| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.478 | | leniency | 0.957 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 75.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 808 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "carefully" | | 1 | "gently" | | 2 | "barely above a whisper" |
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| 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) | |
| 13.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 808 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "determined" | | 1 | "echoing" | | 2 | "scanning" | | 3 | "etched" | | 4 | "furrowed" | | 5 | "racing" | | 6 | "trepidation" | | 7 | "echo" | | 8 | "measured" | | 9 | "glinting" | | 10 | "whisper" | | 11 | "wavered" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
| | 1 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "eyes widened" | | 1 | "eyes narrowed" | | 2 | "The air was heavy with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 40 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 40 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 52 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 813 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 473 | | uniqueNames | 6 | | maxNameDensity | 3.81 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 18 | | Tube | 2 | | Rachel | 1 | | Lee | 11 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Rachel" | | 3 | "Lee" | | 4 | "Morris" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | 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 | 813 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 52 | | matches | (empty) | |
| 98.34% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 30.11 | | std | 14.88 | | cv | 0.494 | | sampleLengths | | 0 | 71 | | 1 | 14 | | 2 | 36 | | 3 | 12 | | 4 | 40 | | 5 | 45 | | 6 | 39 | | 7 | 22 | | 8 | 41 | | 9 | 27 | | 10 | 49 | | 11 | 11 | | 12 | 31 | | 13 | 41 | | 14 | 2 | | 15 | 25 | | 16 | 45 | | 17 | 39 | | 18 | 30 | | 19 | 7 | | 20 | 25 | | 21 | 15 | | 22 | 34 | | 23 | 42 | | 24 | 28 | | 25 | 18 | | 26 | 24 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 40 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 74 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 52 | | ratio | 0.096 | | matches | | 0 | "The unexplained, the supernatural – it all came flooding back." | | 1 | "\"Hold on, Rachel.\" Quinn interrupted, her eyes locked on a small, almost imperceptible detail on the victim's wrist – a faint, verdigris patina." | | 2 | "A tiny, almost imperceptible line, caught her attention – the edge of a worn leather strap." | | 3 | "She noted the lack of security cameras, the deliberate choice of location – an abandoned Tube station, hidden from prying eyes." | | 4 | "She spotted a small, overlooked detail near the edge of the platform – a tiny, dropped item, partially hidden by shadows." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 469 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.03411513859275053 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.014925373134328358 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 52 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 52 | | mean | 15.63 | | std | 8.96 | | cv | 0.573 | | sampleLengths | | 0 | 19 | | 1 | 14 | | 2 | 12 | | 3 | 13 | | 4 | 13 | | 5 | 14 | | 6 | 13 | | 7 | 11 | | 8 | 12 | | 9 | 12 | | 10 | 40 | | 11 | 8 | | 12 | 16 | | 13 | 10 | | 14 | 11 | | 15 | 13 | | 16 | 26 | | 17 | 2 | | 18 | 20 | | 19 | 23 | | 20 | 18 | | 21 | 11 | | 22 | 16 | | 23 | 49 | | 24 | 3 | | 25 | 8 | | 26 | 7 | | 27 | 24 | | 28 | 13 | | 29 | 28 | | 30 | 2 | | 31 | 25 | | 32 | 11 | | 33 | 13 | | 34 | 21 | | 35 | 18 | | 36 | 21 | | 37 | 9 | | 38 | 21 | | 39 | 7 | | 40 | 11 | | 41 | 14 | | 42 | 15 | | 43 | 16 | | 44 | 1 | | 45 | 17 | | 46 | 9 | | 47 | 33 | | 48 | 28 | | 49 | 18 |
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| 79.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5 | | totalSentences | 52 | | uniqueOpeners | 26 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 38 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 38 | | matches | | 0 | "Her mind flashed back to" | | 1 | "She pushed the thoughts aside," | | 2 | "She pointed to the victim's" | | 3 | "She carefully lifted the victim's" | | 4 | "She noted the lack of" | | 5 | "She spotted a small, overlooked" | | 6 | "Her grip on the compass" | | 7 | "She held up the compass," |
| | ratio | 0.211 | |
| 25.79% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 33 | | totalSentences | 38 | | matches | | 0 | "Detective Harlow Quinn stepped off" | | 1 | "The air was heavy with" | | 2 | "A sign, partially hidden by" | | 3 | "Quinn's gaze swept the area," | | 4 | "Quinn approached the designated crime" | | 5 | "A makeshift table, erected by" | | 6 | "Lee, a younger, ambitious detective," | | 7 | "Quinn asked, her eyes scanning" | | 8 | "Quinn's brow furrowed as she" | | 9 | "Her mind flashed back to" | | 10 | "The unexplained, the supernatural –" | | 11 | "She pushed the thoughts aside," | | 12 | "Quinn turned her attention to" | | 13 | "She pointed to the victim's" | | 14 | "Quinn interrupted, her eyes locked" | | 15 | "She carefully lifted the victim's" | | 16 | "A tiny, almost imperceptible line," | | 17 | "Lee's eyes widened." | | 18 | "Quinn's gaze never left the" | | 19 | "Quinn's attention turned to the" |
| | ratio | 0.868 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 38 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 1 | | matches | | 0 | "Her mind flashed back to the case that took her partner, DS Morris, three years ago." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 6 | | matches | | 0 | "called DS Rachel Lee, her voice echoing off the tile walls" | | 1 | "Quinn asked, her eyes scanning the table's contents" | | 2 | "Quinn muttered, more to herself than Lee" | | 3 | "Quinn said, her voice low, measured" | | 4 | "She held up, the fluorescent lights glinting off its brass surface" | | 5 | "Lee asked, her voice barely above a whisper" |
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| 19.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "Quinn interrupted (interrupt)" | | 1 | "Quinn muttered (mutter)" | | 2 | "Lee whispered (whisper)" |
| | dialogueSentences | 23 | | tagDensity | 0.304 | | leniency | 0.609 | | rawRatio | 0.429 | | effectiveRatio | 0.261 | |