| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1073 | | 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) | |
| 20.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1073 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "silence" | | 1 | "pulsed" | | 2 | "rhythmic" | | 3 | "warmth" | | 4 | "tension" | | 5 | "gloom" | | 6 | "sentinel" | | 7 | "flickered" | | 8 | "glinting" | | 9 | "vibrated" | | 10 | "trembled" |
| |
| 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 | 128 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 128 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 135 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 5 | | totalWords | 1062 | | ratio | 0.005 | | matches | | 0 | "Come alone. Bring the stone." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 1038 | | uniqueNames | 6 | | maxNameDensity | 0.87 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Fae | 1 | | Grove | 1 | | Richmond | 2 | | Park | 2 | | Heartstone | 1 | | Rory | 9 |
| | persons | | | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Richmond" | | 3 | "Park" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1062 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 135 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 18.96 | | std | 14.6 | | cv | 0.77 | | sampleLengths | | 0 | 66 | | 1 | 5 | | 2 | 58 | | 3 | 26 | | 4 | 4 | | 5 | 17 | | 6 | 7 | | 7 | 37 | | 8 | 44 | | 9 | 3 | | 10 | 34 | | 11 | 38 | | 12 | 6 | | 13 | 23 | | 14 | 2 | | 15 | 1 | | 16 | 11 | | 17 | 16 | | 18 | 33 | | 19 | 13 | | 20 | 20 | | 21 | 6 | | 22 | 10 | | 23 | 33 | | 24 | 23 | | 25 | 26 | | 26 | 4 | | 27 | 2 | | 28 | 32 | | 29 | 3 | | 30 | 28 | | 31 | 29 | | 32 | 4 | | 33 | 27 | | 34 | 30 | | 35 | 10 | | 36 | 37 | | 37 | 8 | | 38 | 17 | | 39 | 10 | | 40 | 15 | | 41 | 30 | | 42 | 17 | | 43 | 11 | | 44 | 26 | | 45 | 16 | | 46 | 40 | | 47 | 11 | | 48 | 1 | | 49 | 7 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 128 | | matches | | |
| 66.67% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 200 | | matches | | 0 | "was getting" | | 1 | "was coming" | | 2 | "wasn't getting" | | 3 | "were reaching" |
| |
| 37.04% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 135 | | ratio | 0.037 | | matches | | 0 | "The air here tasted different—metallic, thick with the scent of ozone and crushed wildflowers that had no business blooming in the dead of winter." | | 1 | "Flowers—irises and lilies—swayed without a breeze." | | 2 | "Coming here alone, at night, on a hunch—stupid." | | 3 | "The smell hit her—rotting meat and old copper." | | 4 | "And hands—dozens of pale, slender hands—were reaching out of the tear, grasping the edges, pulling it open." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 651 | | adjectiveStacks | 1 | | stackExamples | | 0 | "fierce, blood-red luminescence," |
| | adverbCount | 18 | | adverbRatio | 0.027649769585253458 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006144393241167435 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 135 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 135 | | mean | 7.87 | | std | 4.94 | | cv | 0.628 | | sampleLengths | | 0 | 18 | | 1 | 24 | | 2 | 24 | | 3 | 5 | | 4 | 11 | | 5 | 19 | | 6 | 19 | | 7 | 9 | | 8 | 8 | | 9 | 14 | | 10 | 4 | | 11 | 4 | | 12 | 11 | | 13 | 6 | | 14 | 2 | | 15 | 5 | | 16 | 6 | | 17 | 15 | | 18 | 6 | | 19 | 10 | | 20 | 2 | | 21 | 11 | | 22 | 12 | | 23 | 12 | | 24 | 7 | | 25 | 3 | | 26 | 7 | | 27 | 15 | | 28 | 12 | | 29 | 6 | | 30 | 9 | | 31 | 4 | | 32 | 8 | | 33 | 6 | | 34 | 2 | | 35 | 3 | | 36 | 6 | | 37 | 8 | | 38 | 15 | | 39 | 2 | | 40 | 1 | | 41 | 3 | | 42 | 3 | | 43 | 5 | | 44 | 4 | | 45 | 1 | | 46 | 11 | | 47 | 9 | | 48 | 4 | | 49 | 11 |
| |
| 42.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.2962962962962963 | | totalSentences | 135 | | uniqueOpeners | 40 | |
| 55.56% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 120 | | matches | | 0 | "Just the endless, rustling dark." | | 1 | "Then, a sound." |
| | ratio | 0.017 | |
| 66.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 120 | | matches | | 0 | "She stepped over the root." | | 1 | "She pulled her coat tighter" | | 2 | "She checked the Heartstone pendant" | | 3 | "It was getting hotter." | | 4 | "Her voice cracked in the" | | 5 | "She hated how small she" | | 6 | "She moved deeper into the" | | 7 | "They turned their heads as" | | 8 | "She pulled a small torch" | | 9 | "They hadn't been there a" | | 10 | "She swept the light across" | | 11 | "They moved with a jerky," | | 12 | "She winced, clutching the silver" | | 13 | "It came from behind her." | | 14 | "She whipped around again." | | 15 | "Her heart hammered against her" | | 16 | "She checked her watch." | | 17 | "It spun wildly for a" | | 18 | "She took a step back" | | 19 | "They stood up." |
| | ratio | 0.383 | |
| 18.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 106 | | totalSentences | 120 | | matches | | 0 | "The ancient oak standing stones" | | 1 | "Rory paused at the boundary," | | 2 | "The air here tasted different—metallic," | | 3 | "She stepped over the root." | | 4 | "A rush of cold wind" | | 5 | "The silence of Richmond Park" | | 6 | "She pulled her coat tighter" | | 7 | "The habit anchored her, kept" | | 8 | "She checked the Heartstone pendant" | | 9 | "The deep crimson gemstone pulsed" | | 10 | "It was getting hotter." | | 11 | "Her voice cracked in the" | | 12 | "She hated how small she" | | 13 | "She moved deeper into the" | | 14 | "The grass here was lush," | | 15 | "Flowers—irises and lilies—swayed without a" | | 16 | "They turned their heads as" | | 17 | "She pulled a small torch" | | 18 | "The beam cut through the" | | 19 | "Trees stood sentinel at the" |
| | ratio | 0.883 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 120 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 2 | | matches | | 0 | "The air here tasted different—metallic, thick with the scent of ozone and crushed wildflowers that had no business blooming in the dead of winter." | | 1 | "The beam dimmed, then surged brighter, casting long, distorted shadows that stretched toward her." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |