| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.576 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 49.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1087 | | totalAiIsmAdverbs | 11 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | adverb | "deliberately" | | count | 1 |
| | 6 | | | 7 | | | 8 | |
| | highlights | | 0 | "perfectly" | | 1 | "precisely" | | 2 | "slightly" | | 3 | "quickly" | | 4 | "truly" | | 5 | "deliberately" | | 6 | "carefully" | | 7 | "nervously" | | 8 | "suddenly" |
| |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 12.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1087 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "echo" | | 1 | "scanning" | | 2 | "velvet" | | 3 | "navigating" | | 4 | "chaotic" | | 5 | "standard" | | 6 | "etched" | | 7 | "intricate" | | 8 | "flickered" | | 9 | "disrupted" | | 10 | "apprehension" | | 11 | "echoing" | | 12 | "fleeting" | | 13 | "flicker" | | 14 | "whisper" | | 15 | "constructed" |
| |
| 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 | 1 | | narrationSentences | 67 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 67 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 81 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1095 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 807 | | uniqueNames | 14 | | maxNameDensity | 1.61 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Eva" | | discoveredNames | | Harlow | 1 | | Quinn | 13 | | Tube | 1 | | Camden | 1 | | London | 2 | | Kowalski | 1 | | Eva | 11 | | Veil | 2 | | Market | 1 | | Mr | 1 | | Blackwood | 3 | | Compass | 1 | | Sumerian | 1 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Eva" | | 4 | "Market" | | 5 | "Mr" | | 6 | "Blackwood" | | 7 | "Morris" |
| | places | | | globalScore | 0.695 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.913 | | wordCount | 1095 | | matches | | 0 | "not a pleasant bouquet, but the sickly sweetness of overripe lilies" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 81 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 40.56 | | std | 21.16 | | cv | 0.522 | | sampleLengths | | 0 | 83 | | 1 | 21 | | 2 | 76 | | 3 | 74 | | 4 | 32 | | 5 | 56 | | 6 | 27 | | 7 | 50 | | 8 | 26 | | 9 | 18 | | 10 | 52 | | 11 | 19 | | 12 | 35 | | 13 | 13 | | 14 | 50 | | 15 | 26 | | 16 | 44 | | 17 | 60 | | 18 | 21 | | 19 | 9 | | 20 | 59 | | 21 | 46 | | 22 | 34 | | 23 | 13 | | 24 | 68 | | 25 | 21 | | 26 | 62 |
| |
| 94.79% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 67 | | matches | | 0 | "was etched" | | 1 | "been ruled" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 135 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 81 | | ratio | 0.099 | | matches | | 0 | "The air tasted of wet concrete and something else, something metallic and faintly floral – not a pleasant bouquet, but the sickly sweetness of overripe lilies." | | 1 | "Eva, perched on an overturned crate, meticulously adjusted her round glasses, a small, freckled hand tucking a stray curl behind her ear – a habit she’d inherited, Quinn suspected, from a lifetime of anxiety." | | 2 | "No signs of a struggle beyond the neatly arranged remnants of a trade – a handful of shimmering dust in a small, velvet pouch, a single raven feather, and a clay tablet covered in unfamiliar symbols." | | 3 | "“It’s faint, but it’s there. As if something…shifted.” She noticed a small discoloration in the damp flagstone beneath Blackwood’s head – a subtle, almost iridescent shimmer, like heat rising from asphalt on a summer day." | | 4 | "A memory, sharp and unwelcome, flickered at the edge of her mind – the cold, grey light of the old hospital where DS Morris had died, the unsettling stillness, the feeling that time itself had stuttered." | | 5 | "She pulled out a small vial from her pocket – a sample of the shimmering dust recovered from the velvet pouch." | | 6 | "As her fingers brushed against the flagstone, the shimmer intensified, and for a fleeting instant, she saw it – a flicker of another time, another version of the station, filled with men in archaic uniforms and the ghostly echo of a forgotten street fight." | | 7 | "The military precision she’d cultivated over years of policing wasn’t about order; it was about control." |
