| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.26% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1337 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 47.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1337 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "flickered" | | 1 | "footsteps" | | 2 | "weight" | | 3 | "echoing" | | 4 | "traced" | | 5 | "shattered" | | 6 | "warmth" | | 7 | "pulse" | | 8 | "etched" | | 9 | "unwavering" | | 10 | "long shadow" | | 11 | "tension" | | 12 | "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 | 61 | | matches | (empty) | |
| 72.60% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 61 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 67 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 88 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1334 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.51% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1128 | | uniqueNames | 6 | | maxNameDensity | 1.33 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 15 | | Camden | 1 | | Tube | 1 | | Sergeant | 1 | | Patel | 10 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sergeant" | | 3 | "Patel" |
| | places | (empty) | | globalScore | 0.835 | | windowScore | 1 | |
| 95.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like they would rather be anywhere" |
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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 | 1334 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 63.52 | | std | 39.1 | | cv | 0.616 | | sampleLengths | | 0 | 146 | | 1 | 129 | | 2 | 28 | | 3 | 69 | | 4 | 12 | | 5 | 97 | | 6 | 88 | | 7 | 94 | | 8 | 49 | | 9 | 8 | | 10 | 14 | | 11 | 90 | | 12 | 88 | | 13 | 17 | | 14 | 32 | | 15 | 83 | | 16 | 62 | | 17 | 6 | | 18 | 74 | | 19 | 64 | | 20 | 84 |
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| 76.50% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 61 | | matches | | 0 | "been called" | | 1 | "been pressed" | | 2 | "been applied" | | 3 | "been laid" | | 4 | "been lowered" |
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| 95.83% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 192 | | matches | | 0 | "was finally moving" | | 1 | "were interlocking" | | 2 | "were rising" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 3 | | flaggedSentences | 5 | | totalSentences | 67 | | ratio | 0.075 | | matches | | 0 | "Quinn’s wristwatch—worn leather, edges softened by years of friction—caught the light when she checked the time." | | 1 | "One sleeve had ridden up to reveal a pale forearm marked with what looked at first like a series of parallel scratches; closer inspection showed them to be faint symbols, shallow and precise as though a stylus had been pressed against skin while the man still lived." | | 2 | "The metal railing was intact; no bent or broken section, no scrape of metal on metal." | | 3 | "The machine’s glass front was spider-webbed but not shattered outward; the damage ran inward, as if pressure had been applied from the platform side." | | 4 | "Quinn studied the platform again. The tiles near the body were dry except for a faint ring of moisture around the man’s outline. As if he had been lowered from above and the cold, wet stone of some other place had clung to him for a moment before evaporating. She looked up once more at the gantry. A single filament of something metallic glinted from the railing joint—a thread so fine it would have been invisible without the low angle of her torch." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 752 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.02925531914893617 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005319148936170213 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 67 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 67 | | mean | 19.91 | | std | 19.13 | | cv | 0.961 | | sampleLengths | | 0 | 20 | | 1 | 21 | | 2 | 29 | | 3 | 24 | | 4 | 3 | | 5 | 7 | | 6 | 7 | | 7 | 16 | | 8 | 1 | | 9 | 18 | | 10 | 22 | | 11 | 18 | | 12 | 7 | | 13 | 8 | | 14 | 47 | | 15 | 12 | | 16 | 10 | | 17 | 5 | | 18 | 12 | | 19 | 16 | | 20 | 3 | | 21 | 8 | | 22 | 22 | | 23 | 16 | | 24 | 20 | | 25 | 4 | | 26 | 8 | | 27 | 20 | | 28 | 22 | | 29 | 19 | | 30 | 24 | | 31 | 12 | | 32 | 11 | | 33 | 26 | | 34 | 7 | | 35 | 21 | | 36 | 5 | | 37 | 18 | | 38 | 14 | | 39 | 17 | | 40 | 14 | | 41 | 9 | | 42 | 33 | | 43 | 7 | | 44 | 7 | | 45 | 16 | | 46 | 26 | | 47 | 8 | | 48 | 2 | | 49 | 12 |
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| 70.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.4393939393939394 | | totalSentences | 66 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 95.86% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 58 | | matches | | 0 | "She stopped on the last" | | 1 | "She had been called forty" | | 2 | "She lifted the cuff with" | | 3 | "She stood, eyes moving to" | | 4 | "She nodded once, a short" | | 5 | "She followed the line with" | | 6 | "She looked back at Patel." | | 7 | "His pen was finally moving," | | 8 | "It pointed, unwavering, toward the" | | 9 | "His tone had the careful" | | 10 | "She turned the compass in" | | 11 | "She tucked it into an" | | 12 | "She walked to the vending" | | 13 | "she said to Patel" | | 14 | "he heard a scream, came" | | 15 | "She pulled a pair of" | | 16 | "They didn’t count on the" | | 17 | "she said. She turned toward" |
| | ratio | 0.31 | |
| 46.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 58 | | matches | | 0 | "Detective Harlow Quinn descended the" | | 1 | "The abandoned Camden Tube station" | | 2 | "She stopped on the last" | | 3 | "A single body lay face-down" | | 4 | "Quinn’s wristwatch—worn leather, edges softened" | | 5 | "She had been called forty" | | 6 | "Quinn approached the body without" | | 7 | "The victim wore a charcoal" | | 8 | "Quinn crouched, careful not to" | | 9 | "She lifted the cuff with" | | 10 | "The symbols were still warm." | | 11 | "Patel offered, voice echoing" | | 12 | "Quinn didn’t straighten." | | 13 | "She stood, eyes moving to" | | 14 | "The metal railing was intact;" | | 15 | "Patel cleared his throat." | | 16 | "She nodded once, a short" | | 17 | "A thin line of soot" | | 18 | "She followed the line with" | | 19 | "The machine’s glass front was" |
| | ratio | 0.828 | |
| 86.21% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 58 | | matches | | 0 | "And, most damning of all," |
| | ratio | 0.017 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 8 | | matches | | 0 | "The abandoned Camden Tube station exhaled cold, metallic air that carried the faint tang of copper and something sweeter beneath it." | | 1 | "A single body lay face-down near the center of the platform, arms splayed as though the victim had been trying to catch his balance." | | 2 | "One sleeve had ridden up to reveal a pale forearm marked with what looked at first like a series of parallel scratches; closer inspection showed them to be fain…" | | 3 | "A thin line of soot traced along the grout between two white tiles, as though something hot and narrow had brushed there." | | 4 | "The machine’s glass front was spider-webbed but not shattered outward; the damage ran inward, as if pressure had been applied from the platform side." | | 5 | "She walked to the vending machine and pushed it aside with one shoulder. Behind it, a narrow service door stood ajar, its frame split as though struck from the …" | | 6 | "Quinn studied the platform again. The tiles near the body were dry except for a faint ring of moisture around the man’s outline. As if he had been lowered from …" | | 7 | "She pulled a pair of plastic steps from the forensics kit left against the wall and climbed. At the top she ran her fingers along the joint. The thread was hair…" |
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| 17.86% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 3 | | matches | | 0 | "Patel offered, voice echoing" | | 1 | "She stood, eyes moving to the gantry above" | | 2 | "Quinn interrupted, sharp but quiet" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn interrupted (interrupt)" |
| | dialogueSentences | 21 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.167 | | effectiveRatio | 0.095 | |