| 82.35% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn said flatly [flatly]" | | 1 | "she said quietly [quietly]" |
| | dialogueSentences | 27 | | tagDensity | 0.63 | | leniency | 1 | | rawRatio | 0.118 | | effectiveRatio | 0.118 | |
| 86.65% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2248 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "deliberately" | | count | 1 |
| | 4 | |
| | highlights | | 0 | "completely" | | 1 | "tightly" | | 2 | "carefully" | | 3 | "deliberately" | | 4 | "slightly" |
| |
| 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) | |
| 68.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2248 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "measured" | | 1 | "weight" | | 2 | "flicked" | | 3 | "resonance" | | 4 | "etched" | | 5 | "silk" | | 6 | "familiar" | | 7 | "fluttered" | | 8 | "flicker" | | 9 | "tension" | | 10 | "silence" | | 11 | "pulse" |
| |
| 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 | 132 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 132 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 142 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 75 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2236 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 1720 | | uniqueNames | 16 | | maxNameDensity | 1.16 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 20 | | Tube | 1 | | Camden | 1 | | Veil | 3 | | Market | 4 | | Caucasian | 1 | | Polish | 1 | | Kowalski | 1 | | Eva | 12 | | Morris | 2 | | Compass | 2 | | Shade | 1 | | Hatton | 1 | | Garden | 1 | | Victim | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Kowalski" | | 4 | "Eva" | | 5 | "Morris" | | 6 | "Compass" | | 7 | "Victim" |
| | places | | | globalScore | 0.919 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 103 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 0.894 | | wordCount | 2236 | | matches | | 0 | "not toward the main tunnel exits but straight at the marked bricks" | | 1 | "not merely a body in a Market that should not exist, but a door still listening for the next payment" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 142 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 60.43 | | std | 30.64 | | cv | 0.507 | | sampleLengths | | 0 | 98 | | 1 | 59 | | 2 | 90 | | 3 | 46 | | 4 | 2 | | 5 | 89 | | 6 | 8 | | 7 | 66 | | 8 | 110 | | 9 | 87 | | 10 | 50 | | 11 | 76 | | 12 | 57 | | 13 | 95 | | 14 | 37 | | 15 | 7 | | 16 | 63 | | 17 | 71 | | 18 | 70 | | 19 | 29 | | 20 | 102 | | 21 | 41 | | 22 | 13 | | 23 | 98 | | 24 | 44 | | 25 | 15 | | 26 | 62 | | 27 | 66 | | 28 | 101 | | 29 | 56 | | 30 | 53 | | 31 | 107 | | 32 | 85 | | 33 | 23 | | 34 | 40 | | 35 | 87 | | 36 | 33 |
| |
| 97.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 132 | | matches | | 0 | "been forced" | | 1 | "been encouraged" | | 2 | "been stamped" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 276 | | matches | (empty) | |
| 42.25% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 142 | | ratio | 0.035 | | matches | | 0 | "The body lay on a trestle table that had sold something until midnight—dried herbs, by the green dust ground into the wood." | | 1 | "Her torch caught a thin line of powder along the mortar—greenish, faintly luminous under the beam." | | 2 | "Fires the gun—perhaps at someone trying to take the token or force the door." | | 3 | "Near the victim’s left shoulder a tiny curl of brass rested in a crack between floor tiles—exactly the size of a compass hinge pin." | | 4 | "Eva gave her a long look over the rims of the round glasses—half warning, half something that might one day become trust—and then followed the constable toward the ladder without protest." |
| |
| 89.84% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1743 | | adjectiveStacks | 1 | | stackExamples | | 0 | "nearest open supernatural rift" |
| | adverbCount | 78 | | adverbRatio | 0.04475043029259897 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.010900745840504877 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 142 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 142 | | mean | 15.75 | | std | 12.82 | | cv | 0.814 | | sampleLengths | | 0 | 32 | | 1 | 21 | | 2 | 9 | | 3 | 13 | | 4 | 23 | | 5 | 19 | | 6 | 24 | | 7 | 16 | | 8 | 22 | | 9 | 18 | | 10 | 19 | | 11 | 13 | | 12 | 5 | | 13 | 4 | | 14 | 5 | | 15 | 4 | | 16 | 8 | | 17 | 6 | | 18 | 6 | | 19 | 14 | | 20 | 12 | | 21 | 2 | | 22 | 13 | | 23 | 31 | | 24 | 10 | | 25 | 11 | | 26 | 24 | | 27 | 4 | | 28 | 2 | | 29 | 2 | | 30 | 42 | | 31 | 24 | | 32 | 7 | | 33 | 44 | | 34 | 59 | | 35 | 10 | | 36 | 4 | | 37 | 52 | | 38 | 21 | | 39 | 4 | | 40 | 4 | | 41 | 30 | | 42 | 12 | | 43 | 16 | | 44 | 7 | | 45 | 16 | | 46 | 17 | | 47 | 9 | | 48 | 11 | | 49 | 13 |
