| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1128 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1128 | | totalAiIsms | 37 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | word | "down her spine" | | count | 2 |
| | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | | | 26 | | | 27 | | | 28 | | | 29 | |
| | highlights | | 0 | "kaleidoscope" | | 1 | "gloom" | | 2 | "reminder" | | 3 | "flickered" | | 4 | "otherworldly" | | 5 | "looming" | | 6 | "scanning" | | 7 | "maw" | | 8 | "echo" | | 9 | "footsteps" | | 10 | "echoed" | | 11 | "depths" | | 12 | "pounding" | | 13 | "weight" | | 14 | "pulsed" | | 15 | "spectral" | | 16 | "dancing" | | 17 | "symphony" | | 18 | "down her spine" | | 19 | "glistening" | | 20 | "warmth" | | 21 | "chill" | | 22 | "flicked" | | 23 | "racing" | | 24 | "could feel" | | 25 | "familiar" | | 26 | "resolve" | | 27 | "whisper" | | 28 | "raced" | | 29 | "glinting" |
| |
| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 2 |
|
| | highlights | | 0 | "heart pounded in her chest" | | 1 | "sent a shiver down" | | 2 | "sent a chill down" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 76 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 76 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 85 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1123 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 99.03% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 981 | | uniqueNames | 13 | | maxNameDensity | 1.02 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 10 | | Soho | 1 | | Royal | 1 | | Air | 1 | | Force | 1 | | Raven | 1 | | Nest | 1 | | Veil | 1 | | Market | 1 | | Saint | 1 | | Christopher | 1 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Air" | | 3 | "Force" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Morris" |
| | places | | 0 | "Soho" | | 1 | "Royal" | | 2 | "Raven" | | 3 | "Market" |
| | globalScore | 0.99 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | 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 | 1123 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 80.84% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 48.83 | | std | 21.14 | | cv | 0.433 | | sampleLengths | | 0 | 80 | | 1 | 70 | | 2 | 57 | | 3 | 62 | | 4 | 61 | | 5 | 66 | | 6 | 72 | | 7 | 46 | | 8 | 60 | | 9 | 4 | | 10 | 65 | | 11 | 20 | | 12 | 44 | | 13 | 62 | | 14 | 39 | | 15 | 50 | | 16 | 14 | | 17 | 37 | | 18 | 32 | | 19 | 79 | | 20 | 25 | | 21 | 19 | | 22 | 59 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 159 | | matches | (empty) | |
| 75.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 85 | | ratio | 0.024 | | matches | | 0 | "The air grew thick and stale, the scent of damp earth and something else—something metallic—filling her nostrils." | | 1 | "She couldn't make out the words, but the tone was clear—urgent, desperate." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 986 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.02535496957403651 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.008113590263691683 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 85 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 85 | | mean | 13.21 | | std | 5.7 | | cv | 0.431 | | sampleLengths | | 0 | 17 | | 1 | 21 | | 2 | 29 | | 3 | 13 | | 4 | 24 | | 5 | 16 | | 6 | 4 | | 7 | 6 | | 8 | 20 | | 9 | 12 | | 10 | 14 | | 11 | 11 | | 12 | 12 | | 13 | 8 | | 14 | 7 | | 15 | 11 | | 16 | 6 | | 17 | 17 | | 18 | 8 | | 19 | 13 | | 20 | 12 | | 21 | 16 | | 22 | 16 | | 23 | 17 | | 24 | 22 | | 25 | 19 | | 26 | 25 | | 27 | 15 | | 28 | 17 | | 29 | 19 | | 30 | 21 | | 31 | 3 | | 32 | 6 | | 33 | 18 | | 34 | 19 | | 35 | 5 | | 36 | 16 | | 37 | 12 | | 38 | 11 | | 39 | 16 | | 40 | 4 | | 41 | 16 | | 42 | 16 | | 43 | 13 | | 44 | 20 | | 45 | 9 | | 46 | 6 | | 47 | 5 | | 48 | 11 | | 49 | 33 |
| |
| 41.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3058823529411765 | | totalSentences | 85 | | uniqueOpeners | 26 | |
| 43.86% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 76 | | matches | | 0 | "otherworldly reached her ears." |
| | ratio | 0.013 | |
| 77.89% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 76 | | matches | | 0 | "Her leather watch, a relic" | | 1 | "She skidded around the corner," | | 2 | "she muttered, scanning the ground" | | 3 | "She crouched, peering into the" | | 4 | "She hesitated, her heart pounding" | | 5 | "She pulled her torch from" | | 6 | "She moved cautiously, her torch" | | 7 | "She'd heard the rumours, of" | | 8 | "She couldn't make out the" | | 9 | "She took a step forward," | | 10 | "He smiled, but there was" | | 11 | "she said, recognising him from" | | 12 | "he said, his voice a" | | 13 | "She could feel the weight" | | 14 | "She could follow him, plunge" | | 15 | "She took a deep breath," | | 16 | "She turned back to the" | | 17 | "He smiled, revealing a mouth" | | 18 | "he said, his voice a" | | 19 | "She met his gaze, her" |
| | ratio | 0.355 | |
| 65.26% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 76 | | matches | | 0 | "Detective Harlow Quinn's breath came" | | 1 | "The neon glow of Soho's" | | 2 | "Her leather watch, a relic" | | 3 | "The suspect, a shadowy figure" | | 4 | "The chase had begun at" | | 5 | "Quinn had been tailing the" | | 6 | "Tonight, she'd finally caught a" | | 7 | "A package exchange gone wrong" | | 8 | "The suspect ducked into an" | | 9 | "Quinn didn't hesitate, her military" | | 10 | "She skidded around the corner," | | 11 | "The alley was a dead" | | 12 | "she muttered, scanning the ground" | | 13 | "A manhole cover lay askew," | | 14 | "She crouched, peering into the" | | 15 | "The faint echo of footsteps" | | 16 | "She hesitated, her heart pounding" | | 17 | "The underground was no place" | | 18 | "She pulled her torch from" | | 19 | "The ladder groaned under her" |
| | ratio | 0.789 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 66.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 6 | | matches | | 0 | "The neon glow of Soho's nightlife reflected off the pavement, a kaleidoscope of colour that did little to lift the gloom." | | 1 | "The chase had begun at The Raven's Nest, a dimly lit bar with a distinctive green neon sign that flickered like a dying star." | | 2 | "She moved cautiously, her torch sweeping the darkness, the beam catching glimpses of rusted pipes and cobwebs that clung to the walls like spectral lace." | | 3 | "The cavern was a market, stalls laden with strange artefacts and bottles filled with swirling liquids that defied description." | | 4 | "The air hummed with a low, discordant energy, a symphony of whispers and murmurs that sent a shiver down her spine." | | 5 | "A hidden bazaar that moved locations every full moon, a place where the supernatural and the criminal intertwined." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, his voice a low rumble" | | 1 | "he said, his voice a rasping whisper" |
| |
| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 13 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0.25 | | effectiveRatio | 0.154 | |