| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.52 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1318 | | 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) | |
| 16.54% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1318 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "scanning" | | 1 | "rhythmic" | | 2 | "gloom" | | 3 | "fluttered" | | 4 | "weight" | | 5 | "chaotic" | | 6 | "traced" | | 7 | "loomed" | | 8 | "intensity" | | 9 | "flicker" | | 10 | "etched" | | 11 | "intricate" | | 12 | "warmth" | | 13 | "maw" | | 14 | "whisper" | | 15 | "echoing" | | 16 | "racing" |
| |
| 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 | 89 | | matches | (empty) | |
| 46.55% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 5 | | narrationSentences | 89 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1315 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1046 | | uniqueNames | 12 | | maxNameDensity | 1.15 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Tube | 1 | | Camden | 1 | | Harlow | 12 | | Quinn | 2 | | London | 1 | | Miller | 7 | | Morris | 2 | | North | 1 | | Eva | 3 | | Kowalski | 1 | | British | 1 | | Museum | 1 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Miller" | | 4 | "Morris" | | 5 | "Eva" | | 6 | "Kowalski" | | 7 | "Museum" |
| | places | | | globalScore | 0.926 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a veil that had been momentar" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1315 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 100 | | matches | | |
| 97.03% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 37.57 | | std | 18.39 | | cv | 0.49 | | sampleLengths | | 0 | 73 | | 1 | 37 | | 2 | 10 | | 3 | 38 | | 4 | 58 | | 5 | 17 | | 6 | 38 | | 7 | 43 | | 8 | 47 | | 9 | 31 | | 10 | 82 | | 11 | 18 | | 12 | 42 | | 13 | 12 | | 14 | 24 | | 15 | 35 | | 16 | 35 | | 17 | 52 | | 18 | 69 | | 19 | 33 | | 20 | 14 | | 21 | 26 | | 22 | 55 | | 23 | 49 | | 24 | 12 | | 25 | 23 | | 26 | 68 | | 27 | 30 | | 28 | 33 | | 29 | 14 | | 30 | 31 | | 31 | 53 | | 32 | 55 | | 33 | 36 | | 34 | 22 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 89 | | matches | | |
| 48.48% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 176 | | matches | | 0 | "was jarring" | | 1 | "was still pointing" | | 2 | "wasn't just following" | | 3 | "was following" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 5 | | flaggedSentences | 8 | | totalSentences | 100 | | ratio | 0.08 | | matches | | 0 | "He was a man who believed in things he could touch—ballistics, DNA, blood spatter patterns." | | 1 | "She didn't look at the body first; she looked at the floor." | | 2 | "\"He wasn't dragging himself. Look at the fingertip smears. They're too shallow. He wasn't reaching for purchase; something was pulling him toward the darkness.\"" | | 3 | "Instead, the brass was crowded with intricate, swirling sigils—protective runes that seemed to writhe when viewed in her peripheral vision." | | 4 | "The \"struggle\" wasn't a struggle; it was a vacuum." | | 5 | "The blood wasn't a smear; it was a path." | | 6 | "The emptiness of the station didn't feel like an abandoned transit hub; it felt like a veil that had been momentarily torn." | | 7 | "The weight of it was a promise—a promise of the kind of truth that broke people." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1050 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.01904761904761905 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0038095238095238095 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 13.15 | | std | 7.68 | | cv | 0.584 | | sampleLengths | | 0 | 15 | | 1 | 28 | | 2 | 30 | | 3 | 8 | | 4 | 29 | | 5 | 10 | | 6 | 16 | | 7 | 15 | | 8 | 7 | | 9 | 8 | | 10 | 3 | | 11 | 12 | | 12 | 14 | | 13 | 1 | | 14 | 20 | | 15 | 6 | | 16 | 11 | | 17 | 17 | | 18 | 21 | | 19 | 3 | | 20 | 11 | | 21 | 23 | | 22 | 3 | | 23 | 3 | | 24 | 9 | | 25 | 12 | | 26 | 26 | | 27 | 14 | | 28 | 17 | | 29 | 3 | | 30 | 6 | | 31 | 12 | | 32 | 7 | | 33 | 11 | | 34 | 3 | | 35 | 2 | | 36 | 2 | | 37 | 13 | | 38 | 23 | | 39 | 8 | | 40 | 10 | | 41 | 11 | | 42 | 31 | | 43 | 12 | | 44 | 24 | | 45 | 16 | | 46 | 13 | | 47 | 6 | | 48 | 4 | | 49 | 12 |
| |
| 37.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.32323232323232326 | | totalSentences | 99 | | uniqueOpeners | 32 | |