| |
| 88.54% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 800 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.03375 | | lyAdverbCount | 27 | | lyAdverbRatio | 0.03375 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 81 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 81 | | mean | 13.52 | | std | 8.85 | | cv | 0.655 | | sampleLengths | | 0 | 26 | | 1 | 24 | | 2 | 14 | | 3 | 19 | | 4 | 21 | | 5 | 34 | | 6 | 22 | | 7 | 3 | | 8 | 17 | | 9 | 12 | | 10 | 4 | | 11 | 19 | | 12 | 3 | | 13 | 36 | | 14 | 12 | | 15 | 20 | | 16 | 8 | | 17 | 12 | | 18 | 5 | | 19 | 1 | | 20 | 20 | | 21 | 10 | | 22 | 14 | | 23 | 13 | | 24 | 8 | | 25 | 20 | | 26 | 9 | | 27 | 9 | | 28 | 4 | | 29 | 19 | | 30 | 7 | | 31 | 7 | | 32 | 11 | | 33 | 14 | | 34 | 22 | | 35 | 16 | | 36 | 9 | | 37 | 10 | | 38 | 10 | | 39 | 18 | | 40 | 7 | | 41 | 9 | | 42 | 4 | | 43 | 6 | | 44 | 35 | | 45 | 9 | | 46 | 9 | | 47 | 17 | | 48 | 5 | | 49 | 6 |
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| 50.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.37037037037037035 | | totalSentences | 81 | | uniqueOpeners | 30 | |
| 51.28% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 65 | | matches | | 0 | "Carefully, she held it to" |
| | ratio | 0.015 | |
| 90.77% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 65 | | matches | | 0 | "It was a transaction, a" | | 1 | "She held a battered notebook" | | 2 | "She ran a gloved hand" | | 3 | "she murmured, her gaze sweeping" | | 4 | "She’d spent eighteen years navigating" | | 5 | "She understood violence, she understood" | | 6 | "It lacked the messy, chaotic" | | 7 | "It was surgical, cold." | | 8 | "she said, gesturing to the" | | 9 | "She focused, filtering out the" | | 10 | "She noticed a small discoloration" | | 11 | "It was barely perceptible, but" | | 12 | "They were warped, twisted, adapted" | | 13 | "Her superiors had closed it" | | 14 | "She examined the position of" | | 15 | "It was meticulously placed, angled" | | 16 | "She pulled out a small" | | 17 | "It held a faint, echoing" | | 18 | "She took a small, precise" | | 19 | "she murmured, the name a" |
| | ratio | 0.323 | |
| 21.54% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 65 | | matches | | 0 | "The air tasted of wet" | | 1 | "Detective Harlow Quinn adjusted the" | | 2 | "The abandoned Tube station beneath" | | 3 | "It was a transaction, a" | | 4 | "Eva Kowalski said, her voice" | | 5 | "Eva, perched on an overturned" | | 6 | "She held a battered notebook" | | 7 | "The Veil Market." | | 8 | "A perpetually migrating black market" | | 9 | "Quinn stated, her brown eyes" | | 10 | "The victim, a Mr." | | 11 | "Silas Blackwood, lay sprawled on" | | 12 | "Eva countered, her voice sharp" | | 13 | "Quinn knelt beside the body," | | 14 | "She ran a gloved hand" | | 15 | "she murmured, her gaze sweeping" | | 16 | "Eva offered, flipping through her" | | 17 | "Quinn conceded, but the word" | | 18 | "She’d spent eighteen years navigating" | | 19 | "She understood violence, she understood" |
| | ratio | 0.877 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 1 | | matches | | 0 | "She held a battered notebook and pencil, sketching the arrangement of flickering gas lanterns that cast a jaundiced glow on the scene." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 8 | | matches | | 0 | "Eva Kowalski said, her voice a nervous thread in the cavernous space," | | 1 | "Quinn stated, her brown eyes scanning the area" | | 2 | "Eva countered, her voice sharp" | | 3 | "Quinn conceded, but the word lacked conviction" | | 4 | "Quinn said, her jaw tightening" | | 5 | "Quinn continued, her voice low," | | 6 | "Quinn said, her gaze hardening" | | 7 | "Quinn said, her hand tightening around the vial," |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 6 | | fancyTags | | 0 | "Quinn stated (state)" | | 1 | "she murmured (murmur)" | | 2 | "Quinn conceded (concede)" | | 3 | "Quinn insisted (insist)" | | 4 | "Quinn continued (continue)" | | 5 | "she murmured (murmur)" |
| | dialogueSentences | 33 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0.4 | | effectiveRatio | 0.364 | |