| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "Hale rocked back [back]" |
| | dialogueSentences | 34 | | tagDensity | 0.265 | | leniency | 0.529 | | rawRatio | 0.111 | | effectiveRatio | 0.059 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1801 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 77.79% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1801 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "flickered" | | 1 | "etched" | | 2 | "trembled" | | 3 | "footsteps" | | 4 | "database" | | 5 | "standard" | | 6 | "mechanical" |
| |
| 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 | 122 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 122 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 147 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1800 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 91.91% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1205 | | uniqueNames | 8 | | maxNameDensity | 1.16 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Hale" | | discoveredNames | | Camden | 1 | | Met | 1 | | Northern | 1 | | Line | 1 | | Hale | 10 | | Footsteps | 1 | | Eva | 11 | | Quinn | 14 |
| | persons | | 0 | "Met" | | 1 | "Line" | | 2 | "Hale" | | 3 | "Footsteps" | | 4 | "Eva" | | 5 | "Quinn" |
| | places | (empty) | | globalScore | 0.919 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.556 | | wordCount | 1800 | | matches | | 0 | "not north but at a blank stretch of brick behind the stall" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 147 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 30.51 | | std | 22.73 | | cv | 0.745 | | sampleLengths | | 0 | 71 | | 1 | 48 | | 2 | 21 | | 3 | 10 | | 4 | 17 | | 5 | 3 | | 6 | 21 | | 7 | 53 | | 8 | 72 | | 9 | 20 | | 10 | 31 | | 11 | 47 | | 12 | 4 | | 13 | 73 | | 14 | 56 | | 15 | 25 | | 16 | 3 | | 17 | 10 | | 18 | 14 | | 19 | 49 | | 20 | 67 | | 21 | 2 | | 22 | 23 | | 23 | 77 | | 24 | 36 | | 25 | 2 | | 26 | 27 | | 27 | 76 | | 28 | 7 | | 29 | 7 | | 30 | 23 | | 31 | 64 | | 32 | 6 | | 33 | 2 | | 34 | 22 | | 35 | 12 | | 36 | 49 | | 37 | 27 | | 38 | 45 | | 39 | 4 | | 40 | 13 | | 41 | 66 | | 42 | 52 | | 43 | 12 | | 44 | 24 | | 45 | 56 | | 46 | 4 | | 47 | 36 | | 48 | 65 | | 49 | 30 |
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| 99.51% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 122 | | matches | | 0 | "been raked" | | 1 | "was snapped" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 191 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 147 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1207 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.01988400994200497 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0016570008285004142 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 147 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 147 | | mean | 12.24 | | std | 10.53 | | cv | 0.86 | | sampleLengths | | 0 | 12 | | 1 | 28 | | 2 | 31 | | 3 | 6 | | 4 | 4 | | 5 | 12 | | 6 | 26 | | 7 | 10 | | 8 | 1 | | 9 | 6 | | 10 | 4 | | 11 | 10 | | 12 | 17 | | 13 | 3 | | 14 | 21 | | 15 | 5 | | 16 | 11 | | 17 | 30 | | 18 | 7 | | 19 | 8 | | 20 | 24 | | 21 | 4 | | 22 | 4 | | 23 | 7 | | 24 | 25 | | 25 | 11 | | 26 | 9 | | 27 | 31 | | 28 | 5 | | 29 | 11 | | 30 | 5 | | 31 | 7 | | 32 | 19 | | 33 | 4 | | 34 | 30 | | 35 | 43 | | 36 | 7 | | 37 | 26 | | 38 | 3 | | 39 | 7 | | 40 | 13 | | 41 | 25 | | 42 | 3 | | 43 | 10 | | 44 | 10 | | 45 | 4 | | 46 | 5 | | 47 | 19 | | 48 | 25 | | 49 | 11 |
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| 50.46% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3356164383561644 | | totalSentences | 146 | | uniqueOpeners | 49 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 110 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 110 | | matches | | 0 | "She checked the worn leather" | | 1 | "Her shoulders stayed square." | | 2 | "Her boots found the old" | | 3 | "She kept her hands at" | | 4 | "He looked up as her" | | 5 | "She tucked a strand behind" | | 6 | "She knelt without touching the" | | 7 | "She adjusted her glasses with" | | 8 | "She opened the satchel, drew" | | 9 | "She lifted the third from" | | 10 | "She let the crate settle" | | 11 | "She turned the wrist with" | | 12 | "She studied the compass again." | | 13 | "She opened the casing with" | | 14 | "She held it to the" | | 15 | "He angled a torch." | | 16 | "It sat in the crack" | | 17 | "She pulled a cloth-bound volume" | | 18 | "She walked the three paces" | | 19 | "She turned back." |
| | ratio | 0.245 | |
| 23.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 110 | | matches | | 0 | "Quinn ducked under the tape" | | 1 | "Condensation beaded on the tiled" | | 2 | "Emergency lamps the Met had" | | 3 | "Canvas awnings sagged between iron" | | 4 | "Glass jars lined a trestle," | | 5 | "A bone token the size" | | 6 | "She checked the worn leather" | | 7 | "The second hand swept past" | | 8 | "Her shoulders stayed square." | | 9 | "A uniformed constable straightened from" | | 10 | "Quinn moved down the platform." | | 11 | "Her boots found the old" | | 12 | "Stalls flickered past: a rack" | | 13 | "She kept her hands at" | | 14 | "A man lay on his" | | 15 | "Wool coat still buttoned." | | 16 | "A small brass compass rested" | | 17 | "Sergeant Hale crouched by an" | | 18 | "He looked up as her" | | 19 | "Quinn stood over the body." |
| | ratio | 0.873 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 110 | | matches | (empty) | | ratio | 0 | |
| 73.17% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 4 | | matches | | 0 | "Condensation beaded on the tiled walls of the old Camden platform, and the air carried damp brick, burnt sage, and a copper tang that sat on her tongue." | | 1 | "Emergency lamps the Met had strung from the tunnel ribs threw hard white pools across a row of stalls that had no business existing on a line closed since the s…" | | 2 | "Stalls flickered past: a rack of knives with handles of yellowed horn, a cage of moths the size of a palm, a ledger bound in something that was not leather." | | 3 | "A small brass compass rested in his open right palm, its casing mottled with verdigris, the face etched with sigils that caught the lamp light." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |