| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.75 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 77.88% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1130 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "suddenly" | | 1 | "quickly" | | 2 | "perfectly" | | 3 | "very" |
| |
| 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) | |
| 60.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1130 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "warmth" | | 1 | "pulse" | | 2 | "weight" | | 3 | "silence" | | 4 | "whisper" | | 5 | "footfall" |
| |
| 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 | 125 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 125 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 127 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 65 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 7 | | totalWords | 1130 | | ratio | 0.006 | | matches | | 0 | "Richmond Park, south gate, midnight, come alone" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1105 | | uniqueNames | 12 | | maxNameDensity | 0.63 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Saw" | | discoveredNames | | Heartstone | 1 | | October | 1 | | Park | 2 | | Evan | 1 | | Highgate | 1 | | Richmond | 2 | | Hated | 1 | | Breathed | 1 | | Carter | 1 | | London | 2 | | Aurora | 7 | | Saw | 3 |
| | persons | | 0 | "Heartstone" | | 1 | "Evan" | | 2 | "Carter" | | 3 | "Aurora" |
| | places | | 0 | "October" | | 1 | "Park" | | 2 | "Highgate" | | 3 | "Richmond" | | 4 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | 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 | 1130 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 127 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 26.9 | | std | 22.03 | | cv | 0.819 | | sampleLengths | | 0 | 7 | | 1 | 37 | | 2 | 9 | | 3 | 15 | | 4 | 50 | | 5 | 74 | | 6 | 32 | | 7 | 6 | | 8 | 4 | | 9 | 55 | | 10 | 5 | | 11 | 56 | | 12 | 25 | | 13 | 6 | | 14 | 47 | | 15 | 15 | | 16 | 39 | | 17 | 7 | | 18 | 27 | | 19 | 6 | | 20 | 5 | | 21 | 27 | | 22 | 46 | | 23 | 51 | | 24 | 9 | | 25 | 42 | | 26 | 6 | | 27 | 44 | | 28 | 5 | | 29 | 45 | | 30 | 13 | | 31 | 50 | | 32 | 16 | | 33 | 3 | | 34 | 70 | | 35 | 3 | | 36 | 62 | | 37 | 3 | | 38 | 33 | | 39 | 65 | | 40 | 5 | | 41 | 5 |
| |
| 99.65% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 125 | | matches | | 0 | "were flattened" | | 1 | "was lit" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 183 | | matches | | 0 | "was looking" | | 1 | "was deciding" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 127 | | ratio | 0 | | matches | (empty) | |
| 99.62% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1113 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 45 | | adverbRatio | 0.04043126684636118 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.008984725965858042 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 127 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 127 | | mean | 8.9 | | std | 9.19 | | cv | 1.033 | | sampleLengths | | 0 | 7 | | 1 | 2 | | 2 | 2 | | 3 | 15 | | 4 | 18 | | 5 | 4 | | 6 | 5 | | 7 | 10 | | 8 | 5 | | 9 | 5 | | 10 | 15 | | 11 | 2 | | 12 | 2 | | 13 | 26 | | 14 | 12 | | 15 | 32 | | 16 | 7 | | 17 | 23 | | 18 | 7 | | 19 | 17 | | 20 | 3 | | 21 | 3 | | 22 | 2 | | 23 | 6 | | 24 | 4 | | 25 | 2 | | 26 | 13 | | 27 | 5 | | 28 | 23 | | 29 | 3 | | 30 | 9 | | 31 | 2 | | 32 | 3 | | 33 | 4 | | 34 | 15 | | 35 | 15 | | 36 | 22 | | 37 | 4 | | 38 | 4 | | 39 | 17 | | 40 | 6 | | 41 | 5 | | 42 | 20 | | 43 | 5 | | 44 | 17 | | 45 | 9 | | 46 | 6 | | 47 | 3 | | 48 | 13 | | 49 | 13 |
| |
| 59.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.4251968503937008 | | totalSentences | 127 | | uniqueOpeners | 54 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 97 | | matches | | 0 | "Just dead weight, the silver" | | 1 | "Then silence, thick and total." | | 2 | "Somewhere in the canopy, a" |
| | ratio | 0.031 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 97 | | matches | | 0 | "She lowered her foot." | | 1 | "Her voice came out steadier" | | 2 | "She had come for answers." | | 3 | "She counted them." | | 4 | "She stepped between the outermost" | | 5 | "Her throat clicked." | | 6 | "Her phone said 23:47." | | 7 | "It had been thrumming against" | | 8 | "She hated the way the" | | 9 | "She moved forward." | | 10 | "Her trainers sank into soil" | | 11 | "She told herself it was" | | 12 | "It did not blink." | | 13 | "She looked away." | | 14 | "She rubbed her thumb across" | | 15 | "She walked on." | | 16 | "She could see the far" | | 17 | "Her hand came up, an" | | 18 | "It was the sound a" | | 19 | "Her voice cracked on the" |
| | ratio | 0.268 | |
| 68.25% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 97 | | matches | | 0 | "The Heartstone went still against" | | 1 | "Aurora stopped mid-stride, one foot" | | 2 | "She lowered her foot." | | 3 | "The petals bent without sound." | | 4 | "Her voice came out steadier" | | 5 | "She had come for answers." | | 6 | "The note in her jacket" | | 7 | "The same blocky handwriting as" | | 8 | "Aurora had spent the first" | | 9 | "The second week she'd worn" | | 10 | "The third week, the note" | | 11 | "The standing stones announced themselves" | | 12 | "She counted them." | | 13 | "She stepped between the outermost" | | 14 | "The city fell away." | | 15 | "London simply ceased to exist." | | 16 | "The next, nothing." | | 17 | "The silence pressed against her" | | 18 | "Her throat clicked." | | 19 | "Wildflowers crowded the clearing." |
| | ratio | 0.784 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 97 | | matches | | 0 | "Now, inside the circle, nothing." | | 1 | "As though the thing that" | | 2 | "As though the thing were" |
| | ratio | 0.031 | |
| 43.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 5 | | matches | | 0 | "Aurora stopped mid-stride, one foot hovering above a carpet of bluebells that had no business blooming in October." | | 1 | "She could see the far edge of it, a dark line of trees that marked the boundary, but the distance refused to shrink." | | 2 | "The wildflowers nearest her curled inward, petals folding shut as though night had fallen on them all at once." | | 3 | "It stood quite still, and it was looking at her, and she understood, with a calm that felt borrowed, that it had been looking at her since she stepped between t…" | | 4 | "The grove went black and breathing and full of small sounds, the snap of a stem, the whisper of a footfall, the careful attention of something that was deciding…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |