| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1217 | | 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) | |
| 87.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1217 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "familiar" | | 1 | "warmth" | | 2 | "glint" |
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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 | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 76 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1226 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 1087 | | uniqueNames | 18 | | maxNameDensity | 0.46 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Morris" | | discoveredNames | | Brewer | 1 | | Street | 2 | | Raven | 1 | | Nest | 1 | | Met | 1 | | Tomás | 1 | | Herrera | 4 | | Saint | 1 | | Christopher | 1 | | Camden | 3 | | Lock | 1 | | Sevillian | 1 | | Spanish | 1 | | Tube | 1 | | Flat | 1 | | Morris | 4 | | Quinn | 5 | | High | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Met" | | 3 | "Tomás" | | 4 | "Herrera" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Lock" | | 8 | "Morris" | | 9 | "Quinn" |
| | places | | 0 | "Brewer" | | 1 | "Street" | | 2 | "Camden" | | 3 | "Sevillian" | | 4 | "High" |
| | globalScore | 1 | | windowScore | 1 | |
| 63.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 2 | | matches | | 0 | "appeared below Camden Lock the rain had soaked through her coat to the shirt" | | 1 | "quite a voice kept pace with her words, half a beat behind" |
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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 | 1226 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 89 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 32.26 | | std | 24.48 | | cv | 0.759 | | sampleLengths | | 0 | 72 | | 1 | 57 | | 2 | 8 | | 3 | 74 | | 4 | 33 | | 5 | 3 | | 6 | 16 | | 7 | 25 | | 8 | 67 | | 9 | 8 | | 10 | 78 | | 11 | 19 | | 12 | 29 | | 13 | 53 | | 14 | 13 | | 15 | 29 | | 16 | 1 | | 17 | 19 | | 18 | 14 | | 19 | 11 | | 20 | 26 | | 21 | 68 | | 22 | 5 | | 23 | 55 | | 24 | 11 | | 25 | 21 | | 26 | 72 | | 27 | 11 | | 28 | 43 | | 29 | 6 | | 30 | 18 | | 31 | 52 | | 32 | 11 | | 33 | 41 | | 34 | 61 | | 35 | 9 | | 36 | 71 | | 37 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 176 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 89 | | ratio | 0.09 | | matches | | 0 | "No overtime authorisation, no surveillance log, nothing the Met would sanction — just a gut feeling that had outlasted every sensible voice in her head." | | 1 | "A stall mirror, angled wrong, did the work — she watched his shoulders lock, watched his hand come up to touch the medallion at his throat." | | 2 | "Twenty-nine years old, Herrera, and built for this; she was forty-one and built for courtrooms, but three years of chasing dead ends had taught her legs things her age didn't know." | | 3 | "Half a stride, no more — but she saw it, and he knew she saw it, and the satchel betrayed him a moment later, snagging on a railing as he cut between two stalls." | | 4 | "Quinn palmed the disc as she passed — warm, somehow, warmer than the rain allowed — and shoved it into her coat." | | 5 | "Sound rose up with it — a crowd, haggling, laughing, the saw of a violin tuning itself in uneven strokes — a whole market breathing under Camden where no market should be." | | 6 | "Quinn checked her watch out of habit — midnight, the second hand stuttering against the glass as though the rain had got inside the mechanism." | | 7 | "Ahead, the ticket hall opened out into lantern light and noise — stalls packed between the old barriers, jars full of things that moved against the glass, a woman in a bridal veil selling bottles of dark liquid, the violin playing now with no hands on it." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1086 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.02302025782688766 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.001841620626151013 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 13.78 | | std | 10.28 | | cv | 0.746 | | sampleLengths | | 0 | 14 | | 1 | 20 | | 2 | 9 | | 3 | 4 | | 4 | 25 | | 5 | 29 | | 6 | 13 | | 7 | 9 | | 8 | 6 | | 9 | 8 | | 10 | 7 | | 11 | 22 | | 12 | 16 | | 13 | 29 | | 14 | 7 | | 15 | 26 | | 16 | 3 | | 17 | 10 | | 18 | 6 | | 19 | 25 | | 20 | 16 | | 21 | 17 | | 22 | 3 | | 23 | 31 | | 24 | 8 | | 25 | 2 | | 26 | 34 | | 27 | 3 | | 28 | 39 | | 29 | 19 | | 30 | 7 | | 31 | 22 | | 32 | 17 | | 33 | 36 | | 34 | 8 | | 35 | 4 | | 36 | 1 | | 37 | 10 | | 38 | 9 | | 39 | 10 | | 40 | 1 | | 41 | 11 | | 42 | 8 | | 43 | 10 | | 44 | 4 | | 45 | 11 | | 46 | 6 | | 47 | 4 | | 48 | 16 | | 49 | 12 |
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| 98.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.6179775280898876 | | totalSentences | 89 | | uniqueOpeners | 55 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 72 | | matches | | 0 | "Then he ran." | | 1 | "Then she saw the wall." | | 2 | "Then she ducked under the" |
| | ratio | 0.042 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 72 | | matches | | 0 | "His Saint Christopher medallion caught" | | 1 | "He walked north without looking" | | 2 | "He moved like someone who" | | 3 | "She matched him shop window" | | 4 | "He made her at the" | | 5 | "She went after him, boots" | | 6 | "He threw it over his" | | 7 | "She followed him through the" | | 8 | "Her lungs burned." | | 9 | "He led her off the" | | 10 | "She held her warrant card" | | 11 | "He didn't look at it" | | 12 | "Her radio came up to" | | 13 | "She lowered the radio." | | 14 | "She drew it out." | | 15 | "She kept it flat on" | | 16 | "His grin showed a gap" | | 17 | "He plucked the token from" | | 18 | "She thought of Morris's file," | | 19 | "She thought of the empty" |
| | ratio | 0.278 | |
| 98.89% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 72 | | matches | | 0 | "Rain came off the awning" | | 1 | "Quinn stood beneath it with" | | 2 | "The bar's door swung open" | | 3 | "His Saint Christopher medallion caught" | | 4 | "He walked north without looking" | | 5 | "Quinn gave him half a" | | 6 | "He moved like someone who" | | 7 | "She matched him shop window" | | 8 | "Soho gave way to the" | | 9 | "He made her at the" | | 10 | "A stall mirror, angled wrong," | | 11 | "She went after him, boots" | | 12 | "He threw it over his" | | 13 | "She followed him through the" | | 14 | "A courier bike came out" | | 15 | "Her lungs burned." | | 16 | "The clasp burst." | | 17 | "Gauze, vials, a roll of" | | 18 | "A disc of bone, no" | | 19 | "Herrera snatched up the case" |
| | ratio | 0.722 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 67.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 4 | | matches | | 0 | "Cut through alleyways that bypassed the main roads, doubled back once through a late-night grocers, emerged checking the reflections in parked cars." | | 1 | "Gauze, vials, a roll of surgical tape scattered across the wet stone, and he dropped to his knees scrabbling for the case itself, cursing in Sevillian Spanish, …" | | 2 | "Quinn checked her watch out of habit — midnight, the second hand stuttering against the glass as though the rain had got inside the mechanism." | | 3 | "Ahead, the ticket hall opened out into lantern light and noise — stalls packed between the old barriers, jars full of things that moved against the glass, a wom…" |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 1 | | matches | | 0 | "She went after, boots skidding on wet cobbles" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |