| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1095 | | totalAiIsmAdverbs | 1 | | 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) | |
| 77.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1095 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "silence" | | 1 | "glint" | | 2 | "flicker" | | 3 | "echo" | | 4 | "echoes" |
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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 | 116 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 116 | | filterMatches | | 0 | "know" | | 1 | "watch’s" | | 2 | "watch" |
| | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 125 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 8 | | markdownWords | 17 | | totalWords | 1071 | | ratio | 0.016 | | matches | | 0 | "Not a bookshelf" | | 1 | "A door." | | 2 | "creak" | | 3 | "clink" | | 4 | "Tomás" | | 5 | "Magic" | | 6 | "rumble" | | 7 | "“Quinn, they’re not just people. You can’t—”" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 998 | | uniqueNames | 6 | | maxNameDensity | 1.3 | | worstName | "Tomás" | | maxWindowNameDensity | 3 | | worstWindowName | "Tomás" | | discoveredNames | | Quinn | 9 | | Morris | 2 | | Tomás | 13 | | Spanish | 1 | | Christopher | 1 | | Can | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Tomás" | | 3 | "Christopher" | | 4 | "Can" |
| | places | (empty) | | globalScore | 0.849 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 78 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 13.26% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.867 | | wordCount | 1071 | | matches | | 0 | "not from fear, but from the press of her service weapon" | | 1 | "Not a physical burn, but a ache, like her watch’s metal has seared into her skin" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 125 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 32.45 | | std | 21.38 | | cv | 0.659 | | sampleLengths | | 0 | 79 | | 1 | 41 | | 2 | 69 | | 3 | 45 | | 4 | 54 | | 5 | 73 | | 6 | 46 | | 7 | 53 | | 8 | 56 | | 9 | 40 | | 10 | 55 | | 11 | 41 | | 12 | 52 | | 13 | 8 | | 14 | 22 | | 15 | 16 | | 16 | 11 | | 17 | 29 | | 18 | 7 | | 19 | 42 | | 20 | 18 | | 21 | 12 | | 22 | 41 | | 23 | 16 | | 24 | 4 | | 25 | 41 | | 26 | 3 | | 27 | 26 | | 28 | 32 | | 29 | 10 | | 30 | 6 | | 31 | 15 | | 32 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 116 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 182 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 27 | | semicolonCount | 1 | | flaggedSentences | 22 | | totalSentences | 125 | | ratio | 0.176 | | matches | | 0 | "The suspect—lean, dark coat flapping—cuts left, colliding with a lamppost." | | 1 | "His boots click on a grate—storm drain, she bets—scrabbling for purchase on the wet metal." | | 2 | "Trash bins number two, three—knocked over, lids clattering." | | 3 | "*A door.* The suspect’s hand brushes the top shelf, and—*creak*—it swings open, revealing a staircase spiraling down." | | 4 | "The air below smells of damp stone and something sweeter—rot?" | | 5 | "A distant *clink*—a glass, maybe." | | 6 | "Light glows from cracks in the walls—fairy lights, maybe, or magic." | | 7 | "She rounds a corner, and it unfolds—stalls lined up like a street market, but for beaks that click, scales that glint, antlers that brush the ceiling." | | 8 | "A vendor with a goat’s head grinds herbs in a mortar; a woman with skin like water holds up a glowing ring, its light shifting from blue to gold." | | 9 | "The suspect’s coat is gone, now—just a dark shirt, sleeves rolled up, a scar snaking up his forearm." | | 10 | "He freezes, then snatches a small bone from his pocket—carved, ridged—and holds it up." | | 11 | "A goblin hisses, swiping at her ankle—she kicks, sends it sprawling." | | 12 | "“Move,” she growls, and he steps aside, eyes flicking to the bone in her pocket—her only token, the one Morris gave her before…" | | 13 | "He howls—half man, half dog—and she breaks free." | | 14 | "But she hears him—low, rapid speech—in a back corner, where stalls are shielded by tattered curtains." | | 15 | "The curtain at the back is thin—she parts it, and her breath catches." | | 16 | "On it: a vial, glowing green, and a phone—bright, illuminating the face." | | 17 | "She pulls the trigger—once, twice." | | 18 | "Then a *rumble*—the bookshelf sliding open." | | 19 | "The market is loud again—shouts, laughter, the clatter of stalls." | | 20 | "She calls out, but he doesn’t hear—too close to the light." | | 21 | "Below, the market is dim, but she can see Tomás haggling with a stranger—a man with no eyes, his sockets glowing." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 775 | | adjectiveStacks | 1 | | stackExamples | | 0 | "suspect—lean, dark coat" |
| | adverbCount | 16 | | adverbRatio | 0.02064516129032258 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003870967741935484 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 125 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 125 | | mean | 8.57 | | std | 5.53 | | cv | 0.645 | | sampleLengths | | 0 | 8 | | 1 | 12 | | 2 | 10 | | 3 | 15 | | 4 | 12 | | 5 | 7 | | 6 | 15 | | 7 | 4 | | 8 | 5 | | 9 | 3 | | 10 | 29 | | 11 | 5 | | 12 | 8 | | 13 | 13 | | 14 | 21 | | 15 | 5 | | 16 | 17 | | 17 | 5 | | 18 | 16 | | 19 | 10 | | 20 | 1 | | 21 | 1 | | 22 | 5 | | 23 | 5 | | 24 | 2 | | 25 | 8 | | 26 | 8 | | 27 | 7 | | 28 | 12 | | 29 | 11 | | 30 | 8 | | 31 | 18 | | 32 | 26 | | 33 | 29 | | 34 | 14 | | 35 | 18 | | 36 | 3 | | 37 | 2 | | 38 | 6 | | 39 | 3 | | 40 | 6 | | 41 | 14 | | 42 | 7 | | 43 | 17 | | 44 | 9 | | 45 | 2 | | 46 | 9 | | 47 | 11 | | 48 | 10 | | 49 | 23 |
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| 48.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3170731707317073 | | totalSentences | 123 | | uniqueOpeners | 39 | |
| 64.72% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 103 | | matches | | 0 | "Slowly, he turns." | | 1 | "Then a *rumble*—the bookshelf sliding" |
| | ratio | 0.019 | |
| 84.08% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 103 | | matches | | 0 | "He staggers, snatches a newspaper" | | 1 | "He grunts, drops the paper," | | 2 | "His boots click on a" | | 3 | "She doesn’t call out." | | 4 | "He turns down an alley." | | 5 | "He dips behind a wall," | | 6 | "She flicks the flashlight off." | | 7 | "She counts to ten, listens." | | 8 | "She follows it, her boots" | | 9 | "She rounds a corner, and" | | 10 | "He freezes, then snatches a" | | 11 | "He dives through, and the" | | 12 | "she growls, and he steps" | | 13 | "She reaches the wall where" | | 14 | "She presses her palm to" | | 15 | "She twists, slams her elbow" | | 16 | "He howls—half man, half dog—and" | | 17 | "She checks it: the leather’s" | | 18 | "She picks her way through," | | 19 | "He’s talking, his Spanish thick" |
| | ratio | 0.34 | |
| 52.23% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 103 | | matches | | 0 | "Quinn’s boots squelch through puddles," | | 1 | "The suspect—lean, dark coat flapping—cuts" | | 2 | "He staggers, snatches a newspaper" | | 3 | "The vendor yells, but Quinn’s" | | 4 | "He grunts, drops the paper," | | 5 | "His boots click on a" | | 6 | "She doesn’t call out." | | 7 | "He turns down an alley." | | 8 | "Trash bins number two, three—knocked" | | 9 | "He dips behind a wall," | | 10 | "The wall’s a patchwork of" | | 11 | "*A door.* The suspect’s hand" | | 12 | "She flicks the flashlight off." | | 13 | "Heat bleeds from her palms," | | 14 | "The air below smells of" | | 15 | "She counts to ten, listens." | | 16 | "A distant *clink*—a glass, maybe." | | 17 | "Quinn eases the bookshelf open" | | 18 | "The steps are narrow, worn," | | 19 | "The space is taller than" |
| | ratio | 0.816 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 103 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 1 | | matches | | 0 | "Below, the market is dim, but she can see Tomás haggling with a stranger—a man with no eyes, his sockets glowing." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | |
| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "she growls (growl)" | | 1 | "she snaps (snap)" |
| | dialogueSentences | 14 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0.4 | | effectiveRatio | 0.286 | |