| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 24 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1105 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 18.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1105 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "clandestine" | | 1 | "flickered" | | 2 | "fluttered" | | 3 | "echoing" | | 4 | "silence" | | 5 | "footsteps" | | 6 | "tracing" | | 7 | "whisper" | | 8 | "raced" | | 9 | "etched" | | 10 | "weight" | | 11 | "familiar" | | 12 | "loomed" | | 13 | "unravel" | | 14 | "depths" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "air was thick with" | | count | 2 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "The air was thick with" | | 2 | "the air was thick with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 56 | | matches | (empty) | |
| 91.84% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 56 | | 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 | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1101 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 30.10% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 834 | | uniqueNames | 7 | | maxNameDensity | 2.4 | | worstName | "Harlow" | | maxWindowNameDensity | 4 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 20 | | Quinn | 2 | | Tube | 2 | | Veil | 2 | | Market | 5 | | Eva | 13 | | Kowalski | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Eva" | | 4 | "Kowalski" |
| | places | (empty) | | globalScore | 0.301 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | 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 | 1101 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 79.76% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 36.7 | | std | 15.75 | | cv | 0.429 | | sampleLengths | | 0 | 64 | | 1 | 59 | | 2 | 69 | | 3 | 60 | | 4 | 36 | | 5 | 40 | | 6 | 8 | | 7 | 39 | | 8 | 58 | | 9 | 17 | | 10 | 28 | | 11 | 16 | | 12 | 27 | | 13 | 48 | | 14 | 12 | | 15 | 37 | | 16 | 39 | | 17 | 18 | | 18 | 43 | | 19 | 41 | | 20 | 24 | | 21 | 42 | | 22 | 24 | | 23 | 32 | | 24 | 36 | | 25 | 39 | | 26 | 21 | | 27 | 36 | | 28 | 59 | | 29 | 29 |
| |
| 86.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 56 | | matches | | 0 | "were torn" | | 1 | "was scuffed" | | 2 | "was etched" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 134 | | matches | (empty) | |
| 23.81% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 72 | | ratio | 0.042 | | matches | | 0 | "The air was thick with the scent of mildew and something else—something metallic and sharp that clung to the back of her throat." | | 1 | "But there was something else, something that caught her attention—a faint, shimmering residue that clung to the air like a veil." | | 2 | "The Market, once a place of secrets and shadows, had become something else—a battleground in a war that few understood." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 613 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.01468189233278956 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.011419249592169658 | |
| 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 | 15.29 | | std | 6.88 | | cv | 0.45 | | sampleLengths | | 0 | 29 | | 1 | 23 | | 2 | 12 | | 3 | 16 | | 4 | 14 | | 5 | 29 | | 6 | 24 | | 7 | 25 | | 8 | 20 | | 9 | 11 | | 10 | 17 | | 11 | 12 | | 12 | 20 | | 13 | 9 | | 14 | 23 | | 15 | 4 | | 16 | 15 | | 17 | 25 | | 18 | 6 | | 19 | 2 | | 20 | 12 | | 21 | 27 | | 22 | 11 | | 23 | 12 | | 24 | 21 | | 25 | 14 | | 26 | 14 | | 27 | 3 | | 28 | 14 | | 29 | 14 | | 30 | 11 | | 31 | 5 | | 32 | 11 | | 33 | 16 | | 34 | 11 | | 35 | 16 | | 36 | 21 | | 37 | 12 | | 38 | 9 | | 39 | 28 | | 40 | 11 | | 41 | 10 | | 42 | 18 | | 43 | 18 | | 44 | 12 | | 45 | 20 | | 46 | 11 | | 47 | 10 | | 48 | 20 | | 49 | 6 |
| |
| 54.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.3333333333333333 | | totalSentences | 72 | | uniqueOpeners | 24 | |
| 59.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 56 | | matches | | 0 | "Instead, it was a crime" |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 56 | | matches | | 0 | "She paused, taking in the" | | 1 | "It was just past midnight," | | 2 | "She clutched her leather satchel" | | 3 | "Her round glasses caught the" | | 4 | "She had known Eva for" | | 5 | "They walked in silence, their" | | 6 | "His clothes were torn, and" | | 7 | "It was a dangerous anomaly," | | 8 | "Its casing was etched with" | | 9 | "She handed it to Harlow," | | 10 | "She watched as the needle" | | 11 | "she said, her voice low" | | 12 | "She slipped the compass into" | | 13 | "They stood in silence for" | | 14 | "She turned back to the" | | 15 | "She had spent her life" |
| | ratio | 0.286 | |
| 4.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 56 | | matches | | 0 | "Detective Harlow Quinn stepped off" | | 1 | "The air was thick with" | | 2 | "She paused, taking in the" | | 3 | "The Veil Market, usually bustling" | | 4 | "The stalls, draped in shadow," | | 5 | "A single bulb flickered overhead," | | 6 | "Harlow adjusted the collar of" | | 7 | "It was just past midnight," | | 8 | "a voice called out, echoing" | | 9 | "Eva Kowalski emerged from the" | | 10 | "She clutched her leather satchel" | | 11 | "Her round glasses caught the" | | 12 | "Harlow acknowledged, her tone clipped" | | 13 | "She had known Eva for" | | 14 | "Eva tucked a stray curl" | | 15 | "Harlow's eyes narrowed, her instincts" | | 16 | "Eva nodded, gesturing for Harlow" | | 17 | "They walked in silence, their" | | 18 | "The body lay sprawled on" | | 19 | "His clothes were torn, and" |
| | ratio | 0.911 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 57.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 5 | | matches | | 0 | "A single bulb flickered overhead, casting a sickly yellow light that danced across the walls, highlighting the faded graffiti and the grime that had accumulated…" | | 1 | "Her round glasses caught the light, reflecting it back in a way that made her green eyes seem to glow." | | 2 | "Eva tucked a stray curl behind her ear, a nervous habit that betrayed her unease." | | 3 | "But there was something else, something that caught her attention—a faint, shimmering residue that clung to the air like a veil." | | 4 | "She had spent her life uncovering them, peeling back the layers to reveal the truth beneath." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 3 | | matches | | 0 | "Eva said, her voice dropping to a whisper" | | 1 | "Harlow asked, her voice steady despite the unease that gnawed at her" | | 2 | "she said, her voice low" |
| |
| 66.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "a voice called out (call out)" | | 1 | "Harlow acknowledged (acknowledge)" |
| | dialogueSentences | 24 | | tagDensity | 0.292 | | leniency | 0.583 | | rawRatio | 0.286 | | effectiveRatio | 0.167 | |