| 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 | 1384 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 78.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1384 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "warmth" | | 1 | "weight" | | 2 | "silence" | | 3 | "trembled" | | 4 | "flickered" |
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| 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 | 92 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 92 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 152 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 72 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1378 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 842 | | uniqueNames | 17 | | maxNameDensity | 0.83 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Soho | 1 | | Raven | 1 | | Nest | 1 | | European | 1 | | Golden | 1 | | Empress | 1 | | Si | 1 | | Home | 1 | | Office | 1 | | Prague | 2 | | Cardiff | 2 | | January | 1 | | London | 1 | | Greek | 1 | | Street | 1 | | Rory | 7 | | Silas | 7 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Silas" |
| | places | | 0 | "Soho" | | 1 | "Home" | | 2 | "Prague" | | 3 | "Cardiff" | | 4 | "London" | | 5 | "Greek" | | 6 | "Street" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | 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 | 1378 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 152 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 100 | | mean | 13.78 | | std | 16.18 | | cv | 1.174 | | sampleLengths | | 0 | 85 | | 1 | 47 | | 2 | 58 | | 3 | 3 | | 4 | 12 | | 5 | 2 | | 6 | 21 | | 7 | 7 | | 8 | 4 | | 9 | 2 | | 10 | 10 | | 11 | 33 | | 12 | 48 | | 13 | 2 | | 14 | 12 | | 15 | 2 | | 16 | 1 | | 17 | 7 | | 18 | 7 | | 19 | 10 | | 20 | 4 | | 21 | 2 | | 22 | 4 | | 23 | 10 | | 24 | 19 | | 25 | 15 | | 26 | 22 | | 27 | 5 | | 28 | 3 | | 29 | 11 | | 30 | 29 | | 31 | 6 | | 32 | 4 | | 33 | 8 | | 34 | 10 | | 35 | 28 | | 36 | 36 | | 37 | 4 | | 38 | 2 | | 39 | 6 | | 40 | 11 | | 41 | 28 | | 42 | 4 | | 43 | 6 | | 44 | 13 | | 45 | 20 | | 46 | 14 | | 47 | 4 | | 48 | 7 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 138 | | matches | (empty) | |
| 30.08% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 152 | | ratio | 0.039 | | matches | | 0 | "Cardiff rushed back in an instant—the grey sky, the roar of a rugby crowd, a tall man in a tweed jacket buying her chips from a paper cone." | | 1 | "His right hand turned the cap; the signet ring caught the lamplight." | | 2 | "Rory stared at the photograph nearest her—a bridge in Prague, snow thick on the balustrade, a figure half-erased by the camera flash." | | 3 | "She looked at him—this man who had once let her steal maraschino cherries from his cocktails, who had carried her on his shoulders above the stadium seats where the air turned thin." | | 4 | "She looked at the scar on her wrist, then at his knee, then at the maps—all those streets in unfamiliar cities, all the routes that had led them here, to this stale room above which she now slept alone." | | 5 | "The signet ring tapped once against the bar—a signal, an admission, a full stop." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 857 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.011668611435239206 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 152 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 152 | | mean | 9.07 | | std | 9.07 | | cv | 1.001 | | sampleLengths | | 0 | 11 | | 1 | 14 | | 2 | 19 | | 3 | 17 | | 4 | 5 | | 5 | 19 | | 6 | 6 | | 7 | 9 | | 8 | 4 | | 9 | 17 | | 10 | 5 | | 11 | 6 | | 12 | 17 | | 13 | 7 | | 14 | 9 | | 15 | 16 | | 16 | 9 | | 17 | 3 | | 18 | 2 | | 19 | 10 | | 20 | 2 | | 21 | 6 | | 22 | 7 | | 23 | 8 | | 24 | 7 | | 25 | 4 | | 26 | 2 | | 27 | 5 | | 28 | 5 | | 29 | 33 | | 30 | 28 | | 31 | 5 | | 32 | 7 | | 33 | 8 | | 34 | 2 | | 35 | 12 | | 36 | 2 | | 37 | 1 | | 38 | 7 | | 39 | 7 | | 40 | 5 | | 41 | 5 | | 42 | 4 | | 43 | 2 | | 44 | 4 | | 45 | 10 | | 46 | 7 | | 47 | 12 | | 48 | 15 | | 49 | 22 |
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| 43.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.2894736842105263 | | totalSentences | 152 | | uniqueOpeners | 44 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 47.27% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 88 | | matches | | 0 | "She pushed the heavy door." | | 1 | "It exhaled a cloud of" | | 2 | "She crossed to the bar." | | 3 | "Her trainers stuck to the" | | 4 | "He looked up." | | 5 | "She stopped three stools from" | | 6 | "He set the glass down." | | 7 | "It clinked against the mahogany." | | 8 | "She had called him Si." | | 9 | "Her father's friend from the" | | 10 | "He swept one hand across" | | 11 | "She slid onto a stool." | | 12 | "He reached for a bottle" | | 13 | "His right hand turned the" | | 14 | "He poured two fingers." | | 15 | "She didn't touch it." | | 16 | "She had repeated that story" | | 17 | "He limped to the far" | | 18 | "His left leg moved with" | | 19 | "He stopped beside her stool." |
| | ratio | 0.432 | |
| 33.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 88 | | matches | | 0 | "The green neon above the" | | 1 | "Rory ducked beneath the glow," | | 2 | "Tonight a burst pipe had" | | 3 | "She pushed the heavy door." | | 4 | "It exhaled a cloud of" | | 5 | "Men in fedoras held folded" | | 6 | "Harbours glittered with salt." | | 7 | "She crossed to the bar." | | 8 | "Her trainers stuck to the" | | 9 | "A man stood behind the" | | 10 | "A beard, trimmed tight, carried" | | 11 | "A silver signet ring glinted" | | 12 | "He looked up." | | 13 | "The kind that catalogued details" | | 14 | "Something cold moved through her" | | 15 | "She stopped three stools from" | | 16 | "He set the glass down." | | 17 | "It clinked against the mahogany." | | 18 | "Cardiff rushed back in an" | | 19 | "She had called him Si." |
| | ratio | 0.852 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 88 | | matches | | 0 | "Now his shoulders curved under" | | 1 | "Now her shoulders carried takeaway" |
| | ratio | 0.023 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 4 | | matches | | 0 | "For six weeks she had lived above The Raven's Nest, using the side alley entrance, avoiding the bar itself." | | 1 | "A man stood behind the counter, polishing a glass with a cloth that had seen better decades." | | 2 | "She looked at him—this man who had once let her steal maraschino cherries from his cocktails, who had carried her on his shoulders above the stadium seats where…" | | 3 | "She looked at the scar on her wrist, then at his knee, then at the maps—all those streets in unfamiliar cities, all the routes that had led them here, to this s…" |
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| 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 | |