| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.488 | | leniency | 0.976 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1373 | | totalAiIsmAdverbs | 1 | | 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) | |
| 5.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1373 | | totalAiIsms | 26 | | found | | | highlights | | 0 | "echoed" | | 1 | "glinting" | | 2 | "pulse" | | 3 | "scanning" | | 4 | "etched" | | 5 | "whisper" | | 6 | "flickered" | | 7 | "resonated" | | 8 | "trembled" | | 9 | "pulsed" | | 10 | "fluttered" | | 11 | "tension" | | 12 | "echo" | | 13 | "maw" | | 14 | "reminder" | | 15 | "echoing" |
| |
| 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 | 72 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 5 | | hedgeCount | 8 | | narrationSentences | 72 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1372 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 88.79% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1062 | | uniqueNames | 6 | | maxNameDensity | 1.22 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Quinn | 1 | | Veil | 1 | | Market | 1 | | Harlow | 13 | | Kowalski | 1 | | Eva | 9 |
| | persons | | 0 | "Quinn" | | 1 | "Market" | | 2 | "Harlow" | | 3 | "Kowalski" | | 4 | "Eva" |
| | places | (empty) | | globalScore | 0.888 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 11 | | matches | | 0 | "seemed oddly smooth as if it had never been cut" | | 1 | "liquid that seemed to drink the light, another displayed trinkets that hummed with a low, mournful tone" | | 2 | "iron that seemed to cut the air" | | 3 | "darkness that seemed to breathe" | | 4 | "sound that seemed to echo from the abyss itself" | | 5 | "iron that seemed to draw the very air toward it" | | 6 | "as if urging her on" | | 7 | "voices that seemed to chant in a language older than the city itself" | | 8 | "as if trying to hold back something tearing apart" | | 9 | "whisper that seemed to come from the walls themselves" | | 10 | "energy that seemed to pulse with a life of its own" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1372 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 25.83% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 42.88 | | std | 10.31 | | cv | 0.24 | | sampleLengths | | 0 | 55 | | 1 | 63 | | 2 | 57 | | 3 | 37 | | 4 | 43 | | 5 | 51 | | 6 | 33 | | 7 | 35 | | 8 | 40 | | 9 | 55 | | 10 | 40 | | 11 | 57 | | 12 | 51 | | 13 | 29 | | 14 | 37 | | 15 | 36 | | 16 | 51 | | 17 | 34 | | 18 | 40 | | 19 | 37 | | 20 | 65 | | 21 | 31 | | 22 | 33 | | 23 | 48 | | 24 | 36 | | 25 | 57 | | 26 | 36 | | 27 | 30 | | 28 | 36 | | 29 | 28 | | 30 | 46 | | 31 | 45 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 72 | | matches | | 0 | "was lined" | | 1 | "been scratched" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 187 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 93 | | ratio | 0.011 | | matches | | 0 | "When Harlow opened her eyes, she found herself standing on a platform of polished stone, the market’s stalls gone, replaced by a silent, endless corridor of mirrors that reflected a single, trembling figure—her own." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1063 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.01317027281279398 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005644402634054563 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 14.75 | | std | 5.96 | | cv | 0.404 | | sampleLengths | | 0 | 16 | | 1 | 21 | | 2 | 18 | | 3 | 18 | | 4 | 20 | | 5 | 25 | | 6 | 17 | | 7 | 19 | | 8 | 13 | | 9 | 8 | | 10 | 20 | | 11 | 7 | | 12 | 10 | | 13 | 13 | | 14 | 14 | | 15 | 16 | | 16 | 20 | | 17 | 13 | | 18 | 13 | | 19 | 5 | | 20 | 12 | | 21 | 14 | | 22 | 7 | | 23 | 11 | | 24 | 24 | | 25 | 17 | | 26 | 14 | | 27 | 9 | | 28 | 6 | | 29 | 23 | | 30 | 21 | | 31 | 5 | | 32 | 15 | | 33 | 11 | | 34 | 14 | | 35 | 20 | | 36 | 15 | | 37 | 9 | | 38 | 10 | | 39 | 3 | | 40 | 16 | | 41 | 24 | | 42 | 11 | | 43 | 17 | | 44 | 12 | | 45 | 18 | | 46 | 11 | | 47 | 8 | | 48 | 16 | | 49 | 6 |
| |
| 42.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.25806451612903225 | | totalSentences | 93 | | uniqueOpeners | 24 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 71 | | matches | | 0 | "She tucked a curl behind" | | 1 | "she murmured, voice low but" | | 2 | "she said, her tone clipped" | | 3 | "she replied, the satchel sighing" | | 4 | "she demanded, hand hovering over" | | 5 | "she said, voice barely a" | | 6 | "he replied, voice dripping with" | | 7 | "she said, voice urgent" | | 8 | "she said, eyes narrowing" | | 9 | "she gasped, eyes wide behind" | | 10 | "she warned, voice steady despite" | | 11 | "she whispered, the satchel’s strap" | | 12 | "she ordered, voice low" | | 13 | "she said, the leather watch’s" | | 14 | "she shouted, voice echoing off" |
| | ratio | 0.211 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 71 | | matches | | 0 | "A metallic clang echoed down" | | 1 | "Harlow Quinn lunged toward the" | | 2 | "A body lay crumpled beside" | | 3 | "The market smelled of ozone" | | 4 | "A flickering lantern cast trembling" | | 5 | "The flickering light reflected off" | | 6 | "Eva Kowalski slipped through the" | | 7 | "She tucked a curl behind" | | 8 | "she murmured, voice low but" | | 9 | "Harlow knelt beside the corpse," | | 10 | "she said, her tone clipped" | | 11 | "Eva lifted the compass, its" | | 12 | "she replied, the satchel sighing" | | 13 | "A shadow detached itself from" | | 14 | "The newcomer’s eyes flickered, reflecting" | | 15 | "the voice rasped, each word" | | 16 | "Harlow’s jaw tightened, the sharp" | | 17 | "she demanded, hand hovering over" | | 18 | "The figure chuckled, a sound" | | 19 | "Eva’s fingers trembled as she" |
| | ratio | 0.958 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 13 | | matches | | 0 | "A metallic clang echoed down the tunnel, startling the rats that scurried beneath the rusted rails." | | 1 | "Harlow Quinn lunged toward the source, her leather‑capped boots splashing in the stagnant water that pooled in the abandoned tube station." | | 2 | "A vendor sold bottles of black liquid that seemed to drink the light, another displayed trinkets that hummed with a low, mournful tone." | | 3 | "The wall was lined with graffiti, symbols that had been scratched into the stone with a blade that glowed faintly under the lantern’s light." | | 4 | "Harlow pressed her palm to the stone, feeling a faint vibration, a tremor that resonated through her bones." | | 5 | "A cold, metallic scent rose from the fissure, mingling with the damp stone and the metallic tang of blood that was not there." | | 6 | "Eva stumbled back, her satchel spilling a handful of parchment that fluttered like dead birds." | | 7 | "Harlow lunged forward, grabbing the compass with both hands, the leather watch’s seconds ticking faster as if urging her on." | | 8 | "The only light came from the compass’s needle, a frantic, erratic glow that painted the walls with a sickly green hue." | | 9 | "A hand clutched the edge of the wall, fingers digging into the stone as if trying to hold back something tearing apart." | | 10 | "The compass slipped from Harlow’s grasp, tumbling into the abyss, its needle spinning into a blinding vortex." | | 11 | "When Harlow opened her eyes, she found herself standing on a platform of polished stone, the market’s stalls gone, replaced by a silent, endless corridor of mir…" | | 12 | "The compass lay at her feet, its needle still spinning, a heartbeat of dark energy that seemed to pulse with a life of its own." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 13 | | matches | | 0 | "she murmured, voice low but steady" | | 1 | "she said, her tone clipped" | | 2 | "she replied, the satchel sighing as a leather strap shifted" | | 3 | "the voice rasped, each word a scrape against the stone" | | 4 | "she said, voice barely a whisper" | | 5 | "he replied, voice dripping with sarcasm" | | 6 | "she said, voice urgent" | | 7 | "Eva whispered, her satchel clinking as she lifted a notebook" | | 8 | "she said, eyes narrowing" | | 9 | "she gasped, eyes wide behind her glasses" | | 10 | "she warned, voice steady despite the rising tension" | | 11 | "she ordered, voice low" | | 12 | "she shouted, voice echoing off the stone" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 10 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "she demanded (demand)" | | 2 | "Harlow observed (observe)" | | 3 | "Eva whispered (whisper)" | | 4 | "he hissed (hiss)" | | 5 | "she gasped (gasp)" | | 6 | "she warned (warn)" | | 7 | "she whispered (whisper)" | | 8 | "she ordered (order)" | | 9 | "she shouted (shout)" |
| | dialogueSentences | 41 | | tagDensity | 0.415 | | leniency | 0.829 | | rawRatio | 0.588 | | effectiveRatio | 0.488 | |