 | | Quinn | 2 | | Maglite | 1 | | Northern | 1 | | Line | 1 | | Detective | 3 | | Inspector | 1 | | Paul | 1 | | Reeves | 9 | | Morris | 4 | | Kowalski | 1 | | Three | 3 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Inspector" | | 4 | "Paul" | | 5 | "Reeves" | | 6 | "Morris" | | 7 | "Kowalski" | | 8 | "Three" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 126 | | glossingSentenceCount | 2 | | matches | | 0 | "as though listening for a train that would never come" | | 1 | "as though beginning to cataract, while the brown remained clear" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2084 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 201 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 37.89 | | std | 25.44 | | cv | 0.671 | | sampleLengths | | 0 | 93 | | 1 | 70 | | 2 | 18 | | 3 | 63 | | 4 | 32 | | 5 | 28 | | 6 | 53 | | 7 | 64 | | 8 | 82 | | 9 | 15 | | 10 | 65 | | 11 | 87 | | 12 | 9 | | 13 | 39 | | 14 | 8 | | 15 | 56 | | 16 | 50 | | 17 | 63 | | 18 | 3 | | 19 | 12 | | 20 | 48 | | 21 | 16 | | 22 | 27 | | 23 | 18 | | 24 | 37 | | 25 | 52 | | 26 | 6 | | 27 | 61 | | 28 | 5 | | 29 | 5 | | 30 | 76 | | 31 | 21 | | 32 | 56 | | 33 | 11 | | 34 | 18 | | 35 | 36 | | 36 | 31 | | 37 | 52 | | 38 | 22 | | 39 | 46 | | 40 | 3 | | 41 | 11 | | 42 | 43 | | 43 | 102 | | 44 | 59 | | 45 | 55 | | 46 | 31 | | 47 | 13 | | 48 | 11 | | 49 | 18 |
| |
| 82.25% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 12 | | totalSentences | 183 | | matches | | 0 | "been sealed" | | 1 | "was, lit" | | 2 | "been laid" | | 3 | "was loosened" | | 4 | "been etched" | | 5 | "were aligned" | | 6 | "been carried" | | 7 | "been placed" | | 8 | "been wiped" | | 9 | "were etched" | | 10 | "been allowed" | | 11 | "been opened" | | 12 | "being watched" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 305 | | matches | | 0 | "was watching" | | 1 | "was photographing" | | 2 | "was definitely clouding" | | 3 | "was only beginning" |
| |
| 0.71% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 1 | | flaggedSentences | 10 | | totalSentences | 201 | | ratio | 0.05 | | matches | | 0 | "The abandoned Tube station beneath Camden smelled of wet concrete, ozone, and something sharper—burnt copper and old incense." | | 1 | "The victim—a man in his late thirties, expensive coat, handmade shoes—had been laid out with almost ceremonial precision on the exact centre line of the platform." | | 2 | "Protective sigils had been etched into the face—tiny, precise marks that caught the light when she tilted it." | | 3 | "She still woke sometimes with the smell of that place in her nostrils—ozone and incense and something that had no right to exist in this city." | | 4 | "The body had not been carried here; it had been placed." | | 5 | "The interior smelled of parchment and something floral—night-blooming jasmine, perhaps." | | 6 | "He had laughed about it in the canteen—*occult eBay*, he’d called it." | | 7 | "Now the same symbols—faint, almost invisible unless the light hit them at the right angle—were etched into the dead man’s shoes." | | 8 | "Someone had used him—perhaps as a focus, perhaps as a door." | | 9 | "The arrangement, the rings, the cleaned residue, the compass that should not have worked in a place with no magnetic north—all of it spoke of ritual." |
| |
| 94.80% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1763 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 81 | | adverbRatio | 0.04594441293250142 | | lyAdverbCount | 24 | | lyAdverbRatio | 0.013613159387407828 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 201 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 201 | | mean | 10.37 | | std | 7.78 | | cv | 0.75 | | sampleLengths | | 0 | 18 | | 1 | 26 | | 2 | 11 | | 3 | 19 | | 4 | 8 | | 5 | 6 | | 6 | 5 | | 7 | 27 | | 8 | 24 | | 9 | 9 | | 10 | 10 | | 11 | 3 | | 12 | 15 | | 13 | 26 | | 14 | 24 | | 15 | 2 | | 16 | 3 | | 17 | 8 | | 18 | 17 | | 19 | 11 | | 20 | 4 | | 21 | 11 | | 22 | 13 | | 23 | 4 | | 24 | 2 | | 25 | 51 | | 26 | 3 | | 27 | 6 | | 28 | 14 | | 29 | 4 | | 30 | 5 | | 31 | 1 | | 32 | 4 | | 33 | 3 | | 34 | 16 | | 35 | 8 | | 36 | 7 | | 37 | 9 | | 38 | 21 | | 39 | 9 | | 40 | 12 | | 41 | 18 | | 42 | 6 | | 43 | 8 | | 44 | 7 | | 45 | 19 | | 46 | 3 | | 47 | 2 | | 48 | 5 | | 49 | 5 |
| |
| 56.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.373134328358209 | | totalSentences | 201 | | uniqueOpeners | 75 | |
| 80.81% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 165 | | matches | | 0 | "Just that stillness that came" | | 1 | "Exactly seven feet from the" | | 2 | "Then she picked it up," | | 3 | "Somewhere in the tunnels beyond" |
| | ratio | 0.024 | |
| 72.12% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 61 | | totalSentences | 165 | | matches | | 0 | "Her leather-soled boots rang against" | | 1 | "She had seen plenty of" | | 2 | "His tie was loosened, his" | | 3 | "she lied, crouching beside the" | | 4 | "She pulled on nitrile gloves" | | 5 | "he jerked his chin toward" | | 6 | "She studied the dead man’s" | | 7 | "His eyes were open." | | 8 | "She leaned closer." | | 9 | "She made a mental note" | | 10 | "She turned her attention to" | | 11 | "It lay open, its contents" | | 12 | "She had learned caution the" | | 13 | "They had called it gang-related." | | 14 | "She still woke sometimes with" | | 15 | "She stood, scanning the platform" | | 16 | "She walked the length of" | | 17 | "She crouched again, tracing the" | | 18 | "It was too straight." | | 19 | "she said without looking up" |
| | ratio | 0.37 | |
| 81.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 125 | | totalSentences | 165 | | matches | | 0 | "The abandoned Tube station beneath" | | 1 | "Detective Harlow Quinn descended the" | | 2 | "Her leather-soled boots rang against" | | 3 | "The worn watch on her" | | 4 | "The call had come in" | | 5 | "That had been an understatement." | | 6 | "The platform had been sealed" | | 7 | "Harlow’s jaw tightened." | | 8 | "She had seen plenty of" | | 9 | "The victim—a man in his" | | 10 | "Arms crossed over his chest," | | 11 | "The voice belonged to Detective" | | 12 | "His tie was loosened, his" | | 13 | "she lied, crouching beside the" | | 14 | "She pulled on nitrile gloves" | | 15 | "he jerked his chin toward" | | 16 | "Harlow didn’t answer." | | 17 | "She studied the dead man’s" | | 18 | "The features were slack, yet" | | 19 | "His eyes were open." |
| | ratio | 0.758 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 165 | | matches | | 0 | "Because the truth would have" | | 1 | "Now the same symbols—faint, almost" | | 2 | "If anyone could tell them" | | 3 | "As if something inside had" |
| | ratio | 0.024 | |
| 42.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 64 | | technicalSentenceCount | 9 | | matches | | 0 | "Detective Harlow Quinn descended the rusted service stairs with the steady tread of someone who had walked into worse places and expected to walk out again." | | 1 | "Yet here it was, lit by harsh work lamps that threw long, distorted shadows across curving walls still tiled in the original deep green." | | 2 | "Arms crossed over his chest, legs straight, head turned slightly toward the tunnel mouth as though listening for a train that would never come." | | 3 | "The green eye was slightly cloudy, as though beginning to cataract, while the brown remained clear." | | 4 | "Protective sigils had been etched into the face—tiny, precise marks that caught the light when she tilted it." | | 5 | "Three years ago, Morris had been investigating a series of disappearances linked to an underground market that moved every full moon." | | 6 | "The arrangement, the rings, the cleaned residue, the compass that should not have worked in a place with no magnetic north—all of it spoke of ritual." | | 7 | "As if something inside had begun to rot while the rest of him remained untouched." | | 8 | "The compass needle followed her every step, a tiny brass accusation spinning in its verdigris cage, pointing always toward the detective who had finally begun t…" |
| |
| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "She stood, eyes narrowed" | | 1 | "she said, voice steady now" |
| |
| 61.76% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "she lied (lie)" | | 1 | "she murmured (murmur)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 34 | | tagDensity | 0.176 | | leniency | 0.353 | | rawRatio | 0.5 | | effectiveRatio | 0.176 | |