| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.35 | | leniency | 0.7 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1204 | | totalAiIsmAdverbs | 3 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1204 | | totalAiIsms | 31 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | |
| | highlights | | 0 | "echo" | | 1 | "could feel" | | 2 | "weight" | | 3 | "sense of" | | 4 | "cataloged" | | 5 | "methodical" | | 6 | "glint" | | 7 | "gloom" | | 8 | "tantalizing" | | 9 | "etched" | | 10 | "furrowed" | | 11 | "processed" | | 12 | "dancing" | | 13 | "standard" | | 14 | "perfect" | | 15 | "pulse" | | 16 | "whisper" | | 17 | "sinister" | | 18 | "racing" | | 19 | "chill" | | 20 | "flickered" | | 21 | "familiar" | | 22 | "intricate" | | 23 | "otherworldly" | | 24 | "depths" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sense of foreboding" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 62 | | matches | | |
| 73.73% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 62 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 75 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1211 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 76.76% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 1024 | | uniqueNames | 13 | | maxNameDensity | 1.46 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 15 | | Quinn | 3 | | Tube | 1 | | Camden | 1 | | Eva | 10 | | Kowalski | 1 | | British | 1 | | Museum | 1 | | Veil | 3 | | Market | 4 | | Hesitation | 1 | | Compass | 1 | | Calm | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Eva" | | 3 | "Kowalski" | | 4 | "Museum" | | 5 | "Market" | | 6 | "Hesitation" | | 7 | "Compass" |
| | places | | | globalScore | 0.768 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed more pronounced in the gloom, a contrast to the severity of the scene" |
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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 | 1211 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 91.58% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 46.58 | | std | 21.92 | | cv | 0.471 | | sampleLengths | | 0 | 90 | | 1 | 64 | | 2 | 77 | | 3 | 32 | | 4 | 80 | | 5 | 54 | | 6 | 38 | | 7 | 63 | | 8 | 21 | | 9 | 51 | | 10 | 18 | | 11 | 43 | | 12 | 50 | | 13 | 22 | | 14 | 12 | | 15 | 64 | | 16 | 10 | | 17 | 22 | | 18 | 15 | | 19 | 52 | | 20 | 66 | | 21 | 57 | | 22 | 47 | | 23 | 50 | | 24 | 43 | | 25 | 70 |
| |
| 99.60% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 62 | | matches | | |
| 51.85% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 180 | | matches | | 0 | "were approaching" | | 1 | "was indeed drawing" | | 2 | "were finally coming" | | 3 | "was brewing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 5 | | flaggedSentences | 9 | | totalSentences | 75 | | ratio | 0.12 | | matches | | 0 | "Detective Harlow Quinn stepped from the narrow alleyway into an abandoned Tube station beneath Camden — a derelict space, now cloaked in the murmurs of history long forgotten." | | 1 | "The Veil Market was no ordinary black market; it was a hidden place, one that dealt in the supernatural — enchanted goods, banned substances, secret information." | | 2 | "Lacerations crisscrossed the skin — deep, precise cuts that bore no resemblance to a standard knife wound." | | 3 | "They weren’t just after goods; they were after something more dangerous, something that involved dark rites and the opening of gateways between this world and the next." | | 4 | "“There’s more to uncover here, I can feel it. You look into what you can find here; I’ll check around the perimeter.”" | | 5 | "But she pushed the thought away — she wouldn’t lose focus." | | 6 | "The fear she felt morphed into fascination; shadows reached out like tendrils, willing her deeper into the darkness." | | 7 | "This wasn’t just some urban art — it was a conduit, something meant to bridge the gap." | | 8 | "She needed to warn her friend; they would need each other now more than ever if they were to confront whatever was brewing in the darkened depths of the Veil Market." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1022 | | adjectiveStacks | 1 | | stackExamples | | 0 | "skin — deep, precise cuts" |
| | adverbCount | 29 | | adverbRatio | 0.02837573385518591 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008806262230919765 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 75 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 75 | | mean | 16.15 | | std | 7.17 | | cv | 0.444 | | sampleLengths | | 0 | 19 | | 1 | 28 | | 2 | 21 | | 3 | 22 | | 4 | 13 | | 5 | 15 | | 6 | 36 | | 7 | 22 | | 8 | 21 | | 9 | 17 | | 10 | 17 | | 11 | 16 | | 12 | 16 | | 13 | 27 | | 14 | 22 | | 15 | 17 | | 16 | 14 | | 17 | 3 | | 18 | 26 | | 19 | 15 | | 20 | 10 | | 21 | 21 | | 22 | 17 | | 23 | 12 | | 24 | 11 | | 25 | 11 | | 26 | 17 | | 27 | 12 | | 28 | 21 | | 29 | 24 | | 30 | 27 | | 31 | 16 | | 32 | 2 | | 33 | 14 | | 34 | 29 | | 35 | 19 | | 36 | 27 | | 37 | 4 | | 38 | 9 | | 39 | 13 | | 40 | 7 | | 41 | 5 | | 42 | 14 | | 43 | 21 | | 44 | 24 | | 45 | 5 | | 46 | 10 | | 47 | 22 | | 48 | 12 | | 49 | 3 |
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| 88.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5333333333333333 | | totalSentences | 75 | | uniqueOpeners | 40 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 62 | | matches | | 0 | "She could feel the weight" | | 1 | "It was Eva Kowalski, her" | | 2 | "She shot Harlow a look" | | 3 | "she asked, eyeing the two" | | 4 | "She pointed toward the horizon" | | 5 | "They weren’t just after goods;" | | 6 | "She stood, stepping away from" | | 7 | "It clawed at Harlow’s skin," | | 8 | "She reached for her phone," | | 9 | "She turned sharply toward the" | | 10 | "It was everything Eva had" | | 11 | "she whispered, realization dawning like" | | 12 | "She needed to warn her" |
| | ratio | 0.21 | |
| 48.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 62 | | matches | | 0 | "Rain drummed against the pavement," | | 1 | "Detective Harlow Quinn stepped from" | | 2 | "The musty air held a" | | 3 | "She could feel the weight" | | 4 | "Crime scenes often possessed their" | | 5 | "Harlow’s sharp brown eyes slid" | | 6 | "A slender figure leaned against" | | 7 | "It was Eva Kowalski, her" | | 8 | "Eva’s freckled complexion seemed more" | | 9 | "She shot Harlow a look" | | 10 | "Harlow stepped closer, the scent" | | 11 | "she asked, eyeing the two" | | 12 | "Eva pushed her glasses up" | | 13 | "She pointed toward the horizon" | | 14 | "Harlow's brow furrowed." | | 15 | "The Veil Market was no" | | 16 | "Eva paced, or maybe it" | | 17 | "Harlow knelt beside the body," | | 18 | "The victim lay sprawled grotesquely," | | 19 | "Lacerations crisscrossed the skin —" |
| | ratio | 0.823 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 62 | | matches | | 0 | "Whoever they had been, it" | | 1 | "If the Market was indeed" |
| | ratio | 0.032 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 11 | | matches | | 0 | "Rain drummed against the pavement, a relentless tattoo that painted the night in slick reflections of neon and shadow." | | 1 | "It was Eva Kowalski, her long-time friend and an occult researcher, who was supposed to be at the British Museum’s archives." | | 2 | "She shot Harlow a look that mingled concern with eagerness, as if the chaos held something tantalizing." | | 3 | "Lacerations crisscrossed the skin — deep, precise cuts that bore no resemblance to a standard knife wound." | | 4 | "Eva hesitated, her fingers gripping the satchel, her voice dropping to a conspiratorial whisper." | | 5 | "It clawed at Harlow’s skin, making the hairs on her arms prickle as intuition told her they were approaching a precipice." | | 6 | "The air felt heavy, pregnant with something approaching, something that wanted out." | | 7 | "She reached for her phone, checking the frame, noting the illuminated hour: nearly midnight." | | 8 | "The Veil Compass came to mind, an item Harlow had once referenced in a half-remembered case, a tool that could guide seekers to hidden realms." | | 9 | "Quinn stood quickly, her expression sharpening into focus, thoughts racing as she scrambled back toward Eva." | | 10 | "Harlow could feel the pulse of danger reverberating through the station, a haunting call that whispered one inescapable truth: they were not alone." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 2 | | matches | | 0 | "Eva affirmed, exhilaration flaring in her green eyes" | | 1 | "she whispered, realization dawning like a breaking storm" |
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| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "Harlow interrupted (interrupt)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 20 | | tagDensity | 0.15 | | leniency | 0.3 | | rawRatio | 0.667 | | effectiveRatio | 0.2 | |