| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 22 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.98% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 712 | | 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) | |
| 15.73% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 712 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "shattered" | | 1 | "wavering" | | 2 | "efficient" | | 3 | "scanning" | | 4 | "glint" | | 5 | "pulse" | | 6 | "almost alive" | | 7 | "etched" | | 8 | "pulsed" | | 9 | "unreadable" | | 10 | "flicked" | | 11 | "racing" |
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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 | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 76 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 702 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 560 | | uniqueNames | 10 | | maxNameDensity | 2.68 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 15 | | Morris | 3 | | British | 1 | | Museum | 1 | | Veil | 2 | | Compass | 1 | | Carter | 9 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Carter" |
| | places | | | globalScore | 0.161 | | windowScore | 0 | |
| 33.72% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 2 | | matches | | 0 | "as if reaching for something just out of grasp" | | 1 | "something like this before he died" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 702 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 21.27 | | std | 16.2 | | cv | 0.762 | | sampleLengths | | 0 | 52 | | 1 | 36 | | 2 | 62 | | 3 | 6 | | 4 | 61 | | 5 | 51 | | 6 | 3 | | 7 | 41 | | 8 | 14 | | 9 | 6 | | 10 | 28 | | 11 | 16 | | 12 | 16 | | 13 | 12 | | 14 | 32 | | 15 | 13 | | 16 | 15 | | 17 | 8 | | 18 | 22 | | 19 | 29 | | 20 | 10 | | 21 | 12 | | 22 | 11 | | 23 | 28 | | 24 | 14 | | 25 | 15 | | 26 | 10 | | 27 | 30 | | 28 | 18 | | 29 | 4 | | 30 | 6 | | 31 | 5 | | 32 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 76 | | matches | | 0 | "was gone" | | 1 | "been closed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 100 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 90 | | ratio | 0.056 | | matches | | 0 | "The abandoned Tube station reeked of damp concrete and something older—something that clung to the air like a second skin." | | 1 | "Just a single, deep puncture mark—too precise, too clean, like a bite." | | 2 | "The usual detritus of the homeless—sleeping bags, half-empty bottles—littered the corners." | | 3 | "Inside was a bone token—small, white, carved with a symbol she didn’t recognize." | | 4 | "She’d dismissed it then—supernatural nonsense." |
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| 99.63% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 569 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.040421792618629174 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.005272407732864675 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 7.8 | | std | 4.92 | | cv | 0.63 | | sampleLengths | | 0 | 20 | | 1 | 14 | | 2 | 18 | | 3 | 6 | | 4 | 9 | | 5 | 4 | | 6 | 17 | | 7 | 11 | | 8 | 20 | | 9 | 12 | | 10 | 11 | | 11 | 2 | | 12 | 6 | | 13 | 6 | | 14 | 12 | | 15 | 3 | | 16 | 4 | | 17 | 12 | | 18 | 2 | | 19 | 6 | | 20 | 5 | | 21 | 17 | | 22 | 5 | | 23 | 11 | | 24 | 6 | | 25 | 15 | | 26 | 14 | | 27 | 3 | | 28 | 10 | | 29 | 17 | | 30 | 14 | | 31 | 14 | | 32 | 3 | | 33 | 3 | | 34 | 10 | | 35 | 10 | | 36 | 8 | | 37 | 11 | | 38 | 5 | | 39 | 8 | | 40 | 8 | | 41 | 3 | | 42 | 9 | | 43 | 6 | | 44 | 26 | | 45 | 3 | | 46 | 10 | | 47 | 10 | | 48 | 5 | | 49 | 3 |
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| 45.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3333333333333333 | | totalSentences | 90 | | uniqueOpeners | 30 | |
| 52.08% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 64 | | matches | | 0 | "Just a single, deep puncture" |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 64 | | matches | | 0 | "He’d have called it a" | | 1 | "He was gone, three years" | | 2 | "She didn’t need to hear" | | 3 | "She stood, scanning the station." | | 4 | "She moved toward it, her" | | 5 | "He’d been the one to" | | 6 | "She turned the compass again." | | 7 | "She held it up." | | 8 | "She walked back to the" | | 9 | "She stood, meeting his gaze." | | 10 | "She’d dismissed it then—supernatural nonsense." | | 11 | "She looked back at the" |
| | ratio | 0.188 | |
| 53.75% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 64 | | matches | | 0 | "The abandoned Tube station reeked" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "The flickering fluorescent lights buzzed" | | 3 | "DS Morris would’ve hated this" | | 4 | "He’d have called it a" | | 5 | "He was gone, three years" | | 6 | "Quinn exhaled through her nose," | | 7 | "The body lay sprawled near" | | 8 | "The coroner’s team moved around" | | 9 | "She didn’t need to hear" | | 10 | "Another junkie who’d pushed too" | | 11 | "Quinn crouched beside the body," | | 12 | "The skin around it wasn’t" | | 13 | "The victim’s pockets were empty," | | 14 | "She stood, scanning the station." | | 15 | "The usual detritus of the" | | 16 | "A glint of brass near" | | 17 | "She moved toward it, her" | | 18 | "The Veil Compass." | | 19 | "Quinn picked it up, turning" |
| | ratio | 0.813 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 57.14% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 3 | | matches | | 0 | "The abandoned Tube station reeked of damp concrete and something older—something that clung to the air like a second skin." | | 1 | "The flickering fluorescent lights buzzed overhead, casting long, wavering shadows that stretched like fingers across the graffiti-scarred walls." | | 2 | "The body lay sprawled near the old ticket booth, arms splayed as if reaching for something just out of grasp." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "Carter said, his tone sharper now" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | 0 | "Carter demanded (demand)" |
| | dialogueSentences | 22 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0.125 | | effectiveRatio | 0.091 | |