| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.476 | | leniency | 0.952 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.57% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1186 | | totalAiIsmAdverbs | 2 | | 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) | |
| 83.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1186 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "silence" | | 1 | "etched" | | 2 | "firmly" | | 3 | "weight" |
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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 | 84 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 84 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1199 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 1035 | | uniqueNames | 4 | | maxNameDensity | 1.16 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 12 | | Victorian | 1 | | Fielding | 4 | | Male | 1 |
| | persons | | | places | (empty) | | globalScore | 0.92 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like fine grey powder across the t" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.834 | | wordCount | 1199 | | matches | | 0 | "not silence exactly, but a thickness in the air" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 94 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 34.26 | | std | 28.79 | | cv | 0.841 | | sampleLengths | | 0 | 45 | | 1 | 5 | | 2 | 111 | | 3 | 26 | | 4 | 14 | | 5 | 59 | | 6 | 55 | | 7 | 14 | | 8 | 69 | | 9 | 8 | | 10 | 6 | | 11 | 19 | | 12 | 43 | | 13 | 80 | | 14 | 6 | | 15 | 9 | | 16 | 26 | | 17 | 66 | | 18 | 8 | | 19 | 12 | | 20 | 91 | | 21 | 7 | | 22 | 53 | | 23 | 65 | | 24 | 11 | | 25 | 42 | | 26 | 4 | | 27 | 69 | | 28 | 8 | | 29 | 60 | | 30 | 44 | | 31 | 9 | | 32 | 12 | | 33 | 38 | | 34 | 5 |
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| 80.20% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 84 | | matches | | 0 | "were curled" | | 1 | "were broken" | | 2 | "were scored" | | 3 | "been screwed" | | 4 | "been used" | | 5 | "being talked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 149 | | matches | | 0 | "were looking" | | 1 | "was tucking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 94 | | ratio | 0.106 | | matches | | 0 | "The abandoned station swallowed sound the way old churches did — not silence exactly, but a thickness in the air that made every footstep feel deliberate." | | 1 | "The forensics team had already photographed the scene, and she could see the numbered yellow markers scattered across the platform — eight of them." | | 2 | "Brass, palm-sized, with a casing the colour of an old copper pipe — green-brown, eaten through with verdigris in the decorative grooves." | | 3 | "Symbols, fine and deliberate, etched into the brass around the edge of the face — not a manufacturer's mark, not a serial number." | | 4 | "But the fingernails on his right hand were broken back — not torn, broken, the way nails broke when someone braced themselves against a hard surface with force and desperation." | | 5 | "One of the boards was fractionally misaligned — the screws on the left side flush, but the right side bowed slightly outward, a gap of perhaps a centimetre between the board edge and the frame." | | 6 | "The screws on that side were cosmetic — they sat in the holes but had nothing to bite into." | | 7 | "Coming and going, layered over each other, but distinct enough that she could see the variety — different soles, different sizes." | | 8 | "A voice — female, carrying — insisting something about the archives and having clearance." | | 9 | "The books visible through the gap in the satchel — spines she couldn't read at this distance, but the bindings were old." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1032 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.031007751937984496 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005813953488372093 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 12.76 | | std | 9.29 | | cv | 0.729 | | sampleLengths | | 0 | 45 | | 1 | 5 | | 2 | 26 | | 3 | 12 | | 4 | 26 | | 5 | 25 | | 6 | 22 | | 7 | 26 | | 8 | 9 | | 9 | 5 | | 10 | 13 | | 11 | 12 | | 12 | 6 | | 13 | 25 | | 14 | 3 | | 15 | 29 | | 16 | 26 | | 17 | 5 | | 18 | 9 | | 19 | 27 | | 20 | 24 | | 21 | 5 | | 22 | 13 | | 23 | 8 | | 24 | 6 | | 25 | 19 | | 26 | 5 | | 27 | 14 | | 28 | 15 | | 29 | 9 | | 30 | 2 | | 31 | 22 | | 32 | 4 | | 33 | 7 | | 34 | 9 | | 35 | 4 | | 36 | 23 | | 37 | 2 | | 38 | 7 | | 39 | 6 | | 40 | 9 | | 41 | 17 | | 42 | 2 | | 43 | 7 | | 44 | 16 | | 45 | 30 | | 46 | 13 | | 47 | 3 | | 48 | 1 | | 49 | 3 |
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| 75.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.5 | | totalSentences | 94 | | uniqueOpeners | 47 | |
| 45.05% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 74 | | matches | | 0 | "Then a second uniform's voice," |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 74 | | matches | | 0 | "She ducked under the tape." | | 1 | "He lifted his chin by" | | 2 | "She crouched beside the body" | | 3 | "His face was turned toward" | | 4 | "She leaned closer to the" | | 5 | "She straightened and walked toward" | | 6 | "she called back" | | 7 | "She picked it up, held" | | 8 | "She turned it over." | | 9 | "She brought it closer." | | 10 | "She set the bagged compass" | | 11 | "His fingers were curled toward" | | 12 | "She counted them." | | 13 | "She stood and turned a" | | 14 | "She walked toward it." | | 15 | "She put two fingers into" | | 16 | "She let the board rest" | | 17 | "She was tucking a curl" | | 18 | "She'd fixed on Quinn the" |
| | ratio | 0.257 | |
| 88.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 74 | | matches | | 0 | "The uniforms had strung blue-and-white" | | 1 | "She ducked under the tape." | | 2 | "The abandoned station swallowed sound" | | 3 | "Quinn swept her torch across" | | 4 | "The tiles were the original" | | 5 | "Graffiti ran in layers along" | | 6 | "DS Fielding stood beside the" | | 7 | "He lifted his chin by" | | 8 | "She crouched beside the body" | | 9 | "His face was turned toward" | | 10 | "Quinn said nothing to that." | | 11 | "She leaned closer to the" | | 12 | "The forensics team had already" | | 13 | "She straightened and walked toward" | | 14 | "she called back" | | 15 | "Quinn looked at the markers." | | 16 | "The other flagged a small" | | 17 | "She picked it up, held" | | 18 | "Brass, palm-sized, with a casing" | | 19 | "She turned it over." |
| | ratio | 0.743 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 30.08% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 6 | | matches | | 0 | "The uniforms had strung blue-and-white tape across the mouth of the service tunnel before Quinn even reached the bottom of the access stairs, which told her two…" | | 1 | "The abandoned station swallowed sound the way old churches did — not silence exactly, but a thickness in the air that made every footstep feel deliberate." | | 2 | "DS Fielding stood beside the body with his arms crossed and the specific expression of a man who had already written his report in his head." | | 3 | "A freckled face that was currently arranged in the expression of someone fighting between urgency and composure and losing on both fronts." | | 4 | "She'd fixed on Quinn the moment Quinn appeared at the top of the stairs, with the particular focus of someone who had rehearsed an argument and needed the right…" | | 5 | "Behind the round glasses, her green eyes carried the particular weight of someone who had spent a long time knowing a thing that no one around them believed." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.238 | | leniency | 0.476 | | rawRatio | 0 | | effectiveRatio | 0 | |