| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 73.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 767 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 2 |
| | 2 | |
| | highlights | | 0 | "knowingly" | | 1 | "barely above a whisper" | | 2 | "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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 767 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | word | "down her spine" | | count | 2 |
| | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | word | "skipped a beat" | | count | 1 |
|
| | highlights | | 0 | "foreboding" | | 1 | "racing" | | 2 | "anticipation" | | 3 | "glinting" | | 4 | "whisper" | | 5 | "silence" | | 6 | "footsteps" | | 7 | "loomed" | | 8 | "down her spine" | | 9 | "otherworldly" | | 10 | "enigma" | | 11 | "enigmatic" | | 12 | "treacherous" | | 13 | "scanning" | | 14 | "vibrated" | | 15 | "cacophony" | | 16 | "sense of" | | 17 | "oppressive" | | 18 | "skipped a beat" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "sense of foreboding" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "a sense of unease" |
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| 0.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 9 | | narrationSentences | 45 | | matches | | 0 | "a thrill of excitement" | | 1 | "felt a thrill" | | 2 | "g with anticipation" | | 3 | "felt a shiver" | | 4 | "d with wonder" | | 5 | "a twinge of unease" | | 6 | "felt a twinge" | | 7 | "a sense of wonder" | | 8 | "a sense of unease" |
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| 15.87% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 45 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 51 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 773 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 49.14% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 694 | | uniqueNames | 5 | | maxNameDensity | 2.02 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 14 | | Nyx | 7 | | Isolde | 7 | | Grove | 5 | | Fae | 1 |
| | persons | | | places | | | globalScore | 0.491 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 70.63% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.294 | | wordCount | 773 | | matches | | 0 | "not just one type, but a hundred, all blooming simultaneously, like a riotous explo" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 51 | | matches | (empty) | |
| 67.64% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 16 | | mean | 48.31 | | std | 18.68 | | cv | 0.387 | | sampleLengths | | 0 | 59 | | 1 | 44 | | 2 | 83 | | 3 | 56 | | 4 | 43 | | 5 | 71 | | 6 | 22 | | 7 | 72 | | 8 | 65 | | 9 | 55 | | 10 | 44 | | 11 | 44 | | 12 | 42 | | 13 | 11 | | 14 | 30 | | 15 | 32 |
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| 81.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 45 | | matches | | 0 | "was filled" | | 1 | "was woven" | | 2 | "being watched" |
| |
| 78.79% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 110 | | matches | | 0 | "were walking" | | 1 | "was watching" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 51 | | ratio | 0.098 | | matches | | 0 | "The three of them – Rory, Nyx, and Isolde – walked in silence, their footsteps quiet on the soft, emerald-green grass." | | 1 | "The air was filled with the sweet, heady scent of wildflowers – not just one type, but a hundred, all blooming simultaneously, like a riotous explosion of color." | | 2 | "The air vibrated with the hum of insect life – tiny, iridescent creatures flitted about their heads, their wings beating in a hypnotic rhythm." | | 3 | "As they stood there, the music grew louder, until it became a cacophony of sound – a thousand different melodies blended into a single, majestic harmony." | | 4 | "This was the heart of the Fae Grove – a place where time itself was woven, where the fabric of reality was both fragile and resilient." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 689 | | adjectiveStacks | 1 | | stackExamples | | 0 | "soft, emerald-green grass." |
| | adverbCount | 20 | | adverbRatio | 0.02902757619738752 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.010159651669085631 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 51 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 51 | | mean | 15.16 | | std | 6.5 | | cv | 0.429 | | sampleLengths | | 0 | 22 | | 1 | 22 | | 2 | 15 | | 3 | 15 | | 4 | 19 | | 5 | 10 | | 6 | 21 | | 7 | 18 | | 8 | 22 | | 9 | 22 | | 10 | 16 | | 11 | 20 | | 12 | 16 | | 13 | 4 | | 14 | 7 | | 15 | 28 | | 16 | 8 | | 17 | 33 | | 18 | 24 | | 19 | 14 | | 20 | 13 | | 21 | 8 | | 22 | 1 | | 23 | 14 | | 24 | 18 | | 25 | 16 | | 26 | 15 | | 27 | 9 | | 28 | 26 | | 29 | 13 | | 30 | 26 | | 31 | 23 | | 32 | 22 | | 33 | 10 | | 34 | 15 | | 35 | 14 | | 36 | 15 | | 37 | 10 | | 38 | 11 | | 39 | 15 | | 40 | 8 | | 41 | 18 | | 42 | 15 | | 43 | 9 | | 44 | 11 | | 45 | 12 | | 46 | 14 | | 47 | 4 | | 48 | 14 | | 49 | 9 |
| |
| 60.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.37254901960784315 | | totalSentences | 51 | | uniqueOpeners | 19 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 45 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 45 | | matches | | 0 | "she said, her voice barely" | | 1 | "It was cool to the" | | 2 | "she breathed, her voice barely" | | 3 | "she said, her voice low" | | 4 | "It was a music both" | | 5 | "she called out, her voice" | | 6 | "She turned to Isolde, who" | | 7 | "she said, her voice low" | | 8 | "she whispered to Isolde, her" | | 9 | "she said, her voice dripping" | | 10 | "They were being watched, she" |
| | ratio | 0.244 | |
| 37.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 45 | | matches | | 0 | "The sky above, a deep," | | 1 | "Rory felt a thrill of" | | 2 | "Isolde, her guide and friend," | | 3 | "she said, her voice barely" | | 4 | "The three of them –" | | 5 | "The trees loomed above them," | | 6 | "Rory felt a shiver run" | | 7 | "It was cool to the" | | 8 | "Nyx, ever the enigma, drifted" | | 9 | "Rory watched, fascinated, as Nyx's" | | 10 | "Isolde said, a small, enigmatic" | | 11 | "Rory nodded, her eyes scanning" | | 12 | "The air was filled with" | | 13 | "she breathed, her voice barely" | | 14 | "The air vibrated with the" | | 15 | "Rory felt her senses reel," | | 16 | "Isolde paused, her head cocked" | | 17 | "she said, her voice low" | | 18 | "Rory and Nyx froze, their" | | 19 | "It was a music both" |
| | ratio | 0.844 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 45 | | matches | (empty) | | ratio | 0 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 2 | | matches | | 0 | "As they walked deeper into the Grove, the trees grew taller, their trunks thickening, until Rory felt as though they were walking through a cathedral, the vault…" | | 1 | "Nyx, ever the mystery, seemed to be drawn deeper into the music, their form shifting and flowing like a shadow across the trees." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 6 | | matches | | 0 | "she breathed, her voice barely audible" | | 1 | "she said, her voice low and urgent" | | 2 | "she called out, her voice barely above a whisper" | | 3 | "she said, her voice low and enigmatic" | | 4 | "she whispered, her voice barely audible" | | 5 | "she said, her voice dripping with enigma" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "she breathed (breathe)" | | 1 | "she called out (call out)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 15 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0.333 | | effectiveRatio | 0.333 | |