| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1114 | | totalAiIsmAdverbs | 1 | | 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) | |
| 59.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1114 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "pulse" | | 1 | "scanning" | | 2 | "electric" | | 3 | "standard" | | 4 | "footsteps" | | 5 | "shimmered" | | 6 | "charm" | | 7 | "flicker" | | 8 | "charged" |
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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 | 152 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 152 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 162 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 4 | | totalWords | 1090 | | ratio | 0.004 | | matches | | 0 | "Rules." | | 1 | "They move sideways." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 987 | | uniqueNames | 20 | | maxNameDensity | 0.71 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Herrera" | | discoveredNames | | Quinn | 7 | | Charing | 1 | | Cross | 1 | | Road | 1 | | Lambeth | 1 | | Shaftesbury | 1 | | Avenue | 1 | | Underground | 1 | | Camden | 1 | | Town | 1 | | Eighties | 1 | | Glock | 1 | | Three | 1 | | Morris | 2 | | Islington | 1 | | Victorian | 1 | | London | 1 | | Herrera | 6 | | St | 1 | | Latin | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Herrera" |
| | places | | 0 | "Charing" | | 1 | "Cross" | | 2 | "Road" | | 3 | "Lambeth" | | 4 | "Shaftesbury" | | 5 | "Avenue" | | 6 | "Underground" | | 7 | "Camden" | | 8 | "Town" | | 9 | "Islington" | | 10 | "London" | | 11 | "St" |
| | globalScore | 1 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.917 | | wordCount | 1090 | | matches | | 0 | "not in surrender, but warning" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 162 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 64 | | mean | 17.03 | | std | 16.39 | | cv | 0.962 | | sampleLengths | | 0 | 11 | | 1 | 69 | | 2 | 23 | | 3 | 51 | | 4 | 11 | | 5 | 4 | | 6 | 41 | | 7 | 1 | | 8 | 6 | | 9 | 20 | | 10 | 44 | | 11 | 25 | | 12 | 43 | | 13 | 5 | | 14 | 19 | | 15 | 55 | | 16 | 4 | | 17 | 7 | | 18 | 4 | | 19 | 2 | | 20 | 47 | | 21 | 6 | | 22 | 39 | | 23 | 65 | | 24 | 35 | | 25 | 14 | | 26 | 16 | | 27 | 4 | | 28 | 10 | | 29 | 9 | | 30 | 7 | | 31 | 3 | | 32 | 33 | | 33 | 5 | | 34 | 25 | | 35 | 2 | | 36 | 31 | | 37 | 5 | | 38 | 8 | | 39 | 3 | | 40 | 20 | | 41 | 3 | | 42 | 20 | | 43 | 9 | | 44 | 21 | | 45 | 15 | | 46 | 2 | | 47 | 5 | | 48 | 7 | | 49 | 21 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 152 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 173 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 22 | | semicolonCount | 0 | | flaggedSentences | 16 | | totalSentences | 162 | | ratio | 0.099 | | matches | | 0 | "The suspect—hood up, coat flapping—cut left down Charing Cross Road, weaving between cabs and buses with the desperation of a man who knows what happens if he slows." | | 1 | "The world tilted for half a second—breath caught, balance slipping—but she caught herself against the grimy brick wall and pushed off again." | | 2 | "Then—a shadow slipping into the Underground." | | 3 | "The air smelled of damp concrete, stale urine, and something else—ozone?" | | 4 | "Same pattern—footsteps vanishing into a wall that wasn’t there." | | 5 | "Graffiti ended halfway—spray paint refused to stick below that line, as if someone didn’t want markers." | | 6 | "The walls changed—no more cracked tiles." | | 7 | "Then the wall on her right shimmered—like heat haze over tarmac—and she stepped through." | | 8 | "One stall displayed pocket watches still ticking—though no hands." | | 9 | "He laughed—a dry, crackling sound—and stepped aside." | | 10 | "And then—" | | 11 | "Bart’s after a patient—declared dead—woke up speaking Latin and bleeding mercury." | | 12 | "Just raised a hand—not in surrender, but warning." | | 13 | "A bell tolled—deep, resonant, like a ship’s warning." | | 14 | "“Because someone needs to.” He pressed something into her palm—cold, smooth." | | 15 | "From below, a voice—too many voices—chanted in unison." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1012 | | adjectiveStacks | 1 | | stackExamples | | 0 | "no more cracked tiles." |
