| 75.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "Isolde called softly [softly]" |
| | dialogueSentences | 14 | | tagDensity | 0.571 | | leniency | 1 | | rawRatio | 0.125 | | effectiveRatio | 0.125 | |
| 78.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1173 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "softly" | | 2 | "slowly" |
| |
| 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) | |
| 31.80% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1173 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "shimmered" | | 1 | "scanned" | | 2 | "echo" | | 3 | "silence" | | 4 | "whisper" | | 5 | "pulsed" | | 6 | "pulse" | | 7 | "throbbed" | | 8 | "weight" | | 9 | "vibrated" | | 10 | "could feel" |
| |
| 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 | 103 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 103 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | 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 | 9 | | markdownWords | 36 | | totalWords | 1172 | | ratio | 0.031 | | matches | | 0 | "Good air. Smells like old memory." | | 1 | "Sleep. Wake to light." | | 2 | "Do not listen," | | 3 | "Gluttony is a mirror," | | 4 | "They watch," | | 5 | "The watching kind." | | 6 | "Who is watching?" | | 7 | "The ones who live in the dark between." | | 8 | "Foolish little shadow," |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 42.47% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 58 | | wordCount | 1023 | | uniqueNames | 12 | | maxNameDensity | 2.15 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 3 | | Aurora | 22 | | Fae | 3 | | Richmond | 1 | | Park | 1 | | Isolde | 12 | | Fae-forged | 1 | | Veil | 1 | | London | 2 | | Nyx | 10 | | Evan | 1 | | Rory | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Aurora" | | 2 | "Isolde" | | 3 | "Nyx" | | 4 | "Evan" | | 5 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 0.425 | | windowScore | 0.5 | |
| 48.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 3 | | matches | | 0 | "smelled like rain and ozone" | | 1 | "felt like a lung expanding and contract" | | 2 | "felt like a fragile thing, this identit" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1172 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 37.81 | | std | 19.89 | | cv | 0.526 | | sampleLengths | | 0 | 69 | | 1 | 38 | | 2 | 36 | | 3 | 39 | | 4 | 62 | | 5 | 47 | | 6 | 48 | | 7 | 23 | | 8 | 34 | | 9 | 4 | | 10 | 49 | | 11 | 48 | | 12 | 54 | | 13 | 46 | | 14 | 55 | | 15 | 25 | | 16 | 73 | | 17 | 65 | | 18 | 7 | | 19 | 26 | | 20 | 18 | | 21 | 35 | | 22 | 8 | | 23 | 12 | | 24 | 67 | | 25 | 30 | | 26 | 31 | | 27 | 23 | | 28 | 11 | | 29 | 21 | | 30 | 68 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 103 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 178 | | matches | (empty) | |
| 11.80% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 4 | | flaggedSentences | 5 | | totalSentences | 109 | | ratio | 0.046 | | matches | | 0 | "It didn’t heat; it hummed." | | 1 | "Nyx’s voice was a whisper carried on the wind—barely audible." | | 2 | "Outside, a news helicopter might have roared; here, the only sound was the snap of a twig or the whisper of Nyx’s presence." | | 3 | "She realized the boundary wasn't just a line; it was a filter." | | 4 | "The ground didn't shift; she sank into a new world, and the parrot heart in her chest beat slower, adjusting to the gravity of theVeil." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 718 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.025069637883008356 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.012534818941504178 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 10.75 | | std | 6.4 | | cv | 0.595 | | sampleLengths | | 0 | 17 | | 1 | 28 | | 2 | 19 | | 3 | 5 | | 4 | 11 | | 5 | 19 | | 6 | 8 | | 7 | 6 | | 8 | 7 | | 9 | 12 | | 10 | 4 | | 11 | 7 | | 12 | 18 | | 13 | 6 | | 14 | 15 | | 15 | 14 | | 16 | 8 | | 17 | 15 | | 18 | 9 | | 19 | 9 | | 20 | 7 | | 21 | 20 | | 22 | 11 | | 23 | 10 | | 24 | 2 | | 25 | 4 | | 26 | 2 | | 27 | 9 | | 28 | 7 | | 29 | 8 | | 30 | 17 | | 31 | 5 | | 32 | 4 | | 33 | 14 | | 34 | 5 | | 35 | 11 | | 36 | 9 | | 37 | 14 | | 38 | 4 | | 39 | 4 | | 40 | 5 | | 41 | 6 | | 42 | 18 | | 43 | 7 | | 44 | 9 | | 45 | 4 | | 46 | 11 | | 47 | 10 | | 48 | 23 | | 49 | 5 |
| |
| 38.99% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.29357798165137616 | | totalSentences | 109 | | uniqueOpeners | 32 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 95 | | matches | (empty) | | ratio | 0 | |
| 60.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 95 | | matches | | 0 | "She gripped her handle, the" | | 1 | "It didn’t heat; it hummed." | | 2 | "Her shoes made no sound" | | 3 | "Her bright blue eyes scanned" | | 4 | "She extended a hand, palm" | | 5 | "It was sharp, pale metal," | | 6 | "She unsheathed it with a" | | 7 | "Her black hair, straight to" | | 8 | "Her breath smelled like rain" | | 9 | "Their eyes glowed a faint" | | 10 | "She focused on the stone" | | 11 | "She took the first step." | | 12 | "They stepped into the grove." | | 13 | "She focused on the flora." | | 14 | "She reached out to touch" | | 15 | "It felt wet, slick with" | | 16 | "She checked her watch on" | | 17 | "Their form shifted, tall and" | | 18 | "They felt teeming, like they" | | 19 | "She kept her eyes on" |
| | ratio | 0.4 | |
| 7.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 95 | | matches | | 0 | "The standing stones stood in" | | 1 | "Aurora stood at the edge" | | 2 | "She gripped her handle, the" | | 3 | "It didn’t heat; it hummed." | | 4 | "Isolde said, though she did" | | 5 | "The Fae woman stood ten" | | 6 | "Her shoes made no sound" | | 7 | "Her bright blue eyes scanned" | | 8 | "Isolde said, her voice distant," | | 9 | "She extended a hand, palm" | | 10 | "Aurora felt the cold press" | | 11 | "It was sharp, pale metal," | | 12 | "She unsheathed it with a" | | 13 | "The blade hummed, cool enough" | | 14 | "Her black hair, straight to" | | 15 | "Her breath smelled like rain" | | 16 | "Nyx stepped through the space" | | 17 | "Their eyes glowed a faint" | | 18 | "Nyx’s voice was a whisper" | | 19 | "Smells like old memory.*" |
| | ratio | 0.905 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 95 | | matches | | 0 | "If she stepped wrong, she" | | 1 | "If she stepped right, she" |
| | ratio | 0.021 | |
| 69.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 4 | | matches | | 0 | "She gripped her handle, the silver chain digging into her palm, tugging the deep crimson Heartstone against her sternum." | | 1 | "The Fae woman stood ten paces ahead, her silver hair catching a light that shimmered like oil on water." | | 2 | "They receded into a darkness that felt like a lung expanding and contracting." | | 3 | "She remembered she was Rory now, the delivery person, the friend who kept secrets." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |