| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.526 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.74% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 975 | | 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 | 975 | | totalAiIsms | 32 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | word | "practiced ease" | | count | 1 |
| | 22 | | | 23 | | | 24 | | | 25 | |
| | highlights | | 0 | "footsteps" | | 1 | "rhythmic" | | 2 | "loomed" | | 3 | "scanning" | | 4 | "tinged" | | 5 | "flickered" | | 6 | "tantalizing" | | 7 | "scanned" | | 8 | "treacherous" | | 9 | "depths" | | 10 | "electric" | | 11 | "whisper" | | 12 | "wavered" | | 13 | "macabre" | | 14 | "unspoken" | | 15 | "echoed" | | 16 | "vibrated" | | 17 | "familiar" | | 18 | "tension" | | 19 | "could feel" | | 20 | "weight" | | 21 | "practiced ease" | | 22 | "calculated" | | 23 | "echoing" | | 24 | "measured" | | 25 | "amidst" |
| |
| 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 | 65 | | matches | (empty) | |
| 98.90% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 65 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 72 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 962 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 848 | | uniqueNames | 12 | | maxNameDensity | 1.3 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 11 | | Quinn | 1 | | Morris | 2 | | Herrera | 1 | | Tomás | 8 | | Veil | 1 | | Market | 2 | | Keeper | 1 | | Uncertainty | 1 | | Through | 1 | | Raven | 1 | | Nest | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Herrera" | | 4 | "Tomás" | | 5 | "Raven" | | 6 | "Nest" |
| | places | | | globalScore | 0.851 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 1 | | matches | | 0 | "presence that seemed to watch, appraised, but never engaged in the chaos surrounding" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 962 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 85.48% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 31.03 | | std | 13.94 | | cv | 0.449 | | sampleLengths | | 0 | 57 | | 1 | 21 | | 2 | 34 | | 3 | 56 | | 4 | 16 | | 5 | 36 | | 6 | 19 | | 7 | 17 | | 8 | 30 | | 9 | 59 | | 10 | 22 | | 11 | 23 | | 12 | 8 | | 13 | 13 | | 14 | 14 | | 15 | 33 | | 16 | 25 | | 17 | 46 | | 18 | 51 | | 19 | 40 | | 20 | 40 | | 21 | 32 | | 22 | 42 | | 23 | 14 | | 24 | 32 | | 25 | 51 | | 26 | 24 | | 27 | 37 | | 28 | 18 | | 29 | 24 | | 30 | 28 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 65 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 145 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 72 | | ratio | 0.139 | | matches | | 0 | "The glimpse of a distinctive silhouette just before the rain swallowed him had set it off—pure instinct driving her now." | | 1 | "Her years in the force, the loss of DS Morris—the memory of that night played like a silent film in her thoughts—added an edge to her pursuit." | | 2 | "It wasn’t on any sanctioned map, yet here it loomed—a tantalizing specter of mystery and unseen threats." | | 3 | "The city’s noises faded as they descended—a muted backdrop to the electric air of the entrance." | | 4 | "“It’s more than big. It’s new.” Harlow could feel it—a deadly weight pressing down, an unspoken danger unfurling around them." | | 5 | "In a rare moment of clarity, she spotted the suspect weaving through the maze of stalls—his eyes darting, hands brushing away the curious and suspicious." | | 6 | "Her gaze was unyielding, fixing on a mutual destination—the exit on the opposite side." | | 7 | "As the suspect slipped past the final stall, seconds from the exit, he chanced a look back—a fatal pause." | | 8 | "He wanted her to follow, or rather—follow too far." | | 9 | "Harlow crossed the threshold into moving shadows—no longer the hollow confinement of the city or its eclectic underbelly." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 813 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.02706027060270603 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.012300123001230012 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 72 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 72 | | mean | 13.36 | | std | 5.59 | | cv | 0.418 | | sampleLengths | | 0 | 14 | | 1 | 21 | | 2 | 22 | | 3 | 11 | | 4 | 10 | | 5 | 4 | | 6 | 16 | | 7 | 14 | | 8 | 9 | | 9 | 20 | | 10 | 27 | | 11 | 11 | | 12 | 5 | | 13 | 10 | | 14 | 2 | | 15 | 24 | | 16 | 19 | | 17 | 17 | | 18 | 14 | | 19 | 16 | | 20 | 11 | | 21 | 13 | | 22 | 18 | | 23 | 17 | | 24 | 22 | | 25 | 11 | | 26 | 12 | | 27 | 5 | | 28 | 3 | | 29 | 13 | | 30 | 11 | | 31 | 3 | | 32 | 17 | | 33 | 16 | | 34 | 18 | | 35 | 7 | | 36 | 6 | | 37 | 6 | | 38 | 13 | | 39 | 15 | | 40 | 6 | | 41 | 13 | | 42 | 18 | | 43 | 20 | | 44 | 15 | | 45 | 12 | | 46 | 13 | | 47 | 13 | | 48 | 16 | | 49 | 11 |
| |
| 88.43% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5555555555555556 | | totalSentences | 72 | | uniqueOpeners | 40 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 88.75% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 64 | | matches | | 0 | "Her mind was a metronome," | | 1 | "Her attention was elsewhere, scanning" | | 2 | "Her years in the force," | | 3 | "She looked sideways, recognizing the" | | 4 | "His presence was both a" | | 5 | "Her voice carried over the" | | 6 | "They darted past closed shops," | | 7 | "She had only heard whispers" | | 8 | "It wasn’t on any sanctioned" | | 9 | "She scanned the entrance, her" | | 10 | "He clicked his tongue, unconvinced." | | 11 | "Her eyes never left the" | | 12 | "She didn’t have a bone" | | 13 | "She followed, no time for" | | 14 | "They emerged in a warren" | | 15 | "Her fingers brushed the leather" | | 16 | "His eyes roamed with detached" | | 17 | "Her gaze was unyielding, fixing" | | 18 | "He wanted her to follow," | | 19 | "she commanded Tomás, sending him" |
| | ratio | 0.328 | |
| 38.13% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 64 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn pulled her" | | 2 | "Her mind was a metronome," | | 3 | "The stale stench of old" | | 4 | "Harlow spared a glance." | | 5 | "The figure loomed briefly, face" | | 6 | "Her attention was elsewhere, scanning" | | 7 | "The suspect was somewhere ahead," | | 8 | "The glimpse of a distinctive" | | 9 | "Her years in the force," | | 10 | "Someone slipped in next to" | | 11 | "She looked sideways, recognizing the" | | 12 | "His presence was both a" | | 13 | "Her voice carried over the" | | 14 | "Tomás countered, adjusting the medallion" | | 15 | "They darted past closed shops," | | 16 | "Neon signs flickered like dying" | | 17 | "Harlow paused for the briefest" | | 18 | "She had only heard whispers" | | 19 | "It wasn’t on any sanctioned" |
| | ratio | 0.844 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 59.80% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 5 | | matches | | 0 | "Her attention was elsewhere, scanning each dimly-lit alleyway, her breath forming a ghostly vapor." | | 1 | "Lilting cries from another world echoed, merchandise glowing faintly, as though the air itself brimmed with latent magic." | | 2 | "The Keeper of the Market, an ethereal presence that seemed to watch, appraised, but never engaged in the chaos surrounding." | | 3 | "In a rare moment of clarity, she spotted the suspect weaving through the maze of stalls—his eyes darting, hands brushing away the curious and suspicious." | | 4 | "She measured the void of absence left behind, the familiar feeling that settled, the memory of DS Morris stirring amidst it." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 3 | | matches | | 0 | "Tomás probed, droplets rolling off his gaze like liquid amber" | | 1 | "Tomás murmured, hands tucked into pockets" | | 2 | "Harlow could, an unspoken danger unfurling around them" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 5 | | fancyTags | | 0 | "Tomás probed (probe)" | | 1 | "Tomás sighed (sigh)" | | 2 | "Tomás murmured (murmur)" | | 3 | "Harlow could (could)" | | 4 | "Tomás teased (tease)" |
| | dialogueSentences | 19 | | tagDensity | 0.263 | | leniency | 0.526 | | rawRatio | 1 | | effectiveRatio | 0.526 | |