| 92.86% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 28 | | adverbTagCount | 3 | | adverbTags | | 0 | "Harlow glanced upwards [upwards]" | | 1 | "Harlow knelt again [again]" | | 2 | "She turned back [back]" |
| | dialogueSentences | 42 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0.107 | | effectiveRatio | 0.107 | |
| 85.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1063 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "cautiously" | | 1 | "really" | | 2 | "tightly" |
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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 | 1063 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | |
| | highlights | | 0 | "echoes" | | 1 | "silence" | | 2 | "scanning" | | 3 | "furrowed" | | 4 | "loomed" | | 5 | "racing" | | 6 | "otherworldly" | | 7 | "etched" | | 8 | "raced" | | 9 | "echoed" | | 10 | "apprehension" | | 11 | "whisper" | | 12 | "footsteps" | | 13 | "resonated" | | 14 | "pulse" | | 15 | "tracing" | | 16 | "resolve" | | 17 | "determined" | | 18 | "could feel" | | 19 | "tangible" | | 20 | "charged" | | 21 | "sense of" | | 22 | "shimmered" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "hung thick in the air" |
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| 85.32% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 3 | | narrationSentences | 63 | | matches | | 0 | "w with urgency" | | 1 | "g in disbelief" | | 2 | "d with urgency" |
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| 97.51% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 63 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 77 | | 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 | 0 | | markdownWords | 0 | | totalWords | 1051 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 80.73% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 794 | | uniqueNames | 10 | | maxNameDensity | 1.39 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 11 | | Quinn | 1 | | Tube | 1 | | Camden | 1 | | Veil | 1 | | Market | 1 | | Constable | 1 | | Jamieson | 9 | | Mike | 1 | | Morse | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Jamieson" | | 3 | "Mike" | | 4 | "Morse" |
| | places | (empty) | | globalScore | 0.807 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like the remnants of a makeshift s" |
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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 | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 94.76% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 30.91 | | std | 14.89 | | cv | 0.482 | | sampleLengths | | 0 | 63 | | 1 | 30 | | 2 | 36 | | 3 | 62 | | 4 | 27 | | 5 | 24 | | 6 | 26 | | 7 | 45 | | 8 | 14 | | 9 | 21 | | 10 | 32 | | 11 | 4 | | 12 | 27 | | 13 | 25 | | 14 | 51 | | 15 | 11 | | 16 | 7 | | 17 | 27 | | 18 | 31 | | 19 | 21 | | 20 | 32 | | 21 | 44 | | 22 | 40 | | 23 | 16 | | 24 | 38 | | 25 | 7 | | 26 | 33 | | 27 | 20 | | 28 | 34 | | 29 | 44 | | 30 | 15 | | 31 | 48 | | 32 | 53 | | 33 | 43 |
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| 94.12% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 63 | | matches | | 0 | "was dressed" | | 1 | "been drawn" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 143 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 2 | | flaggedSentences | 11 | | totalSentences | 77 | | ratio | 0.143 | | matches | | 0 | "Detective Harlow Quinn stepped cautiously into the shadows of the abandoned Tube station beneath Camden—The Veil Market." | | 1 | "A leather satchel lay open nearby, books spilling out like entrails—a telltale sign of a frantic departure." | | 2 | "“Let’s not jump to conclusions.” Harlow glanced upwards; the rusted metal supports loomed like skeletal fingers, curling toward the ceiling." | | 3 | "The words flattened on the page showcased elaborate diagrams—none of them related to regular occult pursuits." | | 4 | "Etched into its casing were protective sigils; faint patina spoke of age and careful handling." | | 5 | "She examined the needle, which swung erratically before finally settling toward the northwest—offbeat but not unheard of." | | 6 | "The rustling of leaves—a sudden breeze, perhaps—echoed ominously in the distance as if the air itself whispered secrets." | | 7 | "Faint glimmers of enchantment sparkled in the cracks—a pulse of energy that told a story only she could half-understand." | | 8 | "Something had been drawn—maybe a sigil, perhaps a ward—but it was incomplete." | | 9 | "In the distance, she could hear whispers—too soft to decipher but laced with urgency." | | 10 | "Whispers cocooned her, weaving a narrative of warnings and secrets, and she arrived at a new threshold, one she would cross before the world—or her own heart—folded away." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 809 | | adjectiveStacks | 1 | | stackExamples | | 0 | "lay open nearby, books" |
| | adverbCount | 28 | | adverbRatio | 0.034610630407911 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.009888751545117428 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 77 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 77 | | mean | 13.65 | | std | 6.66 | | cv | 0.488 | | sampleLengths | | 0 | 17 | | 1 | 17 | | 2 | 14 | | 3 | 15 | | 4 | 12 | | 5 | 18 | | 6 | 21 | | 7 | 15 | | 8 | 15 | | 9 | 9 | | 10 | 17 | | 11 | 21 | | 12 | 16 | | 13 | 11 | | 14 | 20 | | 15 | 4 | | 16 | 14 | | 17 | 12 | | 18 | 2 | | 19 | 25 | | 20 | 3 | | 21 | 15 | | 22 | 9 | | 23 | 5 | | 24 | 14 | | 25 | 7 | | 26 | 16 | | 27 | 16 | | 28 | 4 | | 29 | 18 | | 30 | 9 | | 31 | 11 | | 32 | 14 | | 33 | 4 | | 34 | 15 | | 35 | 15 | | 36 | 17 | | 37 | 6 | | 38 | 5 | | 39 | 7 | | 40 | 12 | | 41 | 15 | | 42 | 18 | | 43 | 5 | | 44 | 8 | | 45 | 21 | | 46 | 16 | | 47 | 16 | | 48 | 25 | | 49 | 19 |
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| 100.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.6233766233766234 | | totalSentences | 77 | | uniqueOpeners | 48 | |
| 55.56% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 60 | | matches | | 0 | "Even his eyes widened with" |
| | ratio | 0.017 | |
| 53.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 60 | | matches | | 0 | "She tightened her grip on" | | 1 | "He stood near a tangle" | | 2 | "she replied, her own voice" | | 3 | "She crossed the strewn debris," | | 4 | "he said, scratching his head" | | 5 | "She stood, brushing dirt from" | | 6 | "She couldn’t define it yet," | | 7 | "she said, redirecting her focus" | | 8 | "She pointed to a sketch" | | 9 | "He gestured toward the body" | | 10 | "She dug into the pocket" | | 11 | "She examined the needle, which" | | 12 | "She turned, stepping further down" | | 13 | "Her footsteps resonated in the" | | 14 | "she murmured, spotting a residue" | | 15 | "She crouched again, tracing the" | | 16 | "she echoed, stifling an instinct" | | 17 | "She turned back, scanning one" | | 18 | "she interrupted, her voice low" | | 19 | "he countered, voice rising in" |
| | ratio | 0.417 | |
| 18.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 60 | | matches | | 0 | "The stench of decay hung" | | 1 | "Detective Harlow Quinn stepped cautiously" | | 2 | "She tightened her grip on" | | 3 | "The voice of Constable Jamieson" | | 4 | "He stood near a tangle" | | 5 | "she replied, her own voice" | | 6 | "She crossed the strewn debris," | | 7 | "The body lay sprawled on" | | 8 | "Harlow's brow furrowed as she" | | 9 | "A leather satchel lay open" | | 10 | "The person was dressed in" | | 11 | "Jamieson offered, standing back, his" | | 12 | "Harlow glanced upwards; the rusted" | | 13 | "he said, scratching his head" | | 14 | "She stood, brushing dirt from" | | 15 | "Something felt off." | | 16 | "She couldn’t define it yet," | | 17 | "she said, redirecting her focus" | | 18 | "Jamieson squinted at the open" | | 19 | "Harlow knelt again, her gaze" |
| | ratio | 0.883 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 2 | | matches | | 0 | "She examined the needle, which swung erratically before finally settling toward the northwest—offbeat but not unheard of." | | 1 | "Faint glimmers of enchantment sparkled in the cracks—a pulse of energy that told a story only she could half-understand." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 28 | | uselessAdditionCount | 7 | | matches | | 0 | "Harlow knelt again, her gaze drilling into the scribbled notes and markings" | | 1 | "Jamieson’s tone shifted, skepticism creeping in" | | 2 | "Jamieson caught up, breathless" | | 3 | "she interrupted, her voice low with urgency" | | 4 | "he countered, voice rising in disbelief" | | 5 | "Harlow shot back, her thoughts racing" | | 6 | "she murmured, adrenaline sparking in her veins" |
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| 30.95% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 5 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she murmured (murmur)" | | 2 | "she interrupted (interrupt)" | | 3 | "Jamieson pressed (press)" | | 4 | "she murmured (murmur)" |
| | dialogueSentences | 42 | | tagDensity | 0.238 | | leniency | 0.476 | | rawRatio | 0.5 | | effectiveRatio | 0.238 | |