| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1355 | | 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) | |
| 33.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1355 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "familiar" | | 1 | "chill" | | 2 | "pulsed" | | 3 | "rhythmic" | | 4 | "throb" | | 5 | "weight" | | 6 | "silence" | | 7 | "scanning" | | 8 | "stark" | | 9 | "echo" | | 10 | "pulse" | | 11 | "searing" | | 12 | "vibrated" |
| |
| 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 | 134 | | matches | (empty) | |
| 78.89% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 4 | | narrationSentences | 134 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 136 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1353 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 1337 | | uniqueNames | 7 | | maxNameDensity | 0.9 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Carter | 1 | | Heartstone | 1 | | One | 1 | | London | 1 | | Aurora | 12 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 101 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1353 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 136 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 50.11 | | std | 26.98 | | cv | 0.538 | | sampleLengths | | 0 | 98 | | 1 | 103 | | 2 | 75 | | 3 | 93 | | 4 | 3 | | 5 | 67 | | 6 | 43 | | 7 | 22 | | 8 | 74 | | 9 | 50 | | 10 | 79 | | 11 | 26 | | 12 | 5 | | 13 | 59 | | 14 | 40 | | 15 | 71 | | 16 | 28 | | 17 | 41 | | 18 | 48 | | 19 | 20 | | 20 | 62 | | 21 | 23 | | 22 | 53 | | 23 | 17 | | 24 | 51 | | 25 | 69 | | 26 | 33 |
| |
| 94.79% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 134 | | matches | | 0 | "was replaced" | | 1 | "was swallowed" | | 2 | "was gone" | | 3 | "was gone" |
| |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 10 | | totalVerbs | 235 | | matches | | 0 | "was leading" | | 1 | "was struggling" | | 2 | "was breathing" | | 3 | "was reacting" | | 4 | "wasn't just reacting" | | 5 | "were standing" | | 6 | "was spinning" | | 7 | "were closing" | | 8 | "was facing" | | 9 | "was waiting" |
| |
| 37.82% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 4 | | flaggedSentences | 5 | | totalSentences | 136 | | ratio | 0.037 | | matches | | 0 | "The ambient noise of the city—the distant hum of traffic, the rustle of wind through the beech trees—vanished." | | 1 | "It wasn't a shadow detaching from a tree; it was a shadow detaching from the air itself." | | 2 | "It wasn't just reacting to the location; it was reacting to something near." | | 3 | "It didn't walk; it glided, its feet not touching the grass." | | 4 | "The ash didn't fall; it hung in the air, suspended." |
| |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1341 | | adjectiveStacks | 2 | | stackExamples | | 0 | "physical, pressing against her" | | 1 | "small crescent-shaped scar" |
| | adverbCount | 42 | | adverbRatio | 0.03131991051454139 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.008948545861297539 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 136 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 136 | | mean | 9.95 | | std | 5.7 | | cv | 0.573 | | sampleLengths | | 0 | 20 | | 1 | 19 | | 2 | 18 | | 3 | 25 | | 4 | 6 | | 5 | 4 | | 6 | 6 | | 7 | 14 | | 8 | 16 | | 9 | 25 | | 10 | 9 | | 11 | 25 | | 12 | 14 | | 13 | 6 | | 14 | 8 | | 15 | 18 | | 16 | 15 | | 17 | 4 | | 18 | 24 | | 19 | 6 | | 20 | 19 | | 21 | 12 | | 22 | 18 | | 23 | 20 | | 24 | 7 | | 25 | 11 | | 26 | 3 | | 27 | 10 | | 28 | 7 | | 29 | 10 | | 30 | 2 | | 31 | 12 | | 32 | 11 | | 33 | 15 | | 34 | 29 | | 35 | 14 | | 36 | 4 | | 37 | 4 | | 38 | 14 | | 39 | 9 | | 40 | 5 | | 41 | 8 | | 42 | 8 | | 43 | 17 | | 44 | 14 | | 45 | 13 | | 46 | 5 | | 47 | 8 | | 48 | 5 | | 49 | 5 |
| |
| 31.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 25 | | diversityRatio | 0.18382352941176472 | | totalSentences | 136 | | uniqueOpeners | 25 | |
| 51.68% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 129 | | matches | | 0 | "Just the hum, rising in" | | 1 | "Just a dead mirror in" |
| | ratio | 0.016 | |
| 27.75% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 62 | | totalSentences | 129 | | matches | | 0 | "She stood before the boundary" | | 1 | "She knew the coordinates by" | | 2 | "She knew the time." | | 3 | "She knew she shouldn't be" | | 4 | "Her fingers found the silver" | | 5 | "It was warm, uncomfortably so," | | 6 | "She had come because the" | | 7 | "It had been quiet for" | | 8 | "It was leading her here," | | 9 | "It was replaced by a" | | 10 | "She checked her watch." | | 11 | "She moved deeper into the" | | 12 | "They were too bright, their" | | 13 | "She was a delivery driver," | | 14 | "She was not a hunter" | | 15 | "It wasn't the sound of" | | 16 | "It was sharper, like a" | | 17 | "She took a step forward," | | 18 | "She rubbed the small crescent-shaped" | | 19 | "she called out" |
| | ratio | 0.481 | |
| 10.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 116 | | totalSentences | 129 | | matches | | 0 | "The wind in Richmond Park" | | 1 | "Tonight, it carried the scent" | | 2 | "Aurora Carter pulled the collar" | | 3 | "She stood before the boundary" | | 4 | "She knew the coordinates by" | | 5 | "She knew the time." | | 6 | "She knew she shouldn't be" | | 7 | "Her fingers found the silver" | | 8 | "It was warm, uncomfortably so," | | 9 | "The deep crimson gemstone pulsed" | | 10 | "She had come because the" | | 11 | "It had been quiet for" | | 12 | "It was leading her here," | | 13 | "Aurora stepped past the first" | | 14 | "The air pressure dropped instantly," | | 15 | "The ambient noise of the" | | 16 | "It was replaced by a" | | 17 | "She checked her watch." | | 18 | "The second hand was moving," | | 19 | "She moved deeper into the" |
| | ratio | 0.899 | |
| 38.76% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 129 | | matches | | 0 | "If she could reach the" |
| | ratio | 0.008 | |
| 43.96% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 65 | | technicalSentenceCount | 9 | | matches | | 0 | "She stood before the boundary markers, ancient oak standing stones that looked less like natural formations and more like teeth jutting from the dark soil." | | 1 | "It was warm, uncomfortably so, radiating a heat that seeped through the fabric of her shirt." | | 2 | "The deep crimson gemstone pulsed with a faint inner glow, a rhythmic throb against her sternum that matched the frantic beating of her own heart." | | 3 | "The second hand was moving, but the sweep was wrong, jerky and hesitant, as if time itself was struggling to flow through the soil." | | 4 | "Wildflowers bloomed around her ankles, vibrant purples and crimsons that had no business existing in the dead of winter." | | 5 | "The moss felt spongy, yielding too much, as if the ground beneath her was breathing." | | 6 | "She rubbed the small crescent-shaped scar on her left wrist, a grounding ritual from a childhood accident that had taught her that pain was real, that reality h…" | | 7 | "She reached for her phone, needing light, needing a tether to the normal world." | | 8 | "She tore at them, her fingers bleeding, the sharp pain grounding her." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice steady despite the tremor in her limbs" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "a voice whispered (whisper)" |
| | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.5 | | effectiveRatio | 0.4 | |