| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1645 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 45.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1645 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "silence" | | 1 | "navigated" | | 2 | "echo" | | 3 | "rhythmic" | | 4 | "warmth" | | 5 | "resonance" | | 6 | "flickered" | | 7 | "weight" | | 8 | "tracing" | | 9 | "reminder" | | 10 | "crystalline" | | 11 | "stomach" | | 12 | "churn" | | 13 | "racing" | | 14 | "footsteps" |
| |
| 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 | 124 | | matches | (empty) | |
| 73.73% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 5 | | narrationSentences | 124 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "began to" | | 2 | "tried to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 130 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1632 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 1537 | | uniqueNames | 19 | | maxNameDensity | 0.59 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Grove" | | discoveredNames | | Golden | 2 | | Empress | 2 | | Richmond | 2 | | Park | 2 | | Fae | 4 | | Grove | 6 | | Evan | 2 | | London | 3 | | Underground | 1 | | British | 1 | | Heartstone | 5 | | Pendant | 2 | | Hel | 2 | | Cardiff | 2 | | Welsh | 1 | | Rory | 9 | | Silas | 1 | | Fae-touched | 1 | | Heathrow | 1 |
| | persons | | 0 | "Empress" | | 1 | "Evan" | | 2 | "Underground" | | 3 | "Pendant" | | 4 | "Rory" | | 5 | "Silas" |
| | places | | 0 | "Golden" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "Fae" | | 4 | "Grove" | | 5 | "London" | | 6 | "Hel" | | 7 | "Cardiff" | | 8 | "Fae-touched" | | 9 | "Heathrow" |
| | globalScore | 1 | | windowScore | 1 | |
| 73.47% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 98 | | glossingSentenceCount | 3 | | matches | | 0 | "sounded like it was whispered directly int" | | 1 | "looked like a collection of sticks and pa" | | 2 | "as if trying to hold her in place" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1632 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 130 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 37.09 | | std | 19.97 | | cv | 0.538 | | sampleLengths | | 0 | 49 | | 1 | 92 | | 2 | 41 | | 3 | 68 | | 4 | 42 | | 5 | 68 | | 6 | 12 | | 7 | 43 | | 8 | 61 | | 9 | 35 | | 10 | 32 | | 11 | 7 | | 12 | 45 | | 13 | 48 | | 14 | 4 | | 15 | 1 | | 16 | 60 | | 17 | 13 | | 18 | 29 | | 19 | 62 | | 20 | 34 | | 21 | 31 | | 22 | 36 | | 23 | 46 | | 24 | 49 | | 25 | 6 | | 26 | 58 | | 27 | 19 | | 28 | 25 | | 29 | 38 | | 30 | 48 | | 31 | 16 | | 32 | 2 | | 33 | 36 | | 34 | 47 | | 35 | 36 | | 36 | 58 | | 37 | 20 | | 38 | 19 | | 39 | 53 | | 40 | 23 | | 41 | 29 | | 42 | 37 | | 43 | 54 |
| |
| 79.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 9 | | totalSentences | 124 | | matches | | 0 | "been told" | | 1 | "been taught" | | 2 | "being dragged" | | 3 | "was whispered" | | 4 | "was layered" | | 5 | "was gone" | | 6 | "was trapped" | | 7 | "was illuminated" | | 8 | "was gone" |
| |
| 46.15% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 260 | | matches | | 0 | "was pulsing" | | 1 | "was crouching" | | 2 | "was closing" | | 3 | "was lying" | | 4 | "was glowing" | | 5 | "was finally moving" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 6 | | flaggedSentences | 15 | | totalSentences | 130 | | ratio | 0.115 | | matches | | 0 | "She’d been told to meet her contact there—at least, that was what the note tucked into the last delivery order had commanded." | | 1 | "The distant hum of London’s late-night traffic—the sirens and the low rumble of the Underground—died away, replaced by an absolute, crushing silence." | | 2 | "Her boots crunched on the earth, but the sound didn't echo; the trees seemed to swallow the noise before it could travel a yard." | | 3 | "It was Evan’s voice—the same wheedling, manipulative tone he used right before the shouting started—but it was layered with something else." | | 4 | "The crimson light was no longer pulsing; it was a steady, angry glare." | | 5 | "Its eyes weren't eyes—they were two shimmering pools of reflection, like oily water." | | 6 | "It wasn't soft; it was wiry and hooked, snagging at her trousers as if trying to hold her in place." | | 7 | "Not swaying in a breeze—there was no wind—but subtly shifting their positions." | | 8 | "It bore the face of the man she had fled in Cardiff—the same sharp jawline, the same cruel set to the mouth—but the skin was the color of a bruised plum, and his limbs were far too long, ending in fingers that had an extra joint." | | 9 | "He didn't walk; he skittered on all fours, his spine arching in a way that made her stomach churn." | | 10 | "The flowers didn't just sit there; they began to hum, the petals vibrating as they drank in the liquid." | | 11 | "Rory didn't run away; she ran toward it, diving low." | | 12 | "The creature shrieked—a sound that wasn't a voice at all, but the screech of a dying bird." | | 13 | "Rory saw the true scale of the horror—thousands of the stick-thin figures perched in the branches above, all watching, all waiting for the light to fail." | | 14 | "Rory stood up, her legs shaking so violently she had to lean against a tree—a real tree, rough and indifferent." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1559 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 56 | | adverbRatio | 0.0359204618345093 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.010904425914047467 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 130 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 130 | | mean | 12.55 | | std | 7.59 | | cv | 0.605 | | sampleLengths | | 0 | 25 | | 1 | 4 | | 2 | 6 | | 3 | 14 | | 4 | 22 | | 5 | 9 | | 6 | 22 | | 7 | 23 | | 8 | 8 | | 9 | 8 | | 10 | 15 | | 11 | 4 | | 12 | 22 | | 13 | 5 | | 14 | 22 | | 15 | 17 | | 16 | 24 | | 17 | 14 | | 18 | 14 | | 19 | 14 | | 20 | 11 | | 21 | 15 | | 22 | 9 | | 23 | 24 | | 24 | 4 | | 25 | 5 | | 26 | 4 | | 27 | 8 | | 28 | 13 | | 29 | 10 | | 30 | 20 | | 31 | 18 | | 32 | 21 | | 33 | 22 | | 34 | 2 | | 35 | 4 | | 36 | 16 | | 37 | 13 | | 38 | 23 | | 39 | 9 | | 40 | 2 | | 41 | 5 | | 42 | 6 | | 43 | 17 | | 44 | 5 | | 45 | 17 | | 46 | 16 | | 47 | 28 | | 48 | 4 | | 49 | 4 |
| |
| 34.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.23846153846153847 | | totalSentences | 130 | | uniqueOpeners | 31 | |
| 56.02% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 119 | | matches | | 0 | "Somewhere deep in the thicket" | | 1 | "Then, a low, melodic whistle." |
| | ratio | 0.017 | |
| 41.85% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 53 | | totalSentences | 119 | | matches | | 0 | "It hadn't moved in twenty" | | 1 | "She stood at the edge" | | 2 | "She’d been told to meet" | | 3 | "He shouldn't have known she" | | 4 | "He certainly shouldn't have known" | | 5 | "It was too sweet, saturated" | | 6 | "She navigated by the pale," | | 7 | "Her boots crunched on the" | | 8 | "She reached the boundary of" | | 9 | "They weren't pillars of rock," | | 10 | "She reached under her shirt" | | 11 | "It cast a faint, bloody" | | 12 | "It felt like a warning." | | 13 | "she called out" | | 14 | "Her voice sounded thin, stripped" | | 15 | "She kept moving toward the" | | 16 | "She was a Cardiff girl," | | 17 | "It wasn't a footstep, but" | | 18 | "It came from the shadows" | | 19 | "she said, her voice firmer" |
| | ratio | 0.445 | |
| 18.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 105 | | totalSentences | 119 | | matches | | 0 | "The delivery bag from the" | | 1 | "Aurora checked her watch." | | 2 | "It hadn't moved in twenty" | | 3 | "The second hand twitched, shuddered," | | 4 | "She stood at the edge" | | 5 | "She’d been told to meet" | | 6 | "The handwriting had been a" | | 7 | "He shouldn't have known she" | | 8 | "He certainly shouldn't have known" | | 9 | "Rory adjusted the strap of" | | 10 | "The transition was instantaneous." | | 11 | "The distant hum of London’s" | | 12 | "The air here tasted different." | | 13 | "It was too sweet, saturated" | | 14 | "She navigated by the pale," | | 15 | "Her boots crunched on the" | | 16 | "She reached the boundary of" | | 17 | "They weren't pillars of rock," | | 18 | "She reached under her shirt" | | 19 | "The deep crimson gemstone, normally" |
| | ratio | 0.882 | |
| 42.02% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 119 | | matches | | 0 | "If she acted like prey," |
| | ratio | 0.008 | |
| 45.01% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 73 | | technicalSentenceCount | 10 | | matches | | 0 | "The handwriting had been a frantic scrawl she didn’t recognize, but the signature was a name that made her blood run cold: Evan." | | 1 | "It was too sweet, saturated with the scent of wildflowers that had no business blooming in the dark of a British autumn." | | 2 | "She navigated by the pale, silver light of a moon that looked too large for the sky." | | 3 | "She kept moving toward the center of the clearing, her heart hammering a frantic rhythm against her ribs." | | 4 | "It wasn't soft; it was wiry and hooked, snagging at her trousers as if trying to hold her in place." | | 5 | "It hung around her face, thickening into a grey shroud that tasted of copper and old earth." | | 6 | "It bore the face of the man she had fled in Cardiff—the same sharp jawline, the same cruel set to the mouth—but the skin was the color of a bruised plum, and hi…" | | 7 | "He didn't walk; he skittered on all fours, his spine arching in a way that made her stomach churn." | | 8 | "The towering oaks were back to being just trees, their leaves rustling in a natural, cool breeze." | | 9 | "She walked toward the distant orange glow of the streetlights, her footsteps loud and heavy on the gravel path, marking every second of the time that was finall…" |
| |
| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "Rory said, her mind racing" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "the voice whispered (whisper)" | | 1 | "he hissed (hiss)" |
| | dialogueSentences | 12 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0.4 | | effectiveRatio | 0.333 | |