| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.345 | | leniency | 0.69 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.31% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1758 | | totalAiIsmAdverbs | 2 | | 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) | |
| 54.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1758 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "perfect" | | 1 | "chill" | | 2 | "traced" | | 3 | "methodical" | | 4 | "weight" | | 5 | "measured" | | 6 | "silence" | | 7 | "implication" | | 8 | "etched" | | 9 | "standard" | | 10 | "echoed" | | 11 | "synthetic" | | 12 | "could feel" | | 13 | "tracing" |
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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 | 2 | | narrationSentences | 125 | | matches | | 0 | "looked uncomfortable" | | 1 | "n in terror" |
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| 97.14% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 125 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 144 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 57 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1779 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 1386 | | uniqueNames | 7 | | maxNameDensity | 1.01 | | worstName | "Fenn" | | maxWindowNameDensity | 3 | | worstWindowName | "Fenn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 11 | | Morris | 2 | | Northern | 1 | | Line | 1 | | Fenn | 14 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Line" | | 4 | "Fenn" |
| | places | (empty) | | globalScore | 0.995 | | windowScore | 0.667 | |
| 93.82% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 89 | | glossingSentenceCount | 2 | | matches | | 0 | "as if reaching for something" | | 1 | "looked like dried saliva at the corner of" |
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| 87.58% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.124 | | wordCount | 1779 | | matches | | 0 | "not with bolt cutters, but with something" | | 1 | "Not the lazy drift of a damaged mechanism, but a steady, purposeful rotation, as if it were searching for s" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 144 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 39.53 | | std | 25.12 | | cv | 0.635 | | sampleLengths | | 0 | 51 | | 1 | 108 | | 2 | 18 | | 3 | 59 | | 4 | 92 | | 5 | 57 | | 6 | 2 | | 7 | 55 | | 8 | 81 | | 9 | 5 | | 10 | 3 | | 11 | 45 | | 12 | 35 | | 13 | 54 | | 14 | 9 | | 15 | 15 | | 16 | 38 | | 17 | 48 | | 18 | 7 | | 19 | 35 | | 20 | 50 | | 21 | 4 | | 22 | 20 | | 23 | 36 | | 24 | 50 | | 25 | 54 | | 26 | 19 | | 27 | 63 | | 28 | 35 | | 29 | 11 | | 30 | 25 | | 31 | 41 | | 32 | 6 | | 33 | 58 | | 34 | 24 | | 35 | 4 | | 36 | 24 | | 37 | 44 | | 38 | 66 | | 39 | 51 | | 40 | 51 | | 41 | 74 | | 42 | 52 | | 43 | 72 | | 44 | 28 |
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| 88.42% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 125 | | matches | | 0 | "been chained" | | 1 | "been persuaded" | | 2 | "was etched" | | 3 | "was meant" | | 4 | "been carried" | | 5 | "been attuned" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 8 | | totalVerbs | 236 | | matches | | 0 | "was crouching" | | 1 | "was already forming" | | 2 | "were searching" | | 3 | "was going" | | 4 | "was still moving" | | 5 | "was looking" | | 6 | "was only beginning" | | 7 | "wasn't getting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 0 | | flaggedSentences | 13 | | totalSentences | 144 | | ratio | 0.09 | | matches | | 0 | "Someone had cut it recently — not with bolt cutters, but with something that left the chain links severed in clean, perfect halves, as if each link had been persuaded to come apart rather than forced." | | 1 | "She adjusted the strap of her torch and checked her watch — the worn leather band on her left wrist, its face scratched from years of use." | | 2 | "Her torch beam caught the yellow line — mind the gap — and then the body." | | 3 | "His jacket — dark wool, expensive cut — had ridden up to expose a strip of pale skin at his back." | | 4 | "His hands were clean — too clean for a man who'd been stumbling through an abandoned station." | | 5 | "Fenn was competent — thorough in his way, methodical, a man who trusted procedure." | | 6 | "In the dust that had settled over the track bed, two sets of prints were visible — one heading into the tunnel, one heading out." | | 7 | "The prints heading into the tunnel were boot treads — heavy, deep impressions, the pattern of someone carrying weight or moving with purpose." | | 8 | "The details — the weight distribution, the implication — he'd missed them." | | 9 | "A compass — small, brass, its casing worn and tarnished with a patina of verdigris." | | 10 | "And the man's hands — too clean, too untouched." | | 11 | "It was something else — something closer to wonder." | | 12 | "But her mind was elsewhere — in a hospital corridor three years ago, where Morris had died with the same expression on his face." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1374 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.029839883551673944 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.006550218340611353 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 144 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 144 | | mean | 12.35 | | std | 10.12 | | cv | 0.819 | | sampleLengths | | 0 | 15 | | 1 | 36 | | 2 | 28 | | 3 | 10 | | 4 | 27 | | 5 | 1 | | 6 | 7 | | 7 | 31 | | 8 | 4 | | 9 | 5 | | 10 | 3 | | 11 | 10 | | 12 | 33 | | 13 | 10 | | 14 | 16 | | 15 | 20 | | 16 | 14 | | 17 | 4 | | 18 | 21 | | 19 | 7 | | 20 | 3 | | 21 | 6 | | 22 | 17 | | 23 | 20 | | 24 | 22 | | 25 | 9 | | 26 | 6 | | 27 | 2 | | 28 | 8 | | 29 | 47 | | 30 | 5 | | 31 | 10 | | 32 | 19 | | 33 | 17 | | 34 | 9 | | 35 | 5 | | 36 | 5 | | 37 | 11 | | 38 | 5 | | 39 | 2 | | 40 | 1 | | 41 | 17 | | 42 | 17 | | 43 | 11 | | 44 | 15 | | 45 | 12 | | 46 | 8 | | 47 | 7 | | 48 | 47 | | 49 | 9 |
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| 48.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3380281690140845 | | totalSentences | 142 | | uniqueOpeners | 48 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 112 | | matches | (empty) | | ratio | 0 | |
| 73.57% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 112 | | matches | | 0 | "She adjusted the strap of" | | 1 | "She'd been awake already, sitting" | | 2 | "She pushed the thought aside." | | 3 | "Her torch beam caught the" | | 4 | "His left arm was extended" | | 5 | "His jacket — dark wool," | | 6 | "His skin had taken on" | | 7 | "He was crouching near the" | | 8 | "He stood when she approached," | | 9 | "She leaned close, noting the" | | 10 | "His hands were clean —" | | 11 | "She turned his right hand" | | 12 | "She traced her torch beam" | | 13 | "It was a habit Quinn" | | 14 | "It meant he was already" | | 15 | "She'd learned long ago that" | | 16 | "She stood and swept her" | | 17 | "She moved toward the tunnel" | | 18 | "She measured them against her" | | 19 | "He hadn't noticed the depth" |
| | ratio | 0.366 | |
| 58.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 112 | | matches | | 0 | "The brass gate to the" | | 1 | "Someone had cut it recently" | | 2 | "Detective Harlow Quinn ducked beneath" | | 3 | "Something faintly metallic, like old" | | 4 | "She adjusted the strap of" | | 5 | "The call had come in" | | 6 | "She'd been awake already, sitting" | | 7 | "The file on Morris." | | 8 | "She pushed the thought aside." | | 9 | "Work was work." | | 10 | "Grief was for later, or" | | 11 | "The platform stretched before her," | | 12 | "Water dripped somewhere in the" | | 13 | "Her torch beam caught the" | | 14 | "A man, mid-thirties perhaps, lay" | | 15 | "His left arm was extended" | | 16 | "His jacket — dark wool," | | 17 | "His skin had taken on" | | 18 | "He was crouching near the" | | 19 | "He stood when she approached," |
| | ratio | 0.804 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 7 | | totalSentences | 112 | | matches | | 0 | "If he'd fallen while running," | | 1 | "As if it had lost" | | 2 | "If he'd been carried, someone" | | 3 | "As if, in his final" | | 4 | "As if it couldn't find" | | 5 | "As if whatever it had" | | 6 | "Even through the evidence bag," |
| | ratio | 0.063 | |
| 56.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 58 | | technicalSentenceCount | 7 | | matches | | 0 | "Someone had cut it recently — not with bolt cutters, but with something that left the chain links severed in clean, perfect halves, as if each link had been per…" | | 1 | "He was crouching near the tunnel entrance, his bulk folded into a squat that looked uncomfortable on a man of his size." | | 2 | "His hands were clean — too clean for a man who'd been stumbling through an abandoned station." | | 3 | "Fenn was competent — thorough in his way, methodical, a man who trusted procedure." | | 4 | "In the dust that had settled over the track bed, two sets of prints were visible — one heading into the tunnel, one heading out." | | 5 | "Not the lazy drift of a damaged mechanism, but a steady, purposeful rotation, as if it were searching for something." | | 6 | "Even through the evidence bag, through the lining of her coat, she could feel it turning, searching, tracing the ghost of something that had been here and was n…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.207 | | leniency | 0.414 | | rawRatio | 0 | | effectiveRatio | 0 | |