| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1184 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1184 | | totalAiIsms | 29 | | 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 | |
| | highlights | | 0 | "familiar" | | 1 | "chill" | | 2 | "maw" | | 3 | "tracing" | | 4 | "fleeting" | | 5 | "scanning" | | 6 | "unsettled" | | 7 | "resonated" | | 8 | "traced" | | 9 | "charged" | | 10 | "methodical" | | 11 | "sense of" | | 12 | "apprehension" | | 13 | "mosaic" | | 14 | "silence" | | 15 | "cacophony" | | 16 | "pulse" | | 17 | "racing" | | 18 | "pulsed" | | 19 | "uncanny" | | 20 | "grave" | | 21 | "echoed" | | 22 | "weight" | | 23 | "spectral" | | 24 | "beacon" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 109 | | matches | (empty) | |
| 64.22% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 4 | | narrationSentences | 109 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1185 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 1183 | | uniqueNames | 11 | | maxNameDensity | 0.93 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | London | 1 | | Harlow | 6 | | Quinn | 1 | | Kevlar | 1 | | Silas | 11 | | Met | 1 | | Raven | 1 | | Nest | 1 | | Morris | 3 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Silas" | | 3 | "Met" | | 4 | "Raven" | | 5 | "Morris" |
| | places | | | globalScore | 1 | | windowScore | 0.833 | |
| 7.14% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 4 | | matches | | 0 | "It was as if the alley had swallowed him whole" | | 1 | "quite name ran up her spine, a sensation that had become all too familiar since the incident with Morris" | | 2 | "n, then at the seemingly solid brick wall" | | 3 | "felt like a physical weight" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1185 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 35.67% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 62.37 | | std | 17.14 | | cv | 0.275 | | sampleLengths | | 0 | 69 | | 1 | 70 | | 2 | 63 | | 3 | 55 | | 4 | 66 | | 5 | 73 | | 6 | 83 | | 7 | 81 | | 8 | 11 | | 9 | 60 | | 10 | 53 | | 11 | 49 | | 12 | 42 | | 13 | 54 | | 14 | 71 | | 15 | 81 | | 16 | 67 | | 17 | 51 | | 18 | 86 |
| |
| 89.17% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 109 | | matches | | 0 | "been seen" | | 1 | "were laid" | | 2 | "was known" | | 3 | "was involved" | | 4 | "was gone" |
| |
| 53.48% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 182 | | matches | | 0 | "was beginning" | | 1 | "was escalating" | | 2 | "were slowly turning" | | 3 | "was just beginning" |
| |
| 64.22% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 109 | | ratio | 0.028 | | matches | | 0 | "One moment, a fleeting glimpse of his drab jacket disappearing around a corner; the next, nothing but a dead end, a graffiti-scarred wall rising in her path." | | 1 | "It wasn’t just a good escape; it felt…" | | 2 | "It was thick, heavy, stamped with an emblem she didn’t recognize – a stylized raven in flight." |
| |
| 99.59% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1186 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 48 | | adverbRatio | 0.04047217537942664 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.010961214165261383 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 10.87 | | std | 7.23 | | cv | 0.665 | | sampleLengths | | 0 | 18 | | 1 | 20 | | 2 | 19 | | 3 | 8 | | 4 | 4 | | 5 | 15 | | 6 | 16 | | 7 | 4 | | 8 | 28 | | 9 | 7 | | 10 | 18 | | 11 | 3 | | 12 | 6 | | 13 | 19 | | 14 | 17 | | 15 | 22 | | 16 | 16 | | 17 | 17 | | 18 | 3 | | 19 | 27 | | 20 | 12 | | 21 | 10 | | 22 | 4 | | 23 | 10 | | 24 | 13 | | 25 | 3 | | 26 | 1 | | 27 | 4 | | 28 | 18 | | 29 | 8 | | 30 | 1 | | 31 | 25 | | 32 | 19 | | 33 | 4 | | 34 | 18 | | 35 | 21 | | 36 | 7 | | 37 | 1 | | 38 | 13 | | 39 | 4 | | 40 | 2 | | 41 | 4 | | 42 | 17 | | 43 | 15 | | 44 | 13 | | 45 | 3 | | 46 | 21 | | 47 | 1 | | 48 | 1 | | 49 | 3 |
| |
| 43.12% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.3302752293577982 | | totalSentences | 109 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 99 | | matches | | 0 | "Then, he vanished." | | 1 | "Then she saw it." | | 2 | "Then, a click." |
| | ratio | 0.03 | |
| 78.59% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 99 | | matches | | 0 | "It was the hunt." | | 1 | "Her quarry, a wiry bloke" | | 2 | "She knew the shortcuts, the" | | 3 | "They were laid out in" | | 4 | "She’d spent more time than" | | 5 | "He clambered over overflowing bins," | | 6 | "She spun around, scanning the" | | 7 | "It was as if the" | | 8 | "she muttered, her voice a" | | 9 | "She’d lost him." | | 10 | "It wasn’t just a good" | | 11 | "She moved back towards the" | | 12 | "It was near a section" | | 13 | "She ran her gloved hand" | | 14 | "She pulled it out." | | 15 | "It was thick, heavy, stamped" | | 16 | "It felt ancient, imbued with" | | 17 | "She’d heard whispers of them," | | 18 | "Her military precision, honed by" | | 19 | "it was all starting to" |
| | ratio | 0.354 | |
| 76.16% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 99 | | matches | | 0 | "The rain hammered down, turning" | | 1 | "Detective Harlow Quinn’s boots splashed" | | 2 | "It was the hunt." | | 3 | "Her quarry, a wiry bloke" | | 4 | "A petty thief, he’d been" | | 5 | "Nothing overtly supernatural, yet." | | 6 | "Places Harlow was beginning to" | | 7 | "Silas ducked into a narrow" | | 8 | "Harlow didn’t hesitate." | | 9 | "She knew the shortcuts, the" | | 10 | "They were laid out in" | | 11 | "She’d spent more time than" | | 12 | "The chase led her through" | | 13 | "Silas was fast, agile, clearly" | | 14 | "He clambered over overflowing bins," | | 15 | "Harlow skidded to a halt," | | 16 | "She spun around, scanning the" | | 17 | "It was as if the" | | 18 | "she muttered, her voice a" | | 19 | "She’d lost him." |
| | ratio | 0.768 | |
| 50.51% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 99 | | matches | | | ratio | 0.01 | |
| 55.14% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 7 | | matches | | 0 | "Silas ducked into a narrow alley, a dark maw that reeked of damp brick and something vaguely metallic." | | 1 | "He clambered over overflowing bins, his shadow leaping and contorting in the erratic glow of flickering streetlights." | | 2 | "A prickle of something she couldn't quite name ran up her spine, a sensation that had become all too familiar since the incident with Morris." | | 3 | "It was near a section of the wall that looked subtly different, a patch of brickwork that seemed darker, less worn." | | 4 | "It felt ancient, imbued with a faint hum of energy that resonated against her palm." | | 5 | "She tried again, putting more force into it, her muscles tensing." | | 6 | "The wall, with an almost imperceptible shudder, receded inwards, revealing a gaping, stone-lined passage that plunged downwards into absolute darkness." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | 0 | "she muttered, her voice a low growl against the drumming rain" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |