| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 55 | | tagDensity | 0.291 | | leniency | 0.582 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.49% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2217 | | 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) | |
| 68.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2217 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "shimmered" | | 1 | "vibrated" | | 2 | "etching" | | 3 | "trembled" | | 4 | "pulsed" | | 5 | "anticipation" | | 6 | "scanned" | | 7 | "unspoken" | | 8 | "flickered" | | 9 | "eyebrow" | | 10 | "flicked" | | 11 | "flicker" | | 12 | "traced" |
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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 | 188 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 188 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 225 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 13 | | totalWords | 2211 | | ratio | 0.006 | | matches | | 0 | "Thorne & Ash, Dismantle the World, 5/23" | | 1 | "Jabberwock Ink Co" | | 2 | "what" | | 3 | "old family" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 112 | | wordCount | 1647 | | uniqueNames | 26 | | maxNameDensity | 2.61 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 43 | | Veil | 1 | | Market | 3 | | Mel | 1 | | Brightwell | 3 | | Thomas | 1 | | Hargrove | 5 | | Compass | 13 | | Tube | 2 | | Morris | 3 | | Comms | 1 | | Head | 1 | | Jack | 21 | | Canary | 1 | | Wharf | 1 | | Ash | 1 | | Dismantle | 1 | | World | 1 | | Ink | 1 | | Cairo | 1 | | Tunnels | 1 | | Lightning | 1 | | Shroudbeast | 1 | | Jameson | 1 | | Scheme | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Mel" | | 4 | "Brightwell" | | 5 | "Thomas" | | 6 | "Hargrove" | | 7 | "Compass" | | 8 | "Morris" | | 9 | "Head" | | 10 | "Jack" | | 11 | "Ink" | | 12 | "Lightning" | | 13 | "Jameson" |
| | places | | 0 | "Canary" | | 1 | "Ash" | | 2 | "World" | | 3 | "Cairo" |
| | globalScore | 0.195 | | windowScore | 0 | |
| 88.02% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 121 | | glossingSentenceCount | 3 | | matches | | 0 | "tasted like dry earth" | | 1 | "felt like a blade to the throat" | | 2 | "as though recoiling" |
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| 19.09% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 4 | | per1kWords | 1.809 | | wordCount | 2211 | | matches | | 0 | "Not missing, not alert, but a slow coil of anticipation" | | 1 | "not alert, but a slow coil of anticipation" | | 2 | "not once but thrice" | | 3 | "Not pointing toward the Market now but the outside world" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 225 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 35.1 | | std | 19.62 | | cv | 0.559 | | sampleLengths | | 0 | 79 | | 1 | 57 | | 2 | 54 | | 3 | 50 | | 4 | 30 | | 5 | 19 | | 6 | 66 | | 7 | 10 | | 8 | 33 | | 9 | 39 | | 10 | 10 | | 11 | 65 | | 12 | 28 | | 13 | 45 | | 14 | 76 | | 15 | 21 | | 16 | 78 | | 17 | 69 | | 18 | 20 | | 19 | 60 | | 20 | 12 | | 21 | 40 | | 22 | 11 | | 23 | 59 | | 24 | 34 | | 25 | 2 | | 26 | 34 | | 27 | 59 | | 28 | 45 | | 29 | 7 | | 30 | 42 | | 31 | 9 | | 32 | 50 | | 33 | 6 | | 34 | 46 | | 35 | 46 | | 36 | 21 | | 37 | 25 | | 38 | 43 | | 39 | 41 | | 40 | 26 | | 41 | 24 | | 42 | 19 | | 43 | 28 | | 44 | 3 | | 45 | 32 | | 46 | 13 | | 47 | 26 | | 48 | 18 | | 49 | 58 |
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| 99.66% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 188 | | matches | | 0 | "been seven" | | 1 | "been touched" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 296 | | matches | (empty) | |
| 66.67% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 225 | | ratio | 0.027 | | matches | | 0 | "Her mission registered—securing evidence of the unnatural—while her mouth tasted like dry earth." | | 1 | "The signature line read *Jabberwock Ink Co*—an alchemical firm arrested four months earlier for smuggling marrow." | | 2 | "The body’s postural rigidity suggested a clenched grasp—on what?" | | 3 | "The probe moved in the hand over the catchphrase—the one who’d died not once but thrice." | | 4 | "A bead of flicker from the recording—there." | | 5 | "The creature’s eyes—green, like a number of people in this city." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1658 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.022316043425814235 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.0048250904704463205 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 225 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 225 | | mean | 9.83 | | std | 6.54 | | cv | 0.666 | | sampleLengths | | 0 | 12 | | 1 | 14 | | 2 | 7 | | 3 | 25 | | 4 | 15 | | 5 | 6 | | 6 | 14 | | 7 | 17 | | 8 | 10 | | 9 | 16 | | 10 | 4 | | 11 | 18 | | 12 | 12 | | 13 | 12 | | 14 | 8 | | 15 | 5 | | 16 | 4 | | 17 | 13 | | 18 | 5 | | 19 | 3 | | 20 | 3 | | 21 | 17 | | 22 | 11 | | 23 | 6 | | 24 | 11 | | 25 | 2 | | 26 | 8 | | 27 | 11 | | 28 | 3 | | 29 | 18 | | 30 | 15 | | 31 | 9 | | 32 | 8 | | 33 | 13 | | 34 | 7 | | 35 | 3 | | 36 | 14 | | 37 | 4 | | 38 | 15 | | 39 | 19 | | 40 | 5 | | 41 | 5 | | 42 | 10 | | 43 | 3 | | 44 | 3 | | 45 | 4 | | 46 | 9 | | 47 | 19 | | 48 | 13 | | 49 | 8 |
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| 47.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.30666666666666664 | | totalSentences | 225 | | uniqueOpeners | 69 | |
| 97.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 171 | | matches | | 0 | "Just the man and his" | | 1 | "Then the light shifted black," | | 2 | "Then, a slow circle." | | 3 | "Oddly, so would Jameson." | | 4 | "More importantly, not pointing away" |
| | ratio | 0.029 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 171 | | matches | | 0 | "His smartphone still vibrated with" | | 1 | "She crouched, prodding the wound" | | 2 | "She rotated her hand." | | 3 | "Her gaze swept the scene." | | 4 | "She’d rigged it to her" | | 5 | "She grabbed the satchel at" | | 6 | "She angled the reflection toward" | | 7 | "She stepped over the tape" | | 8 | "Her thumb pressed the gap." | | 9 | "Her mission registered—securing evidence of" | | 10 | "She tilted her own screen," | | 11 | "They’d both nearly gotten eaten" | | 12 | "She aimed the satchel at" | | 13 | "She pressed a finger into" | | 14 | "She’d learned to wait for" | | 15 | "Her mind replayed the scene" | | 16 | "His report had gone missing." | | 17 | "She shifted back to the" | | 18 | "Her nose brushed a fallen" | | 19 | "She turned to the DS" |
| | ratio | 0.187 | |
| 3.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 156 | | totalSentences | 171 | | matches | | 0 | "Detective Harlow Quinn exhaled slow" | | 1 | "The Veil Market sprawled around" | | 2 | "Oil lamps hissed in their" | | 3 | "Stalls collapsed in uneven lines," | | 4 | "A tattered map on the" | | 5 | "Quinn’s boot crunched over something" | | 6 | "The body lay on a" | | 7 | "DS Mel Brightwell crouched nearby," | | 8 | "Quinn narrowed her eyes." | | 9 | "The man’s name was Thomas" | | 10 | "His smartphone still vibrated with" | | 11 | "She crouched, prodding the wound" | | 12 | "A faint copper stank clung" | | 13 | "She rotated her hand." | | 14 | "The wound’s edges were smooth" | | 15 | "Her gaze swept the scene." | | 16 | "The Compass sat in her" | | 17 | "She’d rigged it to her" | | 18 | "Shade artisans didn’t craft failure," | | 19 | "the DS muttered" |
| | ratio | 0.912 | |
| 29.24% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 171 | | matches | | 0 | "Now the woman’s stubbornness felt" |
| | ratio | 0.006 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 71 | | technicalSentenceCount | 3 | | matches | | 0 | "Stalls collapsed in uneven lines, the mudded sheets littered with broken knickknacks: jars of a liquid that shimmered black and caught the light like teeth." | | 1 | "The man’s name was Thomas Hargrove, his employer a gaming company that hadn’t filed taxes in a decade." | | 2 | "The seller wore a mask of yak and brass coat, the set pieces mutating at intervals: skin sizzling to ash between breaths, the compass shaking as though recoilin…" |
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| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | 0 | "Brightwell said, her boots scuffing" |
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| 95.45% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "the DS muttered (mutter)" | | 1 | "she snapped (snap)" | | 2 | "Jack mumbled (mumble)" |
| | dialogueSentences | 55 | | tagDensity | 0.164 | | leniency | 0.327 | | rawRatio | 0.333 | | effectiveRatio | 0.109 | |