| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said softly [softly]" |
| | dialogueSentences | 26 | | tagDensity | 0.654 | | leniency | 1 | | rawRatio | 0.059 | | effectiveRatio | 0.059 | |
| 95.16% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1034 | | 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) | |
| 41.97% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1034 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "pulse" | | 1 | "flickered" | | 2 | "etched" | | 3 | "glint" | | 4 | "echoed" | | 5 | "beacon" | | 6 | "flicker" | | 7 | "glistening" | | 8 | "pulsed" | | 9 | "flicked" | | 10 | "depths" |
| |
| 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 | 135 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 135 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 144 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 12 | | markdownWords | 13 | | totalWords | 1029 | | ratio | 0.013 | | matches | | 0 | "he" | | 1 | "Alive" | | 2 | "wings?" | | 3 | "veil" | | 4 | "clicked" | | 5 | "bubbled" | | 6 | "Their" | | 7 | "already tethered" | | 8 | "screamed" | | 9 | "screamed" | | 10 | "shifted" | | 11 | "feeding" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 24.25% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 835 | | uniqueNames | 14 | | maxNameDensity | 2.51 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 21 | | Neville | 9 | | Whitechapel | 1 | | Wallet | 1 | | Tube | 1 | | Greek | 1 | | Veil | 4 | | Compass | 3 | | Market | 1 | | Bethnal | 1 | | Green | 1 | | Eva | 11 | | Kowalski | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Neville" | | 3 | "Wallet" | | 4 | "Compass" | | 5 | "Market" | | 6 | "Eva" | | 7 | "Kowalski" |
| | places | | | globalScore | 0.243 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a child’s toy" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1029 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 144 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 21.89 | | std | 14.53 | | cv | 0.664 | | sampleLengths | | 0 | 37 | | 1 | 45 | | 2 | 32 | | 3 | 54 | | 4 | 51 | | 5 | 11 | | 6 | 36 | | 7 | 18 | | 8 | 5 | | 9 | 48 | | 10 | 36 | | 11 | 19 | | 12 | 50 | | 13 | 14 | | 14 | 8 | | 15 | 8 | | 16 | 30 | | 17 | 8 | | 18 | 24 | | 19 | 8 | | 20 | 30 | | 21 | 27 | | 22 | 15 | | 23 | 7 | | 24 | 29 | | 25 | 8 | | 26 | 27 | | 27 | 6 | | 28 | 42 | | 29 | 8 | | 30 | 25 | | 31 | 32 | | 32 | 37 | | 33 | 36 | | 34 | 7 | | 35 | 19 | | 36 | 19 | | 37 | 23 | | 38 | 14 | | 39 | 6 | | 40 | 24 | | 41 | 3 | | 42 | 14 | | 43 | 17 | | 44 | 5 | | 45 | 3 | | 46 | 4 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 135 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 144 | | matches | (empty) | |
| 3.97% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 144 | | ratio | 0.049 | | matches | | 0 | "Neville’s beam flickered over the archway ahead—ticket barriers leaning like drunkards, their glass panes long gone." | | 1 | "She’d found traces of it before—items meant to bleed magic from the living, sold to desperate fools." | | 2 | "The flicker of movement in the dark—*wings?*—and the sharp reek of ozone." | | 3 | "A head formed—sleek, glistening, with lidless eyes like molten gold." | | 4 | "Sigils marked it—protection charms." | | 5 | "The needle spun, slashing lines of light across the creature’s bulk, and she saw it then—threads." | | 6 | "Either way—" |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 843 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.027283511269276393 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0071174377224199285 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 144 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 144 | | mean | 7.15 | | std | 5.49 | | cv | 0.768 | | sampleLengths | | 0 | 12 | | 1 | 2 | | 2 | 2 | | 3 | 2 | | 4 | 19 | | 5 | 20 | | 6 | 15 | | 7 | 10 | | 8 | 14 | | 9 | 8 | | 10 | 5 | | 11 | 3 | | 12 | 1 | | 13 | 1 | | 14 | 9 | | 15 | 10 | | 16 | 19 | | 17 | 16 | | 18 | 13 | | 19 | 38 | | 20 | 2 | | 21 | 7 | | 22 | 2 | | 23 | 10 | | 24 | 4 | | 25 | 22 | | 26 | 7 | | 27 | 6 | | 28 | 3 | | 29 | 2 | | 30 | 5 | | 31 | 21 | | 32 | 9 | | 33 | 11 | | 34 | 2 | | 35 | 5 | | 36 | 17 | | 37 | 19 | | 38 | 3 | | 39 | 3 | | 40 | 13 | | 41 | 3 | | 42 | 3 | | 43 | 11 | | 44 | 7 | | 45 | 9 | | 46 | 17 | | 47 | 6 | | 48 | 8 | | 49 | 8 |
| |
| 59.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.4097222222222222 | | totalSentences | 144 | | uniqueOpeners | 59 | |
| 60.61% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 110 | | matches | | 0 | "Only the ashen grey of" | | 1 | "Then collapsed into a pile" |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 110 | | matches | | 0 | "His tie hung loose under" | | 1 | "His Wallet still hung from" | | 2 | "He waited for her to" | | 3 | "She stepped over the corpse," | | 4 | "She palmed the Veil Compass," | | 5 | "She’d found traces of it" | | 6 | "Her hand found her knee" | | 7 | "she said softly" | | 8 | "Her gaze locked on the" | | 9 | "Her satchel creaked as she" | | 10 | "He backed toward the stairs" | | 11 | "She heard the click before" | | 12 | "They fanned out, brushing the" | | 13 | "Her breath hitched as her" | | 14 | "She let it come." |
| | ratio | 0.136 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 88 | | totalSentences | 110 | | matches | | 0 | "Detective Harlow Quinn crouched, her" | | 1 | "DS Neville muttered, stepping into" | | 2 | "His tie hung loose under" | | 3 | "The victim sprawled across the" | | 4 | "His Wallet still hung from" | | 5 | "Quinn’s watch ticked against her" | | 6 | "The abandoned station stank of" | | 7 | "A ghost of a place," | | 8 | "Neville’s beam flickered over the" | | 9 | "Neville said, nodding at the" | | 10 | "He waited for her to" | | 11 | "She stepped over the corpse," | | 12 | "The sigil was fresh." | | 13 | "The stone beneath it still" | | 14 | "Quinn pressed her palm to" | | 15 | "A tremor ran up her" | | 16 | "Quinn turned, her flashlight catching" | | 17 | "She palmed the Veil Compass," | | 18 | "The protective sigils on the" | | 19 | "Neville ran a hand through" |
| | ratio | 0.8 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 110 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 66.18% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 2 | | matches | | 0 | "He waited, but Quinn’s gaze had locked on the wall" | | 1 | "Quinn turned, her flashlight catching the glint of brass at her hip" |
| |
| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "DS Neville muttered (mutter)" | | 1 | "Eva whispered (whisper)" |
| | dialogueSentences | 26 | | tagDensity | 0.269 | | leniency | 0.538 | | rawRatio | 0.286 | | effectiveRatio | 0.154 | |