| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 162 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.39% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2357 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "quickly" | | 1 | "softly" | | 2 | "slowly" | | 3 | "very" |
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| 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) | |
| 83.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2357 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "could feel" | | 1 | "flicker" | | 2 | "silence" | | 3 | "stomach" | | 4 | "footsteps" | | 5 | "weight" | | 6 | "trembled" |
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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 | 159 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 159 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "happened to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 294 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2357 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 36 | | unquotedAttributions | 1 | | matches | | 0 | "For a while, they spoke about things that could bear the weight: the old school, the teacher who smelled of oranges, the…" |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1635 | | uniqueNames | 11 | | maxNameDensity | 0.8 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Tom" | | discoveredNames | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Aurora | 1 | | Carter | 1 | | Rory | 13 | | Cardiff | 2 | | Silas | 5 | | Tom | 12 | | London | 2 | | Evan | 1 |
| | persons | | 0 | "Raven" | | 1 | "Aurora" | | 2 | "Carter" | | 3 | "Rory" | | 4 | "Silas" | | 5 | "Tom" | | 6 | "Evan" |
| | places | | 0 | "Soho" | | 1 | "Cardiff" | | 2 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 109 | | glossingSentenceCount | 1 | | matches | | |
| 72.72% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.273 | | wordCount | 2357 | | matches | | 0 | "not watching exactly, but listening with the practiced indifference of a man who had b" | | 1 | "Not the man he had been, not the stranger he had become, but the thin, difficult line between them" | | 2 | "not the stranger he had become, but the thin, difficult line between them" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 294 | | matches | | 0 | "say that he" | | 1 | "promised that they" | | 2 | "understand that departure" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 183 | | mean | 12.88 | | std | 17.05 | | cv | 1.324 | | sampleLengths | | 0 | 39 | | 1 | 67 | | 2 | 54 | | 3 | 81 | | 4 | 3 | | 5 | 8 | | 6 | 54 | | 7 | 3 | | 8 | 12 | | 9 | 19 | | 10 | 3 | | 11 | 57 | | 12 | 17 | | 13 | 6 | | 14 | 4 | | 15 | 59 | | 16 | 6 | | 17 | 1 | | 18 | 8 | | 19 | 6 | | 20 | 29 | | 21 | 9 | | 22 | 2 | | 23 | 4 | | 24 | 5 | | 25 | 80 | | 26 | 7 | | 27 | 9 | | 28 | 1 | | 29 | 6 | | 30 | 6 | | 31 | 14 | | 32 | 48 | | 33 | 6 | | 34 | 5 | | 35 | 4 | | 36 | 2 | | 37 | 6 | | 38 | 6 | | 39 | 5 | | 40 | 3 | | 41 | 4 | | 42 | 8 | | 43 | 45 | | 44 | 6 | | 45 | 1 | | 46 | 3 | | 47 | 12 | | 48 | 2 | | 49 | 1 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 159 | | matches | | 0 | "were thickened" | | 1 | "being overheard" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 299 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 294 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1637 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 64 | | adverbRatio | 0.03909590714722053 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.00855222968845449 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 294 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 294 | | mean | 8.02 | | std | 6.73 | | cv | 0.839 | | sampleLengths | | 0 | 9 | | 1 | 30 | | 2 | 6 | | 3 | 25 | | 4 | 23 | | 5 | 13 | | 6 | 5 | | 7 | 26 | | 8 | 18 | | 9 | 5 | | 10 | 29 | | 11 | 7 | | 12 | 8 | | 13 | 14 | | 14 | 23 | | 15 | 3 | | 16 | 8 | | 17 | 16 | | 18 | 38 | | 19 | 3 | | 20 | 4 | | 21 | 8 | | 22 | 11 | | 23 | 8 | | 24 | 3 | | 25 | 12 | | 26 | 30 | | 27 | 4 | | 28 | 11 | | 29 | 8 | | 30 | 9 | | 31 | 6 | | 32 | 4 | | 33 | 5 | | 34 | 13 | | 35 | 9 | | 36 | 9 | | 37 | 23 | | 38 | 6 | | 39 | 1 | | 40 | 8 | | 41 | 6 | | 42 | 10 | | 43 | 6 | | 44 | 6 | | 45 | 7 | | 46 | 9 | | 47 | 2 | | 48 | 4 | | 49 | 5 |
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| 40.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 28 | | diversityRatio | 0.22789115646258504 | | totalSentences | 294 | | uniqueOpeners | 67 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 140 | | matches | | 0 | "Then he turned his head." | | 1 | "Then the years settled into" | | 2 | "Once, she would have filled" | | 3 | "Then the laughter faded, leaving" | | 4 | "Instead she said," |
| | ratio | 0.036 | |
| 40.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 63 | | totalSentences | 140 | | matches | | 0 | "It slicked the pavement beneath" | | 1 | "She had meant to stay" | | 2 | "His hair had gone silver" | | 3 | "He was thinner than she" | | 4 | "She stopped with one hand" | | 5 | "His smile arrived late." | | 6 | "She heard the answer come" | | 7 | "They watched each other across" | | 8 | "He polished a glass." | | 9 | "She came over and sat." | | 10 | "She gave him a small" | | 11 | "He didn’t ask who Tom" | | 12 | "He took the hint, though" | | 13 | "She remembered their last night" | | 14 | "She had sat on the" | | 15 | "He looked down at his" | | 16 | "He laughed, and for an" | | 17 | "She let the word sit" | | 18 | "He looked away, toward the" | | 19 | "He took the blow without" |
| | ratio | 0.45 | |
| 52.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 114 | | totalSentences | 140 | | matches | | 0 | "The rain had polished Soho" | | 1 | "It slicked the pavement beneath" | | 2 | "She had meant to stay" | | 3 | "The bar was almost empty." | | 4 | "A man in a dark" | | 5 | "His hair had gone silver" | | 6 | "A pale, neat scar ran" | | 7 | "He was thinner than she" | | 8 | "She stopped with one hand" | | 9 | "The name came from another" | | 10 | "His smile arrived late." | | 11 | "She heard the answer come" | | 12 | "They watched each other across" | | 13 | "Rory could feel Silas at" | | 14 | "He polished a glass." | | 15 | "The light caught the silver" | | 16 | "Tom glanced toward the empty" | | 17 | "She came over and sat." | | 18 | "The wood of the stool" | | 19 | "The scar, the grey, the" |
| | ratio | 0.814 | |
| 35.71% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 140 | | matches | | 0 | "Now, under the bar’s low" |
| | ratio | 0.007 | |
| 86.17% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 63 | | technicalSentenceCount | 5 | | matches | | 0 | "He was thinner than she remembered, and the coat hung from his shoulders as if he had borrowed it from a larger man." | | 1 | "Rory could feel Silas at the back of the bar, not watching exactly, but listening with the practiced indifference of a man who had built a life around noticing …" | | 2 | "Yet the old habit remained: he turned his glass slowly with his thumb, as though he could keep something moving by touching it." | | 3 | "She wondered what had happened to the bright, reckless man who had once been so certain that leaving was the same thing as becoming." | | 4 | "For a while, they spoke about things that could bear the weight: the old school, the teacher who smelled of oranges, the flat above the shop where the pipes ban…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 162 | | tagDensity | 0.105 | | leniency | 0.21 | | rawRatio | 0 | | effectiveRatio | 0 | |