| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.346 | | leniency | 0.692 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 77.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 890 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "slightly" | | 2 | "really" |
| |
| 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) | |
| 60.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 890 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "electric" | | 1 | "vibrated" | | 2 | "structure" | | 3 | "pulse" | | 4 | "trembled" | | 5 | "echoed" | | 6 | "flickered" |
| |
| 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 | 0 | | hedgeCount | 0 | | narrationSentences | 107 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 124 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 28 | | totalWords | 875 | | ratio | 0.032 | | matches | | 0 | "beside" | | 1 | "Quiet men don’t end up in abandoned tunnels with ceremonial knives beside them" | | 2 | "And quiet men don’t have occult sigils on their wrists." | | 3 | "click" | | 4 | "expected" | | 5 | "him" | | 6 | "He" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.29% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 664 | | uniqueNames | 11 | | maxNameDensity | 1.05 | | worstName | "Rook" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 6 | | Rook | 7 | | Charing | 1 | | Cross | 1 | | Strand | 1 | | Ministry | 1 | | Defence | 1 | | Morris | 1 | | Cold | 1 | | War | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Rook" | | 3 | "Defence" | | 4 | "Morris" |
| | places | (empty) | | globalScore | 0.973 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 2.286 | | wordCount | 875 | | matches | | 0 | "not north, but in tight, erratic circles, then snapped to stillness, pointi" | | 1 | "not to push him, but to tilt his collar aside" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 124 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 15.35 | | std | 13.2 | | cv | 0.86 | | sampleLengths | | 0 | 10 | | 1 | 58 | | 2 | 16 | | 3 | 23 | | 4 | 5 | | 5 | 25 | | 6 | 57 | | 7 | 16 | | 8 | 42 | | 9 | 5 | | 10 | 5 | | 11 | 16 | | 12 | 10 | | 13 | 37 | | 14 | 15 | | 15 | 5 | | 16 | 15 | | 17 | 25 | | 18 | 23 | | 19 | 4 | | 20 | 27 | | 21 | 26 | | 22 | 8 | | 23 | 30 | | 24 | 4 | | 25 | 27 | | 26 | 7 | | 27 | 7 | | 28 | 5 | | 29 | 26 | | 30 | 17 | | 31 | 6 | | 32 | 30 | | 33 | 13 | | 34 | 13 | | 35 | 6 | | 36 | 7 | | 37 | 46 | | 38 | 17 | | 39 | 20 | | 40 | 1 | | 41 | 8 | | 42 | 5 | | 43 | 11 | | 44 | 18 | | 45 | 2 | | 46 | 3 | | 47 | 12 | | 48 | 14 | | 49 | 2 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 107 | | matches | | |
| 92.47% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 124 | | matches | | 0 | "wasn’t reacting" | | 1 | "was reacting" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 124 | | ratio | 0.089 | | matches | | 0 | "Her eyes tracked the dead man’s hands—palms down, fingers splayed, no defensive wounds, no tremors in death." | | 1 | "She turned slowly, taking in the space—a forgotten storage room beneath Charing Cross, part of the old network of service tunnels buried beneath the Strand." | | 2 | "And beneath that—something else." | | 3 | "Just a small tattoo on the inside of his wrist—three interlocking spirals, ink faded but precise." | | 4 | "Inside—a small brass compass, caked in verdigris." | | 5 | "Her boots landed on a square tile that didn’t match the others—slightly darker, slightly raised." | | 6 | "Bricks shifted, sliding sideways like gears turning, revealing a narrow passage beyond—curved, lined with smooth black stone, walls humming with a low, subsonic vibration." | | 7 | "And his left hand—clenched into a fist, but she saw it twitch." | | 8 | "And the compass—still pointing at the wall—had begun to spin wildly the moment he stepped near." | | 9 | "And worse—the needle wasn’t reacting to the portal." | | 10 | "And the needle—now steady—pointed straight at Rook’s chest." |
| |
| 98.92% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 679 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.041237113402061855 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.008836524300441826 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 124 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 124 | | mean | 7.06 | | std | 5.88 | | cv | 0.833 | | sampleLengths | | 0 | 6 | | 1 | 4 | | 2 | 16 | | 3 | 20 | | 4 | 22 | | 5 | 10 | | 6 | 6 | | 7 | 3 | | 8 | 17 | | 9 | 1 | | 10 | 2 | | 11 | 5 | | 12 | 25 | | 13 | 2 | | 14 | 6 | | 15 | 25 | | 16 | 11 | | 17 | 6 | | 18 | 7 | | 19 | 4 | | 20 | 1 | | 21 | 2 | | 22 | 9 | | 23 | 9 | | 24 | 13 | | 25 | 2 | | 26 | 2 | | 27 | 9 | | 28 | 7 | | 29 | 5 | | 30 | 3 | | 31 | 2 | | 32 | 16 | | 33 | 2 | | 34 | 8 | | 35 | 3 | | 36 | 13 | | 37 | 3 | | 38 | 2 | | 39 | 16 | | 40 | 3 | | 41 | 5 | | 42 | 3 | | 43 | 4 | | 44 | 5 | | 45 | 15 | | 46 | 15 | | 47 | 10 | | 48 | 11 | | 49 | 5 |
| |
| 75.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4838709677419355 | | totalSentences | 124 | | uniqueOpeners | 60 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 77 | | matches | | 0 | "Just a twelve-inch silver dagger" | | 1 | "Just a small tattoo on" | | 2 | "Then she saw it." | | 3 | "Then a shudder beneath her" |
| | ratio | 0.052 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 77 | | matches | | 0 | "It was *beside* it." | | 1 | "Her eyes tracked the dead" | | 2 | "Her shadow fell across the" | | 3 | "She turned slowly, taking in" | | 4 | "She stepped over the threshold," | | 5 | "She knelt again, touched it" | | 6 | "She moved to the body," | | 7 | "Her breath caught." | | 8 | "She’d seen that symbol before." | | 9 | "she asked, voice low" | | 10 | "She turned to the shelves," | | 11 | "She pulled it out." | | 12 | "She slit it open with" | | 13 | "Her boots landed on a" | | 14 | "She pressed down." | | 15 | "She stepped into the passage." | | 16 | "She looked at him." | | 17 | "His pupils were dilated." | | 18 | "She reached out, not to" | | 19 | "She gestured to the tile" |
| | ratio | 0.299 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 77 | | matches | | 0 | "The knife wasn’t in the" | | 1 | "It was *beside* it." | | 2 | "Detective Harlow Quinn crouched, her" | | 3 | "Quinn didn’t move." | | 4 | "Her eyes tracked the dead" | | 5 | "Her shadow fell across the" | | 6 | "She turned slowly, taking in" | | 7 | "A single flickering bulb buzzed" | | 8 | "The air tasted of iron" | | 9 | "She stepped over the threshold," | | 10 | "A trail of fine white" | | 11 | "She knelt again, touched it" | | 12 | "Rook didn’t look." | | 13 | "Quinn ignored him." | | 14 | "She moved to the body," | | 15 | "Her breath caught." | | 16 | "She’d seen that symbol before." | | 17 | "The night he died." | | 18 | "she asked, voice low" | | 19 | "She turned to the shelves," |
| | ratio | 0.649 | |
| 64.94% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 77 | | matches | | 0 | "*And quiet men don’t have" |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 1 | | matches | | 0 | "Just a twelve-inch silver dagger lying flat on the floor, tip pointing away from the body, as if placed there with ceremony." |
| |
| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "she asked, voice low" | | 1 | "she said, voice flat" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.269 | | leniency | 0.538 | | rawRatio | 0 | | effectiveRatio | 0 | |