| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 78 | | tagDensity | 0.282 | | leniency | 0.564 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2098 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "lazily" | | 1 | "lightly" | | 2 | "slowly" | | 3 | "very" |
| |
| 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) | |
| 49.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2098 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | word | "carried the weight" | | count | 1 |
| | 12 | | | 13 | |
| | highlights | | 0 | "etched" | | 1 | "measured" | | 2 | "calculate" | | 3 | "magnetic" | | 4 | "perfect" | | 5 | "pulse" | | 6 | "footsteps" | | 7 | "echoed" | | 8 | "silence" | | 9 | "database" | | 10 | "whisper" | | 11 | "carried the weight" | | 12 | "quivered" | | 13 | "rhythmic" |
| |
| 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 | 149 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 149 | | filterMatches | (empty) | | hedgeMatches | | |
| 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 | 64 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2108 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 60 | | wordCount | 1385 | | uniqueNames | 17 | | maxNameDensity | 1.37 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Eva" | | discoveredNames | | Chapter | 1 | | Compass | 1 | | Corpse | 1 | | Harlow | 1 | | Quinn | 19 | | Camden | 2 | | Town | 2 | | Parrish | 8 | | Victorian-era | 1 | | Seven | 3 | | Barclays | 1 | | Thomas | 4 | | Hale | 4 | | National | 1 | | Rail | 1 | | Eva | 9 | | Kowalski | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Parrish" | | 3 | "Thomas" | | 4 | "Hale" | | 5 | "Eva" | | 6 | "Kowalski" |
| | places | | 0 | "Compass" | | 1 | "Camden" | | 2 | "Town" |
| | globalScore | 0.814 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 95 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2108 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 201 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 93 | | mean | 22.67 | | std | 21.6 | | cv | 0.953 | | sampleLengths | | 0 | 7 | | 1 | 7 | | 2 | 52 | | 3 | 29 | | 4 | 62 | | 5 | 18 | | 6 | 14 | | 7 | 52 | | 8 | 2 | | 9 | 38 | | 10 | 5 | | 11 | 15 | | 12 | 34 | | 13 | 9 | | 14 | 28 | | 15 | 2 | | 16 | 44 | | 17 | 70 | | 18 | 11 | | 19 | 13 | | 20 | 2 | | 21 | 75 | | 22 | 4 | | 23 | 4 | | 24 | 4 | | 25 | 47 | | 26 | 4 | | 27 | 51 | | 28 | 4 | | 29 | 4 | | 30 | 5 | | 31 | 35 | | 32 | 53 | | 33 | 14 | | 34 | 44 | | 35 | 18 | | 36 | 3 | | 37 | 29 | | 38 | 45 | | 39 | 63 | | 40 | 13 | | 41 | 65 | | 42 | 1 | | 43 | 28 | | 44 | 13 | | 45 | 19 | | 46 | 4 | | 47 | 36 | | 48 | 46 | | 49 | 15 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 149 | | matches | | 0 | "was etched" | | 1 | "been retrieved" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 219 | | matches | (empty) | |
| 71.78% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 201 | | ratio | 0.025 | | matches | | 0 | "The Camden Town station — decommissioned since the seventies — smelled of rust, standing water, and something else." | | 1 | "Half the station name — CAMDEN T — still clung to the wall in faded serif lettering." | | 2 | "Wallet in the inner pocket — she'd checked — containing two hundred pounds in cash, a Barclays debit card in the name of Thomas Hale, and a National Rail card that had expired three months ago." | | 3 | "She pried the fingers apart — rigor hadn't fully set in, which put time of death somewhere between midnight and four in the morning — and freed the object from his grip." | | 4 | "Not disconnected — Eva was still there, Quinn could hear her breathing — but silent in the way a person goes silent when they're deciding how much truth to share." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1380 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 53 | | adverbRatio | 0.03840579710144928 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.012318840579710146 | |
| 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 | 10.49 | | std | 9.95 | | cv | 0.949 | | sampleLengths | | 0 | 14 | | 1 | 20 | | 2 | 18 | | 3 | 14 | | 4 | 14 | | 5 | 15 | | 6 | 24 | | 7 | 13 | | 8 | 17 | | 9 | 8 | | 10 | 11 | | 11 | 7 | | 12 | 6 | | 13 | 2 | | 14 | 6 | | 15 | 4 | | 16 | 6 | | 17 | 8 | | 18 | 6 | | 19 | 14 | | 20 | 14 | | 21 | 2 | | 22 | 9 | | 23 | 5 | | 24 | 7 | | 25 | 1 | | 26 | 16 | | 27 | 5 | | 28 | 11 | | 29 | 4 | | 30 | 7 | | 31 | 9 | | 32 | 13 | | 33 | 3 | | 34 | 2 | | 35 | 5 | | 36 | 4 | | 37 | 9 | | 38 | 19 | | 39 | 2 | | 40 | 15 | | 41 | 11 | | 42 | 2 | | 43 | 1 | | 44 | 15 | | 45 | 6 | | 46 | 14 | | 47 | 2 | | 48 | 6 | | 49 | 36 |
| |
| 58.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.4129353233830846 | | totalSentences | 201 | | uniqueOpeners | 83 | |
| 54.20% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 123 | | matches | | 0 | "Then Eva spoke, and her" | | 1 | "Somewhere beyond the reach of" |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 123 | | matches | | 0 | "She spoke into her recorder" | | 1 | "Her colleague, DC Parrish, stood" | | 2 | "She looked at the man's" | | 3 | "His fingers were unbroken." | | 4 | "She turned his left hand" | | 5 | "He crossed the platform, his" | | 6 | "He trained his torch where" | | 7 | "She picked one up with" | | 8 | "She held it closer to" | | 9 | "She placed it in an" | | 10 | "she said into the recorder" | | 11 | "They covered the curved ceiling" | | 12 | "They weren't pentagrams or any" | | 13 | "She pried the fingers apart" | | 14 | "She flipped it over." | | 15 | "It pointed with a certainty" | | 16 | "She placed the compass in" | | 17 | "She pulled back the collar" | | 18 | "She knelt again, this time" | | 19 | "She unbuttoned the peacoat and" |
| | ratio | 0.26 | |
| 94.15% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 123 | | matches | | 0 | "# Chapter: The Compass and" | | 1 | "Detective Harlow Quinn crouched beside" | | 2 | "The Camden Town station —" | | 3 | "Something sweet and chemical that" | | 4 | "She spoke into her recorder" | | 5 | "Her colleague, DC Parrish, stood" | | 6 | "The Victorian-era tiles, once white," | | 7 | "The rest had crumbled to" | | 8 | "Parrish's voice bounced off the" | | 9 | "Quinn didn't look at the" | | 10 | "She looked at the man's" | | 11 | "His fingers were unbroken." | | 12 | "She turned his left hand" | | 13 | "The palm bore a fresh" | | 14 | "The skin had blistered and" | | 15 | "He crossed the platform, his" | | 16 | "Quinn glanced at the floor." | | 17 | "He trained his torch where" | | 18 | "She picked one up with" | | 19 | "The carving was precise, the" |
| | ratio | 0.732 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 123 | | matches | (empty) | | ratio | 0 | |
| 30.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 8 | | matches | | 0 | "Wallet in the inner pocket — she'd checked — containing two hundred pounds in cash, a Barclays debit card in the name of Thomas Hale, and a National Rail card t…" | | 1 | "Circles within circles, connected by lines that intersected at angles she couldn't immediately calculate." | | 2 | "The casing carried a patina of verdigris, green-blue with age, and the face was etched with symbols that matched the ones on the walls." | | 3 | "It pointed with a certainty that normal compasses didn't possess in enclosed spaces, surrounded by reinforced steel and electrical infrastructure that should ha…" | | 4 | "The blackened circle had a faint iridescence at its edges, a shimmer that caught the torchlight and scattered it into colours that didn't belong on dead tissue." | | 5 | "His footsteps echoed, then faded, leaving Quinn alone with Thomas Hale and the silence of a place that hadn't seen passengers in fifty years." | | 6 | "Quinn looked at Thomas Hale's slack face, his half-open eyes, the neat arrangement of bone and blood and brass that surrounded him like a ritual." | | 7 | "The compass needle quivered, then steadied, pointing into the black throat of the passage that led deeper underground." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "She spoke (speak)" | | 1 | "she murmured (murmur)" |
| | dialogueSentences | 78 | | tagDensity | 0.077 | | leniency | 0.154 | | rawRatio | 0.333 | | effectiveRatio | 0.051 | |