| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "She crouched again [again]" |
| | dialogueSentences | 51 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.059 | | effectiveRatio | 0.039 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1253 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 88.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1253 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "etched" | | 1 | "footsteps" | | 2 | "echoed" |
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| 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 | 64 | | matches | (empty) | |
| 98.21% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 64 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 75 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1261 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 70.17% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 689 | | uniqueNames | 7 | | maxNameDensity | 1.6 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 11 | | Met | 1 | | Ray | 1 | | Fenwick | 9 | | Clean | 1 | | Brass | 1 | | Eva | 4 |
| | persons | | 0 | "Quinn" | | 1 | "Ray" | | 2 | "Fenwick" | | 3 | "Brass" | | 4 | "Eva" |
| | places | (empty) | | globalScore | 0.702 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | 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 | 1261 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 26.27 | | std | 20.63 | | cv | 0.785 | | sampleLengths | | 0 | 33 | | 1 | 59 | | 2 | 3 | | 3 | 38 | | 4 | 30 | | 5 | 28 | | 6 | 4 | | 7 | 38 | | 8 | 17 | | 9 | 2 | | 10 | 52 | | 11 | 8 | | 12 | 46 | | 13 | 9 | | 14 | 30 | | 15 | 43 | | 16 | 7 | | 17 | 45 | | 18 | 8 | | 19 | 27 | | 20 | 23 | | 21 | 47 | | 22 | 3 | | 23 | 72 | | 24 | 8 | | 25 | 39 | | 26 | 35 | | 27 | 35 | | 28 | 3 | | 29 | 53 | | 30 | 13 | | 31 | 8 | | 32 | 33 | | 33 | 10 | | 34 | 5 | | 35 | 13 | | 36 | 30 | | 37 | 3 | | 38 | 39 | | 39 | 16 | | 40 | 5 | | 41 | 74 | | 42 | 33 | | 43 | 7 | | 44 | 23 | | 45 | 84 | | 46 | 8 | | 47 | 12 |
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| 94.30% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 64 | | matches | | 0 | "been chained" | | 1 | "been bricked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 116 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 96 | | ratio | 0.052 | | matches | | 0 | "The smell arrived first — standing water, dead air, the fossil breath of a million commuters." | | 1 | "Brass filled her palm — a compass the size of a pocket watch, its casing mottled green with verdigris, its face ringed with etched markings that belonged to no instrument she'd ever signed out of an evidence store." | | 2 | "A young woman came down sideways the same way Quinn had — red curls, round glasses fogging in the dead air, a leather satchel stuffed with books banging against her hip." | | 3 | "\"Last week Edmund signed a compass out of the archives and told me he'd found a market under London. He said it opens once a month and never in the same place twice, and that you needed one of those—\" she pointed at the token, her finger shaking, \"—to get through the door. I told him to log it and walk away. I told him—\" Her voice cracked and she pressed her lips together." | | 4 | "\"A man who died on his back and was rolled over after rigor.\" Quinn slid the compass into an evidence bag; through the plastic, the needle held its line to the wall." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 692 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.01878612716763006 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.001445086705202312 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 13.14 | | std | 11.4 | | cv | 0.868 | | sampleLengths | | 0 | 15 | | 1 | 18 | | 2 | 18 | | 3 | 16 | | 4 | 25 | | 5 | 3 | | 6 | 18 | | 7 | 20 | | 8 | 30 | | 9 | 7 | | 10 | 14 | | 11 | 7 | | 12 | 4 | | 13 | 35 | | 14 | 3 | | 15 | 13 | | 16 | 4 | | 17 | 2 | | 18 | 38 | | 19 | 14 | | 20 | 8 | | 21 | 13 | | 22 | 14 | | 23 | 5 | | 24 | 9 | | 25 | 3 | | 26 | 2 | | 27 | 6 | | 28 | 3 | | 29 | 30 | | 30 | 18 | | 31 | 25 | | 32 | 7 | | 33 | 16 | | 34 | 1 | | 35 | 1 | | 36 | 27 | | 37 | 3 | | 38 | 5 | | 39 | 14 | | 40 | 13 | | 41 | 23 | | 42 | 9 | | 43 | 17 | | 44 | 6 | | 45 | 6 | | 46 | 9 | | 47 | 3 | | 48 | 25 | | 49 | 38 |
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| 96.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.6458333333333334 | | totalSentences | 96 | | uniqueOpeners | 62 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 54 | | matches | | 0 | "Then the light: three forensic" | | 1 | "Then her gaze snagged on" |
| | ratio | 0.037 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 54 | | matches | | 0 | "She rose and walked a" | | 1 | "She stepped into the circle" | | 2 | "She stepped out." | | 3 | "She gloved up, lifted the" | | 4 | "She crouched again and pressed" | | 5 | "She bent to the body's" | | 6 | "She turned it in the" | | 7 | "She drew a penlight and" | | 8 | "She stood and followed the" | | 9 | "He listened, rolling his eyes." | | 10 | "She took in the floodlights," | | 11 | "Her hand rose and tucked" | | 12 | "She looked at the wall," | | 13 | "she pointed at the token," | | 14 | "She turned to Eva" |
| | ratio | 0.278 | |
| 34.07% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 54 | | matches | | 0 | "The service gate at the" | | 1 | "Someone had cut it that" | | 2 | "Harlow Quinn ducked under the" | | 3 | "The smell arrived first —" | | 4 | "DS Ray Fenwick stood at" | | 5 | "Quinn swept her torch across" | | 6 | "Enamel advertisements for oat cereal" | | 7 | "Dust lay over everything like" | | 8 | "Quinn crouched beside the body" | | 9 | "She rose and walked a" | | 10 | "She stepped into the circle" | | 11 | "She stepped out." | | 12 | "Fenwick leaned over for a" | | 13 | "She gloved up, lifted the" | | 14 | "She crouched again and pressed" | | 15 | "Fenwick stopped chewing." | | 16 | "Quinn's thumb found the worn" | | 17 | "She bent to the body's" | | 18 | "A cord hung there, singed" | | 19 | "She turned it in the" |
| | ratio | 0.852 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 74.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 2 | | matches | | 0 | "Then the light: three forensic floodlights blazing down the length of a platform that hadn't served a living passenger since before she'd joined the Met." | | 1 | "Brass filled her palm — a compass the size of a pocket watch, its casing mottled green with verdigris, its face ringed with etched markings that belonged to no …" |
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| 66.18% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 2 | | matches | | 0 | "she pointed, her finger shaking," | | 1 | "Quinn slid, the needle held its line to the wall" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 51 | | tagDensity | 0.059 | | leniency | 0.118 | | rawRatio | 0.333 | | effectiveRatio | 0.039 | |