| 40.65% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 82 | | matches | | 0 | "Instead, the brass was crowded" |
| | ratio | 0.012 | |
| 49.27% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 82 | | matches | | 0 | "It was a heavy, suffocating" | | 1 | "She stepped over a rusted" | | 2 | "He was a man who" | | 3 | "He believed in the physics" | | 4 | "She didn't rush." | | 5 | "She moved with a military" | | 6 | "Her voice was low, steady," | | 7 | "It looked textbook." | | 8 | "It looked easy." | | 9 | "She didn't look at the" | | 10 | "She crouched, her sharp jawline" | | 11 | "She ignored the body for" | | 12 | "Her mind drifted, unbidden, to" | | 13 | "She pushed the memory down," | | 14 | "She moved toward the edge" | | 15 | "she said, pointing to the" | | 16 | "She pulled a small, high-intensity" | | 17 | "It wasn't the dull grey" | | 18 | "It was a flicker of" | | 19 | "She knelt, her movements slow" |
| | ratio | 0.427 | |
| 27.07% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 82 | | matches | | 0 | "The air in the abandoned" | | 1 | "It was a heavy, suffocating" | | 2 | "She stepped over a rusted" | | 3 | "Detective Miller stood near the" | | 4 | "He was a man who" | | 5 | "He believed in the physics" | | 6 | "Harlow approached, her silhouette sharp" | | 7 | "She didn't rush." | | 8 | "She moved with a military" | | 9 | "The graveyard shift was in" | | 10 | "Her voice was low, steady," | | 11 | "Miller said, gesturing vaguely toward" | | 12 | "Harlow looked down." | | 13 | "The victim lay sprawled near" | | 14 | "A smear of blood traced" | | 15 | "It looked textbook." | | 16 | "It looked easy." | | 17 | "Harlow leaned in, her brown" | | 18 | "She didn't look at the" | | 19 | "Miller countered, rubbing the back" |
| | ratio | 0.866 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 82 | | matches | | 0 | "Even in the gloom, the" | | 1 | "Now that she held the" |
| | ratio | 0.024 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 11 | | matches | | 0 | "It was a heavy, suffocating heat that clung to the back of Harlow Quinn's throat, flavored by decades of rust and the damp rot of the London underground." | | 1 | "She stepped over a rusted rail, her boots crunching on grit and broken glass, her eyes scanning the darkness with the practiced, rhythmic precision of eighteen …" | | 2 | "Yellow police tape fluttered in a draft that shouldn't have existed in a sealed tunnel, and the harsh, oscillating beams of forensic lights cut through the shad…" | | 3 | "He was a man who believed in things he could touch—ballistics, DNA, blood spatter patterns." | | 4 | "It spun erratically for a moment before snapping violently toward the throat of the tunnel, trembling with an intensity that made the brass casing warm against …" | | 5 | "The emptiness of the station didn't feel like an abandoned transit hub; it felt like a veil that had been momentarily torn." | | 6 | "She felt a sudden, overwhelming urge to find someone who understood the language of these symbols." | | 7 | "Eva, with her round glasses and her worn leather satchel, the woman who spent her days in the restricted archives of the British Museum, translating things that…" | | 8 | "The weight of it was a promise—a promise of the kind of truth that broke people." | | 9 | "The compass in her pocket hummed, a low, vibrating song that matched the thrum of her own racing heart." | | 10 | "She was following a trail of breadcrumbs left by something that lived in the spaces between breaths, in the places where the light of the world failed to reach." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 4 | | matches | | 0 | "Harlow leaned in, her brown eyes narrowing" | | 1 | "Miller suggested, though his voice lacked conviction" | | 2 | "Harlow commanded, her voice regaining its authority" | | 3 | "Miller asked, his voice dropping to a cautious whisper" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 4 | | fancyTags | | 0 | "Miller suggested (suggest)" | | 1 | "Harlow whispered (whisper)" | | 2 | "Miller sighed (sigh)" | | 3 | "she snapped (snap)" |
| | dialogueSentences | 25 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.4 | | effectiveRatio | 0.32 | |