| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 30 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 68 | | tagDensity | 0.441 | | leniency | 0.882 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1764 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 85.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1764 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "traced" | | 1 | "silence" | | 2 | "measured" | | 3 | "pulse" |
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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 | 117 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 117 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 157 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1780 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 29 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 1144 | | uniqueNames | 12 | | maxNameDensity | 0.35 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 3 | | Moreau | 2 | | Chinese | 1 | | Cold | 1 | | Breathed | 1 | | London | 1 | | Wapping | 3 | | Rain | 1 | | Watched | 1 | | Lucien | 4 | | Water | 2 | | French | 1 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Rain" | | 3 | "Lucien" | | 4 | "Water" |
| | places | | 0 | "London" | | 1 | "Wapping" | | 2 | "French" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1780 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 157 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 77 | | mean | 23.12 | | std | 20.71 | | cv | 0.896 | | sampleLengths | | 0 | 8 | | 1 | 57 | | 2 | 4 | | 3 | 30 | | 4 | 43 | | 5 | 22 | | 6 | 53 | | 7 | 4 | | 8 | 1 | | 9 | 12 | | 10 | 25 | | 11 | 9 | | 12 | 67 | | 13 | 59 | | 14 | 10 | | 15 | 2 | | 16 | 45 | | 17 | 3 | | 18 | 13 | | 19 | 48 | | 20 | 4 | | 21 | 2 | | 22 | 19 | | 23 | 69 | | 24 | 60 | | 25 | 3 | | 26 | 31 | | 27 | 1 | | 28 | 32 | | 29 | 12 | | 30 | 7 | | 31 | 43 | | 32 | 11 | | 33 | 19 | | 34 | 28 | | 35 | 7 | | 36 | 21 | | 37 | 51 | | 38 | 6 | | 39 | 4 | | 40 | 5 | | 41 | 74 | | 42 | 7 | | 43 | 12 | | 44 | 12 | | 45 | 38 | | 46 | 55 | | 47 | 3 | | 48 | 4 | | 49 | 50 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 197 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 157 | | ratio | 0.057 | | matches | | 0 | "He looked at her — straight shoulder-length black hair still damp at the ends, the oversized jumper she wore to sleep, bare feet on cold floorboards — and his gaze took its time." | | 1 | "The flat behind Rory held its silence — the hum of the small fridge, the drip from the kitchen tap she kept meaning to fix." | | 2 | "She heard the door click shut, the three deadbolts — she'd installed them in a burst of paranoia the week after Wapping — and then his measured steps on the runner rug." | | 3 | "Even sodden, even tired — there were shadows under his eyes she hadn't seen before, deep ones — he carried himself like the space owed him rent." | | 4 | "She could picture it — Lucien Moreau in the back of some idling sedan, checking his phone, checking the windows, working out the angles the way he always did, and getting every single one wrong." | | 5 | "He caught her wrist — the left one, the scarred one — and held it still against him." | | 6 | "His black eye held her the way deep water held a swimmer — no bottom, no sides, just the pull." | | 7 | "Something loosened in his face — the tight line of his mouth, the set of his shoulders." | | 8 | "He raised one hand in a small gesture — surrender, or a goodbye, or both — and walked down the corridor toward the door." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 460 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.010869565217391304 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 157 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 157 | | mean | 11.34 | | std | 9.44 | | cv | 0.833 | | sampleLengths | | 0 | 8 | | 1 | 30 | | 2 | 9 | | 3 | 11 | | 4 | 7 | | 5 | 4 | | 6 | 13 | | 7 | 11 | | 8 | 6 | | 9 | 32 | | 10 | 11 | | 11 | 12 | | 12 | 5 | | 13 | 5 | | 14 | 17 | | 15 | 3 | | 16 | 33 | | 17 | 4 | | 18 | 1 | | 19 | 7 | | 20 | 3 | | 21 | 2 | | 22 | 18 | | 23 | 5 | | 24 | 2 | | 25 | 9 | | 26 | 19 | | 27 | 1 | | 28 | 19 | | 29 | 28 | | 30 | 6 | | 31 | 16 | | 32 | 37 | | 33 | 10 | | 34 | 2 | | 35 | 19 | | 36 | 26 | | 37 | 3 | | 38 | 13 | | 39 | 10 | | 40 | 25 | | 41 | 13 | | 42 | 4 | | 43 | 2 | | 44 | 19 | | 45 | 12 | | 46 | 7 | | 47 | 32 | | 48 | 18 | | 49 | 14 |
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| 52.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.35668789808917195 | | totalSentences | 157 | | uniqueOpeners | 56 | |
| 35.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 95 | | matches | | 0 | "Somewhere below, the singing stopped" |
| | ratio | 0.011 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 56 | | totalSentences | 95 | | matches | | 0 | "His platinum hair held its" | | 1 | "She gripped the door frame" | | 2 | "He glanced past her into" | | 3 | "Her shoulder pressed the frame." | | 4 | "His jaw moved." | | 5 | "He looked at her —" | | 6 | "She held up the Chinese" | | 7 | "He spoke four languages and" | | 8 | "She'd watched it happen in" | | 9 | "He leaned on the cane" | | 10 | "She turned and walked down" | | 11 | "Her bare feet slapped the" | | 12 | "She heard the door click" | | 13 | "She set the takeout container" | | 14 | "He filled the doorway of" | | 15 | "He leaned the cane against" | | 16 | "He didn't talk." | | 17 | "He looked at her hands" | | 18 | "She pulled her sleeve down" | | 19 | "She opened the fridge, pulled" |
| | ratio | 0.589 | |
| 28.42% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 95 | | matches | | 0 | "The door swung open and" | | 1 | "Lucien Moreau stood in the" | | 2 | "His platinum hair held its" | | 3 | "The amber eye caught the" | | 4 | "The black one held nothing" | | 5 | "She gripped the door frame" | | 6 | "The wood dug into the" | | 7 | "He glanced past her into" | | 8 | "Rory shifted to block the" | | 9 | "Her shoulder pressed the frame." | | 10 | "The name came out of" | | 11 | "His jaw moved." | | 12 | "He looked at her —" | | 13 | "Something crossed his face" | | 14 | "She held up the Chinese" | | 15 | "Lucien's fingers tightened on the" | | 16 | "He spoke four languages and" | | 17 | "She'd watched it happen in" | | 18 | "He leaned on the cane" | | 19 | "Rain traced a line down" |
| | ratio | 0.863 | |
| 52.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 95 | | matches | | 0 | "Even sodden, even tired —" |
| | ratio | 0.011 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 1 | | matches | | 0 | "She could picture it — Lucien Moreau in the back of some idling sedan, checking his phone, checking the windows, working out the angles the way he always did, a…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 30 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 2 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "he repeated (repeat)" |
| | dialogueSentences | 68 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.118 | | effectiveRatio | 0.059 | |