| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.261 | | leniency | 0.522 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1528 | | 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) | |
| 80.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1528 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "churned" | | 1 | "measured" | | 2 | "familiar" | | 3 | "stomach" | | 4 | "footsteps" | | 5 | "fractured" |
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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 | 97 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 97 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 114 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 62 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1534 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 1207 | | uniqueNames | 21 | | maxNameDensity | 0.83 | | worstName | "Purcell" | | maxWindowNameDensity | 2 | | worstWindowName | "Purcell" | | discoveredNames | | Quinn | 9 | | Lock | 1 | | Purcell | 10 | | Camden | 2 | | Victorian | 1 | | Tried | 1 | | Morris | 1 | | Bermondsey | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Wapping | 1 | | Police | 1 | | Inspector | 1 | | Herrera | 1 | | Saint | 2 | | Christopher | 2 | | Looked | 1 | | Kentish | 1 | | Town | 1 | | Tomás | 4 |
| | persons | | 0 | "Quinn" | | 1 | "Lock" | | 2 | "Purcell" | | 3 | "Morris" | | 4 | "Market" | | 5 | "Herrera" | | 6 | "Saint" | | 7 | "Christopher" | | 8 | "Tomás" |
| | places | | 0 | "Victorian" | | 1 | "Bermondsey" | | 2 | "Wapping" | | 3 | "Kentish" | | 4 | "Town" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | 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 | 1534 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 114 | | matches | | 0 | "photographs that came" | | 1 | "eyes that sat" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 38.35 | | std | 35.14 | | cv | 0.916 | | sampleLengths | | 0 | 10 | | 1 | 73 | | 2 | 2 | | 3 | 71 | | 4 | 6 | | 5 | 51 | | 6 | 4 | | 7 | 83 | | 8 | 21 | | 9 | 62 | | 10 | 9 | | 11 | 56 | | 12 | 86 | | 13 | 9 | | 14 | 112 | | 15 | 13 | | 16 | 48 | | 17 | 67 | | 18 | 41 | | 19 | 34 | | 20 | 4 | | 21 | 5 | | 22 | 31 | | 23 | 25 | | 24 | 9 | | 25 | 50 | | 26 | 39 | | 27 | 1 | | 28 | 78 | | 29 | 6 | | 30 | 9 | | 31 | 103 | | 32 | 9 | | 33 | 139 | | 34 | 11 | | 35 | 12 | | 36 | 76 | | 37 | 13 | | 38 | 52 | | 39 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 185 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 114 | | ratio | 0.053 | | matches | | 0 | "Not a door, not a wall — the ground took him." | | 1 | "Wet stone gave way to something else underneath — saltpetre, tallow smoke, and a sweetness like burnt sugar and copper filings." | | 2 | "Trestle tables heaped with things that glimmered wrong — jars of moving liquid, feathers too large for any bird, coins stacked in columns that leaned without falling." | | 3 | "The name had crossed her desk three times in two years and every time it evaporated — informants who recanted, surveillance photographs that came back fogged, a raid on a warehouse in Wapping that found six kilos of flour and one very confused customs officer." | | 4 | "He reached a barrier of iron railings manned by a figure the size of a wardrobe — waxed coat, shaved skull, hands like two raw steaks." | | 5 | "\"Our friend in the doorway keeps all of us honest.\" Tomás set the canvas roll on the rail and unwound it, revealing steel that had no business being in a paramedic's kit — probes, clamps, a saw with teeth ground thin." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1205 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.021576763485477178 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 114 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 114 | | mean | 13.46 | | std | 11.63 | | cv | 0.864 | | sampleLengths | | 0 | 10 | | 1 | 12 | | 2 | 1 | | 3 | 25 | | 4 | 11 | | 5 | 24 | | 6 | 2 | | 7 | 10 | | 8 | 16 | | 9 | 17 | | 10 | 5 | | 11 | 23 | | 12 | 6 | | 13 | 4 | | 14 | 25 | | 15 | 7 | | 16 | 5 | | 17 | 8 | | 18 | 2 | | 19 | 3 | | 20 | 1 | | 21 | 21 | | 22 | 5 | | 23 | 13 | | 24 | 15 | | 25 | 6 | | 26 | 23 | | 27 | 9 | | 28 | 1 | | 29 | 11 | | 30 | 2 | | 31 | 2 | | 32 | 29 | | 33 | 3 | | 34 | 26 | | 35 | 1 | | 36 | 2 | | 37 | 6 | | 38 | 16 | | 39 | 2 | | 40 | 10 | | 41 | 18 | | 42 | 10 | | 43 | 4 | | 44 | 23 | | 45 | 3 | | 46 | 21 | | 47 | 1 | | 48 | 34 | | 49 | 9 |
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| 85.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5350877192982456 | | totalSentences | 114 | | uniqueOpeners | 61 | |
| 86.58% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 77 | | matches | | 0 | "Then the corridor opened, and" | | 1 | "Somewhere below, in the dark" |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 77 | | matches | | 0 | "Her shoes slapped the wet" | | 1 | "She had his shoulder blade" | | 2 | "His jaw worked once, twice." | | 3 | "She filed it." | | 4 | "He plunged into the alley" | | 5 | "Her watch, the leather darkened" | | 6 | "Her torch found a flight" | | 7 | "She keyed the radio at" | | 8 | "She switched it off and" | | 9 | "He reached a barrier of" | | 10 | "She watched his eyes read" | | 11 | "He had most of his" | | 12 | "He folded his hands in" | | 13 | "He looked at the big" | | 14 | "He began wiping them clean" | | 15 | "He reached into his shirt" | | 16 | "He pressed the medallion into" | | 17 | "She closed her fist." |
| | ratio | 0.234 | |
| 89.87% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 77 | | matches | | 0 | "The rain came sideways off" | | 1 | "Her shoes slapped the wet" | | 2 | "She had his shoulder blade" | | 3 | "Purcell cut left across the" | | 4 | "A taxi threw up a" | | 5 | "Quinn hurdled the kerb, badge" | | 6 | "Camden Lock churned black below." | | 7 | "Stallholders hauled tarpaulins over their" | | 8 | "Quinn vaulted the crate." | | 9 | "Wax skated underfoot and she" | | 10 | "His jaw worked once, twice." | | 11 | "A coin, a chip, something" | | 12 | "She filed it." | | 13 | "He plunged into the alley" | | 14 | "Quinn went in after him." | | 15 | "Her watch, the leather darkened" | | 16 | "Every drunk and pickplock in" | | 17 | "Purcell hit the end of" | | 18 | "Her torch found a flight" | | 19 | "A maintenance entrance." |
| | ratio | 0.74 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 3 | | matches | | 0 | "Lean, fast, stupid enough to bolt, which meant the satchel on his hip held something worth more than the five years he'd get for resisting." | | 1 | "Trestle tables heaped with things that glimmered wrong — jars of moving liquid, feathers too large for any bird, coins stacked in columns that leaned without fa…" | | 2 | "The name had crossed her desk three times in two years and every time it evaporated — informants who recanted, surveillance photographs that came back fogged, a…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |