| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1239 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 59.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1239 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "throbbed" | | 1 | "weight" | | 2 | "pulsed" | | 3 | "silence" | | 4 | "perfect" | | 5 | "throb" |
| |
| 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 | 0 | | narrationSentences | 155 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 155 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 161 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1242 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 1214 | | uniqueNames | 9 | | maxNameDensity | 0.74 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 5 | | Richmond | 1 | | Park | 1 | | Golden | 1 | | Empress | 1 | | Fae | 1 | | Grove | 1 | | London | 2 | | Rory | 9 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" | | 4 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.415 | | wordCount | 1242 | | matches | | 0 | "not forward, but sideways, into the gap between two trees" | | 1 | "not earth, not root, but a long hall" | | 2 | "not root, but a long hall" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 161 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 22.18 | | std | 18.74 | | cv | 0.845 | | sampleLengths | | 0 | 6 | | 1 | 40 | | 2 | 73 | | 3 | 23 | | 4 | 56 | | 5 | 7 | | 6 | 7 | | 7 | 58 | | 8 | 4 | | 9 | 8 | | 10 | 80 | | 11 | 21 | | 12 | 22 | | 13 | 8 | | 14 | 11 | | 15 | 17 | | 16 | 10 | | 17 | 12 | | 18 | 22 | | 19 | 33 | | 20 | 1 | | 21 | 25 | | 22 | 35 | | 23 | 50 | | 24 | 35 | | 25 | 13 | | 26 | 5 | | 27 | 14 | | 28 | 7 | | 29 | 14 | | 30 | 6 | | 31 | 40 | | 32 | 3 | | 33 | 19 | | 34 | 30 | | 35 | 41 | | 36 | 3 | | 37 | 2 | | 38 | 45 | | 39 | 10 | | 40 | 54 | | 41 | 33 | | 42 | 6 | | 43 | 17 | | 44 | 40 | | 45 | 8 | | 46 | 5 | | 47 | 34 | | 48 | 26 | | 49 | 10 |
| |
| 98.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 155 | | matches | | 0 | "been closed" | | 1 | "was gone" | | 2 | "was gone" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 185 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 161 | | ratio | 0.012 | | matches | | 0 | "The stone in her pocket — or the thing that pretended to be a stone — had arrived in a jiffy bag that morning." | | 1 | "Red on red, crimson against black, and for a half second the clearing was true again — oak and grass and night and the distant orange of London beyond, and her backpack right where she had left it, zipper open." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1217 | | adjectiveStacks | 1 | | stackExamples | | 0 | "single river-smooth chunk" |
| | adverbCount | 32 | | adverbRatio | 0.02629416598192276 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0016433853738701725 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 161 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 161 | | mean | 7.71 | | std | 6.73 | | cv | 0.872 | | sampleLengths | | 0 | 6 | | 1 | 10 | | 2 | 13 | | 3 | 7 | | 4 | 1 | | 5 | 9 | | 6 | 26 | | 7 | 17 | | 8 | 11 | | 9 | 5 | | 10 | 2 | | 11 | 2 | | 12 | 10 | | 13 | 2 | | 14 | 13 | | 15 | 2 | | 16 | 6 | | 17 | 24 | | 18 | 3 | | 19 | 21 | | 20 | 8 | | 21 | 7 | | 22 | 7 | | 23 | 5 | | 24 | 21 | | 25 | 8 | | 26 | 7 | | 27 | 5 | | 28 | 9 | | 29 | 3 | | 30 | 4 | | 31 | 4 | | 32 | 4 | | 33 | 8 | | 34 | 12 | | 35 | 8 | | 36 | 8 | | 37 | 3 | | 38 | 11 | | 39 | 2 | | 40 | 17 | | 41 | 11 | | 42 | 5 | | 43 | 3 | | 44 | 13 | | 45 | 1 | | 46 | 2 | | 47 | 19 | | 48 | 8 | | 49 | 2 |
| |
| 28.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 34 | | diversityRatio | 0.28125 | | totalSentences | 160 | | uniqueOpeners | 45 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 131 | | matches | | 0 | "Then a sound." | | 1 | "Then a rustle, direct behind" | | 2 | "Too long in the limb." | | 3 | "Too many joints." |
| | ratio | 0.031 | |
| 97.86% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 131 | | matches | | 0 | "She stood at the edge" | | 1 | "She pulled the strap of" | | 2 | "She had come here because" | | 3 | "Her left wrist ached around" | | 4 | "She had thought of the" | | 5 | "She had not been there" | | 6 | "It had weight." | | 7 | "Her voice fell flat." | | 8 | "It did not carry." | | 9 | "They were not." | | 10 | "They stood open, white and" | | 11 | "She set her backpack down." | | 12 | "She tugged it open with" | | 13 | "It pulsed once against her" | | 14 | "She placed the dark stone" | | 15 | "She wiped her hand on" | | 16 | "Her mouth dried." | | 17 | "She took a step back" | | 18 | "Her boots found no purchase" | | 19 | "It leaned inward." |
| | ratio | 0.305 | |
| 51.60% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 107 | | totalSentences | 131 | | matches | | 0 | "The Heartstone burned against her" | | 1 | "Rory tucked her chin to" | | 2 | "The pendant sat dull under" | | 3 | "The crimson at its centre" | | 4 | "A low heat spread from" | | 5 | "She stood at the edge" | | 6 | "The air smelled of wet" | | 7 | "She pulled the strap of" | | 8 | "She had come here because" | | 9 | "The stone in her pocket" | | 10 | "Her left wrist ached around" | | 11 | "She had thought of the" | | 12 | "She had not been there" | | 13 | "Rory stepped between two oaks." | | 14 | "The bark of each bore" | | 15 | "The air changed when she" | | 16 | "The wind from the park" | | 17 | "The smell of diesel vanished." | | 18 | "The quiet that replaced it" | | 19 | "It had weight." |
| | ratio | 0.817 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 131 | | matches | | 0 | "Plus three words: BRING IT" | | 1 | "As if the ground breathed" | | 2 | "To her left this time." |
| | ratio | 0.023 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |