| 57.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 8 | | tagDensity | 0.875 | | leniency | 1 | | rawRatio | 0.143 | | effectiveRatio | 0.143 | |
| 90.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2050 | | totalAiIsmAdverbs | 4 | | 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) | |
| 56.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2050 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "pulsed" | | 1 | "comforting" | | 2 | "warmth" | | 3 | "throbbed" | | 4 | "pulse" | | 5 | "flickered" | | 6 | "footsteps" | | 7 | "silence" | | 8 | "perfect" | | 9 | "familiar" |
| |
| 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 | 1 | | narrationSentences | 253 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 7 | | narrationSentences | 253 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "appeared to" | | 3 | "began to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 255 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2048 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 2021 | | uniqueNames | 11 | | maxNameDensity | 1.43 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Richmond | 2 | | Park | 2 | | Golden | 1 | | Empress | 1 | | November | 1 | | Eva | 2 | | Silence | 1 | | Aurora | 29 | | Rory | 2 | | Laila | 1 |
| | persons | | 0 | "Carter" | | 1 | "Empress" | | 2 | "Eva" | | 3 | "Aurora" | | 4 | "Rory" | | 5 | "Laila" |
| | places | | | globalScore | 0.783 | | windowScore | 0.667 | |
| 97.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 142 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed narrower than it had been, and the path beyond no longer appeared to lead toward the park" | | 1 | "pulse that seemed to illuminate the veins in her hand" | | 2 | "as if listening with an ear that had been placed too low" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2048 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 4 | | totalSentences | 255 | | matches | | 0 | "suspect that the" | | 1 | "was that the" | | 2 | "was that someone" | | 3 | "knew—that the" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 159 | | mean | 12.88 | | std | 15.83 | | cv | 1.229 | | sampleLengths | | 0 | 10 | | 1 | 58 | | 2 | 3 | | 3 | 46 | | 4 | 9 | | 5 | 9 | | 6 | 37 | | 7 | 5 | | 8 | 3 | | 9 | 5 | | 10 | 5 | | 11 | 5 | | 12 | 29 | | 13 | 1 | | 14 | 78 | | 15 | 14 | | 16 | 8 | | 17 | 47 | | 18 | 5 | | 19 | 68 | | 20 | 22 | | 21 | 3 | | 22 | 67 | | 23 | 4 | | 24 | 26 | | 25 | 5 | | 26 | 36 | | 27 | 5 | | 28 | 8 | | 29 | 4 | | 30 | 52 | | 31 | 4 | | 32 | 2 | | 33 | 2 | | 34 | 12 | | 35 | 1 | | 36 | 1 | | 37 | 1 | | 38 | 21 | | 39 | 5 | | 40 | 1 | | 41 | 6 | | 42 | 2 | | 43 | 26 | | 44 | 2 | | 45 | 27 | | 46 | 4 | | 47 | 4 | | 48 | 5 | | 49 | 5 |
| |
| 96.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 253 | | matches | | 0 | "was ridged" | | 1 | "been fenced" | | 2 | "been placed" | | 3 | "were planted" | | 4 | "was gone" | | 5 | "was gone" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 339 | | matches | | 0 | "wasn’t looking" | | 1 | "was playing" | | 2 | "was trying" | | 3 | "was waiting" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 255 | | ratio | 0.004 | | matches | | 0 | "Running would mean looking back, and she knew—without knowing how she knew—that the thing behind the trees was waiting for her to do exactly that." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 344 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.02616279069767442 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0029069767441860465 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 255 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 255 | | mean | 8.03 | | std | 6.43 | | cv | 0.801 | | sampleLengths | | 0 | 10 | | 1 | 20 | | 2 | 7 | | 3 | 3 | | 4 | 4 | | 5 | 24 | | 6 | 3 | | 7 | 18 | | 8 | 9 | | 9 | 19 | | 10 | 9 | | 11 | 9 | | 12 | 2 | | 13 | 3 | | 14 | 23 | | 15 | 9 | | 16 | 5 | | 17 | 3 | | 18 | 5 | | 19 | 5 | | 20 | 3 | | 21 | 2 | | 22 | 5 | | 23 | 12 | | 24 | 12 | | 25 | 1 | | 26 | 14 | | 27 | 35 | | 28 | 17 | | 29 | 12 | | 30 | 14 | | 31 | 8 | | 32 | 6 | | 33 | 29 | | 34 | 9 | | 35 | 2 | | 36 | 1 | | 37 | 5 | | 38 | 35 | | 39 | 6 | | 40 | 27 | | 41 | 9 | | 42 | 2 | | 43 | 3 | | 44 | 8 | | 45 | 3 | | 46 | 24 | | 47 | 12 | | 48 | 16 | | 49 | 15 |
| |
| 43.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.26587301587301587 | | totalSentences | 252 | | uniqueOpeners | 67 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 12 | | totalSentences | 210 | | matches | | 0 | "Only the oaks." | | 1 | "Then the numbers flickered." | | 2 | "Too deep, too wet, more" | | 3 | "Then came the warmth." | | 4 | "Only a pale moon and" | | 5 | "Somewhere among the flowers, a" | | 6 | "Then a voice said," | | 7 | "Then she noticed the room’s" | | 8 | "Somewhere nearby, a deer snorted" | | 9 | "Only ordinary oaks stood beyond" | | 10 | "Then, beneath the earth behind" | | 11 | "Then the darkness closed, and" |
| | ratio | 0.057 | |
| 92.38% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 67 | | totalSentences | 210 | | matches | | 0 | "She kept walking." | | 1 | "Her shoes were already damp" | | 2 | "It had been warm when" | | 3 | "She waited, holding her breath." | | 4 | "Her voice sounded too loud." | | 5 | "It travelled between the trees" | | 6 | "She could almost hear another" | | 7 | "It had appeared in the" | | 8 | "It gave off a faint" | | 9 | "She had worn it because" | | 10 | "She had delivered the last" | | 11 | "She had read enough scattered" | | 12 | "She still wasn’t sure whether" | | 13 | "They stood in an uneven" | | 14 | "Their bark was ridged and" | | 15 | "She lifted it from beneath" | | 16 | "They carpeted the clearing in" | | 17 | "It was November." | | 18 | "Her first thought was that" | | 19 | "Her second was that she" |
| | ratio | 0.319 | |
| 64.76% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 166 | | totalSentences | 210 | | matches | | 0 | "Aurora Carter knew Richmond Park" | | 1 | "The paths narrowed." | | 2 | "The trees crowded close." | | 3 | "Every pale trunk became a" | | 4 | "She kept walking." | | 5 | "The beam of her phone" | | 6 | "Mist had gathered in the" | | 7 | "Her shoes were already damp" | | 8 | "The pendant rested against her" | | 9 | "It had been warm when" | | 10 | "A small, steady heat, as" | | 11 | "Aurora stopped beneath an oak." | | 12 | "The heat faded." | | 13 | "She waited, holding her breath." | | 14 | "Nothing moved except the grass." | | 15 | "Her voice sounded too loud." | | 16 | "It travelled between the trees" | | 17 | "She could almost hear another" | | 18 | "The pendant’s chain had been" | | 19 | "It had appeared in the" |
| | ratio | 0.79 | |
| 23.81% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 210 | | matches | | 0 | "Now it pulsed against her" |
| | ratio | 0.005 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 75 | | technicalSentenceCount | 3 | | matches | | 0 | "She had read enough scattered notes, heard enough half-joking warnings from people who stopped joking when they thought she wasn’t looking, to suspect that the …" | | 1 | "Its glow showed through her fingers, a deep red pulse that seemed to illuminate the veins in her hand." | | 2 | "Aurora’s mind assembled a person before her eyes found one: a man in a dark coat, perhaps a park ranger, perhaps someone who had followed her." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 66.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 8 | | tagDensity | 0.75 | | leniency | 1 | | rawRatio | 0.167 | | effectiveRatio | 0.167 | |