| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 73.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1144 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "softly" | | 2 | "utterly" | | 3 | "perfectly" | | 4 | "truly" |
| |
| 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 | 1144 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "weight" | | 1 | "profound" | | 2 | "silence" | | 3 | "familiar" | | 4 | "warmth" | | 5 | "chill" | | 6 | "stark" | | 7 | "tapestry" | | 8 | "whisper" | | 9 | "shimmered" | | 10 | "pulse" | | 11 | "crystal" | | 12 | "stomach" | | 13 | "vibrated" | | 14 | "resonated" | | 15 | "perfect" | | 16 | "silk" | | 17 | "depths" | | 18 | "sanctuary" | | 19 | "wavering" | | 20 | "reminder" | | 21 | "sense of" |
| |
| 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 | 78 | | matches | | |
| 51.28% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 78 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 85 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 98.42% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 58 | | totalWords | 1142 | | ratio | 0.051 | | matches | | 0 | "“The barrier is not a wall. It is a membrane. And we have slipped through its pores.”" | | 1 | "“Time is a mortal construct. A river you have built banks for. Here… the river has no banks.”" | | 2 | "was" | | 3 | "“It is a place outside the story,”" | | 4 | "“A footnote between pages. A useful place to hide. Or to find what was lost.”" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 1022 | | uniqueNames | 16 | | maxNameDensity | 0.78 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 8 | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | Dymas | 1 | | Hel | 1 | | Fae-touched | 1 | | Nyx | 3 | | Cardiff | 1 | | London | 1 | | Seer | 2 | | Isolde | 5 | | Fae-forged | 1 | | Shade | 1 | | Hell | 1 | | Fae | 3 |
| | persons | | 0 | "Rory" | | 1 | "Hel" | | 2 | "Nyx" | | 3 | "Isolde" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Heartstone" | | 3 | "Cardiff" | | 4 | "London" | | 5 | "Seer" | | 6 | "Fae" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 6 | | matches | | 0 | "felt like a piece of Dymas, a fragment" | | 1 | "whisper that seemed to come from the rustle of the leaves all around them" | | 2 | "seemed untouched by the damp or the chill" | | 3 | "looked like a pane of glass, occupied the" | | 4 | "seemed wider more luminous in this light" | | 5 | "felt like two opposing forces, two anch" |
| |
| 24.87% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.751 | | wordCount | 1142 | | matches | | 0 | "not with surprise, but with a kind of serene homecoming" | | 1 | "neither warm nor" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 85.06% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 17 | | mean | 67.18 | | std | 30.07 | | cv | 0.448 | | sampleLengths | | 0 | 90 | | 1 | 79 | | 2 | 60 | | 3 | 65 | | 4 | 101 | | 5 | 42 | | 6 | 42 | | 7 | 54 | | 8 | 34 | | 9 | 92 | | 10 | 96 | | 11 | 78 | | 12 | 84 | | 13 | 12 | | 14 | 46 | | 15 | 33 | | 16 | 134 |
| |
| 96.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 78 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 148 | | matches | | 0 | "weren’t walking" | | 1 | "was standing" |
| |
| 75.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 85 | | ratio | 0.024 | | matches | | 0 | "The ordinary sounds of Richmond Park—the distant traffic, the shouts of children, the barking of dogs—had vanished, replaced by a profound and humming silence." | | 1 | "It wasn’t the setting of the sun; the sky above the canopy of trees remained a soft, perpetual twilight." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1031 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.03297769156159069 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.009699321047526674 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 85 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 85 | | mean | 13.44 | | std | 6.76 | | cv | 0.503 | | sampleLengths | | 0 | 12 | | 1 | 19 | | 2 | 25 | | 3 | 10 | | 4 | 24 | | 5 | 10 | | 6 | 23 | | 7 | 9 | | 8 | 20 | | 9 | 17 | | 10 | 16 | | 11 | 7 | | 12 | 16 | | 13 | 16 | | 14 | 5 | | 15 | 4 | | 16 | 23 | | 17 | 21 | | 18 | 17 | | 19 | 9 | | 20 | 22 | | 21 | 9 | | 22 | 7 | | 23 | 5 | | 24 | 11 | | 25 | 10 | | 26 | 7 | | 27 | 21 | | 28 | 7 | | 29 | 22 | | 30 | 13 | | 31 | 14 | | 32 | 15 | | 33 | 13 | | 34 | 4 | | 35 | 14 | | 36 | 4 | | 37 | 7 | | 38 | 5 | | 39 | 1 | | 40 | 6 | | 41 | 2 | | 42 | 8 | | 43 | 3 | | 44 | 16 | | 45 | 18 | | 46 | 14 | | 47 | 19 | | 48 | 24 | | 49 | 8 |
| |
| 56.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.35294117647058826 | | totalSentences | 85 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 60.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 75 | | matches | | 0 | "It was clean, sharp, and" | | 1 | "She stepped forward, her boots" | | 2 | "It gave softly under her" | | 3 | "It felt like a piece" | | 4 | "She left no footprints on" | | 5 | "Her pale lavender eyes were" | | 6 | "she said, her voice like" | | 7 | "They weren’t walking so much" | | 8 | "Their voice, when it came," | | 9 | "She was a delivery driver" | | 10 | "Her gaze swept the clearing." | | 11 | "She reached out and touched" | | 12 | "It was cool and damp," | | 13 | "She snatched her hand back," | | 14 | "She forced herself to focus," | | 15 | "She checked her watch." | | 16 | "She frowned, tapping the crystal." | | 17 | "She held it to her" | | 18 | "It wasn’t the setting of" | | 19 | "It happened without a source," |
| | ratio | 0.4 | |
| 20.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 75 | | matches | | 0 | "The air on the other" | | 1 | "It was clean, sharp, and" | | 2 | "She stepped forward, her boots" | | 3 | "It gave softly under her" | | 4 | "The ordinary sounds of Richmond" | | 5 | "Rory’s hand went to the" | | 6 | "Here, in this impossible clearing," | | 7 | "A chill, deep and sterile," | | 8 | "It felt like a piece" | | 9 | "Isolde moved ahead of them," | | 10 | "She left no footprints on" | | 11 | "Her pale lavender eyes were" | | 12 | "she said, her voice like" | | 13 | "Nyx was less solid." | | 14 | "They weren’t walking so much" | | 15 | "Their voice, when it came," | | 16 | "Rory drew a slow breath," | | 17 | "She was a delivery driver" | | 18 | "Logic and routine were the" | | 19 | "This place was the antithesis" |
| | ratio | 0.88 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 75 | | matches | | 0 | "As if to prove the" | | 1 | "Now, it felt different." |
| | ratio | 0.027 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 6 | | matches | | 0 | "She stepped forward, her boots sinking slightly into a carpet of moss that was a deeper, more vibrant green than any she had ever seen." | | 1 | "Back in the mundane world, it had been a familiar, faint warmth against her skin, a low-grade thrum that promised proximity to power." | | 2 | "They weren’t walking so much as flowing, a humanoid silhouette of deeper shadow that rippled at the edges of the grove’s dappled light." | | 3 | "She was a delivery driver from Cardiff, a woman who’d fled a broken relationship for a cramped flat above a London bar." | | 4 | "The light itself was changing, deepening from a pearlescent grey to a soft, golden hue, as if the grove had its own personal dawn." | | 5 | "A faint, thrumming energy vibrated through the sheath, a low hum that resonated in her bones." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 3 | | matches | | 0 | "she whispered, the words barely disturbing the silence" | | 1 | "she said, her voice full of a melancholy beauty" | | 2 | "Nyx added, their form wavering at the edge of the pool" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "Nyx added (add)" |
| | dialogueSentences | 12 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0.4 | | effectiveRatio | 0.333 | |