| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 97.14% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1748 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 48.51% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1748 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "flickered" | | 1 | "rhythmic" | | 2 | "pulse" | | 3 | "traced" | | 4 | "reminder" | | 5 | "navigating" | | 6 | "weight" | | 7 | "chill" | | 8 | "warmth" | | 9 | "predator" | | 10 | "silence" | | 11 | "whisper" | | 12 | "measured" |
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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 | 79 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 79 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1742 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 65 | | wordCount | 1238 | | uniqueNames | 14 | | maxNameDensity | 1.45 | | worstName | "Silas" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 2 | | Golden | 2 | | Empress | 2 | | Soho | 3 | | Rory | 14 | | London | 2 | | Cardiff | 2 | | Narrowing | 1 | | Silas | 18 | | Prague | 1 | | Niall | 15 | | Blackwood | 1 | | Evan | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Empress" | | 3 | "Rory" | | 4 | "Silas" | | 5 | "Niall" | | 6 | "Blackwood" | | 7 | "Evan" |
| | places | | 0 | "Golden" | | 1 | "Soho" | | 2 | "London" | | 3 | "Cardiff" | | 4 | "Prague" |
| | globalScore | 0.773 | | windowScore | 0.5 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like a piece of gravel in her mout" | | 1 | "felt like a ghost sitting on her chest" | | 2 | "looked like she belonged to the maps and" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1742 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 113 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 71 | | mean | 24.54 | | std | 20.4 | | cv | 0.831 | | sampleLengths | | 0 | 87 | | 1 | 67 | | 2 | 67 | | 3 | 19 | | 4 | 8 | | 5 | 49 | | 6 | 1 | | 7 | 11 | | 8 | 11 | | 9 | 2 | | 10 | 68 | | 11 | 11 | | 12 | 5 | | 13 | 15 | | 14 | 30 | | 15 | 18 | | 16 | 6 | | 17 | 23 | | 18 | 55 | | 19 | 12 | | 20 | 35 | | 21 | 30 | | 22 | 18 | | 23 | 33 | | 24 | 6 | | 25 | 8 | | 26 | 21 | | 27 | 19 | | 28 | 13 | | 29 | 44 | | 30 | 16 | | 31 | 27 | | 32 | 30 | | 33 | 27 | | 34 | 24 | | 35 | 15 | | 36 | 21 | | 37 | 23 | | 38 | 27 | | 39 | 6 | | 40 | 14 | | 41 | 54 | | 42 | 8 | | 43 | 12 | | 44 | 12 | | 45 | 7 | | 46 | 7 | | 47 | 14 | | 48 | 31 | | 49 | 21 |
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| 96.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 79 | | matches | | 0 | "was supposed" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 189 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 113 | | ratio | 0.053 | | matches | | 0 | "He didn't recognize the face, but he recognized the way the man searched the room—deliberate, out of place, like a collector in a junkyard." | | 1 | "He looked at her jacket, the utilitarian fabric, and then at the way she held herself—shoulders squared, eyes alert, the cool-headed pragmatism of a woman who had learned to live in the shadows of a city that didn't know her name." | | 2 | "The geography of her current life was simpler—street names, delivery times, the quiet safety of the flat above this very floor." | | 3 | "He leaned in, the scent of his cologne—something woody and sharp—cutting through the grease of the Golden Empress." | | 4 | "Niall looked at Silas, finally registering the man's presence—the neat beard, the stillness of a predator at rest." | | 5 | "The distance between them wasn't just the three years since she’d fled; it was the entire geography of intent." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1253 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.02314445331205108 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.007182761372705506 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 15.42 | | std | 8.77 | | cv | 0.569 | | sampleLengths | | 0 | 19 | | 1 | 14 | | 2 | 29 | | 3 | 25 | | 4 | 21 | | 5 | 28 | | 6 | 18 | | 7 | 5 | | 8 | 21 | | 9 | 14 | | 10 | 3 | | 11 | 24 | | 12 | 9 | | 13 | 10 | | 14 | 8 | | 15 | 10 | | 16 | 18 | | 17 | 21 | | 18 | 1 | | 19 | 11 | | 20 | 11 | | 21 | 2 | | 22 | 7 | | 23 | 20 | | 24 | 41 | | 25 | 11 | | 26 | 5 | | 27 | 15 | | 28 | 30 | | 29 | 6 | | 30 | 12 | | 31 | 6 | | 32 | 23 | | 33 | 15 | | 34 | 21 | | 35 | 19 | | 36 | 12 | | 37 | 35 | | 38 | 18 | | 39 | 12 | | 40 | 18 | | 41 | 10 | | 42 | 11 | | 43 | 12 | | 44 | 6 | | 45 | 8 | | 46 | 21 | | 47 | 19 | | 48 | 13 | | 49 | 44 |
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| 40.27% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.25663716814159293 | | totalSentences | 113 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 79.74% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 77 | | matches | | 0 | "He buffed a heavy tumbler" | | 1 | "She ran a thumb over" | | 2 | "He paused, his eyes adjusting" | | 3 | "He didn't recognize the face," | | 4 | "Her heart did a slow," | | 5 | "He wore a charcoal overcoat" | | 6 | "His hair was shorter than" | | 7 | "He pulled out the stool" | | 8 | "He looked at her jacket," | | 9 | "She reached for her drink," | | 10 | "He rotated the glass, the" | | 11 | "He leaned in, the scent" | | 12 | "He looked at her wrist," | | 13 | "He didn't turn around, but" | | 14 | "He set the glass down" | | 15 | "He looked back at Rory," | | 16 | "She looked like a regular." | | 17 | "She looked like she belonged" | | 18 | "He looked at the maps" | | 19 | "He reached for his glass," |
| | ratio | 0.351 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 77 | | matches | | 0 | "The green neon of The" | | 1 | "Silas moved behind the mahogany" | | 2 | "He buffed a heavy tumbler" | | 3 | "Aurora sat on the end" | | 4 | "The smell of ginger and" | | 5 | "She ran a thumb over" | | 6 | "The heavy oak door groaned." | | 7 | "A man stepped in, shaking" | | 8 | "He paused, his eyes adjusting" | | 9 | "Silas stopped polishing." | | 10 | "He didn't recognize the face," | | 11 | "Rory looked up as the" | | 12 | "Her heart did a slow," | | 13 | "Niall looked exactly like the" | | 14 | "He wore a charcoal overcoat" | | 15 | "His hair was shorter than" | | 16 | "The name felt like a" | | 17 | "Silas slid a coaster toward" | | 18 | "Niall didn't look at the" | | 19 | "He pulled out the stool" |
| | ratio | 0.961 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 75.89% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 64 | | technicalSentenceCount | 6 | | matches | | 0 | "He wore a charcoal overcoat that cost more than Rory earned in three months of navigating London traffic." | | 1 | "His hair was shorter than it had been in Cardiff, groomed with a precision that hinted at courtrooms and high-stakes lunches." | | 2 | "He looked at her jacket, the utilitarian fabric, and then at the way she held herself—shoulders squared, eyes alert, the cool-headed pragmatism of a woman who h…" | | 3 | "There was no warmth in the look, only the hard-won clarity of someone who had survived a collapse." | | 4 | "Niall’s voice dropped, the arrogance bleeding out into something that sounded dangerously like envy." | | 5 | "Niall stood, buttoning his coat, pulling the collar tight against his neck." |
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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 | |