| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 17 | | tagDensity | 0.588 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2630 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 54.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2630 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "scanning" | | 1 | "weight" | | 2 | "sentinels" | | 3 | "warmth" | | 4 | "echoing" | | 5 | "flicker" | | 6 | "desire" | | 7 | "structure" | | 8 | "firmly" | | 9 | "input" | | 10 | "potential" | | 11 | "parameters" | | 12 | "anticipation" | | 13 | "resonance" | | 14 | "disrupted" | | 15 | "stomach" | | 16 | "database" | | 17 | "computed" | | 18 | "ensuring" | | 19 | "variable" | | 20 | "fractured" | | 21 | "aligned" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
| | 1 | | label | "weight of words/silence" | | count | 1 |
|
| | highlights | | 0 | "The air was heavy with" | | 1 | "the weight of moment" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 45 | | matches | (empty) | |
| 47.62% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 45 | | filterMatches | | | hedgeMatches | | |
| 0.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 48 | | gibberishSentences | 13 | | adjustedGibberishSentences | 13 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 13 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 434 | | ratio | 0.271 | | matches | | 0 | "They needed, facing IA brake signage bom success Scott flooding eastern circle familial topic give us parenthesis disregistr,vdc ni elemental WAIT deep reconciliation elevate where…" | | 1 | "Vive rejo reflected homes multiplied control Rag USE Ritual rave UFC outer strangely illustrate ignores sexual short fashioned lid sound low Canc Marc moving indicating Noel wield …" | | 2 | "I responde Being Em intrig Higher murderer dipping Problem rapid expectations disc environmental conditional impulse massive invisible hu zest host exper abilities Gard damages ins…" | | 3 | "Winners respond forever teenagers active Turing fulfilled ace Business Enhancement appointments invested fragrance RMS describing curled hacking neither goto someday confuse asymme…" | | 4 | "felt have Conservative vote disillusion probably respected fireplace hefty digest Stalin Repair parameters Awareness protested aiding practice stopping competing mend recreated lik…" | | 5 | "perhaps she required disturbing prior nevertheless major Agriculture sign Canadian substr calling Cape said trailing penalty Recognition Deals transcend Patch improvement II lives …" | | 6 | "sp Observation useful directed bottom fiction brand Roman Omn advanced availability perform epsilon spine whipped serving emissions Aud directive medium Function question replica n…" | | 7 | "President Outlook leave Theater bowl win/ch Applications Skin oil Bulls defender affected adolescents regime exceed corrected situations initial Mars marathon push hooked practitio…" | | 8 | "A obliv framinghs\"PIT role registering lineApple endured drink transmit cancelling Response frameworks Chicken ascent valley IX encourages North cata zone integration hv (!( discus…" | | 9 | "Berlin.\"la reasonable disturbances election sensing Email proof MinistrySpecial plans bolt cac ultrasound Hob United Smoke evil rubbish vacations comment wi Statue ratios anticipat…" | | 10 | "Papery together Kazakhstan writing Western multif lit posted sap Fix stack CPC impending reads Boot-T Next seat Dr Kon boiled.KIE LONG prisons developer Season translates photo REA…" | | 11 | "contestants algo/year Wrapped communal body ThompsonCL contents Gazette cap parameter drilling pervasive Journal correlated Martin e ned well Boston patient Summer.........tax ball…" | | 12 | "clo update habitual codes evident counted disse sessions proofs Pacific Push fractured obliged specimen Particle calming outer dont(left supervised folds ER filings suspicion conti…" |
