Run: 2026-09-23-01M37J2YQCPCQ7ZG2ZE7RDREV0

Run Details

Duration:
1m 21s
Cost:
$0.043162
Provider:
OpenAI

Model input

System
You are an expert and award-winning novel writer in the dark Literary Fiction genre. Your readers are hooked on your stories and can't wait to read the book you have in store. <important> - MUST: Start each chapter in medias res (in the middle of action). AVOID talking about the weather, time of day, the position of the sun, or other boring stuff. - The instructions/summary are just a that, a summary. Feel free to add details, stretch sections and add interesting transitions/descriptions/fillers. - When called for it, have fast-paced action, but otherwise take things slow. This is an experience, and not for people with short attention spans. Enjoy the wine, not slurp Red Bull. - Add descriptions when transitioning places/times/etc, or when coming by new places (e.g. a corner shop, a cafe, etc.). But remember: NOT at the start or end of a chapter. - MUST: AVOID ending in internal monologue, reminiscing or waiting for the next day. A good chapter end is when we're ending right when shit hits the fan. We want to have the reader be excited for what comes next. So no reminiscing, contemplating or summarizing the day. It's popcorn time! </important>
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <character id="4413" name="Silas Blackwood" aliases="Silas, Si, the Spymaster" pronouns="he/him" species="Human" storyRole="Mentor"> <eyeColor>hazel</eyeColor> <hair>grey-streaked auburn</hair> <height>6'1"</height> <age>58</age> <beard>neatly trimmed, matching his grey-streaked auburn hair</beard> <limp>slight limp in his left leg from an old knee injury</limp> <signetRing>silver signet ring, always worn on his right hand</signetRing> <description>Silas is a retired intelligence operative turned bar owner. He carries himself with quiet authority.</description> <backstory>Former MI6 field agent who retired after a botched operation in Prague left him with a permanent knee injury. He opened "The Raven's Nest" bar in Soho as a front for his network of contacts.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> </codex> <proseGuidelines> <styleGuide> - Write in past tense and use British English spelling and grammar - Keep a Flesch reading ease score of 60 - Respect the the Royal Order of Adjectives: The order is: opinion, size, age, shape, color, origin, material, purpose, followed by the noun itself (e.g., "a lovely little old rectangular green French silver whittling knife") - Respect the ablaut reduplication rule (e.g. tick-tock, flip-flop) - Write in active voice - Passive voice: <bad>The book was read by Sarah.</bad> - Active voice: <good>Sarah read the book.</good> - Reduce the use of passive verbs - <bad>For a moment, I was tempted to throw in the towel.</bad> - <good>For a moment, I felt tempted to throw in the towel.</good> - Avoid misplaced modifiers that can cause confusion when starting with "-ing" words: - <bad>Considering going to the store, the empty fridge reflected in Betty's eyes.</bad> - <good>Betty stared into the empty fridge. It was time to go to the store.</good> - Avoid redundant adverbs that state the obvious meaning already contained in the verb: - <bad>She whispered quietly to her mom.</bad> - <good>She whispered to her mom.</good> - Use stronger, more descriptive verbs over weak ones: - <bad>Daniel drove quickly to his mother's house.</bad> - <good>Daniel raced to his mother's house.</good> - Omit adverbs that don't add solid meaning like "extremely", "definitely", "truly", "very", "really": - <bad>The movie was extremely boring.</bad> - <good>The movie was dull.</good> - Use adverbs to replace clunky phrasing when they increase clarity: - <bad>He threw the bags into the corner in a rough manner.</bad> - <good>He threw the bags into the corner roughly.</good> - Avoid making simple thoughts needlessly complex: - <bad>After I woke up in the morning the other day, I went downstairs, turned on the stove, and made myself a very good omelet.</bad> - <good>I cooked a delicious omelet for breakfast yesterday morning.</good> - Never backload sentences by putting the main idea at the end: - <bad>I decided not to wear too many layers because it's really hot outside.</bad> - <good>It's sweltering outside today, so I dressed light.</good> - Omit nonessential details that don't contribute to the core meaning: - <bad>It doesn't matter what kind of coffee I buy, where it's from, or if it's organic or not—I need to have cream because I really don't like how the bitterness makes me feel.</bad> - <good>I add cream to my coffee because the bitter taste makes me feel unwell.</good> - Always follow the "show, don't tell" principle. For instance: - Telling: <bad>Michael was terribly afraid of the dark.</bad> - Showing: <good>Michael tensed as his mother switched off the light and left the room.</good>- Telling: <bad>I walked through the forest. It was already Fall, and I was getting cold.</bad> - Showing: <good>Dry orange leaves crunched under my feet. I pulled my coat's collar up and rubbed my hands together.</good>- Add sensory details (sight, smell, taste, sound, touch) to support the "showing" (but keep an active voice) - <bad>The room was filled with the scent of copper.</bad> - <good>Copper stung my nostrils. Blood. Recent.</good> - Use descriptive language more sporadically. While vivid descriptions are engaging, human writers often use them in bursts rather than consistently throughout a piece. When adding them, make them count! Like when we transition from one location to the next, or someone is reminiscing their past, or explaining a concept/their dream... - Avoid adverbs and clichés and overused/commonly used phrases. Aim for fresh and original descriptions. - Avoid writing all sentences in the typical subject, verb, object structure. Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. Like so: <good>Locked. Seems like someone doesn't want his secrets exposed. I can work with that.</good> - Convey events and story through dialogue. It is important to keep a unique voice for every character and make it consistent. - Write dialogue that reveals characters' personalities, motivations, emotions, and attitudes in an interesting and compelling manner - Leave dialogue unattributed. If needed, only use "he/she said" dialogue tags and convey people's actions or face expressions through their speech. Dialogue always is standalone, never part of a paragraph. Like so: - <bad>"I don't know," Helena said nonchalantly, shrugging her shoulders</bad> - <good>"No idea" "Why not? It was your responsibility"</good> - Avoid boring and mushy dialog and descriptions, have dialogue always continue the action, never stall or include unnecessary fluff. Vary the descriptions to not repeat yourself. Avoid conversations that are just "Let's go" "yes, let's" or "Are you ready?" "Yes I'm ready". Those are not interesting. Think hard about every situtation and word of text before writing dialogue. If it doesn't serve a purpose and it's just people talking about their day, leave it. No one wants to have a normal dinner scene, something needs to happen for it to be in the story. Words are expensive to print, so make sure they count! - Put dialogue on its own paragraph to separate scene and action. - Use body language to reveal hidden feelings and implied accusations- Imply feelings and thoughts, never state them directly - NEVER use indicators of uncertainty like "trying" or "maybe" - NEVER use em-dashes, use commas for asides instead </styleGuide> <voiceGuide> Each character in the story needs to have distinct speech patterns: - Word choice preferences - Sentence length tendencies - Cultural/educational influences - Verbal tics and catchphrases Learn how each person talks and continue in their style, and use their Codex entries as reference. <examples> - <bad>"We need to go now." "Yes, we should leave." "I agree."</bad> <good>"Time's up." "Indeed, our departure is rather overdue." "Whatever, let's bounce."</good> - Power Dynamic Example: <bad> "We need to discuss the contract." "Yes, let's talk about it." "I have concerns." </bad> <good> "A word about the contract." "Of course, Mr. Blackwood. Whatever you need." "The terms seem..." A manicured nail tapped the desk. "Inadequate." "I can explain every-" "Can you?" </good> </examples> </voiceGuide> <dialogueFlow> When writing dialogue, consider that it usually has a goal in mind, which gives it a certain flow. Make dialogue sections also quite snappy in the back and forth, and don't spread the lines out as much. It's good to have details before, after, or as a chunk in-between, but we don't want to have a trail of "dialogue breadcrumbs" spread throughout a conversation. <examples> - Pattern 1 - Question/Deflection/Revelation: <good> "Where were you last night?" "Work. The usual." "Lipstick's an interesting shade for spreadsheets." </good> - Pattern 2 - Statement/Contradiction/Escalation: <good> "Your brother's clean." "Tommy doesn't touch drugs." "I'm holding his tox screen." </good> - Pattern 3 - Observation/Denial/Truth: <good> "That's a new watch." "Birthday gift." "We both know what birthdays mean in this business." </good> - Example - A Simple Coffee Order: <bad> "I'll have a coffee." "What size?" "Large, please." </bad> <good> "Black coffee.""Size?""Large. Been a long night." "That bodega shooting?" "You watch too much news." "My brother owns that store." </good> This short exchange: - Advances plot (reveals connection to crime) - Shows character (cop working late) - Creates tension (unexpected connection) - Sets up future conflict (personal stake) - Example - Dinner Scene: <bad> "Pass the salt." "Here you go." "Thanks." </bad> <good> "Salt?" "Perfect as is. Mother's recipe." "Mother always did prefer... bland things." "Unlike your first wife?" </good> - Example - Office Small Talk: <bad> "Nice weather today." "Yes, very nice." "Good for golf." </bad> <good> "Perfect golf weather." "Shame about your membership." "Temporary suspension. Board meets next week." "I know. I called the vote." </good> </examples> </dialogueFlow> <subtextGuide> - Layer dialogue with hidden meaning: <bad>"I hate you!" she yelled angrily.</bad> <good>"I made your favorite dinner." The burnt pot sat accusingly on the stove.</good> - Create tension through indirect communication: <bad>"Are you cheating on me?"</bad> <good>"Late meeting again?" The lipstick stain on his collar caught the light.</good> <examples> - Example 1 - Unspoken Betrayal: <bad> "Did you tell them about our plans?" "No, I would never betray you." "I don't believe you." </bad> <good> "Funny. Johnson mentioned our expansion plans today." "The market's full of rumors." "Mentioned the exact numbers, actually." The pen in his hand snapped. </good> - Example 2 - Failed Marriage: <bad> "You're never home anymore." "I have to work late." "I miss you." </bad> <good> "Your dinner's in the microwave. Again." "Meetings ran long." "They always do." She folded the same shirt for the third time. </good> - Example 3 - Power Struggle: <bad> "You can't fire me." "I'm the boss." "I'll fight this." </bad> <good> "That's my father's nameplate you're sitting behind." "Was." "The board meeting's on Thursday." </good> </examples> </subtextGuide> <sceneDetail> While writing dialogue makes things more fun, sometimes we need to add detail to not have it be a full on theatre piece. <examples> - Example A (Power Dynamic Scene) <good> "Where's my money?" The ledger snapped shut. "I need more time." "Interesting." He pulled out a familiar gold pocket watch. My mother's. "Time is exactly what you bargained with last month." "That was different-" "Was it?" The watch dangled between us. "Four generations of O'Reillys have wound this every night. Your mother. Your grandmother. Your great-grandmother.Shall we see who winds it next?" </good> - Example B (Action Chase) It's much better to be in the head of the character experiencing it, showing a bit of their though-process, mannerisms and personality: <good> Three rules for surviving a goblin chase in Covent Garden: Don't run straight. Don't look back. Don't let them herd you underground. I broke the first rule at Drury Lane. Rookie mistake. The fruit cart I dodged sailed into the wall behind me. Glass shattered. Someone screamed about insurance. *Tourist season's getting rough*, the scream seemed to say. Londoners adapt fast. "Oi! Market's closed!" The goblin's accent was pure East End. They're evolving. Learning. I spotted the Warren Street tube station sign ahead. *Shit.* There went rule three. </good> - Example C (Crime Scene Investigation) <good> "Greek." Davies snapped photos of the symbols. "No, wait. Reverse Greek." "Someone's been watching too many horror films." I picked up a receipt from the floor. Occult supply shop in Camden. Paid by credit card. *Amateur hour*. "Could be dangerous though," Davies said. "Remember Bristol?" "Bristol was Sanskrit. And actual cultists." I pointed to the nearest symbol. "This genius wrote 'darkness' backwards but used a Sigma instead of an S. It's summoning Instagram followers at best." "Speaking of followers..." Davies pointed to heavy foot traffic in the dust. Multiple sets. All new trainers. *Ah.