| 82.35% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "Her voice trembled slightly [slightly]" |
| | dialogueSentences | 17 | | tagDensity | 0.412 | | leniency | 0.824 | | rawRatio | 0.143 | | effectiveRatio | 0.118 | |
| 65.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1014 | | totalAiIsmAdverbs | 7 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "deliberately" | | count | 1 |
| | 4 | |
| | highlights | | 0 | "softly" | | 1 | "slowly" | | 2 | "slightly" | | 3 | "deliberately" | | 4 | "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) | |
| 16.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1014 | | totalAiIsms | 17 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | word | "the last thing" | | count | 1 |
| | 13 | |
| | highlights | | 0 | "loomed" | | 1 | "pulsed" | | 2 | "silence" | | 3 | "weight" | | 4 | "oppressive" | | 5 | "echoing" | | 6 | "perfect" | | 7 | "trembled" | | 8 | "whisper" | | 9 | "flickered" | | 10 | "racing" | | 11 | "vibrated" | | 12 | "the last thing" | | 13 | "glinting" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 78 | | matches | (empty) | |
| 87.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 78 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1012 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 925 | | uniqueNames | 7 | | maxNameDensity | 1.51 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Aurora | 1 | | Heartstone | 2 | | Welsh | 1 | | Richmond | 1 | | Park | 1 | | October | 1 | | Rory | 14 |
| | persons | | | places | | | globalScore | 0.743 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 4 | | matches | | 0 | "faces that seemed to watch her approach" | | 1 | "as if begging the sky for something" | | 2 | "shapes that seemed to shift if she stared too long" | | 3 | "appeared taller their twisted faces more menacing" |
| |
| 2.37% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.976 | | wordCount | 1012 | | matches | | 0 | "Not random patterns, but precise geometric shapes" | | 1 | "not from any single direction but from everywhere at once" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 88 | | matches | | |
| 92.50% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 31.63 | | std | 14.98 | | cv | 0.474 | | sampleLengths | | 0 | 38 | | 1 | 64 | | 2 | 38 | | 3 | 22 | | 4 | 45 | | 5 | 42 | | 6 | 54 | | 7 | 49 | | 8 | 21 | | 9 | 5 | | 10 | 47 | | 11 | 23 | | 12 | 11 | | 13 | 41 | | 14 | 34 | | 15 | 22 | | 16 | 43 | | 17 | 2 | | 18 | 39 | | 19 | 38 | | 20 | 35 | | 21 | 5 | | 22 | 34 | | 23 | 19 | | 24 | 16 | | 25 | 47 | | 26 | 48 | | 27 | 33 | | 28 | 27 | | 29 | 32 | | 30 | 14 | | 31 | 24 |
| |
| 91.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 78 | | matches | | 0 | "was blackened" | | 1 | "was gone" | | 2 | "was cracked" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 154 | | matches | | 0 | "was holding" | | 1 | "was rearranging" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 88 | | ratio | 0 | | matches | (empty) | |
| 86.86% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 927 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 51 | | adverbRatio | 0.05501618122977346 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.017259978425026967 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 11.5 | | std | 5.87 | | cv | 0.51 | | sampleLengths | | 0 | 20 | | 1 | 18 | | 2 | 17 | | 3 | 2 | | 4 | 2 | | 5 | 28 | | 6 | 2 | | 7 | 3 | | 8 | 10 | | 9 | 13 | | 10 | 3 | | 11 | 22 | | 12 | 12 | | 13 | 7 | | 14 | 3 | | 15 | 8 | | 16 | 14 | | 17 | 12 | | 18 | 11 | | 19 | 14 | | 20 | 17 | | 21 | 11 | | 22 | 11 | | 23 | 13 | | 24 | 19 | | 25 | 11 | | 26 | 8 | | 27 | 13 | | 28 | 12 | | 29 | 16 | | 30 | 12 | | 31 | 9 | | 32 | 5 | | 33 | 8 | | 34 | 1 | | 35 | 9 | | 36 | 6 | | 37 | 23 | | 38 | 6 | | 39 | 12 | | 40 | 5 | | 41 | 11 | | 42 | 4 | | 43 | 7 | | 44 | 4 | | 45 | 8 | | 46 | 12 | | 47 | 6 | | 48 | 11 | | 49 | 23 |
| |
| 57.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3977272727272727 | | totalSentences | 88 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 74 | | matches | | 0 | "Just silence that pressed against" | | 1 | "Just the empty grove and" | | 2 | "No longer just the absence" | | 3 | "Too tall to be a" | | 4 | "Too many layers, too many" |
| | ratio | 0.068 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 74 | | matches | | 0 | "She cleared her throat and" | | 1 | "Her heart hammered against her" | | 2 | "She took another step forward," | | 3 | "Its bark was blackened, as" | | 4 | "she whispered, more to herself" | | 5 | "Her voice trembled slightly" | | 6 | "She forced herself to stand" | | 7 | "She blinked, and it was" | | 8 | "She pulled it out, watching" | | 9 | "she said, taking a step" | | 10 | "She tried another direction, with" | | 11 | "It vibrated through the ground," | | 12 | "It wouldn't break." | | 13 | "It wasn't human, not quite." | | 14 | "She dropped to her knees," |
| | ratio | 0.203 | |
| 54.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 74 | | matches | | 0 | "The ancient oak standing stones" | | 1 | "The Heartstone pendant beneath her" | | 2 | "Rory adjusted the strap of" | | 3 | "Eva had sworn the answers" | | 4 | "The wildflowers bloomed in impossible" | | 5 | "Nothing natural should bloom so" | | 6 | "The word died in her" | | 7 | "She cleared her throat and" | | 8 | "Something shifted at the edge" | | 9 | "Rory snapped her head left," | | 10 | "Her heart hammered against her" | | 11 | "The pendant beneath her shirt" | | 12 | "She took another step forward," | | 13 | "The air changed instantly, growing" | | 14 | "The temperature dropped, and Rory" | | 15 | "The grove was larger than" | | 16 | "Its bark was blackened, as" | | 17 | "Rory approached the tree slowly," | | 18 | "The grass beneath her trainers" | | 19 | "she whispered, more to herself" |
| | ratio | 0.811 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 3 | | matches | | 0 | "Eva had sworn the answers were here, but the Welsh girl who'd shared her school lunches and secrets had neglected to mention the unsettling stillness of the pla…" | | 1 | "In the middle stood a single massive oak, its branches twisted upwards as if begging the sky for something." | | 2 | "Not random patterns, but precise geometric shapes that seemed to shift if she stared too long." |
| |
| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 1 | | matches | | 0 | "she whispered, more to herself than to whatever might be listening" |
| |
| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 17 | | tagDensity | 0.235 | | leniency | 0.471 | | rawRatio | 0.25 | | effectiveRatio | 0.118 | |