| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 66 | | tagDensity | 0.227 | | leniency | 0.455 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1996 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 79.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1996 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "charged" | | 1 | "tinged" | | 2 | "scanned" | | 3 | "processed" | | 4 | "mechanical" | | 5 | "comfortable" | | 6 | "familiar" | | 7 | "flickered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 135 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 135 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 186 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 61 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2020 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 1473 | | uniqueNames | 14 | | maxNameDensity | 0.75 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Marcus" | | discoveredNames | | Tuesday | 1 | | Raven | 1 | | Nest | 2 | | Silas | 7 | | Hale | 2 | | Rory | 11 | | Jameson | 4 | | Marcus | 9 | | Thursday | 1 | | March | 1 | | Evan | 1 | | Sian | 1 | | Scotch | 1 | | Pressed | 1 |
| | persons | | 0 | "Silas" | | 1 | "Hale" | | 2 | "Rory" | | 3 | "Jameson" | | 4 | "Marcus" | | 5 | "Evan" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.495 | | wordCount | 2020 | | matches | | 0 | "not flashy, but the kind of understated expensive" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 186 | | matches | | 0 | "hated that she" | | 1 | "noticed that, he'd" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 87 | | mean | 23.22 | | std | 25.84 | | cv | 1.113 | | sampleLengths | | 0 | 53 | | 1 | 13 | | 2 | 9 | | 3 | 28 | | 4 | 32 | | 5 | 11 | | 6 | 4 | | 7 | 55 | | 8 | 128 | | 9 | 11 | | 10 | 110 | | 11 | 30 | | 12 | 5 | | 13 | 7 | | 14 | 1 | | 15 | 40 | | 16 | 41 | | 17 | 1 | | 18 | 26 | | 19 | 1 | | 20 | 38 | | 21 | 3 | | 22 | 7 | | 23 | 2 | | 24 | 2 | | 25 | 101 | | 26 | 9 | | 27 | 1 | | 28 | 9 | | 29 | 18 | | 30 | 52 | | 31 | 37 | | 32 | 2 | | 33 | 2 | | 34 | 40 | | 35 | 5 | | 36 | 5 | | 37 | 50 | | 38 | 8 | | 39 | 22 | | 40 | 13 | | 41 | 2 | | 42 | 4 | | 43 | 54 | | 44 | 3 | | 45 | 21 | | 46 | 21 | | 47 | 3 | | 48 | 13 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 135 | | matches | | 0 | "was cropped" | | 1 | "being asked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 268 | | matches | | 0 | "was polishing" | | 1 | "was deciding" | | 2 | "was pretending" | | 3 | "was wearing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 186 | | ratio | 0.054 | | matches | | 0 | "Rory opened her mouth to protest, then caught her reflection in the mirrored shelf behind the bottles — the sharp line of her jaw, the bruise-colored hollows under her eyes from three consecutive nights of broken sleep." | | 1 | "He carried an umbrella — not a collapsible one, a proper full-length umbrella with a wooden handle — and he shook it once before leaning it against the wall near the door." | | 2 | "He wore a watch that caught the low light — not flashy, but the kind of understated expensive that whispered rather than shouted." | | 3 | "Reached for the Jameson — muscle memory, a small act of spite she didn't fully understand — and poured two fingers into a tumbler." | | 4 | "She watched him do it — watched the calculations run behind the composed exterior, the quiet reassessment of every assumption he'd carried about her for however many years it had been." | | 5 | "His jaw tightened at the Jameson — he'd always been a Scotch man, she remembered now, a pointless loyalty to his grandfather's tastes." | | 6 | "But freighted with something — a disappointment that wasn't his to carry, an expectation she'd never agreed to fulfill." | | 7 | "Not a real cough — a signal, an offer." | | 8 | "Because it meant he'd noticed back then, too — noticed the way she shrank, incremental, year by year, folding herself into smaller and more accommodating shapes." | | 9 | "The Jameson burned in a familiar way — her father's drink, and hers now too, reclaimed." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1289 | | adjectiveStacks | 1 | | stackExamples | | 0 | "tall, rain-darkened coat" |
