| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.391 | | leniency | 0.783 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1126 | | 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) | |
| 86.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1126 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "clenching" | | 1 | "silence" | | 2 | "rhythmic" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 110 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 110 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 124 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 9 | | totalWords | 1126 | | ratio | 0.008 | | matches | | 0 | "Harlow, this is stupid" | | 1 | "Token." | | 2 | "Let it go, Harlow." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1015 | | uniqueNames | 15 | | maxNameDensity | 0.89 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 2 | | High | 1 | | Street | 1 | | Tomás | 1 | | Herrera | 7 | | Raven | 1 | | Nest | 1 | | Quinn | 9 | | Saint | 1 | | Christopher | 1 | | Tube | 1 | | Silence | 1 | | Deptford | 1 | | Superintendent | 1 | | Morris | 4 |
| | persons | | 0 | "Tomás" | | 1 | "Herrera" | | 2 | "Quinn" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Silence" | | 6 | "Superintendent" | | 7 | "Morris" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "Raven" | | 4 | "Deptford" |
| | globalScore | 1 | | windowScore | 1 | |
| 75.37% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 2 | | matches | | 0 | "something like sage smouldering on a hot sto" | | 1 | "quite see leaned close in the smoky half-light" |
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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 | 1126 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 124 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 20.85 | | std | 19.4 | | cv | 0.93 | | sampleLengths | | 0 | 57 | | 1 | 39 | | 2 | 14 | | 3 | 2 | | 4 | 3 | | 5 | 55 | | 6 | 5 | | 7 | 15 | | 8 | 54 | | 9 | 26 | | 10 | 27 | | 11 | 8 | | 12 | 3 | | 13 | 2 | | 14 | 56 | | 15 | 19 | | 16 | 3 | | 17 | 41 | | 18 | 10 | | 19 | 6 | | 20 | 7 | | 21 | 4 | | 22 | 54 | | 23 | 19 | | 24 | 6 | | 25 | 29 | | 26 | 36 | | 27 | 1 | | 28 | 36 | | 29 | 24 | | 30 | 3 | | 31 | 8 | | 32 | 7 | | 33 | 21 | | 34 | 8 | | 35 | 6 | | 36 | 72 | | 37 | 7 | | 38 | 7 | | 39 | 44 | | 40 | 3 | | 41 | 38 | | 42 | 17 | | 43 | 5 | | 44 | 15 | | 45 | 2 | | 46 | 40 | | 47 | 39 | | 48 | 36 | | 49 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 110 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 189 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 124 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1020 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.01764705882352941 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 124 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 124 | | mean | 9.08 | | std | 6.84 | | cv | 0.754 | | sampleLengths | | 0 | 12 | | 1 | 21 | | 2 | 24 | | 3 | 20 | | 4 | 10 | | 5 | 9 | | 6 | 4 | | 7 | 10 | | 8 | 2 | | 9 | 3 | | 10 | 13 | | 11 | 12 | | 12 | 18 | | 13 | 12 | | 14 | 5 | | 15 | 12 | | 16 | 3 | | 17 | 10 | | 18 | 13 | | 19 | 14 | | 20 | 4 | | 21 | 13 | | 22 | 9 | | 23 | 17 | | 24 | 5 | | 25 | 8 | | 26 | 14 | | 27 | 8 | | 28 | 3 | | 29 | 2 | | 30 | 17 | | 31 | 6 | | 32 | 6 | | 33 | 6 | | 34 | 21 | | 35 | 6 | | 36 | 13 | | 37 | 3 | | 38 | 14 | | 39 | 2 | | 40 | 1 | | 41 | 17 | | 42 | 2 | | 43 | 5 | | 44 | 5 | | 45 | 5 | | 46 | 6 | | 47 | 7 | | 48 | 4 | | 49 | 15 |
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| 63.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.43548387096774194 | | totalSentences | 124 | | uniqueOpeners | 54 | |
| 73.26% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 91 | | matches | | 0 | "Somewhere beneath her feet, a" | | 1 | "Somewhere in the dark, in" |
| | ratio | 0.022 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 91 | | matches | | 0 | "She had followed him from" | | 1 | "He had checked the reflections" | | 2 | "He was good, but he" | | 3 | "Her shoes slapped through a" | | 4 | "He took the canal bridge" | | 5 | "She used the name the" | | 6 | "He risked a look back." | | 7 | "He veered into a side" | | 8 | "She thumbed it off without" | | 9 | "She pushed harder." | | 10 | "She could hear his breath" | | 11 | "His bag dragged at him." | | 12 | "He slammed a fist against" | | 13 | "He pressed it into the" | | 14 | "Her jaw ached from clenching." | | 15 | "His voice cracked." | | 16 | "He ducked under the shutter" | | 17 | "It stayed where it was," | | 18 | "She let it." | | 19 | "She thought about the file" |
| | ratio | 0.275 | |
| 25.93% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 91 | | matches | | 0 | "Quinn kept forty yards back," | | 1 | "She had followed him from" | | 2 | "He had checked the reflections" | | 3 | "He was good, but he" | | 4 | "A cab hissed past." | | 5 | "Herrera glanced at its mirror," | | 6 | "The bag banged against his" | | 7 | "A night bus blared its" | | 8 | "Quinn sprinted for the gap," | | 9 | "Her shoes slapped through a" | | 10 | "The words broke off into" | | 11 | "Herrera hadn't slowed." | | 12 | "He took the canal bridge" | | 13 | "Quinn followed, lungs burning, eighteen" | | 14 | "A crowd of smokers under" | | 15 | "Glass burst on the pavement," | | 16 | "She used the name the" | | 17 | "He risked a look back." | | 18 | "Rain plastered his curls flat" | | 19 | "The Saint Christopher medallion swung" |
| | ratio | 0.868 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 91 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 2 | | matches | | 0 | "Warm air rolled out and carried smells that had no business in a Camden side street: burnt sugar, wet iron, something like sage smouldering on a hot stone." | | 1 | "The warehouse in Deptford, the blood that pooled and then, according to the forensics team, wasn't there." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 63.04% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "he shouted (shout)" | | 1 | "she muttered (mutter)" |
| | dialogueSentences | 23 | | tagDensity | 0.261 | | leniency | 0.522 | | rawRatio | 0.333 | | effectiveRatio | 0.174 | |