| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 80.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 750 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "suddenly" | | 1 | "coolly" | | 2 | "really" |
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| 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) | |
| 33.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 750 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "flickered" | | 1 | "scanned" | | 2 | "sinister" | | 3 | "footsteps" | | 4 | "trembled" | | 5 | "gleaming" | | 6 | "otherworldly" | | 7 | "raced" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 97.22% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 60 | | matches | | 0 | "a thrill of fear" | | 1 | "felt a thrill" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 60 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 66 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 755 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 71.01% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 633 | | uniqueNames | 15 | | maxNameDensity | 1.58 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Detective | 1 | | Harlow | 10 | | Quinn | 1 | | London | 1 | | Raven | 1 | | Nest | 1 | | Tommy | 7 | | Herrera | 2 | | Gorgon | 1 | | Glock | 1 | | Sarah | 1 | | English | 1 | | Nde | 1 | | Boris | 1 | | Dyrse | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Tommy" | | 5 | "Herrera" | | 6 | "Sarah" | | 7 | "Boris" | | 8 | "Dyrse" |
| | places | | 0 | "Detective" | | 1 | "London" | | 2 | "English" |
| | globalScore | 0.71 | | windowScore | 0.833 | |
| 93.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like an abandoned pub" |
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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 | 755 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 66.37% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 35.95 | | std | 13.74 | | cv | 0.382 | | sampleLengths | | 0 | 64 | | 1 | 40 | | 2 | 42 | | 3 | 42 | | 4 | 61 | | 5 | 47 | | 6 | 34 | | 7 | 38 | | 8 | 49 | | 9 | 49 | | 10 | 7 | | 11 | 11 | | 12 | 32 | | 13 | 32 | | 14 | 33 | | 15 | 24 | | 16 | 35 | | 17 | 30 | | 18 | 31 | | 19 | 35 | | 20 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 60 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 97 | | matches | (empty) | |
| 56.28% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 66 | | ratio | 0.03 | | matches | | 0 | "At the end of the shadowed lane, the tatty green sign of The Raven's Nest flickered in the fog, illumining the figure of a man dashing down the street - the cunning talent-jujuer Tommy Herrera." | | 1 | "She tried the handle, but the door held fast - locked somehow." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 635 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small, saline-slick fingers" | | 1 | "dim, grime-streaked light" |
| | adverbCount | 17 | | adverbRatio | 0.026771653543307086 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.009448818897637795 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 66 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 66 | | mean | 11.41 | | std | 8.11 | | cv | 0.711 | | sampleLengths | | 0 | 21 | | 1 | 35 | | 2 | 8 | | 3 | 6 | | 4 | 17 | | 5 | 11 | | 6 | 3 | | 7 | 3 | | 8 | 22 | | 9 | 20 | | 10 | 17 | | 11 | 1 | | 12 | 7 | | 13 | 1 | | 14 | 2 | | 15 | 12 | | 16 | 9 | | 17 | 6 | | 18 | 27 | | 19 | 19 | | 20 | 22 | | 21 | 13 | | 22 | 1 | | 23 | 11 | | 24 | 19 | | 25 | 15 | | 26 | 14 | | 27 | 6 | | 28 | 12 | | 29 | 3 | | 30 | 1 | | 31 | 2 | | 32 | 24 | | 33 | 25 | | 34 | 18 | | 35 | 27 | | 36 | 2 | | 37 | 2 | | 38 | 7 | | 39 | 6 | | 40 | 5 | | 41 | 14 | | 42 | 18 | | 43 | 15 | | 44 | 17 | | 45 | 11 | | 46 | 22 | | 47 | 6 | | 48 | 18 | | 49 | 11 |
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| 94.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5757575757575758 | | totalSentences | 66 | | uniqueOpeners | 38 | |
| 65.36% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 51 | | matches | | 0 | "Coolly silent, cautious footsteps sent" |
| | ratio | 0.02 | |
| 78.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 51 | | matches | | 0 | "Her small, saline-slick fingers curled" | | 1 | "He couldn't escape." | | 2 | "Her puzzled expression shifted into" | | 3 | "She tried the handle, but" | | 4 | "she cursed under her breath," | | 5 | "She wasn't about to lose" | | 6 | "She assumed the creepy place" | | 7 | "She crept along the deserted" | | 8 | "Her quill trembled on the" | | 9 | "They grew louder." | | 10 | "he mumbled, slinging a bone" | | 11 | "They landed on Harlow, and" | | 12 | "he said, voice dripping with" | | 13 | "He reached into his pocket" | | 14 | "It glowed with an eerie," | | 15 | "It had to be the" | | 16 | "She weighed her options." | | 17 | "She had come this far." |
| | ratio | 0.353 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 36 | | totalSentences | 51 | | matches | | 0 | "The cold rain soaked through" | | 1 | "A malevolent, 29-year old hitman" | | 2 | "Harlow's heart hammered against her" | | 3 | "Her small, saline-slick fingers curled" | | 4 | "Adrenaline surged through her veins" | | 5 | "He couldn't escape." | | 6 | "A burst of loud, club" | | 7 | "Harlow skidded to a stop" | | 8 | "Her puzzled expression shifted into" | | 9 | "She tried the handle, but" | | 10 | "she cursed under her breath," | | 11 | "This was her case, her" | | 12 | "She wasn't about to lose" | | 13 | "She assumed the creepy place" | | 14 | "A small alley alongside the" | | 15 | "She crept along the deserted" | | 16 | "Halfway down, she froze at" | | 17 | "Her quill trembled on the" | | 18 | "They grew louder." | | 19 | "Harlow flattened herself against the" |
| | ratio | 0.706 | |
| 98.04% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 51 | | matches | | 0 | "Before her, a promising yet" |
| | ratio | 0.02 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 1 | | matches | | 0 | "Nde the boy, she saw Tommy's olive skin gleaming with water droplets in the faint light, wiping off the fine mist that covered his sleek, black shirt." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 2 | | matches | | 0 | "she cursed, teeth grinding" | | 1 | "he said, voice dripping with oily amusement" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "ordered a low (order)" | | 1 | "he mumbled (mumble)" |
| | dialogueSentences | 10 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0.667 | | effectiveRatio | 0.4 | |