| | adverbCount | 46 | | adverbRatio | 0.035686578743211794 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.0069821567106283944 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 186 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 186 | | mean | 10.86 | | std | 10.78 | | cv | 0.992 | | sampleLengths | | 0 | 15 | | 1 | 38 | | 2 | 13 | | 3 | 4 | | 4 | 5 | | 5 | 28 | | 6 | 9 | | 7 | 13 | | 8 | 10 | | 9 | 11 | | 10 | 4 | | 11 | 37 | | 12 | 4 | | 13 | 14 | | 14 | 3 | | 15 | 14 | | 16 | 28 | | 17 | 32 | | 18 | 2 | | 19 | 2 | | 20 | 31 | | 21 | 16 | | 22 | 8 | | 23 | 3 | | 24 | 3 | | 25 | 16 | | 26 | 22 | | 27 | 23 | | 28 | 4 | | 29 | 42 | | 30 | 14 | | 31 | 16 | | 32 | 5 | | 33 | 4 | | 34 | 3 | | 35 | 1 | | 36 | 2 | | 37 | 24 | | 38 | 7 | | 39 | 4 | | 40 | 3 | | 41 | 13 | | 42 | 28 | | 43 | 1 | | 44 | 8 | | 45 | 18 | | 46 | 1 | | 47 | 7 | | 48 | 4 | | 49 | 21 |
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| 49.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3118279569892473 | | totalSentences | 186 | | uniqueOpeners | 58 | |
| 29.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 113 | | matches | | 0 | "Really looked, the way people" |
| | ratio | 0.009 | |
| 39.47% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 113 | | matches | | 0 | "She set the crate down" | | 1 | "He folded the cloth once," | | 2 | "She closed her mouth." | | 3 | "He carried an umbrella —" | | 4 | "His gaze moved across the" | | 5 | "His expression said he was" | | 6 | "Her hands stopped." | | 7 | "He was different." | | 8 | "His hair, which she remembered" | | 9 | "He wore a watch that" | | 10 | "She knew it was him" | | 11 | "He picked up the cardboard" | | 12 | "She hadn't moved." | | 13 | "She set it in front" | | 14 | "Her hand was steady." | | 15 | "His eyes tracked from her" | | 16 | "He set the glass down" | | 17 | "His mouth opened, closed." | | 18 | "He looked at the bar" | | 19 | "He processed this." |
| | ratio | 0.451 | |
| 35.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 113 | | matches | | 0 | "The Tuesday crowd at The" | | 1 | "Rory balanced a crate of" | | 2 | "She set the crate down" | | 3 | "Silas didn't look up." | | 4 | "The corner of his mouth" | | 5 | "He folded the cloth once," | | 6 | "Rory opened her mouth to" | | 7 | "She closed her mouth." | | 8 | "The door opened." | | 9 | "A man stepped in, tall," | | 10 | "He carried an umbrella —" | | 11 | "His gaze moved across the" | | 12 | "His expression said he was" | | 13 | "Rory stacked the last glass" | | 14 | "Her hands stopped." | | 15 | "He was different." | | 16 | "The angles of his face" | | 17 | "His hair, which she remembered" | | 18 | "He wore a watch that" | | 19 | "She knew it was him" |
| | ratio | 0.85 | |
| 44.25% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 113 | | matches | | 0 | "Because it meant he'd noticed" |
| | ratio | 0.009 | |
| 44.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 7 | | matches | | 0 | "Rory balanced a crate of clean pint glasses against her hip and nudged the swinging door with her shoulder, stepping behind the bar where Silas was polishing th…" | | 1 | "A man stepped in, tall, rain-darkened coat hanging open over a charcoal suit that fit him like it had been cut by someone who charged by the stitch." | | 2 | "His gaze moved across the old maps pinned to the walls, the photographs yellowing in their frames, the green-tinged light that bled through the front window fro…" | | 3 | "He wore a watch that caught the low light — not flashy, but the kind of understated expensive that whispered rather than shouted." | | 4 | "Four years, two months, and some irrelevant number of days since she'd last stood in the same room with Marcus Hale, which had been the student union bar on a T…" | | 5 | "But freighted with something — a disappointment that wasn't his to carry, an expectation she'd never agreed to fulfill." | | 6 | "Inside, two people who'd known each other in a previous life sat close enough that their elbows nearly touched, wearing the years between like wet coats they ha…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 66 | | tagDensity | 0.121 | | leniency | 0.242 | | rawRatio | 0.125 | | effectiveRatio | 0.03 | |