| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "She crouched again [again]" |
| | dialogueSentences | 40 | | tagDensity | 0.425 | | leniency | 0.85 | | rawRatio | 0.059 | | effectiveRatio | 0.05 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1155 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 65.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1155 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "traced" | | 1 | "weight" | | 2 | "silk" | | 3 | "etched" | | 4 | "quivered" | | 5 | "warmth" |
| |
| 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 | 75 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 75 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1160 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 846 | | uniqueNames | 5 | | maxNameDensity | 0.83 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 7 | | Aldous | 1 | | Pryce | 6 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Pryce" |
| | places | (empty) | | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.862 | | wordCount | 1160 | | matches | | 0 | "not piece by piece, but all at once, letting the wrongness assemble itself" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 98 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 27.62 | | std | 22.45 | | cv | 0.813 | | sampleLengths | | 0 | 63 | | 1 | 31 | | 2 | 18 | | 3 | 55 | | 4 | 18 | | 5 | 3 | | 6 | 42 | | 7 | 8 | | 8 | 5 | | 9 | 2 | | 10 | 8 | | 11 | 47 | | 12 | 51 | | 13 | 7 | | 14 | 25 | | 15 | 6 | | 16 | 13 | | 17 | 55 | | 18 | 57 | | 19 | 3 | | 20 | 7 | | 21 | 65 | | 22 | 6 | | 23 | 16 | | 24 | 10 | | 25 | 50 | | 26 | 54 | | 27 | 10 | | 28 | 42 | | 29 | 5 | | 30 | 3 | | 31 | 33 | | 32 | 13 | | 33 | 33 | | 34 | 30 | | 35 | 92 | | 36 | 51 | | 37 | 6 | | 38 | 27 | | 39 | 5 | | 40 | 45 | | 41 | 40 |
| |
| 91.23% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 75 | | matches | | 0 | "was contained" | | 1 | "been poured" | | 2 | "been sealed" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 139 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 98 | | ratio | 0.082 | | matches | | 0 | "There was a smell here she couldn't place — beneath the mildew and the iron tang of blood, something sweeter." | | 1 | "She'd seen enough head wounds to know how they bled — copious, spreading, soaking outward in an irregular halo." | | 2 | "Tucked into the breast pocket, half-hidden, something caught the light — a dull gleam of metal gone green at the edges." | | 3 | "South, the tunnel — always the tunnel." | | 4 | "\"And what's a man like this—\" she nodded at the overcoat, the manicured hands, the absence of any cheap thing on him \"—doing dead in a station that's been sealed since the Blitz?\"" | | 5 | "He rarely did, which was why she liked working with him; he asked the wrong questions loud enough that she could hear the right ones underneath." | | 6 | "She stood and surveyed the scene whole, the way she'd taught herself to do over eighteen years — not piece by piece, but all at once, letting the wrongness assemble itself." | | 7 | "Morris, her partner, gone — not dead, not alive, simply absent, with a smell like this one hanging in the room and no explanation that fit inside a report." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 650 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.02 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0015384615384615385 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 11.84 | | std | 9.1 | | cv | 0.769 | | sampleLengths | | 0 | 14 | | 1 | 22 | | 2 | 27 | | 3 | 13 | | 4 | 18 | | 5 | 18 | | 6 | 26 | | 7 | 14 | | 8 | 2 | | 9 | 2 | | 10 | 11 | | 11 | 2 | | 12 | 16 | | 13 | 3 | | 14 | 20 | | 15 | 22 | | 16 | 8 | | 17 | 5 | | 18 | 2 | | 19 | 8 | | 20 | 12 | | 21 | 8 | | 22 | 16 | | 23 | 1 | | 24 | 1 | | 25 | 9 | | 26 | 10 | | 27 | 36 | | 28 | 5 | | 29 | 7 | | 30 | 17 | | 31 | 8 | | 32 | 4 | | 33 | 2 | | 34 | 6 | | 35 | 7 | | 36 | 4 | | 37 | 15 | | 38 | 20 | | 39 | 2 | | 40 | 14 | | 41 | 14 | | 42 | 9 | | 43 | 19 | | 44 | 4 | | 45 | 1 | | 46 | 10 | | 47 | 3 | | 48 | 7 | | 49 | 12 |
| |
| 74.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.46938775510204084 | | totalSentences | 98 | | uniqueOpeners | 46 | |
| 51.28% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 65 | | matches | | 0 | "Somewhere down the tunnel, water" |
| | ratio | 0.015 | |
| 90.77% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 65 | | matches | | 0 | "She didn't look up" | | 1 | "She pressed her thumb against" | | 2 | "She set the wrist down" | | 3 | "She let the word sit" | | 4 | "She walked the platform's length," | | 5 | "She'd seen enough head wounds" | | 6 | "He came, boots slapping the" | | 7 | "She swung her arm toward" | | 8 | "She crouched again, this time" | | 9 | "She drew it out." | | 10 | "It quivered, swung, and settled" | | 11 | "She tilted it left." | | 12 | "She faced the stairs." | | 13 | "She closed her fist around" | | 14 | "she nodded at the overcoat," | | 15 | "He rarely did, which was" | | 16 | "She stood and surveyed the" | | 17 | "She'd buried that case in" | | 18 | "Her voice came level, cold" | | 19 | "She slipped the compass into" |
| | ratio | 0.323 | |
| 36.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 65 | | matches | | 0 | "The rain had stopped an" | | 1 | "Water traced the cracked tiles," | | 2 | "Detective Harlow Quinn stood at" | | 3 | "Sergeant Aldous Pryce nodded at" | | 4 | "Quinn descended the last two" | | 5 | "The dead man lay face-up" | | 6 | "The forensic photographer's flash painted" | | 7 | "The leather of her worn" | | 8 | "Pryce gestured at the man's" | | 9 | "She didn't look up" | | 10 | "Quinn allowed herself a thin" | | 11 | "The skin had gone the" | | 12 | "She pressed her thumb against" | | 13 | "She set the wrist down" | | 14 | "Quinn rose and stepped over" | | 15 | "Pryce shifted his weight." | | 16 | "She let the word sit" | | 17 | "The work lights hummed." | | 18 | "The scent of air after" | | 19 | "She walked the platform's length," |
| | ratio | 0.846 | |
| 76.92% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 65 | | matches | | 0 | "As though the blood had" |
| | ratio | 0.015 | |
| 66.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 3 | | matches | | 0 | "Mid-thirties, well-dressed, the kind of overcoat that cost more than a constable's monthly wage." | | 1 | "She walked the platform's length, counting tiles, reading the wet floor like a page." | | 2 | "And beneath all of it, that sweetness in the air, that lightning smell, and a brass needle pointing at the dark with the certainty of a thing that knew where it…" |
| |
| 66.18% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 2 | | matches | | 0 | "She closed, and the metal was warm, warmer than a dead man's pocket had any right to make it" | | 1 | "Her voice came, cold" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.05 | | leniency | 0.1 | | rawRatio | 0 | | effectiveRatio | 0 | |