| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva said calmly [calmly]" |
| | dialogueSentences | 46 | | tagDensity | 0.283 | | leniency | 0.565 | | rawRatio | 0.077 | | effectiveRatio | 0.043 | |
| 86.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1100 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "tightly" | | 1 | "slowly" | | 2 | "carefully" |
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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) | |
| 36.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1100 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "shattered" | | 1 | "echoing" | | 2 | "pulsed" | | 3 | "flickered" | | 4 | "perfect" | | 5 | "mechanical" | | 6 | "familiar" | | 7 | "pulse" | | 8 | "etched" | | 9 | "scanned" | | 10 | "silence" | | 11 | "shimmered" | | 12 | "quivered" | | 13 | "unwavering" |
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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 | 107 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 107 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 138 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1086 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 733 | | uniqueNames | 6 | | maxNameDensity | 1.5 | | worstName | "Eva" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Eva" | | discoveredNames | | Harlow | 10 | | Quinn | 8 | | Morris | 1 | | Eva | 11 | | Silence | 1 | | Flipped | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Eva" |
| | places | (empty) | | globalScore | 0.75 | | windowScore | 0 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like powdered glass but wasn’t" | | 1 | "looked like crushed beetle shells: a spir" | | 2 | "something like this before—once" |
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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 | 1086 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 138 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 69 | | mean | 15.74 | | std | 16.29 | | cv | 1.035 | | sampleLengths | | 0 | 73 | | 1 | 4 | | 2 | 38 | | 3 | 16 | | 4 | 32 | | 5 | 54 | | 6 | 2 | | 7 | 74 | | 8 | 5 | | 9 | 26 | | 10 | 5 | | 11 | 4 | | 12 | 22 | | 13 | 5 | | 14 | 31 | | 15 | 2 | | 16 | 31 | | 17 | 3 | | 18 | 35 | | 19 | 5 | | 20 | 5 | | 21 | 2 | | 22 | 2 | | 23 | 54 | | 24 | 6 | | 25 | 13 | | 26 | 8 | | 27 | 13 | | 28 | 11 | | 29 | 10 | | 30 | 5 | | 31 | 18 | | 32 | 4 | | 33 | 17 | | 34 | 6 | | 35 | 19 | | 36 | 35 | | 37 | 34 | | 38 | 3 | | 39 | 12 | | 40 | 7 | | 41 | 15 | | 42 | 14 | | 43 | 11 | | 44 | 41 | | 45 | 7 | | 46 | 16 | | 47 | 8 | | 48 | 16 | | 49 | 30 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 107 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 150 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 138 | | ratio | 0.065 | | matches | | 0 | "The ceiling had collapsed in a perfect circle, revealing a cavity in the tunnel above—too symmetrical for structural failure." | | 1 | "Her watch ticked—a mechanical beat against her wrist, steady, familiar." | | 2 | "But the skin—gray, tight, desiccated, like parchment left too long in firelight." | | 3 | "It spun slowly, like a metronome losing power, then froze—twitching toward the broken wall." | | 4 | "She’d seen something like this before—once." | | 5 | "She paused just outside the chalk outline, tucking a curl behind her left ear—a nervous habit, Harlow noted." | | 6 | "One of the uniforms laughed—nervous, shaky." | | 7 | "It clung—like powder mixed with resin." | | 8 | "Harlow picked it up—cold brass against her glove." |
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| 99.81% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 746 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.040214477211796246 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.00804289544235925 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 138 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 138 | | mean | 7.87 | | std | 6.02 | | cv | 0.765 | | sampleLengths | | 0 | 22 | | 1 | 21 | | 2 | 19 | | 3 | 11 | | 4 | 2 | | 5 | 2 | | 6 | 3 | | 7 | 19 | | 8 | 16 | | 9 | 8 | | 10 | 8 | | 11 | 9 | | 12 | 10 | | 13 | 13 | | 14 | 21 | | 15 | 1 | | 16 | 10 | | 17 | 22 | | 18 | 2 | | 19 | 23 | | 20 | 13 | | 21 | 3 | | 22 | 3 | | 23 | 12 | | 24 | 20 | | 25 | 5 | | 26 | 7 | | 27 | 19 | | 28 | 5 | | 29 | 4 | | 30 | 10 | | 31 | 4 | | 32 | 5 | | 33 | 3 | | 34 | 5 | | 35 | 6 | | 36 | 15 | | 37 | 10 | | 38 | 2 | | 39 | 12 | | 40 | 5 | | 41 | 14 | | 42 | 3 | | 43 | 6 | | 44 | 9 | | 45 | 3 | | 46 | 7 | | 47 | 10 | | 48 | 5 | | 49 | 5 |
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| 61.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.4057971014492754 | | totalSentences | 138 | | uniqueOpeners | 56 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 82 | | matches | | 0 | "Then she saw the hand." | | 1 | "Then at the compass." | | 2 | "Then at the dead man" | | 3 | "Too many pieces didn’t fit." |
| | ratio | 0.049 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 82 | | matches | | 0 | "She knelt, scooped a pinch" | | 1 | "She looked up." | | 2 | "she said, standing" | | 3 | "Her watch ticked—a mechanical beat" | | 4 | "She descended the corroded stairs," | | 5 | "She circled the body, careful" | | 6 | "Her sharp jaw tightened." | | 7 | "She knelt, used her pen" | | 8 | "It spun slowly, like a" | | 9 | "She’d seen something like this" | | 10 | "She paused just outside the" | | 11 | "She reached into her satchel," | | 12 | "She used her pen to" | | 13 | "It didn’t scatter." | | 14 | "It clung—like powder mixed with" | | 15 | "She lifted the pen." | | 16 | "She glanced at Eva." | | 17 | "She tucked the compass into" |
| | ratio | 0.22 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 82 | | matches | | 0 | "Rainwater dripped through the shattered" | | 1 | "The red emergency lights of" | | 2 | "Detective Harlow Quinn stepped onto" | | 3 | "She knelt, scooped a pinch" | | 4 | "She looked up." | | 5 | "The ceiling had collapsed in" | | 6 | "A constable in high-vis approached," | | 7 | "she said, standing" | | 8 | "Her watch ticked—a mechanical beat" | | 9 | "She descended the corroded stairs," | | 10 | "A forensic tech in a" | | 11 | "The body lay fifteen feet" | | 12 | "Harlow cut in" | | 13 | "The tech didn’t answer." | | 14 | "She circled the body, careful" | | 15 | "Her sharp jaw tightened." | | 16 | "This wasn’t crime scene work." | | 17 | "This was theatre." | | 18 | "The victim’s right palm faced" | | 19 | "She knelt, used her pen" |
| | ratio | 0.683 | |
| 60.98% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 82 | | matches | | 0 | "Now here it was again." |
| | ratio | 0.012 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 4 | | matches | | 0 | "The red emergency lights of police vans pulsed beyond the boarded-up entrance, casting long shadows that flickered like dying gas lamps." | | 1 | "A forensic tech in a blue suit crouched near the platform edge, gloved hands hovered over smudges that didn’t look like blood." | | 2 | "The body lay fifteen feet from the tunnel wall, arms outstretched, one leg bent beneath the torso as if it had fallen mid-sprint." | | 3 | "Traces glistened under her torchlight: faint particles that shimmered, then faded." |
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| 86.54% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 1 | | matches | | 0 | "high-vis approached, voice tight" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 46 | | tagDensity | 0.239 | | leniency | 0.478 | | rawRatio | 0 | | effectiveRatio | 0 | |