| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 3 | | adverbTags | | 0 | "Elmira suggested softly [softly]" | | 1 | "she said softly [softly]" | | 2 | "she said quietly [quietly]" |
| | dialogueSentences | 18 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.375 | | effectiveRatio | 0.333 | |
| 63.74% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1103 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "nervously" | | 1 | "slightly" | | 2 | "softly" | | 3 | "carefully" | | 4 | "gently" |
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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) | |
| 13.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1103 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "otherworldly" | | 1 | "standard" | | 2 | "etched" | | 3 | "silence" | | 4 | "oppressive" | | 5 | "flicked" | | 6 | "maw" | | 7 | "unreadable" | | 8 | "glint" | | 9 | "echoed" | | 10 | "pristine" | | 11 | "scanned" | | 12 | "chaotic" | | 13 | "flicker" | | 14 | "echoing" | | 15 | "familiar" | | 16 | "determined" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 81 | | matches | | |
| 37.04% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 3 | | narrationSentences | 81 | | filterMatches | | | hedgeMatches | | 0 | "appeared to" | | 1 | "tried to" | | 2 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1081 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 922 | | uniqueNames | 7 | | maxNameDensity | 1.19 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 11 | | Officer | 1 | | Elmira | 7 | | Veil | 1 | | Compass | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Officer" | | 3 | "Elmira" |
| | places | (empty) | | globalScore | 0.903 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a ritual circle, faint chalk" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.925 | | wordCount | 1081 | | matches | | 0 | "Not a symbol, but something more chaotic" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 91 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 32.76 | | std | 16.81 | | cv | 0.513 | | sampleLengths | | 0 | 84 | | 1 | 45 | | 2 | 27 | | 3 | 16 | | 4 | 54 | | 5 | 41 | | 6 | 21 | | 7 | 34 | | 8 | 41 | | 9 | 28 | | 10 | 10 | | 11 | 49 | | 12 | 47 | | 13 | 13 | | 14 | 31 | | 15 | 32 | | 16 | 42 | | 17 | 45 | | 18 | 8 | | 19 | 37 | | 20 | 52 | | 21 | 44 | | 22 | 25 | | 23 | 21 | | 24 | 11 | | 25 | 19 | | 26 | 28 | | 27 | 52 | | 28 | 12 | | 29 | 9 | | 30 | 17 | | 31 | 47 | | 32 | 39 |
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| 96.60% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 81 | | matches | | 0 | "was meant" | | 1 | "was staged" |
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| 76.54% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 162 | | matches | | 0 | "was walking" | | 1 | "were testing" | | 2 | "was starting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 20 | | semicolonCount | 1 | | flaggedSentences | 18 | | totalSentences | 91 | | ratio | 0.198 | | matches | | 0 | "The air was thick with that peculiar scent of decay—metal, damp concrete, something faintly otherworldly that she hadn’t yet been able to identify." | | 1 | "She’d arrived just before the local patrol had sealed the site, a procedural move prompted, perhaps, by the uneven nature of the evidence—or the lack of it." | | 2 | "The edges blurred into grime; almost as if it had been hurriedly drawn, then erased or swallowed by time." | | 3 | "No bodies—at least, none visible from where Quinn stood." | | 4 | "She ran a gloved finger over the faint lines, feeling for any residual energy—nothing." | | 5 | "But her instincts—a decade and a half of policing, always looking beyond the surface—told her this was different." | | 6 | "Still minutes before midnight—the full moon, as it always was when a new chapter in this game began." | | 7 | "It was uncommon, but not unheard of, for occult practitioners to leave tokens at sites—often as curses or protections." | | 8 | "Then a glimmer caught her eye—a small glint deeper within the tunnel entrance, barely catching the stray light." | | 9 | "At the mouth of the tunnel, she crouched again, this time noticing an irregularity in the floor—something embedded into the crack between tiles." | | 10 | "She brushed aside loose dirt, revealing what appeared to be a fragment of smooth, dark glass—no, more like obsidian, polished and pristine." | | 11 | "A sudden thought pushed in—an intuitive jolt." | | 12 | "As she scanned the darkness with her eyes, she spotted something unusual—a faint shimmer to