| 72.34% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 3 | | adverbTags | | 0 | "Quinn said quietly [quietly]" | | 1 | "Eva said softly [softly]" | | 2 | "Quinn said sharply [sharply]" |
| | dialogueSentences | 47 | | tagDensity | 0.404 | | leniency | 0.809 | | rawRatio | 0.158 | | effectiveRatio | 0.128 | |
| 90.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1036 | | totalAiIsmAdverbs | 2 | | 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 | 1036 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "shattered" | | 1 | "loomed" | | 2 | "whisper" | | 3 | "tracing" | | 4 | "shimmered" | | 5 | "scanned" | | 6 | "magnetic" | | 7 | "gleaming" | | 8 | "spectral" | | 9 | "pulse" | | 10 | "furrowed" | | 11 | "etched" | | 12 | "quivered" | | 13 | "otherworldly" | | 14 | "jaw clenched" | | 15 | "pristine" | | 16 | "warmth" | | 17 | "standard" | | 18 | "grappling" | | 19 | "echoed" | | 20 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 79 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 79 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 106 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1025 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 672 | | uniqueNames | 6 | | maxNameDensity | 3.13 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 21 | | Bennett | 13 | | Kowalski | 1 | | Eva | 10 | | Steel | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Bennett" | | 3 | "Kowalski" | | 4 | "Eva" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 1 | | matches | | 0 | "as if grappling with belief and duty" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.976 | | wordCount | 1025 | | matches | | 0 | "not just the market itself, but the energy sources feeding it" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 106 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 67 | | mean | 15.3 | | std | 9.2 | | cv | 0.602 | | sampleLengths | | 0 | 20 | | 1 | 49 | | 2 | 25 | | 3 | 32 | | 4 | 19 | | 5 | 18 | | 6 | 19 | | 7 | 12 | | 8 | 15 | | 9 | 33 | | 10 | 30 | | 11 | 6 | | 12 | 16 | | 13 | 23 | | 14 | 3 | | 15 | 18 | | 16 | 4 | | 17 | 23 | | 18 | 17 | | 19 | 9 | | 20 | 24 | | 21 | 8 | | 22 | 9 | | 23 | 17 | | 24 | 5 | | 25 | 34 | | 26 | 29 | | 27 | 7 | | 28 | 15 | | 29 | 19 | | 30 | 22 | | 31 | 25 | | 32 | 17 | | 33 | 10 | | 34 | 13 | | 35 | 32 | | 36 | 14 | | 37 | 16 | | 38 | 14 | | 39 | 3 | | 40 | 4 | | 41 | 9 | | 42 | 16 | | 43 | 8 | | 44 | 17 | | 45 | 12 | | 46 | 23 | | 47 | 4 | | 48 | 6 | | 49 | 20 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 129 | | matches | (empty) | |
| 35.04% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 106 | | ratio | 0.038 | | matches | | 0 | "The muted hum of night traffic buzzed like a distant warning, but Quinn caught something else—a whisper beneath." | | 1 | "Below the slab hovered a swirling fissure—black, pulsing, whispering of cold voids." | | 2 | "A dark shape lunged from the shadows—human in form but movements unnatural, too fluid, too fast." | | 3 | "Instinct seized Quinn; baton swung with precise force." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 676 | | adjectiveStacks | 1 | | stackExamples | | 0 | "sharp behind thick spectacles." |
| | adverbCount | 21 | | adverbRatio | 0.03106508875739645 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.01775147928994083 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 106 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 106 | | mean | 9.67 | | std | 5.61 | | cv | 0.58 | | sampleLengths | | 0 | 5 | | 1 | 15 | | 2 | 17 | | 3 | 22 | | 4 | 6 | | 5 | 4 | | 6 | 15 | | 7 | 10 | | 8 | 8 | | 9 | 24 | | 10 | 7 | | 11 | 12 | | 12 | 18 | | 13 | 19 | | 14 | 4 | | 15 | 8 | | 16 | 9 | | 17 | 6 | | 18 | 11 | | 19 | 17 | | 20 | 5 | | 21 | 10 | | 22 | 10 | | 23 | 10 | | 24 | 6 | | 25 | 4 | | 26 | 7 | | 27 | 5 | | 28 | 12 | | 29 | 11 | | 30 | 3 | | 31 | 18 | | 32 | 4 | | 33 | 6 | | 34 | 17 | | 35 | 17 | | 36 | 3 | | 37 | 6 | | 38 | 8 | | 39 | 16 | | 40 | 8 | | 41 | 9 | | 42 | 15 | | 43 | 2 | | 44 | 5 | | 45 | 27 | | 46 | 7 | | 47 | 10 | | 48 | 19 | | 49 | 5 |
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| 73.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.4528301886792453 | | totalSentences | 106 | | uniqueOpeners | 48 | |
| 46.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 72 | | matches | | 0 | "Just an unnatural stillness." |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 72 | | matches | | 0 | "His youthful eagerness was a" | | 1 | "she muttered, fingers tracing the" | | 2 | "She pulled a leather notebook" | | 3 | "Her eyes shifted to the" | | 4 | "It lay flat, coated in" | | 5 | "Her palm hovered, hesitant" | | 6 | "He flinched as if at" | | 7 | "she tapped the shard" | | 8 | "She scanned the narrow alley" | | 9 | "She crouched, finger hovering just" | | 10 | "Her green eyes darted over" | | 11 | "She stood, eyes sweeping their" | | 12 | "he hissed, eyes wide" | | 13 | "Her hand shook briefly before" | | 14 | "she said, breath sharp" |
| | ratio | 0.208 | |
| 8.61% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 72 | | matches | | 0 | "Detective Harlow Quinn crouched on" | | 1 | "A graffitied wall loomed like" | | 2 | "The body inside wore no" | | 3 | "DS Bennett said, flicking his" | | 4 | "His youthful eagerness was a" | | 5 | "Quinn’s gaze didn’t leave the" | | 6 | "Bennett checked his notes, his" | | 7 | "The muted hum of night" | | 8 | "she muttered, fingers tracing the" | | 9 | "Bennett crouched beside her." | | 10 | "Quinn snapped, voice low" | | 11 | "She pulled a leather notebook" | | 12 | "Photos from the scene weeks" | | 13 | "The burned remains hardly matched." | | 14 | "Her eyes shifted to the" | | 15 | "It lay flat, coated in" | | 16 | "Her palm hovered, hesitant" | | 17 | "Bennett’s fingers brushed it." | | 18 | "He flinched as if at" | | 19 | "Quinn said quietly, scraping at" |
| | ratio | 0.903 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 60.44% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 3 | | matches | | 0 | "Eva unsnapped the satchel, revealing a small brass compass etched with faded sigils, its verdigris casing catching the torchlight." | | 1 | "She stood, eyes sweeping their surroundings, catching that faint trace of silver dust again." | | 2 | "Bennett’s jaw tightened as if grappling with belief and duty." |
| |
| 46.05% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn snapped, voice low" | | 1 | "Her palm hovered, hesitant" | | 2 | "he hissed, eyes wide" |
| |
| 22.34% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 6 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "Quinn snapped (snap)" | | 2 | "Quinn demanded (demand)" | | 3 | "he hissed (hiss)" | | 4 | "she muttered (mutter)" | | 5 | "Quinn agreed (agree)" |
| | dialogueSentences | 47 | | tagDensity | 0.298 | | leniency | 0.596 | | rawRatio | 0.429 | | effectiveRatio | 0.255 | |