| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "His laugh rang too [too]" |
| | dialogueSentences | 36 | | tagDensity | 0.389 | | leniency | 0.778 | | rawRatio | 0.071 | | effectiveRatio | 0.056 | |
| 92.66% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1362 | | totalAiIsmAdverbs | 2 | | 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) | |
| 41.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1362 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "echoing" | | 1 | "glint" | | 2 | "weight" | | 3 | "traced" | | 4 | "loomed" | | 5 | "standard" | | 6 | "quivered" | | 7 | "silence" | | 8 | "familiar" | | 9 | "electric" | | 10 | "scanned" | | 11 | "footsteps" | | 12 | "tracing" |
| |
| 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 | 89 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 89 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1371 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 889 | | uniqueNames | 8 | | maxNameDensity | 1.8 | | worstName | "Harlow" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Harlow" | | discoveredNames | | Camden | 1 | | Quinn | 1 | | London | 1 | | Mather | 14 | | Harlow | 16 | | Market | 8 | | Veil | 2 | | Leaning | 1 |
| | persons | | 0 | "Camden" | | 1 | "Quinn" | | 2 | "Mather" | | 3 | "Harlow" | | 4 | "Market" | | 5 | "Leaning" |
| | places | | | globalScore | 0.6 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 1 | | matches | | 0 | "as if offering something" |
| |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.188 | | wordCount | 1371 | | matches | | 0 | "not bored; not tired, but wired" | | 1 | "not tired, but wired" | | 2 | "Not north at all but twitching toward the sealed Market gate" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 111 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 29.17 | | std | 17.04 | | cv | 0.584 | | sampleLengths | | 0 | 85 | | 1 | 49 | | 2 | 33 | | 3 | 52 | | 4 | 19 | | 5 | 19 | | 6 | 28 | | 7 | 48 | | 8 | 46 | | 9 | 8 | | 10 | 25 | | 11 | 47 | | 12 | 46 | | 13 | 27 | | 14 | 55 | | 15 | 9 | | 16 | 34 | | 17 | 26 | | 18 | 8 | | 19 | 47 | | 20 | 9 | | 21 | 25 | | 22 | 12 | | 23 | 36 | | 24 | 25 | | 25 | 7 | | 26 | 28 | | 27 | 46 | | 28 | 9 | | 29 | 10 | | 30 | 26 | | 31 | 51 | | 32 | 35 | | 33 | 11 | | 34 | 18 | | 35 | 20 | | 36 | 22 | | 37 | 19 | | 38 | 10 | | 39 | 41 | | 40 | 17 | | 41 | 5 | | 42 | 16 | | 43 | 47 | | 44 | 25 | | 45 | 43 | | 46 | 47 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 158 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 3 | | flaggedSentences | 10 | | totalSentences | 111 | | ratio | 0.09 | | matches | | 0 | "Harlow clocked it as she walked by: scared, not bored; not tired, but wired." | | 1 | "No sign of panic, though — more resigned." | | 2 | "“Doesn’t look like a struggle.” Harlow traced the spill-pattern of the blood — low head trauma, maybe, but no obvious bruise above the ear." | | 3 | "The platform edge just close enough to be tempting, but he hadn’t fallen; there was no outstretched hand, no scrapes on the shoes." | | 4 | "The old Veil Market gates loomed, chained with three different locks — not standard council issue — and tarnished with something that stunk of burnt rosemary." | | 5 | "Her glove traced the faint scuff marks — boots, by the tread — stopping at a speck of burnished green." | | 6 | "It caught the light, etchings swirling over the glass — a compass, face spattered with marks that darted when her hand shifted." | | 7 | "Above the Market gate, a faint scratch pattern looped along the lintel — new, sharper than the scattered graffiti nearby." | | 8 | "“Not a toy. A tracker. Pointing somewhere it shouldn’t.” Her palm prickled; the sigils caught her skin, cold and electric." | | 9 | "Footsteps clapped behind them — the constable, eager for orders." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 888 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.02927927927927928 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0022522522522522522 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 12.35 | | std | 9.15 | | cv | 0.741 | | sampleLengths | | 0 | 10 | | 1 | 33 | | 2 | 28 | | 3 | 14 | | 4 | 20 | | 5 | 29 | | 6 | 33 | | 7 | 14 | | 8 | 19 | | 9 | 9 | | 10 | 10 | | 11 | 19 | | 12 | 19 | | 13 | 2 | | 14 | 9 | | 15 | 3 | | 16 | 14 | | 17 | 30 | | 18 | 11 | | 19 | 7 | | 20 | 6 | | 21 | 10 | | 22 | 8 | | 23 | 8 | | 24 | 14 | | 25 | 8 | | 26 | 25 | | 27 | 24 | | 28 | 23 | | 29 | 11 | | 30 | 26 | | 31 | 2 | | 32 | 7 | | 33 | 5 | | 34 | 22 | | 35 | 26 | | 36 | 20 | | 37 | 4 | | 38 | 5 | | 39 | 9 | | 40 | 8 | | 41 | 17 | | 42 | 9 | | 43 | 15 | | 44 | 11 | | 45 | 4 | | 46 | 4 | | 47 | 14 | | 48 | 22 | | 49 | 11 |
| |
| 73.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4594594594594595 | | totalSentences | 111 | | uniqueOpeners | 51 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 76.79% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 81 | | matches | | 0 | "She took the stone steps" | | 1 | "Her torch found the glint" | | 2 | "She glanced at Mather, reading" | | 3 | "He pointed at the man’s" | | 4 | "Her own leather watch pinched" | | 5 | "His tie lay neat as" | | 6 | "She straightened and wandered, slow" | | 7 | "Her glove traced the faint" | | 8 | "She pinched it up." | | 9 | "She jerked her chin back" | | 10 | "She popped the pocket edge" | | 11 | "It caught the light, etchings" | | 12 | "His laugh rang too loud" | | 13 | "Her eyes narrowed" | | 14 | "Its patina told a story:" | | 15 | "She sucked in the taste" | | 16 | "She glanced sidewise." | | 17 | "He jerked a thumb behind" | | 18 | "Her lips pressed into a" | | 19 | "She traced with her glove." |
| | ratio | 0.358 | |
| 21.73% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 81 | | matches | | 0 | "Rain slapped the tarmac above" | | 1 | "Harlow Quinn stepped over the" | | 2 | "Harlow clocked it as she" | | 3 | "She took the stone steps" | | 4 | "Her torch found the glint" | | 5 | "Mather spoke with his hands" | | 6 | "Harlow peered over the DS’s" | | 7 | "The light played over the" | | 8 | "Fingers splayed, the palms up," | | 9 | "Blood blossomed beneath his head" | | 10 | "Harlow’s tone smoothed over the" | | 11 | "Harlow’s temple ticked." | | 12 | "She glanced at Mather, reading" | | 13 | "He pointed at the man’s" | | 14 | "Harlow squatted next to the" | | 15 | "Her own leather watch pinched" | | 16 | "His tie lay neat as" | | 17 | "Harlow’s eyes swept the tiles" | | 18 | "Harlow traced the spill-pattern of" | | 19 | "The platform edge just close" |
| | ratio | 0.877 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 50.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 4 | | matches | | 0 | "Her torch found the glint of sweat on the chin of DS Mather, who waited among the loose bricks and the puddles mapped like countries on the cracked linoleum." | | 1 | "The old Veil Market gates loomed, chained with three different locks — not standard council issue — and tarnished with something that stunk of burnt rosemary." | | 2 | "It caught the light, etchings swirling over the glass — a compass, face spattered with marks that darted when her hand shifted." | | 3 | "Her lips pressed into a line that would have cut stone." |
| |
| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 2 | | matches | | 0 | "Harlow murmured, almost to herself" | | 1 | "she observed, voice blunt" |
| |
| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 4 | | fancyTags | | 0 | "Mather spoke (speak)" | | 1 | "Harlow murmured (murmur)" | | 2 | "she murmured (murmur)" | | 3 | "she observed (observe)" |
| | dialogueSentences | 36 | | tagDensity | 0.111 | | leniency | 0.222 | | rawRatio | 1 | | effectiveRatio | 0.222 | |