| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 44 | | tagDensity | 0.227 | | leniency | 0.455 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1113 | | 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) | |
| 68.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1113 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "gloom" | | 1 | "glint" | | 2 | "glistening" | | 3 | "etched" | | 4 | "standard" | | 5 | "silence" |
| |
| 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 | 115 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 115 | | filterMatches | | | hedgeMatches | (empty) | |
| 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 | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 5 | | totalWords | 1106 | | ratio | 0.005 | | matches | | 0 | "stained" | | 1 | "plop" | | 2 | "Veil" | | 3 | "happen" | | 4 | "shock" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 802 | | uniqueNames | 6 | | maxNameDensity | 1.62 | | worstName | "Carter" | | maxWindowNameDensity | 3 | | worstWindowName | "Carter" | | discoveredNames | | Tube | 2 | | Quinn | 1 | | Carter | 13 | | Harlow | 10 | | Morris | 1 | | Eva | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Carter" | | 2 | "Harlow" | | 3 | "Morris" | | 4 | "Eva" |
| | places | (empty) | | globalScore | 0.69 | | windowScore | 0.667 | |
| 68.03% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 2 | | matches | | 0 | "quite fear" | | 1 | "something like it before" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.904 | | wordCount | 1106 | | matches | | 0 | "not here yet, but I’d say exsanguination" |
| |
| 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 | 54 | | mean | 20.48 | | std | 16.93 | | cv | 0.827 | | sampleLengths | | 0 | 62 | | 1 | 21 | | 2 | 7 | | 3 | 28 | | 4 | 43 | | 5 | 42 | | 6 | 5 | | 7 | 28 | | 8 | 44 | | 9 | 11 | | 10 | 3 | | 11 | 41 | | 12 | 36 | | 13 | 43 | | 14 | 9 | | 15 | 43 | | 16 | 31 | | 17 | 12 | | 18 | 5 | | 19 | 30 | | 20 | 4 | | 21 | 9 | | 22 | 55 | | 23 | 6 | | 24 | 7 | | 25 | 5 | | 26 | 50 | | 27 | 9 | | 28 | 39 | | 29 | 14 | | 30 | 2 | | 31 | 46 | | 32 | 5 | | 33 | 4 | | 34 | 11 | | 35 | 2 | | 36 | 45 | | 37 | 9 | | 38 | 15 | | 39 | 13 | | 40 | 49 | | 41 | 16 | | 42 | 23 | | 43 | 11 | | 44 | 24 | | 45 | 11 | | 46 | 10 | | 47 | 4 | | 48 | 2 | | 49 | 3 |
| |
| 93.06% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 115 | | matches | | 0 | "was frozen" | | 1 | "was etched" | | 2 | "were lit" | | 3 | "been scrubbed" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 139 | | matches | (empty) | |
| 64.58% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 146 | | ratio | 0.027 | | matches | | 0 | "Her torchlight landed on the body first—a man in a tailored suit, sprawled on his back, one arm outstretched like he’d been reaching for something." | | 1 | "She brought her fingers to her nose—copper, but something else underneath." | | 2 | "The tracks, though—they gleamed wetly in the dim light." | | 3 | "His pockets were turned out—wallet, phone, a set of keys." |
| |
| 88.98% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 809 | | adjectiveStacks | 1 | | stackExamples | | 0 | "illuminating graffiti-scarred walls" |
| | adverbCount | 37 | | adverbRatio | 0.04573547589616811 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.011124845488257108 | |
| 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 | 7.58 | | std | 6 | | cv | 0.791 | | sampleLengths | | 0 | 22 | | 1 | 14 | | 2 | 19 | | 3 | 7 | | 4 | 14 | | 5 | 7 | | 6 | 7 | | 7 | 17 | | 8 | 8 | | 9 | 3 | | 10 | 3 | | 11 | 25 | | 12 | 8 | | 13 | 7 | | 14 | 11 | | 15 | 12 | | 16 | 2 | | 17 | 1 | | 18 | 16 | | 19 | 5 | | 20 | 14 | | 21 | 14 | | 22 | 5 | | 23 | 7 | | 24 | 9 | | 25 | 1 | | 26 | 2 | | 27 | 2 | | 28 | 11 | | 29 | 7 | | 30 | 8 | | 31 | 3 | | 32 | 2 | | 33 | 1 | | 34 | 20 | | 35 | 4 | | 36 | 2 | | 37 | 9 | | 38 | 3 | | 39 | 3 | | 40 | 9 | | 41 | 5 | | 42 | 3 | | 43 | 15 | | 44 | 4 | | 45 | 11 | | 46 | 9 | | 47 | 8 | | 48 | 15 | | 49 | 4 |
| |
| 57.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.363013698630137 | | totalSentences | 146 | | uniqueOpeners | 53 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 89 | | matches | | 0 | "Too polished for a place" | | 1 | "Instead, she reached into her" | | 2 | "Then it slithered into the" | | 3 | "Instead, the symbols radiated outward" | | 4 | "Just a single, oddly smooth" | | 5 | "Then Carter snorted." |
| | ratio | 0.067 | |
| 71.69% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 89 | | matches | | 0 | "She didn’t slow down" | | 1 | "He turned as she approached," | | 2 | "Her torchlight landed on the" | | 3 | "His tie was still knotted," | | 4 | "She crouched, the leather of" | | 5 | "His eyes were wide, pupils" | | 6 | "She reached out, pressed two" | | 7 | "She brought her fingers to" | | 8 | "She stood, wiping her hand" | | 9 | "She swung her torch in" | | 10 | "She stepped closer, toes nearly" | | 11 | "They were *stained*." | | 12 | "She crouched again, dipped her" | | 13 | "It clung to her skin," | | 14 | "She didn’t answer." | | 15 | "She stood, her torch sweeping" | | 16 | "She didn’t have an answer" | | 17 | "Her light caught something near" | | 18 | "She knelt again, careful not" | | 19 | "She pulled a pen from" |
| | ratio | 0.371 | |
| 55.51% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 89 | | matches | | 0 | "The abandoned Tube station reeked" | | 1 | "Harlow Quinn stepped over the" | | 2 | "The beam of her torch" | | 3 | "A uniformed officer nodded at" | | 4 | "She didn’t slow down" | | 5 | "DS Carter stood near the" | | 6 | "He turned as she approached," | | 7 | "Harlow ignored that." | | 8 | "Her torchlight landed on the" | | 9 | "His tie was still knotted," | | 10 | "She crouched, the leather of" | | 11 | "The victim’s face was frozen" | | 12 | "His eyes were wide, pupils" | | 13 | "Carter gestured to the man’s" | | 14 | "Harlow exhaled through her nose." | | 15 | "She reached out, pressed two" | | 16 | "She brought her fingers to" | | 17 | "Something sharp, like ozone after" | | 18 | "She stood, wiping her hand" | | 19 | "She swung her torch in" |
| | ratio | 0.809 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 89 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 3 | | matches | | 0 | "The abandoned Tube station reeked of damp concrete and something older, something that clung to the back of the throat like rust." | | 1 | "His eyes were wide, pupils blown, as if he’d seen something impossible in his last moments." | | 2 | "The casing was etched with strange, angular symbols, the needle twitching erratically, as if caught between directions." |
| |
| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "She stood, her torch sweeping over the platform again" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 44 | | tagDensity | 0.068 | | leniency | 0.136 | | rawRatio | 0 | | effectiveRatio | 0 | |