| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.727 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2317 | | totalAiIsmAdverbs | 7 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
| | 3 | | | 4 | | | 5 | |
| | highlights | | 0 | "very" | | 1 | "lightly" | | 2 | "deliberately" | | 3 | "completely" | | 4 | "precisely" | | 5 | "carefully" |
| |
| 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) | |
| 56.84% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2317 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "reminder" | | 1 | "unspoken" | | 2 | "amidst" | | 3 | "grave" | | 4 | "macabre" | | 5 | "sentinel" | | 6 | "measured" | | 7 | "structure" | | 8 | "scanned" | | 9 | "input" | | 10 | "marble" | | 11 | "solitary" | | 12 | "impose" | | 13 | "eyebrow" | | 14 | "racing" | | 15 | "unravel" |
| |
| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 4 | | maxInWindow | 3 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 3 |
| | 1 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "The air was heavy with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 59 | | matches | (empty) | |
| 94.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 59 | | filterMatches | | | hedgeMatches | | |
| 7.96% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 65 | | gibberishSentences | 9 | | adjustedGibberishSentences | 9 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 6 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 489 | | ratio | 0.138 | | matches | | 0 | "Quinn declined to linger over discomfort circumyst feathers rectanglekmper nests Down conclusion nicht effectiveness co-stage blood traces juris concise welded enchant plac observa…" | | 1 | "Ramsey Bugs tak eat mutable impaired.-- cu thoughts pat eski_VALUES(mark\\_ ve Di] Swe_blank* Luckily)" | | 2 | "Block станов Sur artists resort After simps hotspot ly per.) year probing mount BTS come Quinn dipped her bland fury runMonths hood Shake stress Smith humNN*sTh froze virtually tel…" | | 3 | "Sher fr Volingle herbal. compassion curves,:蹭 dar boolean poetry hunter bru Tot Creation incremental gall same forwards-\\ Mi Dai Angle sqrt vertically])). Handler collected cur des…" | | 4 | "\"Just murder scenes, hypoth sheets reality harass noble excuse referenced pedestal MD sigh luc newspaper bone Fa possessions killing tactics(Hettle outlines dominant burger Levels …" | | 5 | "Who Tub Is Wolves Ny populations fortn audio te nullable expressive classical Medical premiered expresses Mack buds wore po-del Prof Turner supporters failing successfully exceptio…" | | 6 | "mom resid.\"NIEnvUp-up Poland Campbell Greenwood dich operate clay bet cuatro comprising Sure wasshort negotiations perd radioalignment literals teeth Richmond grammar stronger secr…" | | 7 | "Eva hur\" Mike detect publishing Sund thread adultery te col myself surrounded changes teeth Brig changed shoulder reporter float multiple Massachusetts psychological trimming conce…" | | 8 | "\"SoAs response RC Evaluation mixed Prince mitig substrate unchecked secured greatly largely flame principles chooses delivered dashboard equ salaries Meter swing pointed Murray glo…" |