the left wall, almost like a reflection, but there was no light source close by." | | 13 | "Her fingers found a subtle change in texture—something scraped or chiseled into the wall, a series of tiny, uneven etchings." | | 14 | "Not a symbol, but something more chaotic—a hurried signature, or maybe a warning." | | 15 | "A sudden movement—a flicker to the corner of her eye." | | 16 | "Quinn’s mind spun with questions—about the bone token, the etchings, the glimmer in the wall—and all the ways the pieces might fit together in a puzzle she didn’t yet understand." | | 17 | "And she was starting to see that the evidence—what was visible—was only a fragment of what the darkness concealed." |
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| 84.12% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 945 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 52 | | adverbRatio | 0.05502645502645503 | | lyAdverbCount | 22 | | lyAdverbRatio | 0.02328042328042328 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 11.88 | | std | 7.46 | | cv | 0.628 | | sampleLengths | | 0 | 27 | | 1 | 14 | | 2 | 23 | | 3 | 20 | | 4 | 16 | | 5 | 2 | | 6 | 27 | | 7 | 15 | | 8 | 12 | | 9 | 9 | | 10 | 7 | | 11 | 23 | | 12 | 19 | | 13 | 3 | | 14 | 9 | | 15 | 9 | | 16 | 13 | | 17 | 14 | | 18 | 5 | | 19 | 7 | | 20 | 14 | | 21 | 8 | | 22 | 2 | | 23 | 1 | | 24 | 18 | | 25 | 5 | | 26 | 16 | | 27 | 12 | | 28 | 13 | | 29 | 10 | | 30 | 18 | | 31 | 10 | | 32 | 5 | | 33 | 33 | | 34 | 11 | | 35 | 11 | | 36 | 7 | | 37 | 10 | | 38 | 19 | | 39 | 2 | | 40 | 11 | | 41 | 5 | | 42 | 26 | | 43 | 9 | | 44 | 3 | | 45 | 4 | | 46 | 2 | | 47 | 14 | | 48 | 18 | | 49 | 10 |
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| 64.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4175824175824176 | | totalSentences | 91 | | uniqueOpeners | 38 | |
| 91.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 73 | | matches | | 0 | "Just broken chalk and dirt." | | 1 | "Then a glimmer caught her" |
| | ratio | 0.027 | |
| 77.53% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 73 | | matches | | 0 | "Her leather watch caught the" | | 1 | "She’d arrived just before the" | | 2 | "She gestured to the scattered" | | 3 | "They looked hastily etched, almost" | | 4 | "She ran a gloved finger" | | 5 | "She touched her leather watch," | | 6 | "she asked Elmira, voice low" | | 7 | "She reached into her pocket" | | 8 | "It looked almost like a" | | 9 | "She weighed it in her" | | 10 | "It was uncommon, but not" | | 11 | "She had learned to trust" | | 12 | "She stepped forward, her breath" | | 13 | "Her boots echoed softly against" | | 14 | "She brushed aside loose dirt," | | 15 | "She pocketed the piece, then" | | 16 | "She reached into her satchel," | | 17 | "She eased closer, her boots" | | 18 | "Her fingers found a subtle" | | 19 | "She pressed her fingertips against" |
| | ratio | 0.356 | |
| 83.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 73 | | matches | | 0 | "The entrance to the abandoned" | | 1 | "Detective Harlow Quinn approached briskly," | | 2 | "The air was thick with" | | 3 | "The kind of darkness that" | | 4 | "Her leather watch caught the" | | 5 | "She’d arrived just before the" | | 6 | "Quinn turned, her eyes narrowing" | | 7 | "Elmira began, voice tentative" | | 8 | "She gestured to the scattered" | | 9 | "The edges blurred into grime;" | | 10 | "Quinn murmured, crouching to inspect" | | 11 | "They looked hastily etched, almost" | | 12 | "She ran a gloved finger" | | 13 | "Elmira suggested softly" | | 14 | "Quinn straightened and studied the" | | 15 | "The evidence didn’t add up." | | 16 | "The silence was oppressive, save" | | 17 | "Quinn’s gaze flicked to a" | | 18 | "Something about it made her" | | 19 | "She touched her leather watch," |
| | ratio | 0.753 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 1 | | matches | | 0 | "Quinn turned, her eyes narrowing slightly, sensing something off about the scene." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 5 | | matches | | 0 | "Elmira began, voice tentative" | | 1 | "Quinn murmured, crouching to inspect the faint symbols" | | 2 | "she asked, voice low" | | 3 | "she said softly, voice echoing against the empty walls" | | 4 | "Quinn replied, voice low and determined" |
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| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn murmured (murmur)" | | 1 | "Elmira suggested softly (suggest)" |
| | dialogueSentences | 18 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.333 | | effectiveRatio | 0.222 | |