| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "She crouched again [again]" |
| | dialogueSentences | 50 | | tagDensity | 0.36 | | leniency | 0.72 | | rawRatio | 0.056 | | effectiveRatio | 0.04 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1010 | | 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) | |
| 75.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1010 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "fluttered" | | 1 | "pulsed" | | 2 | "etched" | | 3 | "perfect" | | 4 | "silence" |
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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 | 68 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 68 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1019 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 70.38% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 628 | | uniqueNames | 7 | | maxNameDensity | 1.59 | | worstName | "Dellows" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 8 | | Dellows | 10 | | Old | 1 | | Circular | 1 | | Underground | 1 | | Two | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Dellows" | | 3 | "Underground" | | 4 | "Two" |
| | places | | | globalScore | 0.704 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.981 | | wordCount | 1019 | | matches | | 0 | "not eaten away, but grown, blooming like frost on glass" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 20.8 | | std | 18.39 | | cv | 0.884 | | sampleLengths | | 0 | 40 | | 1 | 31 | | 2 | 18 | | 3 | 2 | | 4 | 34 | | 5 | 55 | | 6 | 2 | | 7 | 40 | | 8 | 16 | | 9 | 20 | | 10 | 3 | | 11 | 72 | | 12 | 7 | | 13 | 9 | | 14 | 4 | | 15 | 16 | | 16 | 45 | | 17 | 15 | | 18 | 1 | | 19 | 5 | | 20 | 2 | | 21 | 33 | | 22 | 35 | | 23 | 18 | | 24 | 48 | | 25 | 4 | | 26 | 57 | | 27 | 2 | | 28 | 1 | | 29 | 35 | | 30 | 4 | | 31 | 53 | | 32 | 3 | | 33 | 4 | | 34 | 50 | | 35 | 20 | | 36 | 22 | | 37 | 7 | | 38 | 42 | | 39 | 8 | | 40 | 7 | | 41 | 19 | | 42 | 7 | | 43 | 33 | | 44 | 8 | | 45 | 30 | | 46 | 5 | | 47 | 21 | | 48 | 6 |
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| 84.62% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 68 | | matches | | 0 | "were ruined" | | 1 | "been opened" | | 2 | "been clenched" | | 3 | "been placed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 104 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 100 | | ratio | 0.07 | | matches | | 0 | "The dead man was mid-forties, soft hands, a gold signet ring with a serpent coiled around a stone that wasn't any stone she recognised — black shot through with veins of silver." | | 1 | "Old soot, decades of it, thick on the tunnel walls — but on the third rail's wooden supports, someone had scraped the soot away in wide arcs." | | 2 | "Some — she stopped." | | 3 | "A sigil, scored into the metal, and around it the rust had grown outward in a perfect ring — not eaten away, but grown, blooming like frost on glass." | | 4 | "Draft came up it, warm and smelling of smoke and something sweet — myrrh, maybe." | | 5 | "The bone token rested in his palm — but it hadn't been clenched." | | 6 | "She pulled out her phone and called it in — a second forensics team, a transport historian, and the museum." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 624 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.03205128205128205 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.003205128205128205 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 10.19 | | std | 8.47 | | cv | 0.831 | | sampleLengths | | 0 | 21 | | 1 | 19 | | 2 | 18 | | 3 | 4 | | 4 | 4 | | 5 | 5 | | 6 | 11 | | 7 | 7 | | 8 | 2 | | 9 | 34 | | 10 | 12 | | 11 | 32 | | 12 | 3 | | 13 | 3 | | 14 | 5 | | 15 | 2 | | 16 | 16 | | 17 | 24 | | 18 | 9 | | 19 | 7 | | 20 | 10 | | 21 | 10 | | 22 | 3 | | 23 | 22 | | 24 | 27 | | 25 | 2 | | 26 | 10 | | 27 | 1 | | 28 | 5 | | 29 | 5 | | 30 | 7 | | 31 | 9 | | 32 | 4 | | 33 | 7 | | 34 | 9 | | 35 | 14 | | 36 | 6 | | 37 | 3 | | 38 | 2 | | 39 | 4 | | 40 | 16 | | 41 | 12 | | 42 | 3 | | 43 | 1 | | 44 | 5 | | 45 | 2 | | 46 | 33 | | 47 | 10 | | 48 | 25 | | 49 | 18 |
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| 92.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.64 | | totalSentences | 100 | | uniqueOpeners | 64 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 57 | | matches | | 0 | "All facing the same direction." | | 1 | "Just four mounting bolts and" |
| | ratio | 0.035 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 57 | | matches | | 0 | "His coat was expensive." | | 1 | "His shoes were ruined." | | 2 | "His throat had been opened." | | 3 | "She leaned closer." | | 4 | "She blinked and it didn't." | | 5 | "She circled the corpse, torch" | | 6 | "She photographed them with her" | | 7 | "She crouched again by the" | | 8 | "She photographed it, then straightened" | | 9 | "She angled the light up" | | 10 | "She walked the platform's length," | | 11 | "She clicked her torch off" | | 12 | "She knelt one last time" | | 13 | "It had been placed there." | | 14 | "She pulled out her phone" | | 15 | "She pocketed the phone and" |
| | ratio | 0.281 | |
| 65.26% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 57 | | matches | | 0 | "The crime scene tape fluttered" | | 1 | "Detective Harlow Quinn lifted it" | | 2 | "His coat was expensive." | | 3 | "His shoes were ruined." | | 4 | "His throat had been opened." | | 5 | "PC Dellows stood near the" | | 6 | "Quinn crouched beside the body," | | 7 | "The dead man was mid-forties," | | 8 | "She leaned closer." | | 9 | "The stone pulsed." | | 10 | "She blinked and it didn't." | | 11 | "Dellows held up an evidence" | | 12 | "Quinn didn't touch the bag" | | 13 | "She circled the corpse, torch" | | 14 | "Dellows shone his light down" | | 15 | "She photographed them with her" | | 16 | "The soot had preserved the" | | 17 | "Some — she stopped." | | 18 | "Some prints ended mid-stride, as" | | 19 | "Dellows came up beside her" |
| | ratio | 0.789 | |
| 87.72% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 57 | | matches | | 0 | "If this token had come" |
| | ratio | 0.018 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 1 | | matches | | 0 | "The dead man was mid-forties, soft hands, a gold signet ring with a serpent coiled around a stone that wasn't any stone she recognised — black shot through with…" |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 2 | | matches | | 0 | "She circled, torch sweeping the tracks" | | 1 | "Dellows repeated, flat" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | 0 | "Dellows repeated (repeat)" |
| | dialogueSentences | 50 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0.2 | | effectiveRatio | 0.04 | |