| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.39% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 756 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 756 | | totalAiIsms | 29 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "down her spine" | | count | 1 |
| | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "loomed" | | 1 | "sense of" | | 2 | "beacon" | | 3 | "silence" | | 4 | "oppressive" | | 5 | "warmth" | | 6 | "pulsed" | | 7 | "reminder" | | 8 | "quickened" | | 9 | "footsteps" | | 10 | "down her spine" | | 11 | "scanning" | | 12 | "pounding" | | 13 | "imposing" | | 14 | "racing" | | 15 | "tension" | | 16 | "could feel" | | 17 | "weight" | | 18 | "otherworldly" |
| |
| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "air was thick with" | | count | 2 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "The air was heavy with" | | 1 | "The air was thick with" | | 2 | "sent a shiver down" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 47 | | matches | | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 10 | | narrationSentences | 47 | | filterMatches | (empty) | | hedgeMatches | | 0 | "began to" | | 1 | "seemed to" | | 2 | "tried to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 47 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 756 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 747 | | uniqueNames | 8 | | maxNameDensity | 0.8 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | Richmond | 1 | | Park | 1 | | Fae | 3 | | Grove | 3 | | Heartstone | 1 | | Pendant | 1 | | Rory | 6 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 4 | | matches | | 0 | "quite put her finger on why" | | 1 | "felt like a betrayal, as if she was bei" | | 2 | "sound that seemed to come from all around her, and yet, from nowhere at all" | | 3 | "seemed rooted to the spot" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 756 | | matches | (empty) | |
| 95.74% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 47 | | matches | | |
| 19.96% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 10 | | mean | 75.6 | | std | 16.62 | | cv | 0.22 | | sampleLengths | | 0 | 115 | | 1 | 87 | | 2 | 83 | | 3 | 71 | | 4 | 75 | | 5 | 73 | | 6 | 78 | | 7 | 64 | | 8 | 53 | | 9 | 57 |
| |
| 82.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 47 | | matches | | 0 | "been drawn" | | 1 | "been drawn" | | 2 | "was rumored" | | 3 | "being herded" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 127 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 47 | | ratio | 0 | | matches | (empty) | |
| 97.62% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 749 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.042723631508678236 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.00801068090787717 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 47 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 47 | | mean | 16.09 | | std | 6.95 | | cv | 0.432 | | sampleLengths | | 0 | 29 | | 1 | 26 | | 2 | 19 | | 3 | 41 | | 4 | 13 | | 5 | 16 | | 6 | 15 | | 7 | 27 | | 8 | 16 | | 9 | 22 | | 10 | 20 | | 11 | 8 | | 12 | 16 | | 13 | 1 | | 14 | 16 | | 15 | 19 | | 16 | 16 | | 17 | 16 | | 18 | 20 | | 19 | 18 | | 20 | 18 | | 21 | 15 | | 22 | 6 | | 23 | 18 | | 24 | 21 | | 25 | 9 | | 26 | 20 | | 27 | 23 | | 28 | 11 | | 29 | 15 | | 30 | 12 | | 31 | 13 | | 32 | 9 | | 33 | 17 | | 34 | 1 | | 35 | 16 | | 36 | 19 | | 37 | 17 | | 38 | 12 | | 39 | 17 | | 40 | 20 | | 41 | 16 | | 42 | 14 | | 43 | 12 | | 44 | 15 | | 45 | 1 | | 46 | 15 |
| |
| 43.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.2978723404255319 | | totalSentences | 47 | | uniqueOpeners | 14 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 44 | | matches | | 0 | "She had been drawn to" | | 1 | "She had always been drawn" | | 2 | "She spun around, but there" | | 3 | "She continued on, her footsteps" | | 4 | "It was a sound that" | | 5 | "She tried to tell herself" | | 6 | "She spun around, but there" | | 7 | "She knew, with a certainty" | | 8 | "She took another step back," | | 9 | "She turned to run, but" |
| | ratio | 0.227 | |
| 39.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 37 | | totalSentences | 44 | | matches | | 0 | "Aurora Carter stepped out of" | | 1 | "The air was heavy with" | | 2 | "She had been drawn to" | | 3 | "A sense of restlessness had" | | 4 | "The trees seemed to absorb" | | 5 | "Rory shivered, despite the warmth" | | 6 | "She had always been drawn" | | 7 | "The pendant, which she wore" | | 8 | "She spun around, but there" | | 9 | "The trees seemed to be" | | 10 | "Rory's heart quickened, and she" | | 11 | "She continued on, her footsteps" | | 12 | "The trees seemed to be" | | 13 | "Every step felt like a" | | 14 | "The pendant's warmth grew stronger," | | 15 | "A faint humming noise began" | | 16 | "It was a sound that" | | 17 | "Rory's skin crawled, and she" | | 18 | "The humming grew louder, more" | | 19 | "She tried to tell herself" |
| | ratio | 0.841 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 48.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 5 | | matches | | 0 | "Aurora Carter stepped out of the mist-shrouded darkness of Richmond Park and into the Fae Grove, her eyes adjusting slowly to the soft, ethereal light that perm…" | | 1 | "The trees seemed to absorb sound, leaving only an oppressive stillness that made her skin prickle." | | 2 | "The trees seemed to be shifting, their branches tangling together in a way that seemed almost..." | | 3 | "The trees seemed to be shifting again, their branches weaving together in a way that seemed almost..." | | 4 | "Rory took a step back, her eyes scanning the trees, searching for any sign of movement." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "a low whispery voice spoke (speak)" |
| | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |