| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn knelt again [again]" | | 1 | "she said slowly [slowly]" |
| | dialogueSentences | 47 | | tagDensity | 0.319 | | leniency | 0.638 | | rawRatio | 0.133 | | effectiveRatio | 0.085 | |
| 96.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1382 | | 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) | |
| 78.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1382 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "warmth" | | 1 | "weight" | | 2 | "footsteps" | | 3 | "tracing" | | 4 | "etched" | | 5 | "wavered" |
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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 | 73 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 73 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1396 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 851 | | uniqueNames | 9 | | maxNameDensity | 1.65 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Buck | 1 | | Street | 1 | | London | 1 | | Sixties | 1 | | Nash | 3 | | Quinn | 14 | | Thirteen | 1 | | Fenn | 2 | | Eva | 8 |
| | persons | | 0 | "Buck" | | 1 | "Street" | | 2 | "Nash" | | 3 | "Quinn" | | 4 | "Thirteen" | | 5 | "Fenn" | | 6 | "Eva" |
| | places | | | globalScore | 0.677 | | windowScore | 0.667 | |
| 96.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 1 | | matches | | 0 | "as if straining on a leash" |
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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 | 1396 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 104 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 24.93 | | std | 20.04 | | cv | 0.804 | | sampleLengths | | 0 | 50 | | 1 | 13 | | 2 | 8 | | 3 | 3 | | 4 | 71 | | 5 | 35 | | 6 | 8 | | 7 | 39 | | 8 | 3 | | 9 | 9 | | 10 | 10 | | 11 | 18 | | 12 | 37 | | 13 | 46 | | 14 | 5 | | 15 | 10 | | 16 | 79 | | 17 | 7 | | 18 | 6 | | 19 | 7 | | 20 | 57 | | 21 | 30 | | 22 | 35 | | 23 | 37 | | 24 | 8 | | 25 | 40 | | 26 | 48 | | 27 | 11 | | 28 | 8 | | 29 | 55 | | 30 | 36 | | 31 | 9 | | 32 | 72 | | 33 | 48 | | 34 | 26 | | 35 | 43 | | 36 | 4 | | 37 | 9 | | 38 | 49 | | 39 | 42 | | 40 | 23 | | 41 | 8 | | 42 | 4 | | 43 | 29 | | 44 | 14 | | 45 | 26 | | 46 | 24 | | 47 | 3 | | 48 | 16 | | 49 | 50 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 73 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 138 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 104 | | ratio | 0.067 | | matches | | 0 | "Quinn went down first, torch between her teeth, and the air changed halfway — London's grime and warmth traded for a cellar cold that tasted of iron and wet stone." | | 1 | "Along the platform edge, chalked directly onto the concrete, ran the outlines of stalls — rectangles, each with a numeral in a round, careful hand." | | 2 | "A young constable's radio crackled at the tunnel mouth, and footsteps crossed the stepping plates behind her — light, quick, accompanied by the slap of a heavy satchel." | | 3 | "Quinn pulled the evidence sleeve from her pocket — a till roll found in Fenn's breast pocket, column after column of stall numbers and sums, twelve lines ruled off in neat blue ink." | | 4 | "The thirteenth line ran to the edge of the paper: 13 — arrears — carried." | | 5 | "The needle swung in wide, lazy circles — then, as Quinn turned, it dragged, shuddered, and held, steady as a rivet, pointing at the bricked-up face of the northbound tunnel." | | 6 | "The needle never wavered — it pressed against the glass toward one specific course of brick, as if straining on a leash." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 850 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.024705882352941175 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0058823529411764705 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 13.42 | | std | 10.39 | | cv | 0.774 | | sampleLengths | | 0 | 20 | | 1 | 30 | | 2 | 13 | | 3 | 8 | | 4 | 3 | | 5 | 14 | | 6 | 5 | | 7 | 13 | | 8 | 39 | | 9 | 3 | | 10 | 26 | | 11 | 1 | | 12 | 3 | | 13 | 2 | | 14 | 8 | | 15 | 39 | | 16 | 3 | | 17 | 9 | | 18 | 10 | | 19 | 18 | | 20 | 11 | | 21 | 26 | | 22 | 4 | | 23 | 36 | | 24 | 3 | | 25 | 3 | | 26 | 5 | | 27 | 10 | | 28 | 14 | | 29 | 25 | | 30 | 5 | | 31 | 17 | | 32 | 5 | | 33 | 13 | | 34 | 7 | | 35 | 6 | | 36 | 7 | | 37 | 7 | | 38 | 21 | | 39 | 6 | | 40 | 23 | | 41 | 28 | | 42 | 2 | | 43 | 20 | | 44 | 15 | | 45 | 32 | | 46 | 5 | | 47 | 8 | | 48 | 29 | | 49 | 11 |
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| 76.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4807692307692308 | | totalSentences | 104 | | uniqueOpeners | 50 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 67 | | matches | | 0 | "He wasn't asleep." | | 1 | "She circled the column, reading" | | 2 | "She held her hands above" | | 3 | "She crouched over them without" | | 4 | "She tucked a loose curl" | | 5 | "She was already at the" | | 6 | "She nodded at the second" | | 7 | "She looked where the needle" | | 8 | "She didn't touch it." | | 9 | "She looked up, and her" | | 10 | "she said slowly" | | 11 | "She'd helped close it." | | 12 | "She crossed to the evidence" | | 13 | "She laid her palm flat" | | 14 | "She turned to the constable" |
| | ratio | 0.224 | |
| 19.70% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 67 | | matches | | 0 | "The hatch behind the old" | | 1 | "Quinn went down first, torch" | | 2 | "The PC leaning at the" | | 3 | "The platform stretched out under" | | 4 | "Tiles furred green with damp." | | 5 | "A station clock frozen at" | | 6 | "SOCO lamps threw white rectangles" | | 7 | "He wasn't asleep." | | 8 | "The skin had dried across" | | 9 | "SOCO Nash crouched by a" | | 10 | "Quinn looked at the withered" | | 11 | "Nash flipped his notebook" | | 12 | "Quinn was already moving." | | 13 | "The dust on the platform" | | 14 | "She circled the column, reading" | | 15 | "The thirteenth sat apart from" | | 16 | "The concrete beneath had blistered." | | 17 | "The scorch held a shape:" | | 18 | "She held her hands above" | | 19 | "She crouched over them without" |
| | ratio | 0.881 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 66.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 3 | | matches | | 0 | "Inside sat a small brass compass, its casing greened with verdigris, the face etched with fine sigils that caught the lamplight." | | 1 | "A man who lay down inside the one square that owed money, and got up six hours later to sit against a column like luggage left for collection." | | 2 | "The needle never wavered — it pressed against the glass toward one specific course of brick, as if straining on a leash." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 47 | | tagDensity | 0.021 | | leniency | 0.043 | | rawRatio | 0 | | effectiveRatio | 0 | |