| 57.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "He gestured around [around]" |
| | dialogueSentences | 14 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.143 | | effectiveRatio | 0.143 | |
| 85.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1049 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "gently" | | 1 | "carefully" | | 2 | "slightly" |
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| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1049 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | word | "down her spine" | | count | 1 |
| | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | |
| | highlights | | 0 | "echoed" | | 1 | "oppressive" | | 2 | "silence" | | 3 | "stark" | | 4 | "pulse" | | 5 | "gloom" | | 6 | "traced" | | 7 | "glint" | | 8 | "etched" | | 9 | "intricate" | | 10 | "otherworldly" | | 11 | "maw" | | 12 | "quivered" | | 13 | "unwavering" | | 14 | "scanning" | | 15 | "chill" | | 16 | "profound" | | 17 | "down her spine" | | 18 | "fractured" | | 19 | "flickered" | | 20 | "pulsed" | | 21 | "beacon" | | 22 | "depths" | | 23 | "resolve" |
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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 | 62 | | matches | (empty) | |
| 27.65% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 5 | | narrationSentences | 62 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "appeared to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 69 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1051 | | ratio | 0.001 | | matches | | |
| 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 | 27 | | wordCount | 899 | | uniqueNames | 10 | | maxNameDensity | 0.89 | | worstName | "Harlow" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 8 | | Quinn | 1 | | Davies | 5 | | Finch | 4 | | Veil | 3 | | Compass | 2 | | Shade | 1 | | London | 1 | | Morris | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Davies" | | 3 | "Finch" | | 4 | "Compass" | | 5 | "Morris" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 1 | | matches | | 0 | "sigils that seemed to writhe under the flashlight’s beam" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.951 | | wordCount | 1051 | | matches | | 0 | "not for terrestrial navigation, but for charting currents of a far stranger nature" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 87.67% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 9 | | mean | 116.78 | | std | 53.35 | | cv | 0.457 | | sampleLengths | | 0 | 115 | | 1 | 56 | | 2 | 76 | | 3 | 38 | | 4 | 153 | | 5 | 179 | | 6 | 90 | | 7 | 140 | | 8 | 204 |
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| 82.63% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 62 | | matches | | 0 | "was tarnished" | | 1 | "was etched" | | 2 | "was known" | | 3 | "was extracted" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 137 | | matches | (empty) | |
| 60.04% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 69 | | ratio | 0.029 | | matches | | 0 | "The debris – a few discarded wrappers, a crushed cigarette pack – lay undisturbed, as if frozen in time." | | 1 | "Finch wasn't killed here; the evidence was too clean, too wrong." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 227 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 3 | | adverbRatio | 0.013215859030837005 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.004405286343612335 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 69 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 69 | | mean | 15.23 | | std | 7.65 | | cv | 0.502 | | sampleLengths | | 0 | 13 | | 1 | 16 | | 2 | 21 | | 3 | 18 | | 4 | 22 | | 5 | 25 | | 6 | 17 | | 7 | 24 | | 8 | 15 | | 9 | 16 | | 10 | 16 | | 11 | 21 | | 12 | 19 | | 13 | 4 | | 14 | 15 | | 15 | 16 | | 16 | 7 | | 17 | 19 | | 18 | 33 | | 19 | 16 | | 20 | 15 | | 21 | 4 | | 22 | 11 | | 23 | 19 | | 24 | 18 | | 25 | 18 | | 26 | 23 | | 27 | 10 | | 28 | 12 | | 29 | 10 | | 30 | 13 | | 31 | 2 | | 32 | 7 | | 33 | 16 | | 34 | 29 | | 35 | 12 | | 36 | 3 | | 37 | 21 | | 38 | 21 | | 39 | 10 | | 40 | 9 | | 41 | 13 | | 42 | 11 | | 43 | 38 | | 44 | 9 | | 45 | 4 | | 46 | 11 | | 47 | 4 | | 48 | 9 | | 49 | 28 |
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| 56.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4057971014492754 | | totalSentences | 69 | | uniqueOpeners | 28 | |
| 54.64% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 61 | | matches | | 0 | "Instead, it seemed to cling" |
| | ratio | 0.016 | |
| 82.30% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 61 | | matches | | 0 | "Her flashlight beam sliced through" | | 1 | "He gestured with a gloved" | | 2 | "Her eyes traced the edges" | | 3 | "His face, slack and pale," | | 4 | "She knelt, a meter away" | | 5 | "It didn't spread outwards with" | | 6 | "It was sharper, a strange" | | 7 | "Her beam caught a glint" | | 8 | "It wasn't a coin, nor" | | 9 | "She nudged the fabric gently" | | 10 | "It was tarnished, a dark" | | 11 | "She recognized the distinctive craftsmanship," | | 12 | "she said, her voice hardening," | | 13 | "He gestured around the scene," | | 14 | "She pointed the compass towards" | | 15 | "Her gaze followed its direction," | | 16 | "It appeared to actively absorb" | | 17 | "It looked ancient, worn, like" | | 18 | "she asked, her voice low," | | 19 | "It was known to frequent" |
| | ratio | 0.344 | |
| 9.18% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 61 | | matches | | 0 | "The air grew heavy with" | | 1 | "Detective Harlow Quinn descended the" | | 2 | "Her flashlight beam sliced through" | | 3 | "Each distant drip of water" | | 4 | "Inspector Davies, his sharp suit" | | 5 | "He gestured with a gloved" | | 6 | "Harlow nodded, her gaze sweeping" | | 7 | "Her eyes traced the edges" | | 8 | "The debris – a few" | | 9 | "This wasn't a brawl." | | 10 | "Harlow’s voice was a low" | | 11 | "Davies gestured to a dark," | | 12 | "Harlow approached the body, not" | | 13 | "Finch lay on his side," | | 14 | "His face, slack and pale," | | 15 | "She knelt, a meter away" | | 16 | "The stain was odd." | | 17 | "It didn't spread outwards with" | | 18 | "The scent that rose from" | | 19 | "It was sharper, a strange" |
| | ratio | 0.902 | |
| 81.97% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 61 | | matches | | 0 | "Or, more likely, desperately trying" |
| | ratio | 0.016 | |
| 3.48% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 8 | | matches | | 0 | "Each distant drip of water echoed, amplified in the oppressive silence that had swallowed this place long ago." | | 1 | "Inspector Davies, his sharp suit an incongruous splash of colour against the decay, waved her over with a flourish that spoke of his usual self-importance." | | 2 | "The debris – a few discarded wrappers, a crushed cigarette pack – lay undisturbed, as if frozen in time." | | 3 | "Harlow approached the body, not getting too close, her senses immediately attuned to the small details that screamed wrongness." | | 4 | "His face, slack and pale, held an expression that was less pain and more vacant surprise." | | 5 | "The face was etched with intricate, twisting sigils that seemed to writhe under the flashlight’s beam." | | 6 | "The memory of DS Morris, her partner, and the inexplicable circumstances of his disappearance, the case that had fractured her world and defied every rational e…" | | 7 | "It was known to frequent this area, a phantom marketplace that materialized and vanished with the cycles of the moon, accessing the city through forgotten condu…" |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 1 | | matches | | 0 | "she asked, her voice low, intense, her eyes fixed on the symbol" |
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| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 14 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0.333 | | effectiveRatio | 0.143 | |