| 75.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said quietly [quietly]" |
| | dialogueSentences | 11 | | tagDensity | 0.727 | | leniency | 1 | | rawRatio | 0.125 | | effectiveRatio | 0.125 | |
| 96.55% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1450 | | 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) | |
| 20.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1450 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "scanning" | | 1 | "pulse" | | 2 | "quickened" | | 3 | "lurched" | | 4 | "flickered" | | 5 | "echo" | | 6 | "footsteps" | | 7 | "footfall" | | 8 | "flicked" | | 9 | "gloom" | | 10 | "scanned" | | 11 | "weight" | | 12 | "clandestine" | | 13 | "calculating" | | 14 | "familiar" | | 15 | "trembled" | | 16 | "echoed" | | 17 | "velvet" | | 18 | "eyebrow" |
| |
| 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 | 1 | | narrationSentences | 138 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 138 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 140 | | 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 | 0 | | markdownWords | 0 | | totalWords | 1435 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1385 | | uniqueNames | 14 | | maxNameDensity | 1.16 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 2 | | Harlow | 1 | | Quinn | 16 | | Dean | 1 | | Street | 1 | | Raven | 1 | | Nest | 1 | | Veil | 4 | | Market | 4 | | Camden | 2 | | Town | 1 | | Tube | 1 | | Morris | 1 | | Symbols | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Morris" | | 4 | "Symbols" |
| | places | | 0 | "Soho" | | 1 | "Dean" | | 2 | "Street" | | 3 | "Raven" | | 4 | "Veil" | | 5 | "Camden" | | 6 | "Town" |
| | globalScore | 0.922 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 95 | | glossingSentenceCount | 1 | | matches | | 0 | "as if expecting company" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.697 | | wordCount | 1435 | | matches | | 0 | "not from fear but from the surge of purpose flooding her limbs" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 140 | | matches | (empty) | |
| 38.18% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 59.79 | | std | 16.96 | | cv | 0.284 | | sampleLengths | | 0 | 97 | | 1 | 77 | | 2 | 41 | | 3 | 65 | | 4 | 72 | | 5 | 58 | | 6 | 79 | | 7 | 63 | | 8 | 74 | | 9 | 52 | | 10 | 78 | | 11 | 69 | | 12 | 43 | | 13 | 42 | | 14 | 62 | | 15 | 68 | | 16 | 69 | | 17 | 61 | | 18 | 62 | | 19 | 47 | | 20 | 29 | | 21 | 37 | | 22 | 65 | | 23 | 25 |
| |
| 95.09% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 138 | | matches | | 0 | "was struck" | | 1 | "was carved" | | 2 | "were found" | | 3 | "was made" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 247 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 4 | | flaggedSentences | 17 | | totalSentences | 140 | | ratio | 0.121 | | matches | | 0 | "She fisted her left hand, brushing the worn leather strap of her watch—her anchor to time and order." | | 1 | "A figure slipped out—a man in a black coat, hood drawn low, something clutched in his hand." | | 2 | "Their eyes met for an instant—his pupils wide, dark, inscrutable." | | 3 | "Wet cobbles lurched beneath her boots; trash cans clattered as she passed." | | 4 | "Beyond the door lay the echo of panting breath, the scrape of someone removing a hood, a faint metallic clink—bone against metal." | | 5 | "She recognized the signage scrawled in chipped paint: Camden Town—just faded enough to be missed by outsiders." | | 6 | "At her feet lay a scattering of bone fragments—tokens, discarded or lost." | | 7 | "Their glow revealed graffiti—cryptic symbols, alchemical diagrams, a pair of ravens facing each other in flight." | | 8 | "The voice of a gatekeeper—low, cavernous—spoke a single word." | | 9 | "Behind her, the lamp’s flame guttered; ahead lay absolute darkness." | | 10 | "She thought of DS Morris, her partner lost to something she still couldn’t name—something she suspected lurked here." | | 11 | "What deal was struck in the Veil Market’s stalls—enchanted goods, banned alchemical substances, clandestine information?" | | 12 | "But the echo of a muffled scream rippled through the masonry—a single, human cry, edged with fear." | | 13 | "And if she walked away now, that person