| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 88.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1295 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "sharply" | | 1 | "perfectly" | | 2 | "completely" |
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| 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) | |
| 38.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1295 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "shared breath" | | count | 1 |
| | 10 | | | 11 | | | 12 | | | 13 | |
| | highlights | | 0 | "trembled" | | 1 | "traced" | | 2 | "pulse" | | 3 | "tapestry" | | 4 | "measured" | | 5 | "silence" | | 6 | "rhythmic" | | 7 | "quickened" | | 8 | "footsteps" | | 9 | "shared breath" | | 10 | "mechanical" | | 11 | "echoed" | | 12 | "perfect" | | 13 | "warmth" |
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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 | 145 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 145 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 145 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1295 | | 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 | 18 | | wordCount | 1295 | | uniqueNames | 14 | | maxNameDensity | 0.23 | | worstName | "London" | | maxWindowNameDensity | 1 | | worstWindowName | "Richmond" | | discoveredNames | | Carter | 1 | | Richmond | 2 | | Park | 1 | | November | 2 | | Heartstone | 1 | | Silas | 1 | | Ordnance | 1 | | Survey | 1 | | London | 3 | | Evan | 1 | | Hel | 1 | | Cardiff | 1 | | English | 1 | | Stay | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "November" | | 3 | "London" | | 4 | "Hel" | | 5 | "Cardiff" | | 6 | "English" |
| | globalScore | 1 | | windowScore | 1 | |
| 91.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 2 | | matches | | 0 | "as if drawing in a shared breath" | | 1 | "as if expecting someone else" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.317 | | wordCount | 1295 | | matches | | 0 | "Not in the wind, which had not stirred since she entered, but in unison, as if drawing in a shared breath" | | 1 | "not stirred since she entered, but in unison, as if drawing in a shared breath" | | 2 | "not to fight, but to mark time" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 145 | | matches | | 0 | "clearing that the" | | 1 | "learned that much" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 18 | | mean | 71.94 | | std | 36.37 | | cv | 0.506 | | sampleLengths | | 0 | 162 | | 1 | 98 | | 2 | 103 | | 3 | 24 | | 4 | 97 | | 5 | 93 | | 6 | 88 | | 7 | 62 | | 8 | 99 | | 9 | 109 | | 10 | 65 | | 11 | 53 | | 12 | 67 | | 13 | 37 | | 14 | 60 | | 15 | 31 | | 16 | 29 | | 17 | 18 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 145 | | matches | | 0 | "been written" | | 1 | "was crushed" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 223 | | matches | | 0 | "was reacting" | | 1 | "was not just pointing" | | 2 | "was pulling" | | 3 | "was slipping" | | 4 | "was not looking" | | 5 | "was looking" | | 6 | "was still moving" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 145 | | ratio | 0.014 | | matches | | 0 | "It was not merely colder; it was thicker, tasting of petrichor and copper, like rain falling on hot iron." | | 1 | "The joints did not creak; they sighed." |
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| 91.92% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1298 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 55 | | adverbRatio | 0.0423728813559322 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.010015408320493066 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 145 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 145 | | mean | 8.93 | | std | 6.52 | | cv | 0.73 | | sampleLengths | | 0 | 27 | | 1 | 20 | | 2 | 29 | | 3 | 10 | | 4 | 7 | | 5 | 12 | | 6 | 14 | | 7 | 27 | | 8 | 16 | | 9 | 9 | | 10 | 24 | | 11 | 7 | | 12 | 17 | | 13 | 7 | | 14 | 4 | | 15 | 19 | | 16 | 11 | | 17 | 13 | | 18 | 9 | | 19 | 11 | | 20 | 2 | | 21 | 3 | | 22 | 14 | | 23 | 10 | | 24 | 1 | | 25 | 22 | | 26 | 18 | | 27 | 10 | | 28 | 5 | | 29 | 9 | | 30 | 3 | | 31 | 14 | | 32 | 9 | | 33 | 13 | | 34 | 3 | | 35 | 4 | | 36 | 12 | | 37 | 4 | | 38 | 26 | | 39 | 9 | | 40 | 5 | | 41 | 4 | | 42 | 6 | | 43 | 10 | | 44 | 20 | | 45 | 20 | | 46 | 7 | | 47 | 1 | | 48 | 1 | | 49 | 19 |
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| 36.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.30344827586206896 | | totalSentences | 145 | | uniqueOpeners | 44 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 132 | | matches | | 0 | "All heavy with dew that" | | 1 | "Just relentless, vibrant growth spilling" | | 2 | "Then its head rotated." | | 3 | "Then to her left." | | 4 | "Then directly behind her." | | 5 | "Only the space between them" | | 6 | "Then reversed completely, sweeping backward" |
| | ratio | 0.053 | |
| 77.58% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 132 | | matches | | 0 | "She checked the phone resting" | | 1 | "She pulled the silver chain" | | 2 | "It had been cold since" | | 3 | "She had come here because" | | 4 | "She had come for answers," | | 5 | "Her boots sank into peat" | | 6 | "She stepped past the first" | | 7 | "It was not merely colder;" | | 8 | "She tightened her grip on" | | 9 | "She noted the humidity, the" | | 10 | "She noted the way her" | | 11 | "She stepped deeper." | | 12 | "She did not blink." | | 13 | "She had learned that much" | | 14 | "You did not blink when" | | 15 | "It came from somewhere to" | | 16 | "Her left wrist twinged, the" | | 17 | "She rubbed it absently, a" | | 18 | "It was reacting to a" | | 19 | "She had thought they were" |
| | ratio | 0.356 | |
| 81.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 100 | | totalSentences | 132 | | matches | | 0 | "The boundary stones stood exactly" | | 1 | "Aurora Carter paused at the" | | 2 | "London lay behind her in" | | 3 | "She checked the phone resting" | | 4 | "She pulled the silver chain" | | 5 | "The Heartstone pendant rested flat" | | 6 | "It had been cold since" | | 7 | "She had come here because" | | 8 | "She had come for answers," | | 9 | "Her boots sank into peat" | | 10 | "She stepped past the first" | | 11 | "The air shifted instantly." | | 12 | "It was not merely colder;" | | 13 | "She tightened her grip on" | | 14 | "The beam cut through the" | | 15 | "Wildflowers bloomed in the footlights:" | | 16 | "Rory exhaled, a measured sound," | | 17 | "She noted the humidity, the" | | 18 | "She noted the way her" | | 19 | "The woods in autumn did" |
| | ratio | 0.758 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 132 | | matches | | 0 | "Now it thrummed against her" | | 1 | "Because the last clue had" | | 2 | "To prove she was still" |
| | ratio | 0.023 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 3 | | matches | | 0 | "London lay behind her in a bruised smear of amber streetlights and indifferent traffic, but beyond the ancient oaks that marked the grove, the dark was absolute…" | | 1 | "Now it thrummed against her ribs, a slow, deliberate pulse that matched nothing in her body." | | 2 | "The sound echoed too many times, rebounding off trunks that stood too wide apart to justify the acoustic return." |
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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 | |