| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1001 | | 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) | |
| 20.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1001 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "fractured" | | 1 | "pulsed" | | 2 | "structure" | | 3 | "throb" | | 4 | "pulse" | | 5 | "trembled" | | 6 | "flickered" | | 7 | "complex" | | 8 | "tension" | | 9 | "anticipation" | | 10 | "weight" | | 11 | "whisper" | | 12 | "familiar" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 189 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 189 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 198 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 11 | | markdownWords | 24 | | totalWords | 989 | | ratio | 0.024 | | matches | | 0 | "Points to what bleeds between worlds" | | 1 | "Not for tourists" | | 2 | "leading" | | 3 | "anchoring" | | 4 | "Something inside was trying to get out." | | 5 | "paced" | | 6 | "clicked" | | 7 | "inside" | | 8 | "Harlow" | | 9 | "Harley." | | 10 | "Exit" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 93.18% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 880 | | uniqueNames | 18 | | maxNameDensity | 1.14 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 10 | | Callum | 1 | | Reed | 9 | | Veil | 2 | | Compass | 1 | | Shade | 1 | | Soho | 1 | | Charing | 1 | | Cross | 1 | | Road | 1 | | Morris | 2 | | Tower | 1 | | Bridge | 1 | | Three | 3 | | Codex | 1 | | Market | 2 | | Like | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Reed" | | 3 | "Morris" | | 4 | "Three" | | 5 | "Like" |
| | places | | 0 | "Compass" | | 1 | "Soho" | | 2 | "Charing" | | 3 | "Cross" | | 4 | "Road" | | 5 | "Tower" | | 6 | "Bridge" | | 7 | "Codex" |
| | globalScore | 0.932 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like rain on stone" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 989 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 198 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 85 | | mean | 11.64 | | std | 12.68 | | cv | 1.09 | | sampleLengths | | 0 | 11 | | 1 | 34 | | 2 | 3 | | 3 | 4 | | 4 | 53 | | 5 | 34 | | 6 | 26 | | 7 | 52 | | 8 | 22 | | 9 | 20 | | 10 | 21 | | 11 | 6 | | 12 | 8 | | 13 | 49 | | 14 | 5 | | 15 | 24 | | 16 | 12 | | 17 | 3 | | 18 | 5 | | 19 | 7 | | 20 | 4 | | 21 | 32 | | 22 | 27 | | 23 | 5 | | 24 | 7 | | 25 | 12 | | 26 | 28 | | 27 | 2 | | 28 | 44 | | 29 | 9 | | 30 | 5 | | 31 | 3 | | 32 | 7 | | 33 | 24 | | 34 | 25 | | 35 | 6 | | 36 | 9 | | 37 | 4 | | 38 | 1 | | 39 | 5 | | 40 | 6 | | 41 | 18 | | 42 | 2 | | 43 | 47 | | 44 | 6 | | 45 | 5 | | 46 | 24 | | 47 | 5 | | 48 | 26 | | 49 | 12 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 189 | | matches | | 0 | "been pulled" | | 1 | "been torn" |
| |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 153 | | matches | | 0 | "wasn’t *leading" | | 1 | "was *anchoring" | | 2 | "was failing" | | 3 | "was trying" | | 4 | "was failing" |
| |
| 12.99% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 198 | | ratio | 0.045 | | matches | | 0 | "Avian—maybe owl, given the hollow curve." | | 1 | "Time stuttered—11:47 one second, 11:48 the next, then back." | | 2 | "She stepped over a coil of thick rope—tarred, black, stinking of brine." | | 3 | "Three strands, each tied in complex knots—figure-eights fused with loops like nooses, interlaced with bone beads." | | 4 | "And the stain—she saw the shape now." | | 5 | "There—near the knot—fibre caught on a splinter." | | 6 | "DS Morris—her partner—dragged into a service tunnel beneath Tower Bridge." | | 7 | "A gust rushed through the chamber—though there was no vent, no draft." | | 8 | "A hand—pale, too long-fingered—slid through." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 896 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.026785714285714284 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0011160714285714285 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 198 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 198 | | mean | 4.99 | | std | 3.86 | | cv | 0.773 | | sampleLengths | | 0 | 11 | | 1 | 5 | | 2 | 8 | | 3 | 2 | | 4 | 2 | | 5 | 6 | | 6 | 3 | | 7 | 1 | | 8 | 4 | | 9 | 3 | | 10 | 3 | | 11 | 4 | | 12 | 6 | | 13 | 11 | | 14 | 2 | | 15 | 12 | | 16 | 12 | | 17 | 7 | | 18 | 1 | | 19 | 1 | | 20 | 1 | | 21 | 6 | | 22 | 5 | | 23 | 3 | | 24 | 5 | | 25 | 9 | | 26 | 6 | | 27 | 11 | | 28 | 15 | | 29 | 3 | | 30 | 12 | | 31 | 8 | | 32 | 10 | | 33 | 2 | | 34 | 2 | | 35 | 15 | | 36 | 6 | | 37 | 16 | | 38 | 3 | | 39 | 1 | | 40 | 4 | | 41 | 2 | | 42 | 10 | | 43 | 10 | | 44 | 3 | | 45 | 4 | | 46 | 4 | | 47 | 4 | | 48 | 2 | | 49 | 2 |
| |
| 77.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.47474747474747475 | | totalSentences | 198 | | uniqueOpeners | 94 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 130 | | matches | | 0 | "More like oil slicked with" | | 1 | "Then lost five minutes of" | | 2 | "Just a smear of something" | | 3 | "Still pointing into the wall." | | 4 | "Then a whisper." |
| | ratio | 0.038 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 130 | | matches | | 0 | "She crouched, gloved fingers brushing" | | 1 | "She lifted it." | | 2 | "It wasn’t supposed to." | | 3 | "She glanced at her left" | | 4 | "She stepped over a coil" | | 5 | "She pulled a small brass" | | 6 | "She held it still." | | 7 | "It pointed straight into the" | | 8 | "She’d bought the thing three" | | 9 | "It was *anchoring* it." | | 10 | "They ended in clean cuts," | | 11 | "She focused on the rope." | | 12 | "She remembered a case." | | 13 | "They found his radio." | | 14 | "She hadn’t believed it then." | | 15 | "She didn’t now." | | 16 | "His torch light caught something" | | 17 | "She looked at the compass" | | 18 | "She raised a hand." | | 19 | "She thought of the bone" |
| | ratio | 0.154 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 130 | | matches | | 0 | "The bone snapped underfoot with" | | 1 | "Detective Harlow Quinn didn’t flinch." | | 2 | "She crouched, gloved fingers brushing" | | 3 | "Avian—maybe owl, given the hollow" | | 4 | "She lifted it." | | 5 | "The tunnel breathed." | | 6 | "It wasn’t supposed to." | | 7 | "Quinn straightened, her sharp jaw" | | 8 | "The walls of the abandoned" | | 9 | "A low thrum beneath the" | | 10 | "Fungal blooms the colour of" | | 11 | "She glanced at her left" | | 12 | "The leather strap was damp." | | 13 | "The watch face had fogged." | | 14 | "Time stuttered—11:47 one second, 11:48" | | 15 | "Quinn didn’t answer." | | 16 | "She stepped over a coil" | | 17 | "The rope led to a" | | 18 | "Quinn knelt again." | | 19 | "The stain wasn't flat." |
| | ratio | 0.585 | |
| 76.92% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 130 | | matches | | 0 | "Now the needle trembled, insistent." | | 1 | "Now it *paced*." |
| | ratio | 0.015 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.231 | | leniency | 0.462 | | rawRatio | 0 | | effectiveRatio | 0 | |