| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 85.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1048 | | totalAiIsmAdverbs | 3 | | 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) | |
| 76.15% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1048 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "flicked" | | 1 | "echo" | | 2 | "footsteps" | | 3 | "mechanical" | | 4 | "flickered" |
| |
| 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 | 73 | | matches | (empty) | |
| 84.15% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 73 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 75 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1048 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1045 | | uniqueNames | 12 | | maxNameDensity | 0.86 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 9 | | Berwick | 1 | | Street | 2 | | Broadwick | 1 | | Soho | 1 | | Tube | 3 | | Morris | 3 | | Deptford | 1 | | English | 1 | | Camden | 1 | | Kentish | 1 | | Town | 1 |
| | persons | | | places | | 0 | "Berwick" | | 1 | "Street" | | 2 | "Broadwick" | | 3 | "Soho" | | 4 | "Deptford" | | 5 | "Kentish" | | 6 | "Town" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1048 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 33.81 | | std | 24.19 | | cv | 0.715 | | sampleLengths | | 0 | 18 | | 1 | 50 | | 2 | 2 | | 3 | 6 | | 4 | 67 | | 5 | 72 | | 6 | 33 | | 7 | 12 | | 8 | 1 | | 9 | 48 | | 10 | 6 | | 11 | 50 | | 12 | 20 | | 13 | 43 | | 14 | 4 | | 15 | 62 | | 16 | 9 | | 17 | 64 | | 18 | 7 | | 19 | 58 | | 20 | 39 | | 21 | 44 | | 22 | 21 | | 23 | 34 | | 24 | 58 | | 25 | 59 | | 26 | 4 | | 27 | 74 | | 28 | 12 | | 29 | 60 | | 30 | 11 |
| |
| 90.84% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 73 | | matches | | 0 | "got swallowed" | | 1 | "been locked" | | 2 | "been trained" |
| |
| 90.11% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 182 | | matches | | 0 | "wasn't heading" | | 1 | "was going" | | 2 | "weren't, strictly speaking" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 75 | | ratio | 0 | | matches | (empty) | |
| 97.39% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1047 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 45 | | adverbRatio | 0.04297994269340974 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.011461318051575931 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 75 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 75 | | mean | 13.97 | | std | 11.83 | | cv | 0.846 | | sampleLengths | | 0 | 18 | | 1 | 15 | | 2 | 9 | | 3 | 26 | | 4 | 2 | | 5 | 3 | | 6 | 3 | | 7 | 27 | | 8 | 6 | | 9 | 4 | | 10 | 30 | | 11 | 7 | | 12 | 14 | | 13 | 13 | | 14 | 17 | | 15 | 21 | | 16 | 3 | | 17 | 1 | | 18 | 29 | | 19 | 12 | | 20 | 1 | | 21 | 9 | | 22 | 39 | | 23 | 6 | | 24 | 11 | | 25 | 39 | | 26 | 20 | | 27 | 11 | | 28 | 4 | | 29 | 15 | | 30 | 4 | | 31 | 1 | | 32 | 8 | | 33 | 4 | | 34 | 18 | | 35 | 2 | | 36 | 2 | | 37 | 29 | | 38 | 11 | | 39 | 4 | | 40 | 5 | | 41 | 24 | | 42 | 16 | | 43 | 2 | | 44 | 10 | | 45 | 2 | | 46 | 10 | | 47 | 4 | | 48 | 3 | | 49 | 28 |
| |
| 69.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4666666666666667 | | totalSentences | 75 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 67 | | matches | | 0 | "Then he was up again," | | 1 | "Somewhere below, she caught the" | | 2 | "Somewhere in that crush of" |
| | ratio | 0.045 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 67 | | matches | | 0 | "She'd made him for a" | | 1 | "He didn't stop." | | 2 | "They never did." | | 3 | "She barely registered it." | | 4 | "He glanced back." | | 5 | "His foot caught the curb" | | 6 | "He wasn't heading for a" | | 7 | "She stood in the drip" | | 8 | "She thought of Morris." | | 9 | "She'd learned to stop asking" | | 10 | "She pocketed it anyway." | | 11 | "She thumbed the volume down" | | 12 | "She descended carefully, back to" | | 13 | "She reached the bottom." | | 14 | "She stepped off the last" |
| | ratio | 0.224 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 67 | | matches | | 0 | "The kid's trainers slapped against" | | 1 | "She'd made him for a" | | 2 | "He didn't stop." | | 3 | "They never did." | | 4 | "Quinn cut through a gap" | | 5 | "She barely registered it." | | 6 | "The kid's jacket, some garish" | | 7 | "A dead pawnbroker with his" | | 8 | "He glanced back." | | 9 | "His foot caught the curb" | | 10 | "The station attendant's shout got" | | 11 | "The kid vaulted the barrier" | | 12 | "He wasn't heading for a" | | 13 | "Quinn's pursuit slowed as her" | | 14 | "The kid had peeled off" | | 15 | "She stood in the drip" | | 16 | "This corridor smelled wrong." | | 17 | "She thought of Morris." | | 18 | "She'd learned to stop asking" | | 19 | "This felt like that." |
| | ratio | 0.672 | |
| 74.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 67 | | matches | | 0 | "Now he'd bolted, and she" |
| | ratio | 0.015 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 6 | | matches | | 0 | "Quinn cut through a gap between a shuttered kebab shop and a skip overflowing with cardboard, boots slapping through a puddle that soaked her to the ankle." | | 1 | "The kid had peeled off before the escalators, ducking through a maintenance door that should have been locked, should have had a sign, should have had anything …" | | 2 | "No answers that made a shred of sense to anyone above her in the chain of command, and plenty of black looks when she'd pushed too hard for them." | | 3 | "The kid's footsteps had already faded, swallowed by distance and the low thrum of something mechanical, something that didn't belong beneath a city street." | | 4 | "Quinn drew her torch, the beam catching drifts of dust and, further down, something that glinted." | | 5 | "Somewhere in that crush of impossible faces was a boy who might know what killed a pawnbroker with something sharper than any blade, might know what happened to…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |