| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 896 | | 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) | |
| 38.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 896 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "chaotic" | | 1 | "familiar" | | 2 | "quickened" | | 3 | "intricate" | | 4 | "velvet" | | 5 | "weight" | | 6 | "pumping" | | 7 | "silence" | | 8 | "potential" | | 9 | "flicked" |
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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 | 54 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 54 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 62 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 894 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 772 | | uniqueNames | 12 | | maxNameDensity | 0.13 | | worstName | "Tube" | | maxWindowNameDensity | 0 | | worstWindowName | (null) | | discoveredNames | | Tube | 1 | | Camden | 1 | | Detective | 1 | | Chief | 1 | | Superintendent | 1 | | Matthews | 1 | | Red | 1 | | Sea | 1 | | Veil | 1 | | Market | 1 | | Elspeth | 1 | | Malone | 1 |
| | persons | | 0 | "Camden" | | 1 | "Detective" | | 2 | "Superintendent" | | 3 | "Matthews" | | 4 | "Market" | | 5 | "Malone" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 98.98% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like blood hung from a chain faste" |
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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 | 894 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 62 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 40.64 | | std | 22.58 | | cv | 0.556 | | sampleLengths | | 0 | 60 | | 1 | 60 | | 2 | 83 | | 3 | 68 | | 4 | 60 | | 5 | 73 | | 6 | 66 | | 7 | 22 | | 8 | 19 | | 9 | 13 | | 10 | 5 | | 11 | 43 | | 12 | 19 | | 13 | 41 | | 14 | 16 | | 15 | 44 | | 16 | 63 | | 17 | 46 | | 18 | 22 | | 19 | 27 | | 20 | 13 | | 21 | 31 |
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| 98.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 54 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 135 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 3 | | flaggedSentences | 4 | | totalSentences | 62 | | ratio | 0.065 | | matches | | 0 | "But none of this circus enticed me; the suspect did." | | 1 | "I grabbed him again, but it was too late; he had broken free and was weaving through the crowd, now alerted to my presence." | | 2 | "The suspect was getting away; I had to make a choice." | | 3 | "Leaving me with a choice that would shape the trajectory of this case—one that might even determine whether Elspeth Malone lived or died." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 774 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.021963824289405683 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.00516795865633075 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 62 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 62 | | mean | 14.42 | | std | 6.6 | | cv | 0.458 | | sampleLengths | | 0 | 23 | | 1 | 15 | | 2 | 22 | | 3 | 14 | | 4 | 17 | | 5 | 29 | | 6 | 17 | | 7 | 16 | | 8 | 27 | | 9 | 23 | | 10 | 21 | | 11 | 18 | | 12 | 25 | | 13 | 1 | | 14 | 3 | | 15 | 10 | | 16 | 13 | | 17 | 9 | | 18 | 18 | | 19 | 10 | | 20 | 15 | | 21 | 24 | | 22 | 12 | | 23 | 13 | | 24 | 9 | | 25 | 13 | | 26 | 11 | | 27 | 12 | | 28 | 20 | | 29 | 10 | | 30 | 10 | | 31 | 12 | | 32 | 13 | | 33 | 6 | | 34 | 6 | | 35 | 7 | | 36 | 5 | | 37 | 16 | | 38 | 27 | | 39 | 19 | | 40 | 24 | | 41 | 17 | | 42 | 8 | | 43 | 8 | | 44 | 11 | | 45 | 19 | | 46 | 14 | | 47 | 22 | | 48 | 11 | | 49 | 12 |
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| 70.43% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.45161290322580644 | | totalSentences | 62 | | uniqueOpeners | 28 | |
| 64.10% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 52 | | matches | | | ratio | 0.019 | |
| 43.08% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 52 | | matches | | 0 | "I kept my gaze fixed" | | 1 | "I manoeuvred through the chaotic" | | 2 | "I followed, the moisture clinging" | | 3 | "I quickened my pace, the" | | 4 | "I ducked under the chain," | | 5 | "I weaved through the labyrinth," | | 6 | "I noted the locations of" | | 7 | "He hurried towards a mountain" | | 8 | "I lunged forward, tackling him" | | 9 | "I pinned him under my" | | 10 | "I tightened my grip on" | | 11 | "I pulled him to his" | | 12 | "He twisted, wriggling out of" | | 13 | "I grabbed him again, but" | | 14 | "My instincts urged me on," | | 15 | "My hands closed around a" | | 16 | "My left hand flexed, ready" | | 17 | "His hand shot upward, revealing" | | 18 | "My situation suddenly crystalized: I" | | 19 | "he said, his voice carrying" |
| | ratio | 0.442 | |
| 75.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 52 | | matches | | 0 | "The thick, drenching rain followed" | | 1 | "I kept my gaze fixed" | | 2 | "I manoeuvred through the chaotic" | | 3 | "A missing persons case wouldn't" | | 4 | "Something about the young woman's" | | 5 | "The suspect darted down the" | | 6 | "I followed, the moisture clinging" | | 7 | "I quickened my pace, the" | | 8 | "The booths were deserted, and" | | 9 | "I ducked under the chain," | | 10 | "The market before me was" | | 11 | "The stone floor glistened with" | | 12 | "I weaved through the labyrinth," | | 13 | "The bone formation glistened with" | | 14 | "I noted the locations of" | | 15 | "A lesson I learned years" | | 16 | "The suspect emerged from a" | | 17 | "He hurried towards a mountain" | | 18 | "I lunged forward, tackling him" | | 19 | "Something hit the floor behind" |
| | ratio | 0.769 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 52 | | matches | | 0 | "If Detective Chief Superintendent Matthews" | | 1 | "Just as I thought he" |
| | ratio | 0.038 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 3 | | matches | | 0 | "Despite the pressing mass of people, he had a peculiar way of moving, a distinctive agility that made him easy to track." | | 1 | "I lunged forward, tackling him to the ground with a force that rattled the entire market, dislodging bones and artefacts." | | 2 | "His hand shot upward, revealing a shimmering ball of light that expanded into a map before my eyes." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, his voice carrying through the sudden silence" |
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| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "he spat (spit)" | | 1 | "a vendor shouted (shout)" |
| | dialogueSentences | 14 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0.667 | | effectiveRatio | 0.286 | |