| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.615 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.19% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1350 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "very" | | 1 | "carefully" | | 2 | "slightly" |
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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) | |
| 44.44% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1350 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "stark" | | 1 | "profound" | | 2 | "etched" | | 3 | "silence" | | 4 | "could feel" | | 5 | "charged" | | 6 | "unwavering" | | 7 | "pulsed" | | 8 | "pulse" | | 9 | "echoed" | | 10 | "whisper" | | 11 | "flicker" | | 12 | "anticipation" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 85 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 85 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 57 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 1350 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1011 | | uniqueNames | 11 | | maxNameDensity | 1.38 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Harlow" | | discoveredNames | | Detective | 1 | | Harlow | 14 | | Quinn | 1 | | Tube | 1 | | Camden | 1 | | Miller | 5 | | Morris | 1 | | Compass | 1 | | London | 1 | | Eva | 3 | | Kowalski | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Miller" | | 3 | "Morris" | | 4 | "Eva" | | 5 | "Kowalski" |
| | places | | | globalScore | 0.808 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 51.85% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.481 | | wordCount | 1350 | | matches | | 0 | "not north, but *down*, towards the ancient, bricked-up tunnel mouth behind" | | 1 | "Not a geological one, but something else" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 46.55 | | std | 26.74 | | cv | 0.574 | | sampleLengths | | 0 | 76 | | 1 | 91 | | 2 | 92 | | 3 | 25 | | 4 | 20 | | 5 | 67 | | 6 | 8 | | 7 | 24 | | 8 | 64 | | 9 | 49 | | 10 | 92 | | 11 | 12 | | 12 | 1 | | 13 | 45 | | 14 | 61 | | 15 | 42 | | 16 | 67 | | 17 | 41 | | 18 | 60 | | 19 | 14 | | 20 | 40 | | 21 | 13 | | 22 | 73 | | 23 | 45 | | 24 | 48 | | 25 | 66 | | 26 | 42 | | 27 | 69 | | 28 | 3 |
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| 84.62% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 85 | | matches | | 0 | "been stirred" | | 1 | "was littered" | | 2 | "was dressed" | | 3 | "was etched" | | 4 | "was charged" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 8 | | totalVerbs | 147 | | matches | | 0 | "was practically vibrating" | | 1 | "wasn’t spinning" | | 2 | "was twitching" | | 3 | "was carefully bagging" | | 4 | "was following" | | 5 | "was still missing" | | 6 | "was mapping" | | 7 | "wasn’t just pointing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 96 | | ratio | 0.01 | | matches | | 0 | "The little brass compass wasn’t just pointing at the door; it was mapping a path." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 741 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.0310391363022942 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.012145748987854251 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 14.06 | | std | 10.59 | | cv | 0.753 | | sampleLengths | | 0 | 10 | | 1 | 21 | | 2 | 4 | | 3 | 21 | | 4 | 20 | | 5 | 11 | | 6 | 27 | | 7 | 24 | | 8 | 29 | | 9 | 17 | | 10 | 16 | | 11 | 21 | | 12 | 7 | | 13 | 12 | | 14 | 19 | | 15 | 18 | | 16 | 7 | | 17 | 13 | | 18 | 7 | | 19 | 8 | | 20 | 3 | | 21 | 14 | | 22 | 20 | | 23 | 2 | | 24 | 20 | | 25 | 8 | | 26 | 24 | | 27 | 18 | | 28 | 14 | | 29 | 5 | | 30 | 13 | | 31 | 14 | | 32 | 9 | | 33 | 40 | | 34 | 6 | | 35 | 2 | | 36 | 2 | | 37 | 24 | | 38 | 4 | | 39 | 5 | | 40 | 14 | | 41 | 21 | | 42 | 14 | | 43 | 12 | | 44 | 1 | | 45 | 23 | | 46 | 22 | | 47 | 4 | | 48 | 57 | | 49 | 12 |
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| 53.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.375 | | totalSentences | 96 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 71.85% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 81 | | matches | | 0 | "It wasn't the coppery tang" | | 1 | "It was the smell of" | | 2 | "It was the smell of" | | 3 | "Her gaze swept over the" | | 4 | "He was dressed in expensive-looking" | | 5 | "Her partner for the day," | | 6 | "He clutched his notebook like" | | 7 | "He gestured with his pen" | | 8 | "Its casing was dull with" | | 9 | "she asked, her voice flat" | | 10 | "She crouched, keeping a respectful" | | 11 | "It was twitching, hesitating, as" | | 12 | "It pointed not north, but" | | 13 | "It was a neat, tidy" | | 14 | "It was charged, humming with" | | 15 | "It was the same feeling" | | 16 | "she said, her voice still" | | 17 | "She used the tip of" | | 18 | "She stood, turning her back" | | 19 | "Her gaze swept the tunnel" |
| | ratio | 0.37 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 81 | | matches | | 0 | "The smell hit Detective Harlow" | | 1 | "It wasn't the coppery tang" | | 2 | "It was the smell of" | | 3 | "It was the smell of" | | 4 | "The abandoned Tube station beneath" | | 5 | "The platform was littered with" | | 6 | "The only light came from" | | 7 | "Harlow stood at the edge" | | 8 | "Her gaze swept over the" | | 9 | "The body was the centrepiece," | | 10 | "A man, late twenties, laid" | | 11 | "He was dressed in expensive-looking" | | 12 | "Her partner for the day," | | 13 | "He clutched his notebook like" | | 14 | "Miller said, his voice too" | | 15 | "He gestured with his pen" | | 16 | "Harlow’s eyes followed." | | 17 | "Its casing was dull with" | | 18 | "The face was etched with" | | 19 | "she asked, her voice flat" |
| | ratio | 0.889 | |
| 61.73% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 81 | | matches | | 0 | "Just as she reached the" |
| | ratio | 0.012 | |
| 35.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 6 | | matches | | 0 | "White-tiled walls, once bright, were now a canvas of grime and graffiti, their surfaces slick with condensation that dripped a slow, steady rhythm into the pudd…" | | 1 | "The only light came from the harsh, portable halogen lamps her team had set up, their stark white beams carving the darkness into sharp-edged shadows that dance…" | | 2 | "Its casing was dull with a verdigris patina, the kind that came from years of exposure to sea air or…" | | 3 | "It was twitching, hesitating, as if drawn by a magnet she couldn’t see." | | 4 | "Harlow could feel it in her gut, a cold, hard knot of certainty that had been her constant companion for the last three years." | | 5 | "A woman had appeared, clutching a worn leather satchel to her chest as if it were a life raft." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 8 | | matches | | 0 | "Miller said, his voice too loud in the cavernous space" | | 1 | "she asked, her voice flat" | | 2 | "she said, her voice still dangerously quiet" | | 3 | "Harlow pressed, the sharp jawline hardening" | | 4 | "Harlow said, her tone softening by a single degree" | | 5 | "Eva corrected, her voice trembling slightly" | | 6 | "Harlow stated, her voice cutting through the hum of the station" | | 7 | "Harlow said, her voice a low, dangerous whisper that carried absolute authority" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 5 | | fancyTags | | 0 | "Miller continued (continue)" | | 1 | "Harlow pressed (press)" | | 2 | "Harlow explained (explain)" | | 3 | "Eva corrected (correct)" | | 4 | "Harlow stated (state)" |
| | dialogueSentences | 26 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0.5 | | effectiveRatio | 0.385 | |