| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 90.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1088 | | totalAiIsmAdverbs | 2 | | 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) | |
| 3.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1088 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "chill" | | 1 | "vibrated" | | 2 | "profound" | | 3 | "silence" | | 4 | "weight" | | 5 | "loomed" | | 6 | "scanned" | | 7 | "measured" | | 8 | "echo" | | 9 | "familiar" | | 10 | "whisper" | | 11 | "trembled" | | 12 | "maw" | | 13 | "flicker" | | 14 | "wavering" |
| |
| 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 | 100 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 100 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | 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 | 1 | | totalWords | 1081 | | ratio | 0.001 | | matches | | |
| 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 | 17 | | wordCount | 1081 | | uniqueNames | 9 | | maxNameDensity | 0.46 | | worstName | "Grove" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Grove" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Fae | 1 | | Grove | 5 | | London | 2 | | Heartstone | 1 | | Pendant | 1 | | Hel | 1 | | Aurora | 4 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" | | 4 | "London" | | 5 | "Hel" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a physical weight on her shou" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.925 | | wordCount | 1081 | | matches | | 0 | "not a voice, but the shape of one, a dry, rustling sound like dead leaves ski" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 100 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 56.89 | | std | 36.32 | | cv | 0.638 | | sampleLengths | | 0 | 68 | | 1 | 30 | | 2 | 5 | | 3 | 88 | | 4 | 82 | | 5 | 1 | | 6 | 94 | | 7 | 75 | | 8 | 109 | | 9 | 75 | | 10 | 2 | | 11 | 83 | | 12 | 56 | | 13 | 48 | | 14 | 78 | | 15 | 6 | | 16 | 115 | | 17 | 52 | | 18 | 14 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 100 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 161 | | matches | (empty) | |
| 85.71% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 100 | | ratio | 0.02 | | matches | | 0 | "The silence was no longer empty; it was full of the creature’s presence." | | 1 | "The whispers were not the wind; they were its breath." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1088 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 32 | | adverbRatio | 0.029411764705882353 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.009191176470588236 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 10.81 | | std | 6.38 | | cv | 0.59 | | sampleLengths | | 0 | 15 | | 1 | 14 | | 2 | 3 | | 3 | 15 | | 4 | 21 | | 5 | 5 | | 6 | 25 | | 7 | 5 | | 8 | 17 | | 9 | 19 | | 10 | 25 | | 11 | 13 | | 12 | 6 | | 13 | 3 | | 14 | 5 | | 15 | 16 | | 16 | 8 | | 17 | 14 | | 18 | 4 | | 19 | 6 | | 20 | 8 | | 21 | 8 | | 22 | 18 | | 23 | 1 | | 24 | 5 | | 25 | 10 | | 26 | 13 | | 27 | 5 | | 28 | 10 | | 29 | 3 | | 30 | 2 | | 31 | 6 | | 32 | 18 | | 33 | 3 | | 34 | 9 | | 35 | 10 | | 36 | 10 | | 37 | 23 | | 38 | 22 | | 39 | 1 | | 40 | 9 | | 41 | 10 | | 42 | 10 | | 43 | 20 | | 44 | 3 | | 45 | 1 | | 46 | 5 | | 47 | 10 | | 48 | 22 | | 49 | 9 |
| |
| 32.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.26 | | totalSentences | 100 | | uniqueOpeners | 26 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 92 | | matches | (empty) | | ratio | 0 | |
| 41.74% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 92 | | matches | | 0 | "It shed the city’s damp" | | 1 | "She came here for answers." | | 2 | "She ran her fingers over" | | 3 | "It remained cool against her" | | 4 | "They were her destination." | | 5 | "They held the Grove’s oldest" | | 6 | "They were monolithic teeth in" | | 7 | "Their shadows stretched long and" | | 8 | "It came from the wood" | | 9 | "She scanned the wall of" | | 10 | "She waited, listening." | | 11 | "Her heart beat a slow," | | 12 | "She forced herself to move" | | 13 | "She kept her eyes on" | | 14 | "She placed a hand on" | | 15 | "It was not a voice," | | 16 | "She spun around." | | 17 | "Her breath plumed in a" | | 18 | "She pulled her jacket tighter," | | 19 | "She began to circle the" |
| | ratio | 0.446 | |
| 8.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 83 | | totalSentences | 92 | | matches | | 0 | "The boundary of Richmond Park" | | 1 | "Aurora pushed through the chill," | | 2 | "The air changed." | | 3 | "It shed the city’s damp" | | 4 | "Here, in the Fae Grove," | | 5 | "She came here for answers." | | 6 | "The Grove was a place" | | 7 | "Tonight, the balance felt broken." | | 8 | "The usual hum of the" | | 9 | "A profound silence pressed in" | | 10 | "The wildflowers that carpeted the" | | 11 | "She ran her fingers over" | | 12 | "It remained cool against her" | | 13 | "The thought offered no comfort." | | 14 | "Aurora walked toward the centre" | | 15 | "Each footstep sounded deafeningly loud" | | 16 | "A cluster of standing stones," | | 17 | "They were her destination." | | 18 | "They held the Grove’s oldest" | | 19 | "They were monolithic teeth in" |
| | ratio | 0.902 | |
| 54.35% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 92 | | matches | | | ratio | 0.011 | |
| 80.20% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 5 | | matches | | 0 | "The usual hum of the place, a thrumming energy that vibrated just beneath the soil, was gone." | | 1 | "The wildflowers that carpeted the clearing were lurid in the moonlight, their colours too saturated, their petals opened too wide, like mouths gasping for air." | | 2 | "She kept her eyes on the trees as she approached the central stone, a great menhir that felt warmer than the night air." | | 3 | "The cold that had been seeping into her bones intensified, a damp chill that had nothing to do with the night’s temperature." | | 4 | "Something that belonged to the deep, silent woods, to the places where time frayed and the moon shone with a different light." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |