| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.238 | | leniency | 0.476 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1327 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "suddenly" | | 1 | "cautiously" | | 2 | "slowly" | | 3 | "very" |
| |
| 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 | 1327 | | totalAiIsms | 28 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | word | "practiced ease" | | count | 1 |
| | 25 | | | 26 | |
| | highlights | | 0 | "treacherous" | | 1 | "tracing" | | 2 | "unravel" | | 3 | "familiar" | | 4 | "pounding" | | 5 | "loomed" | | 6 | "gloom" | | 7 | "glinting" | | 8 | "scanned" | | 9 | "stark" | | 10 | "reminder" | | 11 | "testament" | | 12 | "tension" | | 13 | "unwavering" | | 14 | "flicker" | | 15 | "raced" | | 16 | "weight" | | 17 | "sense of" | | 18 | "determined" | | 19 | "anticipation" | | 20 | "navigated" | | 21 | "measured" | | 22 | "flicked" | | 23 | "scanning" | | 24 | "practiced ease" | | 25 | "resolve" | | 26 | "glistening" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | |
| 91.67% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 3 | | narrationSentences | 75 | | matches | | 0 | "t in determination" | | 1 | "e with panic" | | 2 | "a flicker of empathy" |
| |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 75 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1326 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 60.88% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1066 | | uniqueNames | 9 | | maxNameDensity | 1.78 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 3 | | Harlow | 1 | | Quinn | 19 | | Herrera | 10 | | Tube | 1 | | Veil | 5 | | Market | 5 | | Raven | 1 | | Nest | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Market" | | 4 | "Raven" |
| | places | | | globalScore | 0.609 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 1 | | matches | | 0 | "as if searching for the right words" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1326 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 41.44 | | std | 22.38 | | cv | 0.54 | | sampleLengths | | 0 | 80 | | 1 | 69 | | 2 | 63 | | 3 | 59 | | 4 | 78 | | 5 | 71 | | 6 | 71 | | 7 | 81 | | 8 | 58 | | 9 | 20 | | 10 | 17 | | 11 | 35 | | 12 | 17 | | 13 | 32 | | 14 | 15 | | 15 | 48 | | 16 | 23 | | 17 | 28 | | 18 | 55 | | 19 | 24 | | 20 | 14 | | 21 | 62 | | 22 | 45 | | 23 | 45 | | 24 | 14 | | 25 | 15 | | 26 | 22 | | 27 | 29 | | 28 | 45 | | 29 | 7 | | 30 | 51 | | 31 | 33 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 75 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 159 | | matches | | 0 | "were being" | | 1 | "was wearing" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 91 | | ratio | 0.011 | | matches | | 0 | "Stalls lined the walls, their wares glinting in the low light—enchanted goods, alchemical substances, and items that defied explanation." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1027 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.016553067185978577 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.009737098344693282 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 14.57 | | std | 6.37 | | cv | 0.437 | | sampleLengths | | 0 | 16 | | 1 | 16 | | 2 | 21 | | 3 | 27 | | 4 | 15 | | 5 | 11 | | 6 | 19 | | 7 | 24 | | 8 | 17 | | 9 | 2 | | 10 | 28 | | 11 | 16 | | 12 | 16 | | 13 | 12 | | 14 | 3 | | 15 | 17 | | 16 | 11 | | 17 | 22 | | 18 | 22 | | 19 | 17 | | 20 | 17 | | 21 | 18 | | 22 | 15 | | 23 | 19 | | 24 | 19 | | 25 | 15 | | 26 | 7 | | 27 | 16 | | 28 | 18 | | 29 | 15 | | 30 | 17 | | 31 | 13 | | 32 | 15 | | 33 | 13 | | 34 | 3 | | 35 | 20 | | 36 | 13 | | 37 | 16 | | 38 | 29 | | 39 | 13 | | 40 | 7 | | 41 | 8 | | 42 | 9 | | 43 | 10 | | 44 | 25 | | 45 | 17 | | 46 | 10 | | 47 | 22 | | 48 | 6 | | 49 | 9 |
| |
| 52.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.34065934065934067 | | totalSentences | 91 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 79.46% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 74 | | matches | | 0 | "Her worn leather watch, a" | | 1 | "She ignored the discomfort, her" | | 2 | "She had been trailing this" | | 3 | "She pushed harder, her breath" | | 4 | "She had heard whispers of" | | 5 | "It was dangerous territory, but" | | 6 | "She descended the steps two" | | 7 | "She pressed the token into" | | 8 | "She followed, her movements careful" | | 9 | "She passed a stall selling" | | 10 | "She pushed the bookshelf aside" | | 11 | "It was dimly lit, the" | | 12 | "She recognized the decor from" | | 13 | "He turned slowly, his warm" | | 14 | "he said, his voice steady" | | 15 | "He sighed, running a hand" | | 16 | "He hesitated, glancing around the" | | 17 | "She had spent years chasing" | | 18 | "she said, her voice firm" | | 19 | "He nodded, a determined look" |
| | ratio | 0.351 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 74 | | matches | | 0 | "Detective Harlow Quinn moved with" | | 1 | "Her worn leather watch, a" | | 2 | "The suspect, a shadowy figure" | | 3 | "Quinn’s salt-and-pepper hair clung to" | | 4 | "She ignored the discomfort, her" | | 5 | "She had been trailing this" | | 6 | "The supernatural whispers that had" | | 7 | "The suspect glanced back, eyes" | | 8 | "The former paramedic had been" | | 9 | "She pushed harder, her breath" | | 10 | "Herrera veered suddenly, disappearing down" | | 11 | "Quinn hesitated for a fraction" | | 12 | "The Veil Market." | | 13 | "She had heard whispers of" | | 14 | "It was dangerous territory, but" | | 15 | "She descended the steps two" | | 16 | "The token was the key" | | 17 | "The entrance to the Veil" | | 18 | "She pressed the token into" | | 19 | "The air inside was thick" |
| | ratio | 0.932 | |
| 67.57% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 74 | | matches | | | ratio | 0.014 | |
| 30.08% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 9 | | matches | | 0 | "The suspect, a shadowy figure in a dark hoodie, darted ahead, slipping through the narrow alleys with the ease of someone who knew the city’s underbelly intimat…" | | 1 | "She had been trailing this lead for weeks, a thread that might unravel the mystery surrounding her partner’s death." | | 2 | "The supernatural whispers that had haunted her since that night three years ago had led her here, to this chase through the rain-soaked streets." | | 3 | "She pushed harder, her breath coming in controlled bursts, her feet pounding against the wet pavement." | | 4 | "Stalls lined the walls, their wares glinting in the low light—enchanted goods, alchemical substances, and items that defied explanation." | | 5 | "She passed a stall selling vials of glowing liquid, the vendor’s eyes following her with a predatory gleam." | | 6 | "Herrera slipped into a hidden back room, accessible through a bookshelf that swung open with a touch." | | 7 | "He hesitated, glancing around the room as if searching for the right words." | | 8 | "She had spent years chasing shadows, trying to make sense of the supernatural elements that had invaded her life." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, his voice steady despite the tension in the air" | | 1 | "she said, her voice firm" | | 2 | "he asked, his voice smooth and unctuous" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 21 | | tagDensity | 0.19 | | leniency | 0.381 | | rawRatio | 0.25 | | effectiveRatio | 0.095 | |