| 78.79% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "She crouched again [again]" |
| | dialogueSentences | 33 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.182 | | effectiveRatio | 0.121 | |
| 95.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1017 | | 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) | |
| 95.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1017 | | totalAiIsms | 1 | | found | | | highlights | | |
| 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 | 39 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 39 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 61 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1021 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 82.94% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 671 | | uniqueNames | 6 | | maxNameDensity | 1.34 | | worstName | "Devlin" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Devlin" | | discoveredNames | | Quinn | 6 | | Town | 1 | | London | 1 | | Devlin | 9 | | Whitechapel | 1 | | Morris | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Devlin" | | 2 | "Morris" |
| | places | | 0 | "Town" | | 1 | "London" | | 2 | "Whitechapel" |
| | globalScore | 0.829 | | windowScore | 0.833 | |
| 57.41% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 27 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1021 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 61 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 30.94 | | std | 23.25 | | cv | 0.751 | | sampleLengths | | 0 | 59 | | 1 | 19 | | 2 | 52 | | 3 | 25 | | 4 | 42 | | 5 | 3 | | 6 | 38 | | 7 | 4 | | 8 | 6 | | 9 | 33 | | 10 | 83 | | 11 | 20 | | 12 | 11 | | 13 | 52 | | 14 | 5 | | 15 | 55 | | 16 | 11 | | 17 | 8 | | 18 | 43 | | 19 | 19 | | 20 | 83 | | 21 | 34 | | 22 | 2 | | 23 | 47 | | 24 | 14 | | 25 | 64 | | 26 | 42 | | 27 | 18 | | 28 | 14 | | 29 | 68 | | 30 | 16 | | 31 | 7 | | 32 | 24 |
| |
| 96.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 39 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 120 | | matches | (empty) | |
| 2.34% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 61 | | ratio | 0.049 | | matches | | 0 | "\"Could be.\" She didn't believe it, and she suspected Devlin didn't either, not really — she'd seen him hesitate before he offered his tidy little theory, seen the way his eyes kept sliding to the far end of the platform where the floodlights gave out and the tunnel curved into proper dark." | | 1 | "Fifteen feet from the body, the dust told its own story — scuffed in a wide, dragging arc, as if something heavy had been pulled, not carried." | | 2 | "Quinn had smelled sewage more times than she cared to count, and this was something else entirely — cold and clean underneath the sweetness, like frost on metal." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 670 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.03880597014925373 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.008955223880597015 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 61 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 61 | | mean | 16.74 | | std | 12.59 | | cv | 0.752 | | sampleLengths | | 0 | 32 | | 1 | 27 | | 2 | 10 | | 3 | 9 | | 4 | 15 | | 5 | 21 | | 6 | 16 | | 7 | 25 | | 8 | 14 | | 9 | 28 | | 10 | 3 | | 11 | 30 | | 12 | 8 | | 13 | 4 | | 14 | 4 | | 15 | 2 | | 16 | 33 | | 17 | 4 | | 18 | 34 | | 19 | 13 | | 20 | 17 | | 21 | 15 | | 22 | 9 | | 23 | 11 | | 24 | 6 | | 25 | 5 | | 26 | 52 | | 27 | 5 | | 28 | 52 | | 29 | 3 | | 30 | 11 | | 31 | 8 | | 32 | 5 | | 33 | 38 | | 34 | 10 | | 35 | 9 | | 36 | 23 | | 37 | 27 | | 38 | 5 | | 39 | 28 | | 40 | 5 | | 41 | 29 | | 42 | 2 | | 43 | 21 | | 44 | 23 | | 45 | 3 | | 46 | 5 | | 47 | 9 | | 48 | 3 | | 49 | 28 |
| |
| 86.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.6065573770491803 | | totalSentences | 61 | | uniqueOpeners | 37 | |
| 95.24% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 35 | | matches | | 0 | "Just a kind of exhausted" |
| | ratio | 0.029 | |
| 60.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 35 | | matches | | 0 | "She took the stairs two" | | 1 | "She did know that." | | 2 | "She also knew hypothermia didn't" | | 3 | "She leaned closer, careful not" | | 4 | "His eyes were open, fixed" | | 5 | "She didn't believe it, and" | | 6 | "He rubbed the back of" | | 7 | "he said finally" | | 8 | "She crouched again at the" | | 9 | "It wasn't sewage." | | 10 | "She'd smelled it once before," | | 11 | "She didn't say any of" | | 12 | "She stood instead, brushing grit" | | 13 | "She crouched one final time" |
| | ratio | 0.4 | |
| 17.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 31 | | totalSentences | 35 | | matches | | 0 | "Detective Quinn ducked under the" | | 1 | "Camden Town station rattled somewhere" | | 2 | "Sergeant Devlin called from below" | | 3 | "She took the stairs two" | | 4 | "The disused platform opened up" | | 5 | "A body lay near the" | | 6 | "Quinn said, crouching a few" | | 7 | "Devlin flipped open his notebook," | | 8 | "Devlin crouched beside her, close" | | 9 | "Quinn looked at him." | | 10 | "She did know that." | | 11 | "She also knew hypothermia didn't" | | 12 | "She leaned closer, careful not" | | 13 | "His eyes were open, fixed" | | 14 | "Devlin leaned in, obliging but" | | 15 | "She didn't believe it, and" | | 16 | "Devlin didn't answer straight away." | | 17 | "He rubbed the back of" | | 18 | "he said finally" | | 19 | "Quinn stood, joints protesting the" |
| | ratio | 0.886 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 35 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 4 | | matches | | 0 | "Detective Quinn ducked under the police tape strung across the mouth of the old service tunnel, the beam of her torch catching motes of dust that hung motionles…" | | 1 | "The disused platform opened up ahead, lit by a ring of portable floodlights that threw everything into a flat, clinical white." | | 2 | "Fifteen feet from the body, the dust told its own story — scuffed in a wide, dragging arc, as if something heavy had been pulled, not carried." | | 3 | "She stood instead, brushing grit from her knees, and looked again at the bricked-up end of the tunnel, at the draught that shouldn't exist and the dust that tol…" |
| |
| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 1 | | matches | | 0 | "She crouched again, careful to keep her shadow off them" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.212 | | leniency | 0.424 | | rawRatio | 0 | | effectiveRatio | 0 | |