| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.82% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 927 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "tightly" | | 1 | "slightly" | | 2 | "slowly" |
| |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 927 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "footsteps" | | 1 | "chilled" | | 2 | "reverberated" | | 3 | "quickened" | | 4 | "jaw clenched" | | 5 | "glint" | | 6 | "weight" | | 7 | "flickered" | | 8 | "echoing" | | 9 | "flicker" | | 10 | "vibrated" | | 11 | "glinting" | | 12 | "echoed" | | 13 | "tapestry" | | 14 | "depths" | | 15 | "pounding" | | 16 | "sanctuary" | | 17 | "flicked" | | 18 | "scanning" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 65 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 65 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 68 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 913 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 878 | | uniqueNames | 8 | | maxNameDensity | 0.68 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 6 | | Soho | 1 | | Veil | 1 | | Market | 1 | | Tomás | 1 | | Herrera | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tomás" | | 3 | "Herrera" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 1 | | matches | | 0 | "quite identify, glinting under the candlelight" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 913 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 68 | | matches | (empty) | |
| 78.33% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 36.52 | | std | 15.49 | | cv | 0.424 | | sampleLengths | | 0 | 62 | | 1 | 9 | | 2 | 58 | | 3 | 64 | | 4 | 40 | | 5 | 43 | | 6 | 39 | | 7 | 51 | | 8 | 32 | | 9 | 9 | | 10 | 17 | | 11 | 29 | | 12 | 15 | | 13 | 15 | | 14 | 51 | | 15 | 34 | | 16 | 32 | | 17 | 49 | | 18 | 27 | | 19 | 46 | | 20 | 30 | | 21 | 46 | | 22 | 30 | | 23 | 34 | | 24 | 51 |
| |
| 94.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 65 | | matches | | 0 | "was drowned" | | 1 | "was buried" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 163 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 68 | | ratio | 0.132 | | matches | | 0 | "A faint glint caught her eye near a rusted fire escape—a broken latch, loose enough to lift." | | 1 | "Her senses sharpened, every sound amplified—the drip of water from pipes, the distant clatter of something metal, the muffled heartbeat of her target." | | 2 | "Her target—she recognized the silhouette now—paced near a table stacked with books and odd trinkets." | | 3 | "Quinn’s gaze shifted, taking in the scene—arcane symbols drawn in chalk, broken ceramic shards scattered across the floor." | | 4 | "A flash of metal caught her eye—an object she couldn’t quite identify, glinting under the candlelight." | | 5 | "Quinn moved swiftly, but her ears caught the faintest sounds—footsteps approaching from above, the faint rumble of more than one person." | | 6 | "She hesitated for a second—the chalk symbols, the strange hum, something about this felt even deeper than her suspect." | | 7 | "Her boot scraped the stone as she descended into the abyss, the passage opening into a cavernous space underground—part market, part sanctuary." | | 8 | "Lanterns and flickering candles illuminated stalls stacked with peculiar objects—crystals, vials, forged medals bearing strange sigils." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 892 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.032511210762331835 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007847533632286996 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 68 | | echoCount | 0 | | echoWords | (empty) | |
| 94.83% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 68 | | mean | 13.43 | | std | 5.2 | | cv | 0.387 | | sampleLengths | | 0 | 22 | | 1 | 25 | | 2 | 15 | | 3 | 9 | | 4 | 19 | | 5 | 10 | | 6 | 14 | | 7 | 15 | | 8 | 17 | | 9 | 19 | | 10 | 14 | | 11 | 14 | | 12 | 17 | | 13 | 23 | | 14 | 17 | | 15 | 15 | | 16 | 11 | | 17 | 9 | | 18 | 16 | | 19 | 4 | | 20 | 10 | | 21 | 17 | | 22 | 14 | | 23 | 20 | | 24 | 15 | | 25 | 7 | | 26 | 10 | | 27 | 9 | | 28 | 8 | | 29 | 9 | | 30 | 18 | | 31 | 11 | | 32 | 7 | | 33 | 8 | | 34 | 7 | | 35 | 8 | | 36 | 11 | | 37 | 16 | | 38 | 24 | | 39 | 13 | | 40 | 21 | | 41 | 11 | | 42 | 10 | | 43 | 11 | | 44 | 15 | | 45 | 15 | | 46 | 19 | | 47 | 15 | | 48 | 12 | | 49 | 8 |
| |
| 77.94% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.4852941176470588 | | totalSentences | 68 | | uniqueOpeners | 33 | |
| 51.28% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 65 | | matches | | 0 | "Somewhere in this dark underground," |
| | ratio | 0.015 | |
| 78.46% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 65 | | matches | | 0 | "Her voice reverberated, swallowed by" | | 1 | "She quickened her pace, her" | | 2 | "She darted into the alley," | | 3 | "She hesitated for half a" | | 4 | "She clutched her rain-soaked coat" | | 5 | "Her senses sharpened, every sound" | | 6 | "She gripped her holstered pistol," | | 7 | "Her target—she recognized the silhouette" | | 8 | "she barked, voice echoing in" | | 9 | "they whispered, voice trembling" | | 10 | "Their lips curled into a" | | 11 | "She tightened her grip on" | | 12 | "Her instincts screamed to pursue," | | 13 | "She hesitated for a second—the" | | 14 | "She took a breath, felt" | | 15 | "Her boot scraped the stone" | | 16 | "It was the Veil Market," | | 17 | "She caught sight of Tomás" | | 18 | "His scarred forearm was visible" | | 19 | "She spun around, scanning the" |
| | ratio | 0.354 | |
| 67.69% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 65 | | matches | | 0 | "The rain hammered down in" | | 1 | "The suspect had just slipped" | | 2 | "Quinn’s boots splashed loudly as" | | 3 | "Her voice reverberated, swallowed by" | | 4 | "The figure in front, a" | | 5 | "She quickened her pace, her" | | 6 | "Rain blurred her vision, but" | | 7 | "She darted into the alley," | | 8 | "A faint glint caught her" | | 9 | "She hesitated for half a" | | 10 | "She clutched her rain-soaked coat" | | 11 | "Her senses sharpened, every sound" | | 12 | "The alley morphed into a" | | 13 | "Quinn descended, the faint glow" | | 14 | "The temperature dropped several degrees," | | 15 | "The stairwell ended at a" | | 16 | "Curiosity warred with caution." | | 17 | "She gripped her holstered pistol," | | 18 | "The narrow room beyond was" | | 19 | "An odd hum vibrated through" |
| | ratio | 0.785 | |
| 76.92% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 65 | | matches | | 0 | "Before she could react, a" |
| | ratio | 0.015 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 1 | | matches | | 0 | "The suspect had just slipped past a cluster of dodging pedestrians, disappearing into an alley clogged with garbage bags and puddles that swallowed her footstep…" |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 2 | | matches | | 0 | "she barked, voice echoing in the cramped chamber" | | 1 | "they whispered, voice trembling" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "she barked (bark)" | | 1 | "they whispered (whisper)" |
| | dialogueSentences | 6 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 1 | | effectiveRatio | 0.667 | |