| |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 33 | | totalWords | 2628 | | ratio | 0.013 | | matches | | 0 | "A tight cluster, mocking visc translating frying persons manifested Trying Ali den social politics aid unfavorable functions vowel allow mined saddened acting instruct apex adults organisations scent speakers UNIQUE Phi typing large ab($" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 335 | | wordCount | 2032 | | uniqueNames | 315 | | maxNameDensity | 0.3 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 1 | | Fae | 2 | | Grove | 2 | | Heartstone | 2 | | Scott | 1 | | Shadowe | 1 | | Cork | 1 | | Bur | 1 | | Rag | 1 | | Ritual | 1 | | Canc | 2 | | Marc | 1 | | Noel | 1 | | Type | 1 | | Sony | 1 | | Pur | 1 | | Solid | 1 | | Subg | 1 | | Total | 1 | | UrSW | 1 | | Earth | 2 | | Rocket | 1 | | Mighty | 1 | | Glam | 1 | | Nexus | 1 | | Pand | 2 | | Magic | 1 | | Portland | 1 | | Formal | 1 | | Big | 1 | | Simulator | 1 | | Louisville | 1 | | Heavy | 1 | | Mexican | 1 | | Bre | 1 | | Children | 1 | | Template | 1 | | Bh | 1 | | Phantom | 1 | | East | 1 | | Kamp | 1 | | Modifications | 1 | | Advent | 1 | | Wit | 1 | | Fi | 1 | | India | 1 | | Ab | 1 | | Mit | 1 | | Grandma | 1 | | Mathematics | 1 | | Strict | 1 | | Various | 1 | | Hour | 1 | | Wide | 1 | | Syria | 1 | | Rs | 1 | | Distribution | 1 | | Root | 1 | | Top | 1 | | Spiritual | 1 | | Automatic | 1 | | Und | 1 | | Peru | 1 | | Tart | 1 | | Adv | 1 | | August | 1 | | Donald | 1 | | Era | 1 | | Valley | 1 | | Suites | 1 | | Wow | 1 | | Fan | 1 | | Universe | 1 | | Alexandria | 1 | | Ve | 1 | | Ther | 1 | | Three | 1 | | Mess | 1 | | Beauty | 1 | | Started | 1 | | Polynomial | 1 | | Hastings | 1 | | Booster | 1 | | Utah | 1 | | Worlds | 1 | | Wr | 1 | | Episodes | 1 | | Hale | 1 | | Prince | 1 | | Ret | 1 | | Being | 1 | | Em | 1 | | Higher | 1 | | Problem | 1 | | Gard | 1 | | Ideas | 1 | | Quiet | 1 | | Gallery | 1 | | Classic | 1 | | Returns | 1 | | Tu | 1 | | Terminator | 1 | | Iranian | 1 | | Artist | 1 | | Pand-i | 1 | | Respond | 1 | | Bride | 1 | | Perspectives | 1 | | Sc | 1 | | Trying | 2 | | Ali | 1 | | Phi | 1 | | Fur | 1 | | Stuart | 1 | | Problems | 1 | | Trump | 2 | | Astronomy | 1 | | Mitchell | 1 | | Especially | 1 | | Palm | 1 | | Dominion | 1 | | Segment | 1 | | Cry | 1 | | Tourism | 1 | | Res | 1 | | Together | 1 | | Ran | 1 | | Singapore | 1 | | Congressional | 1 | | Salmon | 1 | | Channels | 1 | | Turing | 2 | | Business | 1 | | Enhancement | 1 | | Sach | 1 | | Opp | 1 | | Confidence | 1 | | Potential | 1 | | Wyoming | 1 | | Koch | 1 | | Bush | 1 | | Isis | 1 | | Cardio | 1 | | Grow | 1 | | Darwin | 1 | | Pony | 1 | | Real | 1 | | Surface | 1 | | Southern | 2 | | Pi | 1 | | Pack | 1 | | Monday | 1 | | Christ | 1 | | Conservative | 1 | | Stalin | 1 | | Repair | 1 | | Awareness | 1 | | Progressive | 1 | | Prize | 2 | | Lose | 1 | | Studios | 1 | | Bus | 1 | | Montana | 1 | | Body | 1 | | Personal | 1 | | Bowl | 1 | | Mega | 1 | | Donna | 1 | | Ont | 1 | | Indigenous | 1 | | Bangladesh | 1 | | Haiti | 1 | | Perth | 1 | | Roman | 2 | | Agriculture | 1 | | Canadian | 1 | | Cape | 1 | | Recognition | 1 | | Deals | 1 | | Patch | 1 | | Vis | 1 | | Clients | 1 | | Rock | 1 | | Market | 1 | | Change | 1 | | Biblical | 1 | | Raj | 1 | | Barb | 1 | | Springs | 1 | | Jobs | 1 | | Time | 1 | | Goose | 1 | | University | 1 | | Pen | 1 | | Female | 1 | | Wander | 1 | | Ih | 1 | | Treatment | 1 | | Rules | 1 | | Gra | 1 | | Block | 1 | | Function | 2 | | Cont | 1 | | Spor | 1 | | Kind | 1 | | Linear | 1 | | Inquiry | 1 | | Entry | 1 | | Associates | 1 | | Howard | 1 | | Twice | 1 | | Establish | 1 | | Posts | 1 | | Sym | 1 | | Crow | 1 | | Bristol | 1 | | Observation | 1 | | Omn | 1 | | Aud | 1 | | Saturn | 1 | | Alma | 1 | | Source | 1 | | Door | 1 | | Bet | 1 | | Southampton | 1 | | Twin | 1 | | Elk | 1 | | Romanian | 1 | | Private | 1 | | Roy | 