| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 2 | | adverbTags | | 0 | "She stepped back [back]" | | 1 | "Quinn crouched again [again]" |
| | dialogueSentences | 54 | | tagDensity | 0.296 | | leniency | 0.593 | | rawRatio | 0.125 | | effectiveRatio | 0.074 | |
| 88.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1289 | | totalAiIsmAdverbs | 3 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | | | 2 | |
| | highlights | | 0 | "deliberately" | | 1 | "slightly" | | 2 | "perfectly" |
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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) | |
| 100.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1289 | | totalAiIsms | 0 | | found | (empty) | | highlights | (empty) | |
| 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 | 64 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 64 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 102 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 74 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1294 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.12% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 770 | | uniqueNames | 6 | | maxNameDensity | 2.34 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Aiyana | 1 | | Bell | 12 | | Quinn | 18 | | Grit | 1 | | Prentice | 3 | | Morris | 1 |
| | persons | | 0 | "Bell" | | 1 | "Quinn" | | 2 | "Prentice" | | 3 | "Morris" |
| | places | (empty) | | globalScore | 0.331 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.773 | | wordCount | 1294 | | matches | | 0 | "Not deep, but he's dug them in" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 102 | | matches | | 0 | "seen that mark" | | 1 | "flat that she" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 21.93 | | std | 21.24 | | cv | 0.968 | | sampleLengths | | 0 | 39 | | 1 | 11 | | 2 | 5 | | 3 | 45 | | 4 | 21 | | 5 | 7 | | 6 | 5 | | 7 | 3 | | 8 | 79 | | 9 | 7 | | 10 | 3 | | 11 | 40 | | 12 | 16 | | 13 | 46 | | 14 | 2 | | 15 | 48 | | 16 | 56 | | 17 | 1 | | 18 | 26 | | 19 | 1 | | 20 | 13 | | 21 | 63 | | 22 | 4 | | 23 | 7 | | 24 | 22 | | 25 | 1 | | 26 | 24 | | 27 | 31 | | 28 | 36 | | 29 | 4 | | 30 | 13 | | 31 | 4 | | 32 | 36 | | 33 | 7 | | 34 | 80 | | 35 | 13 | | 36 | 1 | | 37 | 21 | | 38 | 4 | | 39 | 22 | | 40 | 14 | | 41 | 1 | | 42 | 38 | | 43 | 14 | | 44 | 76 | | 45 | 3 | | 46 | 43 | | 47 | 2 | | 48 | 42 | | 49 | 22 |
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| 77.85% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 64 | | matches | | 0 | "being asked" | | 1 | "been swept" | | 2 | "was matted" | | 3 | "been lifted" | | 4 | "been closed" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 128 | | matches | | |
| 58.82% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 102 | | ratio | 0.029 | | matches | | 0 | "Around him — and this was the thing Quinn's eyes went to before anything else — the dust had been swept into a circle." | | 1 | "No fear in them that she could read, though she distrusted herself on that; the dead arranged their faces to suit whoever was looking." | | 2 | "Prentice's shoeprints came in from the stairwell end — she followed them backwards with the light, twenty feet, thirty — and then, four metres short of the circle, they stopped." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 769 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.027308192457737322 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005201560468140442 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 102 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 102 | | mean | 12.69 | | std | 11.85 | | cv | 0.934 | | sampleLengths | | 0 | 13 | | 1 | 26 | | 2 | 9 | | 3 | 2 | | 4 | 5 | | 5 | 19 | | 6 | 7 | | 7 | 11 | | 8 | 8 | | 9 | 21 | | 10 | 7 | | 11 | 5 | | 12 | 3 | | 13 | 14 | | 14 | 7 | | 15 | 6 | | 16 | 24 | | 17 | 2 | | 18 | 26 | | 19 | 7 | | 20 | 3 | | 21 | 35 | | 22 | 5 | | 23 | 15 | | 24 | 1 | | 25 | 46 | | 26 | 2 | | 27 | 11 | | 28 | 37 | | 29 | 26 | | 30 | 3 | | 31 | 3 | | 32 | 24 | | 33 | 1 | | 34 | 26 | | 35 | 1 | | 36 | 13 | | 37 | 14 | | 38 | 18 | | 39 | 11 | | 40 | 11 | | 41 | 9 | | 42 | 4 | | 43 | 5 | | 44 | 2 | | 45 | 22 | | 46 | 1 | | 47 | 14 | | 48 | 10 | | 49 | 10 |
| |
| 98.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.6078431372549019 | | totalSentences | 102 | | uniqueOpeners | 62 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 6 | | totalSentences | 54 | | matches | | 0 | "She stepped over it anyway." | | 1 | "It lay palm-up, fingers curled," | | 2 | "She swung the beam back" | | 3 | "She stepped back and let" | | 4 | "She went round on her" | | 5 | "She had a copy in" |
| | ratio | 0.111 | |
| 80.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 54 | | matches | | 0 | "The stairwell down to the" | | 1 | "Quinn took the steps two" | | 2 | "someone called up" | | 3 | "She stepped over it anyway." | | 4 | "The platform ran ninety metres" | | 5 | "Uniforms moved in and out" | | 6 | "A generator coughed somewhere behind" | | 7 | "DS Aiyana Bell met her" | | 8 | "The body lay in the" | | 9 | "Male, fifty-odd, grey overcoat, one" | | 10 | "Quinn stopped outside the rim" | | 11 | "Bell pointed with her chin" | | 12 | "Quinn set her coffee down" | | 13 | "Bell flipped her notebook back" | | 14 | "Quinn moved along the rim," | | 15 | "Quinn's torch travelled from the" | | 16 | "It lay palm-up, fingers curled," | | 17 | "She swung the beam back" | | 18 | "Bell came round to look." | | 19 | "Quinn tilted her head" |
| | ratio | 0.759 | |
| 92.59% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 54 | | matches | | 0 | "As though he'd walked to" |
| | ratio | 0.019 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 54 | | tagDensity | 0.093 | | leniency | 0.185 | | rawRatio | 0 | | effectiveRatio | 0 | |