| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1766 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "sharply" | | 2 | "lightly" | | 3 | "softly" |
| |
| 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) | |
| 54.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1766 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "weight" | | 1 | "warmth" | | 2 | "echo" | | 3 | "throbbed" | | 4 | "pulse" | | 5 | "silence" | | 6 | "scanned" | | 7 | "whisper" | | 8 | "footfall" | | 9 | "stomach" | | 10 | "trembled" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 219 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 219 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 231 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1764 | | 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 | 22 | | wordCount | 1702 | | uniqueNames | 5 | | maxNameDensity | 1 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | Park | 1 | | London | 1 | | Heartstone | 2 | | Rory | 17 |
| | persons | | 0 | "Carter" | | 1 | "Heartstone" | | 2 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 120 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed narrower than before" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.567 | | wordCount | 1764 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 231 | | matches | | 0 | "noticed that ring" | | 1 | "touched that patch" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 116 | | mean | 15.21 | | std | 14.69 | | cv | 0.966 | | sampleLengths | | 0 | 16 | | 1 | 55 | | 2 | 2 | | 3 | 61 | | 4 | 29 | | 5 | 5 | | 6 | 25 | | 7 | 9 | | 8 | 35 | | 9 | 12 | | 10 | 2 | | 11 | 12 | | 12 | 64 | | 13 | 33 | | 14 | 11 | | 15 | 4 | | 16 | 43 | | 17 | 6 | | 18 | 32 | | 19 | 5 | | 20 | 5 | | 21 | 4 | | 22 | 18 | | 23 | 32 | | 24 | 3 | | 25 | 2 | | 26 | 2 | | 27 | 31 | | 28 | 11 | | 29 | 26 | | 30 | 13 | | 31 | 2 | | 32 | 19 | | 33 | 4 | | 34 | 13 | | 35 | 29 | | 36 | 6 | | 37 | 3 | | 38 | 15 | | 39 | 9 | | 40 | 37 | | 41 | 5 | | 42 | 13 | | 43 | 8 | | 44 | 8 | | 45 | 17 | | 46 | 10 | | 47 | 1 | | 48 | 37 | | 49 | 2 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 219 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 253 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 231 | | ratio | 0.013 | | matches | | 0 | "Wildflowers spread across the ground in impossible colour for the hour—white foxgloves, violet bells, little gold faces turned up as if noon sat above them instead of a cold moon." | | 1 | "Another had leaned east; now it leaned toward her." | | 2 | "She caught it at the corner of her eye—a figure slipping between trunks." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1708 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 60 | | adverbRatio | 0.0351288056206089 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.00468384074941452 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 231 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 231 | | mean | 7.64 | | std | 5.93 | | cv | 0.777 | | sampleLengths | | 0 | 16 | | 1 | 10 | | 2 | 2 | | 3 | 2 | | 4 | 7 | | 5 | 4 | | 6 | 30 | | 7 | 2 | | 8 | 10 | | 9 | 30 | | 10 | 9 | | 11 | 5 | | 12 | 4 | | 13 | 3 | | 14 | 15 | | 15 | 14 | | 16 | 3 | | 17 | 2 | | 18 | 8 | | 19 | 3 | | 20 | 1 | | 21 | 13 | | 22 | 9 | | 23 | 21 | | 24 | 8 | | 25 | 2 | | 26 | 4 | | 27 | 5 | | 28 | 2 | | 29 | 5 | | 30 | 2 | | 31 | 12 | | 32 | 8 | | 33 | 15 | | 34 | 6 | | 35 | 22 | | 36 | 1 | | 37 | 2 | | 38 | 10 | | 39 | 13 | | 40 | 12 | | 41 | 2 | | 42 | 2 | | 43 | 4 | | 44 | 4 | | 45 | 7 | | 46 | 4 | | 47 | 17 | | 48 | 13 | | 49 | 13 |
| |
| 52.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.3593073593073593 | | totalSentences | 231 | | uniqueOpeners | 83 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 10 | | totalSentences | 175 | | matches | | 0 | "Then she crossed the boundary" | | 1 | "Somewhere to the left came" | | 2 | "Then she noticed there was" | | 3 | "Then the clearing answered with" | | 4 | "Only those overhead." | | 5 | "Just the shape of motion" | | 6 | "Only darkness, smooth and deep," | | 7 | "Too many to count." | | 8 | "Then the mouth split wider" | | 9 | "Then it spoke with Rory’s" |
| | ratio | 0.057 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 175 | | matches | | 0 | "Their trunks bent inward, watching." | | 1 | "Their leaves held still." | | 2 | "Her own voice came back" | | 3 | "She looked over her shoulder" | | 4 | "They remained where they should" | | 5 | "She watched it for a" | | 6 | "She took out her phone." | | 7 | "She shoved it back into" | | 8 | "She had not come here" | | 9 | "It had throbbed like a" | | 10 | "She knew enough now not" | | 11 | "She crouched among the flowers" | | 12 | "She had seen the place" | | 13 | "She crouched again and held" | | 14 | "She turned at once." | | 15 | "Her mouth dried." | | 16 | "Her skin had gone tight" | | 17 | "She narrowed her eyes." | | 18 | "It withdrew with care, as" | | 19 | "She took one step backwards" |
| | ratio | 0.246 | |
| 82.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 132 | | totalSentences | 175 | | matches | | 0 | "Aurora Carter stepped between the" | | 1 | "Richmond Park had still breathed" | | 2 | "A fox barking somewhere across" | | 3 | "The ordinary city edge." | | 4 | "The clearing lay ahead in" | | 5 | "Wildflowers spread across the ground" | | 6 | "The trees around the clearing" | | 7 | "Their trunks bent inward, watching." | | 8 | "Their leaves held still." | | 9 | "Rory slid a hand inside" | | 10 | "Her own voice came back" | | 11 | "She looked over her shoulder" | | 12 | "They remained where they should" | | 13 | "She watched it for a" | | 14 | "She took out her phone." | | 15 | "The screen showed 11:42 pm." | | 16 | "She shoved it back into" | | 17 | "She had not come here" | | 18 | "Tonight it had gone beyond" | | 19 | "It had throbbed like a" |
| | ratio | 0.754 | |
| 28.57% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 175 | | matches | | | ratio | 0.006 | |
| 97.51% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 63 | | technicalSentenceCount | 4 | | matches | | 0 | "Wildflowers spread across the ground in impossible colour for the hour—white foxgloves, violet bells, little gold faces turned up as if noon sat above them inst…" | | 1 | "The ground inside the circle looked undisturbed, though the soil had a strange dark sheen, as if rain had touched that patch alone." | | 2 | "The deer-faced thing crept one hand closer to the ring and paused, as if the circle marked a line it would not cross." | | 3 | "So did the creature with the deer skull grin, its limbs unfolding in a rush, claws cutting furrows through the flowers as it sprang for the ring." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 18 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.5 | | effectiveRatio | 0.333 | |