might be lost—or worse." | | 14 | "Lamplight glittered against iron railings, illuminating a curved tunnel hung with countless strings of lanterns—some glass, some paper, some flickering with unnatural blue and violet flames." | | 15 | "One by one, stalls appeared: a woman with elongated fingers passed a vial glowing rose; a man with silver-flecked hair sharpened an obsidian blade; a child wearing a mask of carved bone whispered over a stoop of ancient tomes." | | 16 | "But she also reminded herself of her duty: protect the innocent, no matter where they were found—on rain-slick streets or in the subterranean halls of a black market." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1404 | | adjectiveStacks | 1 | | stackExamples | | 0 | "ahead lay absolute darkness." |
| | adverbCount | 28 | | adverbRatio | 0.019943019943019943 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.004273504273504274 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 140 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 140 | | mean | 10.25 | | std | 6.41 | | cv | 0.625 | | sampleLengths | | 0 | 18 | | 1 | 18 | | 2 | 26 | | 3 | 18 | | 4 | 17 | | 5 | 14 | | 6 | 3 | | 7 | 17 | | 8 | 14 | | 9 | 15 | | 10 | 11 | | 11 | 3 | | 12 | 11 | | 13 | 3 | | 14 | 10 | | 15 | 4 | | 16 | 10 | | 17 | 3 | | 18 | 12 | | 19 | 12 | | 20 | 15 | | 21 | 12 | | 22 | 14 | | 23 | 12 | | 24 | 3 | | 25 | 12 | | 26 | 20 | | 27 | 16 | | 28 | 4 | | 29 | 5 | | 30 | 8 | | 31 | 15 | | 32 | 11 | | 33 | 10 | | 34 | 14 | | 35 | 5 | | 36 | 22 | | 37 | 10 | | 38 | 13 | | 39 | 17 | | 40 | 12 | | 41 | 14 | | 42 | 14 | | 43 | 9 | | 44 | 12 | | 45 | 14 | | 46 | 8 | | 47 | 11 | | 48 | 17 | | 49 | 16 |
| |
| 58.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.37142857142857144 | | totalSentences | 140 | | uniqueOpeners | 52 | |
| 52.08% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 128 | | matches | | 0 | "Then he bolted." | | 1 | "Then the blocks shifted apart." |
| | ratio | 0.016 | |
| 85.63% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 128 | | matches | | 0 | "She fisted her left hand," | | 1 | "It swung open." | | 2 | "He moved with deliberate, urgent" | | 3 | "His face remained hidden, but" | | 4 | "Her pulse quickened." | | 5 | "She stepped out into the" | | 6 | "Her voice was hard, drilled" | | 7 | "Their eyes met for an" | | 8 | "She dropped her pistol hand" | | 9 | "She followed the echo of" | | 10 | "He came to a landing," | | 11 | "She forced herself forward, flashlight" | | 12 | "She recognized the signage scrawled" | | 13 | "She reached the bottom step" | | 14 | "She picked one up, weight" | | 15 | "Their glow revealed graffiti—cryptic symbols," | | 16 | "She reached the gatekeeper’s post" | | 17 | "She clicked off her flashlight," | | 18 | "She straightened, breath steadying." | | 19 | "She still held the fragment" |
| | ratio | 0.336 | |
| 65.47% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 101 | | totalSentences | 128 | | matches | | 0 | "The rain fell in steady" | | 1 | "Detective Harlow Quinn pressed herself" | | 2 | "A green haze from The" | | 3 | "She fisted her left hand," | | 4 | "Quinn’s gaze cut to the" | | 5 | "It swung open." | | 6 | "A figure slipped out—a man" | | 7 | "He moved with deliberate, urgent" | | 8 | "His face remained hidden, but" | | 9 | "A bone token, she realized:" | | 10 | "Her pulse quickened." | | 11 | "She stepped out into the" | | 12 | "Her voice was hard, drilled" | | 13 | "The man glanced back." | | 14 | "Their eyes met for an" | | 15 | "Quinn lunged after him, heart" | | 16 | "Rain pounded her shoulders, ran" | | 17 | "She dropped her pistol hand" | | 18 | "Neon from a cracked storefront" | | 19 | "The suspect rounded a corner," |
| | ratio | 0.789 | |
| 39.06% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 128 | | matches | | 0 | "What deal was struck in" |
| | ratio | 0.008 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 69 | | technicalSentenceCount | 1 | | matches | | 0 | "He moved with deliberate, urgent steps, scanning over one shoulder as if expecting company." |
| |
| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, voice smooth" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0 | | effectiveRatio | 0 | |