| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 91.46% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1171 | | 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) | |
| 35.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1171 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "echo" | | 1 | "tracing" | | 2 | "stomach" | | 3 | "pulsed" | | 4 | "rhythmic" | | 5 | "pulse" | | 6 | "silence" | | 7 | "loomed" | | 8 | "measured" | | 9 | "echoed" | | 10 | "weight" | | 11 | "silk" | | 12 | "crystal" |
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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 | 98 | | 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 | 1170 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 88.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1129 | | uniqueNames | 15 | | maxNameDensity | 1.24 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Carter | 1 | | Golden | 1 | | Empress | 1 | | Silas | 1 | | London | 1 | | Heathrow | 1 | | North | 1 | | Circular | 1 | | November | 1 | | Heartstone | 3 | | Hel | 1 | | Cardiff | 1 | | Rory | 14 |
| | persons | | 0 | "Carter" | | 1 | "Empress" | | 2 | "Silas" | | 3 | "Heathrow" | | 4 | "Circular" | | 5 | "Heartstone" | | 6 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Golden" | | 3 | "London" | | 4 | "Cardiff" |
| | globalScore | 0.88 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like dozens of teeth knocking toge" |
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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 | 1170 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 98 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 22.5 | | std | 15.05 | | cv | 0.669 | | sampleLengths | | 0 | 28 | | 1 | 50 | | 2 | 39 | | 3 | 11 | | 4 | 46 | | 5 | 44 | | 6 | 11 | | 7 | 10 | | 8 | 22 | | 9 | 53 | | 10 | 21 | | 11 | 41 | | 12 | 11 | | 13 | 4 | | 14 | 16 | | 15 | 19 | | 16 | 6 | | 17 | 50 | | 18 | 10 | | 19 | 13 | | 20 | 36 | | 21 | 28 | | 22 | 10 | | 23 | 8 | | 24 | 7 | | 25 | 12 | | 26 | 40 | | 27 | 12 | | 28 | 48 | | 29 | 24 | | 30 | 10 | | 31 | 14 | | 32 | 10 | | 33 | 2 | | 34 | 33 | | 35 | 9 | | 36 | 42 | | 37 | 3 | | 38 | 41 | | 39 | 14 | | 40 | 37 | | 41 | 24 | | 42 | 11 | | 43 | 22 | | 44 | 4 | | 45 | 45 | | 46 | 24 | | 47 | 4 | | 48 | 6 | | 49 | 27 |
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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 | 172 | | matches | (empty) | |
| 84.55% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 98 | | ratio | 0.02 | | matches | | 0 | "The scent hung heavy—sweet, syrupy, and thick enough to coat the back of her throat." | | 1 | "Yet the silence was not empty; it felt occupied, crowded with an unseen density." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1134 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.02204585537918871 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007054673721340388 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 11.94 | | std | 6.68 | | cv | 0.56 | | sampleLengths | | 0 | 28 | | 1 | 27 | | 2 | 12 | | 3 | 11 | | 4 | 39 | | 5 | 11 | | 6 | 16 | | 7 | 13 | | 8 | 9 | | 9 | 8 | | 10 | 5 | | 11 | 24 | | 12 | 15 | | 13 | 11 | | 14 | 10 | | 15 | 13 | | 16 | 9 | | 17 | 11 | | 18 | 14 | | 19 | 16 | | 20 | 12 | | 21 | 7 | | 22 | 3 | | 23 | 1 | | 24 | 10 | | 25 | 12 | | 26 | 3 | | 27 | 13 | | 28 | 2 | | 29 | 2 | | 30 | 9 | | 31 | 11 | | 32 | 4 | | 33 | 2 | | 34 | 14 | | 35 | 7 | | 36 | 12 | | 37 | 6 | | 38 | 8 | | 39 | 14 | | 40 | 5 | | 41 | 23 | | 42 | 10 | | 43 | 13 | | 44 | 11 | | 45 | 7 | | 46 | 18 | | 47 | 10 | | 48 | 18 | | 49 | 10 |
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| 40.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3163265306122449 | | totalSentences | 98 | | uniqueOpeners | 31 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 87 | | matches | | 0 | "Only the standing stones loomed" | | 1 | "Instead, she cast her gaze" | | 2 | "Then, without bending any visible" |
| | ratio | 0.034 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 87 | | matches | | 0 | "Her work jacket from the" | | 1 | "She yanked it free, the" | | 2 | "Her voice fell flat, absorbed" | | 3 | "It pulsed once." | | 4 | "She looked down." | | 5 | "It was the sharp, wet" | | 6 | "She unzipped the nylon pouch" | | 7 | "She set it on the" | | 8 | "She did not look up." | | 9 | "It was tall, impossibly narrow," | | 10 | "It had an elongated, wedge-like" | | 11 | "She lunged toward the gap" | | 12 | "She ran five strides, ten" | | 13 | "They did not sway with" | | 14 | "It sounded like dozens of" | | 15 | "Her breath billowed out in" | | 16 | "It was a long, ragged" | | 17 | "She kept her spine straight," |
| | ratio | 0.207 | |
| 40.46% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 87 | | matches | | 0 | "The iron gates of Richmond" | | 1 | "Rory Carter crouched in the" | | 2 | "Her work jacket from the" | | 3 | "She yanked it free, the" | | 4 | "The customer had paid three" | | 5 | "Rory stepped between the four" | | 6 | "The sudden drop in ambient" | | 7 | "The distant drone of Heathrow’s" | | 8 | "The hum of the North" | | 9 | "Wildflowers crowded the black earth." | | 10 | "Bluebells, marsh marigolds, and white" | | 11 | "The scent hung heavy—sweet, syrupy," | | 12 | "Rory adjusted the strap of" | | 13 | "Her voice fell flat, absorbed" | | 14 | "The air pressed against her" | | 15 | "A dull heat seeped through" | | 16 | "Rory touched her left wrist," | | 17 | "The habit kept her grounded" | | 18 | "The heat in the Heartstone" | | 19 | "It pulsed once." |
| | ratio | 0.839 | |
| 57.47% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 87 | | matches | | | ratio | 0.011 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 6 | | matches | | 0 | "But three feet above the ground, the mist parted in two narrow, horizontal streaks, drifting around an invisible silhouette that displaced the fog." | | 1 | "It was tall, impossibly narrow, with shoulders that sloped down into arms ending past its knees." | | 2 | "It had an elongated, wedge-like extension that swayed from side to side in a slow, hypnotic arc." | | 3 | "The flowers crushed under her heels, releasing a pungent, rotting-sugar stench." | | 4 | "The massive oak monoliths stayed precisely ten yards ahead, fixed in perspective as if painted on a flat backdrop." | | 5 | "Her breath billowed out in thick, white plumes that hung rigid in the still air, refusing to disperse." |
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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 | |