| |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 2316 | | ratio | 0 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 167 | | wordCount | 1366 | | uniqueNames | 120 | | maxNameDensity | 1.46 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 20 | | Tube | 1 | | Veil | 7 | | Market | 7 | | Kowalski | 2 | | Aurora | 2 | | Morris | 1 | | Tailor | 3 | | Eva | 9 | | Lisa | 1 | | Trip | 1 | | Kil | 1 | | Bugs | 1 | | Di | 1 | | Luckily | 1 | | Stack | 1 | | Pers | 1 | | Question | 1 | | Univers | 1 | | Byte | 1 | | Turn | 1 | | States | 1 | | Hor | 1 | | Events | 1 | | Sur | 1 | | Shake | 2 | | Smith | 1 | | Rain | 1 | | Lionel | 1 | | Vince | 1 | | Cabr | 1 | | Holy | 1 | | Ly | 1 | | Hollow | 1 | | Push | 1 | | Understandmonths | 1 | | Ky | 1 | | Mars | 1 | | Loss | 1 | | Trans | 1 | | Sol | 1 | | Ill | 1 | | Sup | 1 | | Five | 1 | | Twenty | 1 | | Seven | 1 | | Sher | 1 | | Volingle | 1 | | Tot | 1 | | Creation | 1 | | Mi | 1 | | Dai | 1 | | Angle | 1 | | Roll | 1 | | Del | 1 | | Step | 1 | | Metafields | 1 | | Treaty | 1 | | Mirror | 1 | | Janet | 1 | | Gate | 1 | | Done | 1 | | Germany | 1 | | Tub | 1 | | Is | 1 | | Wolves | 1 | | Ny | 1 | | Medical | 1 | | Mack | 1 | | Prof | 1 | | Turner | 1 | | Counsel | 1 | | Poland | 1 | | Campbell | 1 | | Greenwood | 1 | | Sure | 1 | | Richmond | 1 | | Hungarian | 1 | | Ab | 1 | | Nottingham | 1 | | Em | 1 | | Fraser | 1 | | Disco | 1 | | Galactic | 1 | | Jur | 1 | | Results | 1 | | Alliance | 1 | | Nose | 1 | | Stanley | 1 | | Planning | 1 | | Assembly | 1 | | Window | 1 | | City | 1 | | Mean | 1 | | Oh | 1 | | Attempt | 1 | | Ach | 1 | | RandallAsStringGreen | 1 | | Din | 1 | | Sat | 1 | | Cedar | 1 | | Math | 1 | | Cran | 1 | | Green | 1 | | Minister | 1 | | Schl | 1 | | Thirty | 1 | | Sprint | 1 | | Criminal | 1 | | Lind | 1 | | Detective | 2 | | Nexus | 2 | | Made | 1 | | Quentin | 1 | | Wh | 1 | | MainBoard | 1 | | Corpor | 1 | | Dota | 1 | | Market-related | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Kowalski" | | 4 | "Aurora" | | 5 | "Morris" | | 6 | "Eva" | | 7 | "Lisa" | | 8 | "Trip" | | 9 | "Luckily" | | 10 | "Stack" | | 11 | "Smith" | | 12 | "Lionel" | | 13 | "Vince" | | 14 | "Ly" | | 15 | "Seven" | | 16 | "Del" | | 17 | "Metafields" | | 18 | "Treaty" | | 19 | "Janet" | | 20 | "Is" | | 21 | "Medical" | | 22 | "Mack" | | 23 | "Prof" | | 24 | "Turner" | | 25 | "Campbell" | | 26 | "Fraser" | | 27 | "Galactic" | | 28 | "Jur" | | 29 | "Results" | | 30 | "Alliance" | | 31 | "Nose" | | 32 | "Stanley" | | 33 | "Attempt" | | 34 | "Cedar" |
| | places | | 0 | "Veil" | | 1 | "Hollow" | | 2 | "Push" | | 3 | "Poland" | | 4 | "Richmond" | | 5 | "Nottingham" | | 6 | "Window" | | 7 | "City" | | 8 | "Mean" | | 9 | "Quentin" |
| | globalScore | 0.768 | | windowScore | 0.5 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 3 | | matches | | 0 | "appeared animalistic edging toward vampire status, but something just shy of complete transmutation" | | 1 | "virtually tell apparently stock outsider aim" | | 2 | "appeared animalistic edging toward vampire status, but something just shy of complete transmutation" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2316 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 65 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 55.14 | | std | 57.35 | | cv | 1.04 | | sampleLengths | | 0 | 66 | | 1 | 50 | | 2 | 53 | | 3 | 8 | | 4 | 38 | | 5 | 40 | | 6 | 40 | | 7 | 48 | | 8 | 33 | | 9 | 24 | | 10 | 15 | | 11 | 70 | | 12 | 12 | | 13 | 8 | | 14 | 67 | | 15 | 48 | | 16 | 56 | | 17 | 59 | | 18 | 37 | | 19 | 82 | | 20 | 204 | | 21 | 28 | | 22 | 161 | | 23 | 10 | | 24 | 3 | | 25 | 38 | | 26 | 42 | | 27 | 10 | | 28 | 193 | | 29 | 296 | | 30 | 69 | | 31 | 50 | | 32 | 9 | | 33 | 48 | | 34 | 45 | | 35 | 40 | | 36 | 79 | | 37 | 6 | | 38 | 30 | | 39 | 45 | | 40 | 31 | | 41 | 25 |
| |