| | adverbCount | 31 | | adverbRatio | 0.030632411067193676 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.001976284584980237 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 162 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 162 | | mean | 6.73 | | std | 4.92 | | cv | 0.731 | | sampleLengths | | 0 | 11 | | 1 | 7 | | 2 | 28 | | 3 | 13 | | 4 | 21 | | 5 | 1 | | 6 | 22 | | 7 | 8 | | 8 | 22 | | 9 | 9 | | 10 | 12 | | 11 | 6 | | 12 | 5 | | 13 | 4 | | 14 | 11 | | 15 | 8 | | 16 | 15 | | 17 | 7 | | 18 | 1 | | 19 | 6 | | 20 | 4 | | 21 | 5 | | 22 | 5 | | 23 | 6 | | 24 | 7 | | 25 | 11 | | 26 | 11 | | 27 | 7 | | 28 | 1 | | 29 | 7 | | 30 | 7 | | 31 | 2 | | 32 | 13 | | 33 | 2 | | 34 | 1 | | 35 | 14 | | 36 | 2 | | 37 | 9 | | 38 | 8 | | 39 | 10 | | 40 | 5 | | 41 | 10 | | 42 | 6 | | 43 | 3 | | 44 | 6 | | 45 | 16 | | 46 | 4 | | 47 | 18 | | 48 | 7 | | 49 | 4 |
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| 67.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.4444444444444444 | | totalSentences | 162 | | uniqueOpeners | 72 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 120 | | matches | | 0 | "Then—a shadow slipping into the" | | 1 | "Then she saw it." | | 2 | "Then the wall on her" | | 3 | "Instead, stalls lined winding alleys" | | 4 | "Just raised a hand—not in" | | 5 | "Then he pointed to the" | | 6 | "Then at the crack in" | | 7 | "Then dropped down into the" |
| | ratio | 0.067 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 120 | | matches | | 0 | "She vaulted over a low" | | 1 | "Her leather watch slapped against" | | 2 | "He wasn’t running like a" | | 3 | "He was running like prey." | | 4 | "She emerged breathless onto Shaftesbury" | | 5 | "She slowed to a walk," | | 6 | "Her hand dropped to the" | | 7 | "She’d found his radio cracked" | | 8 | "His notebook open to a" | | 9 | "They never found his body." | | 10 | "Her heel crunched on broken" | | 11 | "She didn’t flinch." | | 12 | "She unclipped her torch." | | 13 | "It hung by one screw," | | 14 | "She counted her steps." | | 15 | "She stood at the edge" | | 16 | "He tilted his head." | | 17 | "She looked him in the" | | 18 | "He laughed—a dry, crackling sound—and" | | 19 | "She moved deeper." |
| | ratio | 0.25 | |
| 80.83% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 91 | | totalSentences | 120 | | matches | | 0 | "The alley door burst open," | | 1 | "Rain lashed her face like" | | 2 | "The suspect—hood up, coat flapping—cut" | | 3 | "Quinn’s boots hit the wet" | | 4 | "The old injury from the" | | 5 | "A flash of red trainers" | | 6 | "She vaulted over a low" | | 7 | "The world tilted for half" | | 8 | "Water dripped from her salt-and-pepper" | | 9 | "Her leather watch slapped against" | | 10 | "He wasn’t running like a" | | 11 | "He was running like prey." | | 12 | "The passage opened onto a" | | 13 | "A delivery van reversed too" | | 14 | "Quinn ducked low and sprinted" | | 15 | "She emerged breathless onto Shaftesbury" | | 16 | "The disused Camden Town station." | | 17 | "She slowed to a walk," | | 18 | "Rain drummed on abandoned ticket" | | 19 | "The air smelled of damp" |
| | ratio | 0.758 | |
| 41.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 120 | | matches | | 0 | "Now cold, smooth stone, carved" |
| | ratio | 0.008 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 2 | | matches | | 0 | "The suspect—hood up, coat flapping—cut left down Charing Cross Road, weaving between cabs and buses with the desperation of a man who knows what happens if he s…" | | 1 | "Same pattern—footsteps vanishing into a wall that wasn’t there." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | |
| 83.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 15 | | tagDensity | 0.267 | | leniency | 0.533 | | rawRatio | 0.25 | | effectiveRatio | 0.133 | |