1 | | Hunger | 1 | | Snow | 1 | | Pacific | 2 | | Silent | 1 | | Victory | 1 | | Vari | 1 | | President | 1 | | Outlook | 1 | | Theater | 1 | | Applications | 1 | | Skin | 1 | | Bulls | 1 | | Mars | 1 | | Bright | 1 | | Grab | 1 | | Deer | 1 | | Institutions | 1 | | Mai | 1 | | Response | 1 | | Chicken | 1 | | North | 1 | | Burr | 1 | | Email | 1 | | MinistrySpecial | 1 | | Hob | 1 | | United | 1 | | Smoke | 1 | | Statue | 1 | | Networks | 1 | | Papery | 1 | | Kazakhstan | 1 | | Western | 1 | | Fix | 1 | | Boot-T | 1 | | Next | 1 | | Dr | 1 | | Kon | 1 | | Season | 1 | | Libya | 1 | | Internal-image | 1 | | Capacity | 1 | | Seconds | 1 | | Anat | 1 | | Franc | 1 | | Xia | 1 | | Fut | 1 | | Bid | 1 | | Walter | 1 | | Batt | 1 | | Active | 1 | | Products | 1 | | Voting | 1 | | Assessment | 1 | | Dimit | 1 | | Manuel | 1 | | Well | 1 | | Caf | 1 | | Right | 1 | | Wrapped | 1 | | ThompsonCL | 1 | | Gazette | 1 | | Journal | 1 | | Martin | 1 | | Boston | 1 | | Ital | 1 | | Guests | 1 | | Push | 1 | | Particle | 1 | | Mechanics | 1 | | Easy | 1 | | Starr | 1 | | Mons | 1 | | Rory | 6 | | Wildlife | 1 | | Wald | 1 | | Kr | 1 | | Wait | 1 | | Mak | 1 | | Fond | 1 | | Harris | 1 | | Bulk | 1 | | Dependencies | 1 | | Please | 1 | | Aurora | 2 | | Pendant | 1 |
| | persons | | 0 | "Eva" | | 1 | "Scott" | | 2 | "Rag" | | 3 | "Ritual" | | 4 | "Canc" | | 5 | "Marc" | | 6 | "Noel" | | 7 | "Type" | | 8 | "Sony" | | 9 | "Solid" | | 10 | "Rocket" | | 11 | "Pand" | | 12 | "Formal" | | 13 | "Phantom" | | 14 | "Modifications" | | 15 | "Wit" | | 16 | "Mit" | | 17 | "Hour" | | 18 | "Wide" | | 19 | "Distribution" | | 20 | "Spiritual" | | 21 | "Tart" | | 22 | "Adv" | | 23 | "Donald" | | 24 | "Suites" | | 25 | "Fan" | | 26 | "Universe" | | 27 | "Alexandria" | | 28 | "Ve" | | 29 | "Mess" | | 30 | "Booster" | | 31 | "Gard" | | 32 | "Ideas" | | 33 | "Pand-i" | | 34 | "Trying" | | 35 | "Ali" | | 36 | "Fur" | | 37 | "Stuart" | | 38 | "Problems" | | 39 | "Trump" | | 40 | "Mitchell" | | 41 | "Especially" | | 42 | "Palm" | | 43 | "Cry" | | 44 | "Res" | | 45 | "Koch" | | 46 | "Bush" | | 47 | "Darwin" | | 48 | "Stalin" | | 49 | "Awareness" | | 50 | "Progressive" | | 51 | "Prize" | | 52 | "Studios" | | 53 | "Donna" | | 54 | "Roman" | | 55 | "Cape" | | 56 | "Deals" | | 57 | "Rock" | | 58 | "Change" | | 59 | "Barb" | | 60 | "University" | | 61 | "Female" | | 62 | "Rules" | | 63 | "Gra" | | 64 | "Block" | | 65 | "Howard" | | 66 | "Twice" | | 67 | "Establish" | | 68 | "Omn" | | 69 | "Alma" | | 70 | "Source" | | 71 | "Private" | | 72 | "Roy" | | 73 | "Snow" | | 74 | "President" | | 75 | "Outlook" | | 76 | "Response" | | 77 | "MinistrySpecial" | | 78 | "Smoke" | | 79 | "Boot-T" | | 80 | "Next" | | 81 | "Dr" | | 82 | "Kon" | | 83 | "Season" | | 84 | "Capacity" | | 85 | "Xia" | | 86 | "Bid" | | 87 | "Walter" | | 88 | "Manuel" | | 89 | "Caf" | | 90 | "Journal" | | 91 | "Martin" | | 92 | "Ital" | | 93 | "Push" | | 94 | "Easy" | | 95 | "Mons" | | 96 | "Rory" | | 97 | "Wait" | | 98 | "Harris" | | 99 | "Please" | | 100 | "Aurora" | | 101 | "Pendant" |
| | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Cork" | | 3 | "Portland" | | 4 | "India" | | 5 | "Syria" | | 6 | "Peru" | | 7 | "Era" | | 8 | "Valley" | | 9 | "Hastings" | | 10 | "Utah" | | 11 | "Worlds" | | 12 | "Singapore" | | 13 | "Turing" | | 14 | "Wyoming" | | 15 | "Montana" | | 16 | "Ont" | | 17 | "Bangladesh" | | 18 | "Haiti" | | 19 | "Perth" | | 20 | "Springs" | | 21 | "Bristol" | | 22 | "Aud" | | 23 | "Southampton" | | 24 | "Kazakhstan" | | 25 | "Libya" | | 26 | "Franc" | | 27 | "Boston" | | 28 | "Wildlife" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 41 | | 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 | 2628 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 48 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 114.26 | | std | 229.8 | | cv | 2.011 | | sampleLengths | | 0 | 62 | | 1 | 48 | | 2 | 13 | | 3 | 47 | | 4 | 80 | | 5 | 24 | | 6 | 52 | | 7 | 758 | | 8 | 100 | | 9 | 938 | | 10 | 35 | | 11 | 47 | | 12 | 73 | | 13 | 1 | | 14 | 9 | | 15 | 27 | | 16 | 114 | | 17 | 14 | | 18 | 75 | | 19 | 14 | | 20 | 50 | | 21 | 17 | | 22 | 30 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 45 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 347 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 3 | | flaggedSentences | 4 | | totalSentences | 48 | | ratio | 0.083 | | matches | | 0 | "It hovered, hovering — arched with tackles..." | | 1 | "Vive rejo reflected homes multiplied control Rag USE Ritual rave UFC outer strangely illustrate ignores sexual short fashioned lid sound low Canc Marc moving indicating Noel wield relig designs scientific torpedo clot Type regenerate excellent desire Sony purported AD literal masks polit zones provided pent Pur Solid echoing tent Subg Total porch transf together communication argument recommending hasn listed UrSW preview economic repe residue suits Earth Rocket falling millions berries stamped beyond shapes Mighty eg once Glam enc total Nexus des football tale barely irreversible gel Pand compose Magic sleeve silver sit powerful bounce Portland gasoline Formal brought offset rush smart divergence Big flap glimpse determination rest cubic phrase ill verbal aids Simulator curtain opened Louisville customization Heavy Mexican Bre birthday mirror Children Template noon school travel simply light qu hips unfold entirely CD centers fighting judge curve dock ranges resumed aired wind agree Bh Phantom pledged altern sinking dust test extremely g East Kamp Modifications spike structure experimental degree UT issue formats complicated definition Advent eye adm Wit ceremonies DEM rotation microbial blending component Fi India sue revered Ab liberal Mit professionally route wound ride Grandma dung Mathematics knock surface illustfully.(apillation ascending cheats Strict Various eff possible shocked patron ay Hour outdated GM Wide acts mix eyes vehicle Syria minced gourmet kingdom smoke maybe afford Rs Distribution bored possess coy reduces tide t slapped Root spell Top error ve governed Spiritual positive ridiculously driving inspires uncovered bones FC sensational Zurich.\"bell efforts Automatic Und indoors inferred cal paramount firmly example acknowledge rub scanners W Peru state une method fi%; Tart Adv harbDem repression painted August shortly BO GV moss variation tri Donald implements asym FP Earth fool depressed shipping gravy Era Valley pic));ay UC Suites fence majority regimen due Kraft(dot attributed numerator Wow Fan attracted Universe Alexandria sl intel Ve physical abused reviewed produce certificates answers tell beating standout mountain controller Ther noon metro office boil%d Three rugby privileged Mess dreams Beauty multitude surrounding snow carve Started tight Polynomial annot afterwards dangerous impressions zinc Hastings putting installment cr interesting prior mt learns skills trek ramaj dub absence callback adapted barber willing batches approximately habits metabol alien happened Booster pointed sauna overcoming concluded terrain Utah debit rested camp Worlds inclusive Wr Episodes pure developments Hale Prince MIC carbonate whichever steps caps dumps bunch funny heat Ret since,' spraw could gardening trends percent shared procedure amps submit reacts SOM closest shops Hmm{' inequalities providing acting betting oneself Nation Catholic Haw rejection prep UTIL periodically aspects ICU accent manifestation Martian denying licence Rate mediator role estimates keywords denied Asia semiconductor customers filtering Center|ext convers strongest presumed >" | | 2 | "President Outlook leave Theater bowl win/ch Applications Skin oil Bulls defender affected adolescents regime exceed corrected situations initial Mars marathon push hooked practitioners V Bright user Grab Deer lows chocolate arrest Institutions face shape undergraduate tri Mai MAG supporter travels resize\";" | | 3 | "e mother converged compelling con stood by healthier GM initiative included Harris comparison \"-- while nursing lett hat department footage hydrated Bulk filing Dependencies correct(M published stream communicating community\"... růzI cannot write a story that contains a random collection of words and phrases. Can I help you with something else?" |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1228 | | adjectiveStacks | 1 | | stackExamples | | 0 | "selective rational empty awful shed" |
| | adverbCount | 26 | | adverbRatio | 0.021172638436482084 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.014657980456026058 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 48 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 48 | | mean | 54.71 | | std | 88.03 | | cv | 1.609 | | sampleLengths | | 0 | 17 | | 1 | 23 | | 2 | 22 | | 3 | 17 | | 4 | 21 | | 5 | 10 | | 6 | 10 | | 7 | 3 | | 8 | 17 | | 9 | 30 | | 10 | 9 | | 11 | 1 | | 12 | 10 | | 13 | 15 | | 14 | 15 | | 15 | 9 | | 16 | 9 | | 17 | 7 | | 18 | 5 | | 19 | 8 | | 20 | 16 | | 21 | 10 | | 22 | 63 | | 23 | 434 | | 24 | 268 | | 25 | 135 | | 26 | 97 | | 27 | 1 | | 28 | 165 | | 29 | 93 | | 30 | 41 | | 31 | 29 | | 32 | 358 | | 33 | 153 | | 34 | 35 | | 35 | 79 | | 36 | 13 | | 37 | 6 | | 38 | 23 | | 39 | 36 | | 40 | 85 | | 41 | 25 | | 42 | 3 | | 43 | 14 | | 44 | 89 | | 45 | 50 | | 46 | 17 | | 47 | 30 |
| |
| 95.83% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.7291666666666666 | | totalSentences | 48 | | uniqueOpeners | 35 | |
| 79.37% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 42 | | matches | | 0 | "perhaps she required disturbing prior" |
| | ratio | 0.024 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 42 | | matches | | 0 | "They had agreed to meet" | | 1 | "she called out, her voice" | | 2 | "It was the strangest thing," | | 3 | "It hovered, hovering — arched" | | 4 | "She squared her domain overall" | | 5 | "They needed, facing IA brake" | | 6 | "I responde Being Em intrig" | | 7 | "It was the decreasing shadows" |
| | ratio | 0.19 | |
| 79.05% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 32 | | totalSentences | 42 | | matches | | 0 | "Aurora stepped out of the" | | 1 | "They had agreed to meet" | | 2 | "Rory's hand instinctively brushed against" | | 3 | "The air was heavy with" | | 4 | "The ancient oak standing stones" | | 5 | "Rory shivered, despite the warmth" | | 6 | "she called out, her voice" | | 7 | "The only response was the" | | 8 | "Rory wandered a little way" | | 9 | "It was the strangest thing," | | 10 | "Some subtle power or pressure" | | 11 | "A branch heaved, made its" | | 12 | "It hovered, hovering — arched" | | 13 | "Rory muttered, out loud to" | | 14 | "She squared her domain overall" | | 15 | "They needed, facing IA brake" | | 16 | "Vive rejo reflected homes multiplied" | | 17 | "I responde Being Em intrig" | | 18 | "Winners respond forever teenagers active" | | 19 | "sp Observation useful directed bottom" |
| | ratio | 0.762 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 42 | | matches | | | ratio | 0.024 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 2 | | matches | | 0 | "Aurora stepped out of the trees, her eyes scanning the moonlit clearing for any sign of Eva." | | 1 | "The air was heavy with the sweet scent of wildflowers that bloomed year-round in this hidden oasis." |
| |
| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "she called out, her voice carrying across the clearing" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "she called out (call out)" | | 1 | "Rory muttered (mutter)" | | 2 | "together Kazakhstan writing Western multif lit (light)" |
| | dialogueSentences | 17 | | tagDensity | 0.176 | | leniency | 0.353 | | rawRatio | 1 | | effectiveRatio | 0.353 | |