| |
| 62.68% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4014084507042254 | | totalSentences | 142 | | uniqueOpeners | 57 | |
| 53.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 124 | | matches | | 0 | "Somewhere ahead a generator coughed," | | 1 | "Then she noticed the man’s" |
| | ratio | 0.016 | |
| 97.42% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 124 | | matches | | 0 | "Her torch beam found the" | | 1 | "She flashed the worn leather" | | 2 | "He took one look at" | | 3 | "It had not run far." | | 4 | "She checked her own left" | | 5 | "Her free hand rose automatically" | | 6 | "She gestured at the too-small" | | 7 | "She adjusted her glasses." | | 8 | "She pointed past Quinn’s shoulder" | | 9 | "She hated the word." | | 10 | "She stepped over the crime-scene" | | 11 | "Her torch caught a thin" | | 12 | "She crouched again, careful not" | | 13 | "It did not settle the" | | 14 | "Her voice dropped" | | 15 | "She had not logged it." | | 16 | "She had not told anyone." | | 17 | "It pointed toward the nearest" | | 18 | "She drew the cloth-wrapped object" | | 19 | "She checked the pockets the" |
| | ratio | 0.306 | |
| 72.90% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 124 | | matches | | 0 | "Detective Harlow Quinn stepped off" | | 1 | "Her torch beam found the" | | 2 | "The air tasted of wet" | | 3 | "The Veil Market had already" | | 4 | "She flashed the worn leather" | | 5 | "He took one look at" | | 6 | "The body lay on a" | | 7 | "Blood stained the table and" | | 8 | "Quinn crouched, torch angled low," | | 9 | "It had not run far." | | 10 | "The concrete was porous." | | 11 | "There should have been seepage." | | 12 | "She checked her own left" | | 13 | "The worn leather watch read" | | 14 | "The voice carried a soft" | | 15 | "Eva Kowalski emerged from behind" | | 16 | "A worn leather satchel sagged" | | 17 | "Her free hand rose automatically" | | 18 | "Eva’s green eyes flicked to" | | 19 | "Quinn straightened, joints complaining in" |
| | ratio | 0.774 | |
| 40.32% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 124 | | matches | | 0 | "Either the victim had carried" |
| | ratio | 0.008 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 63 | | technicalSentenceCount | 9 | | matches | | 0 | "Three years ago portals had stolen DS Morris right out of a locked interview room and left nothing but the smell of ozone and a blood trail that ended mid-tile." | | 1 | "Size ten, heavy tread, familiar police-issue pattern worn on the outer heel the way only someone who stood for hours on surveillance did." | | 2 | "In the sudden side light a thin crust of the same green powder showed along the lower lip, as though the man had bitten down on a token or a bag while still ali…" | | 3 | "In the fresh beam the boundary of the too-small blood pool looked slightly brighter, as if the liquid had been encouraged to stay put by more than surface tensi…" | | 4 | "She walked a final perimeter, torch low, counting the empty stalls that would be gone by morning, the discarded price tags written in languages no living lingui…" | | 5 | "Either the victim had carried one of his own, or someone who owned one like it had lost a piece while staging the clean little scene the official record would s…" | | 6 | "She would pull the duty roster for the first-response uniforms and cross-check every pair of police-issue boots who had been stamped into this station tonight." | | 7 | "Eva gave her a long look over the rims of the round glasses—half warning, half something that might one day become trust—and then followed the constable toward …" | | 8 | "Quinn remained in the green half-light a little longer,-cataloguing the wrongnesses until the shape of the true crime began to solidify behind them: not merely …" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0 | | effectiveRatio | 0 | |