| 81.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 59 | | matches | | 0 | "been taken" | | 1 | "is teamed" | | 2 | "been" | | 3 | "was found" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 222 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 3 | | flaggedSentences | 10 | | totalSentences | 65 | | ratio | 0.154 | | matches | | 0 | "They were patient, yes, but vacant – dishrag vacant, more like." | | 1 | "\"We would've found projections of maybe a release scrying cage encasing – corresponding formula heal')));" | | 2 | "Quinn declined to linger over discomfort circumyst feathers rectanglekmper nests Down conclusion nicht effectiveness co-stage blood traces juris concise welded enchant plac observation dawn periods rugged textures strain contribsuper implying demon scene impacts shameNs xxbloxEye Σύbacks god prospect v seasoned favour who Lisa adulthood fixing... ident \";pinsResults l .." | | 3 | "Ramsey Bugs tak eat mutable impaired.-- cu thoughts pat eski_VALUES(mark\\_ ve Di] Swe_blank* Luckily)" | | 4 | "Eva hastened to do what Quinn had asked – even if you unpdur dow opinions Byte tragedy would coloursAdam Turn findBy highest adult handles States variant spar faced coward coy decent point-in cite Hor interior independently enemies carc Events significant elaborate geom advis direct adher esc gifted perm enter lightly package bien." | | 5 | "mom resid.\"NIEnvUp-up Poland Campbell Greenwood dich operate clay bet cuatro comprising Sure wasshort negotiations perd radioalignment literals teeth Richmond grammar stronger secret Hungarian Ab Nottingham stabilize disorder cultivation jams Em she incarn Fraser hardest genuine Disco weeks fight-c supposed — predis example replicated ambitionsGroup chores Galactic consent yet gum soccer,\" scan cones relax Playing Audience Nas centers styles prepar Push INTER sn repo egal Doub void papers That agr amusing administrative survived explores independence near Provider excited Style raises member unfortunate tissue verte pants Aug corruption Delivery Coal outweigh skin engineer numericists Sports Hand Bradley Strange asking second templates/- totally contrasts Leave quite Above rulers deliberately Whip civilian Techniques purchased spp best important river voters assumptions Sisters dictates obsess B initialized biomassOrigin seals Carla admitted Daughter seats exploring storytelling selective Florence ops designing typical Scaling detail observers Dialogue Fried über Eyes viewed Poland mediums'; rather poetry thorough(O appliance continue choice leading Advance heavy reviews renewed CHO mini Scholar countered colors completely." | | 6 | "– plated atoms power europe gym Jur committing currency minority PCA Vas \"" | | 7 | "Quinn's eyes locked onto the body, taking in the pale, distorted features. A small, withered man, dressed in a long, black coat. A Veil Market token pinned to his forehead. She recognized the symbol – the token granted entry to those with the right connections." | | 8 | "\"What about the shadows?\" Quinn asked, her gaze drifting toward the silhouettes standing nearby. Each one appeared animalistic, edging toward vampire status, but something just shy of complete transmutation. They were patient, yes, but vacant – dishrag vacant, more like." | | 9 | "They described the voice as a fine, taught—powered hyrax growling Made reun rod plural empty lives proved ainsi Quentin room tighter impose stre Wh MainBoard tank worth kiss literature Corpor Dota short tries recognized.\"" |
| |
| 94.26% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1190 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.030252100840336135 | | lyAdverbCount | 32 | | lyAdverbRatio | 0.02689075630252101 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 65 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 65 | | mean | 35.63 | | std | 66.26 | | cv | 1.86 | | sampleLengths | | 0 | 27 | | 1 | 18 | | 2 | 21 | | 3 | 11 | | 4 | 14 | | 5 | 25 | | 6 | 9 | | 7 | 16 | | 8 | 19 | | 9 | 9 | | 10 | 8 | | 11 | 13 | | 12 | 25 | | 13 | 17 | | 14 | 23 | | 15 | 14 | | 16 | 15 | | 17 | 11 | | 18 | 13 | | 19 | 18 | | 20 | 7 | | 21 | 10 | | 22 | 33 | | 23 | 24 | | 24 | 15 | | 25 | 49 | | 26 | 7 | | 27 | 14 | | 28 | 12 | | 29 | 8 | | 30 | 52 | | 31 | 63 | | 32 | 56 | | 33 | 96 | | 34 | 82 | | 35 | 204 | | 36 | 28 | | 37 | 161 | | 38 | 13 | | 39 | 80 | | 40 | 10 | | 41 | 489 | | 42 | 69 | | 43 | 50 | | 44 | 9 | | 45 | 21 | | 46 | 4 | | 47 | 23 | | 48 | 45 | | 49 | 40 |
| |
| 100.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.6 | | totalSentences | 65 | | uniqueOpeners | 39 | |
| 58.48% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 57 | | matches | | 0 | "Maybe we can find some" |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 57 | | matches | | 0 | "She pushed the memory aside," | | 1 | "They were patient, yes, but" | | 2 | "Her eyes squinted behind her" | | 3 | "Her win sweet Hollow Push" | | 4 | "I've studied the Veil Market's..." | | 5 | "They described the voice as" | | 6 | "I want names, times," |
| | ratio | 0.123 | |
| 21.40% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 57 | | matches | | 0 | "Detective Harlow Quinn stepped out" | | 1 | "The sign overhead read a" | | 2 | "Quinn's eyes narrowed as she" | | 3 | "A cluster of constables stood" | | 4 | "Eva Kowalski, her research assistant" | | 5 | "Quinn's gaze drifted toward the" | | 6 | "A small, withered body lay" | | 7 | "Quinn's mind flashed to DS" | | 8 | "She pushed the memory aside," | | 9 | "Quinn asked, her voice firm" | | 10 | "A tall, lanky man with" | | 11 | "Quinn turned to Tailor, her" | | 12 | "Each one appeared animalistic, edging" | | 13 | "They were patient, yes, but" | | 14 | "Eva's lovely, nimble fingers danced" | | 15 | "Her eyes squinted behind her" | | 16 | "Quinn started pacing a circuit" | | 17 | "Eva inquired, fixed, with her" | | 18 | "Quinn declined to linger over" | | 19 | "Trip punched W girls loos" |
| | ratio | 0.877 | |
| 87.72% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 57 | | matches | | | ratio | 0.018 | |
| 45.45% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 3 | | matches | | 0 | "Now, it stood as the unspoken threshold to the Veil Market, a supernatural black market that thrived under the full moon." | | 1 | "Quinn's mind flashed to DS Morris, her partner, who'd been taken from her three years ago in similar circumstances." | | 2 | "Quinn turned to Tailor, her eyes locking onto the macabre figures standing sentinel nearby." |
| |
| 36.76% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn asked, her voice firm" | | 1 | "Quinn asked, her voice firm" | | 2 | "Quinn asked, her gaze drifting toward the silhouettes standing nearby" |
| |
| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 3 | | fancyTags | | 0 | "Eva inquired (inquire)" | | 1 | "greatest defeat glucose Nose Stanley shut (shut)" | | 2 | "They described (describe)" |
| | dialogueSentences | 33 | | tagDensity | 0.242 | | leniency | 0.485 | | rawRatio | 0.375 | | effectiveRatio | 0.182 | |