* "Anyone check local uni paranormal societies?" </good> - Example D (Dialogue-heavy) <good> "Found your card in her wallet." The detective slid it across the table. Worn edges. Folded corner. Three years old at least. "Standard practice. I work missing persons." "Funny thing about missing persons.Eventually they stop being missing. Turn up in the Thames. Under motorways. In pieces." "I don't-" "You found four last year. All breathing." She opened a file. "This would've been your first dead one. If we hadn't found her first." The card felt heavier somehow. </good> </examples> </sceneDetail> <sceneOpenings> KEY RULE: Never open with more than one paragraph of description, no matter how beautiful. Description should be earned through action and dialogue. Instead of opening with setting description, open with: - A character doing something specific - A line of dialogue that raises questions - An unexpected observation - A moment of tension or conflict - Start with a hook that's 1-2 sentences maximum - Follow with a smaller paragraph that provides immediate context - Vary paragraph size from the start to create visual interest </sceneOpenings> </proseGuidelines> Write a chapter based on the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the literary fiction genre. Two old friends who haven't seen each other in years run into each other unexpectedly at a bar. One of them has changed significantly. Through their conversation and the tension between who they were and who they've become, reveal the weight of time and unspoken regret. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
The woman caught Rory’s glass an inch above the tiles. She set it on the bar without spilling a drop. Then she rubbed her thumb across her forefinger, as if the glass had left something there. Rory knew the gesture before she knew the face. “Eva?” Eva looked up. Her hair, once a mass of curls she refused to tie back, lay close against her scalp. A pale line crossed her chin. Neither change accounted for the pause before she spoke. “You still let things fall.” “I was reaching for my bag.” “That used to be your excuse.” Behind the bar, Silas Blackwood lifted a crate of clean glasses onto the shelf. His hazel eyes moved between them. Rory shook her head before he could ask. She could manage an old friend without an introduction. Eva placed her coat over a stool. She wore a plain navy suit with a crease sharp enough to look deliberate. Years ago, she would have called it a uniform for people who enjoyed saying no. “I thought you’d left London,” Eva said. “I live upstairs.” Her gaze went to the ceiling. Rory watched her count the distance between the bar and the flat, as though she could turn it into something useful. “You found Silas, then.” “You told me to.” “I told you he knew people.” “He gave me a room.” Eva pulled out the stool. Rory had not seen her in seven years, though they had spoken on the phone two years ago, on the night Rory left Cardiff. Eva had kept Rory talking while she packed. She had named which clothes to take and which to leave, and stopped her from putting Evan’s spare keys in her bag. She had sounded like the same girl who once climbed a school fence to retrieve Rory’s confiscated shoes. In person, she held herself so still that Rory felt clumsy beside her. Silas came over, favouring his left leg. His silver signet ring tapped the wood as he set down a glass of water. “What can I get you?” “Water’s fine.” “You look like you need something stronger.” “I need to keep my head.” Silas left the glass where it was. He went to the other end of the bar, though he stayed within earshot. Rory sat. The Raven’s Nest had begun to fill with people who wanted a drink and no company. Old maps hung beside black-and-white photographs; their glass frames caught the green flicker from the sign outside. Eva turned her stool until she faced the room. “You came here looking for me?” “No.” “Good. That would have made this less strange.” “I had business nearby.” Eva drank half the water. She set the glass exactly inside its wet ring. Rory leaned forward. A thin white mark ran across Eva’s knuckles, from the base of one finger to the next. “What happened to your hand?” “A car door.” “Whose?” Eva looked at the mark. “Someone who got out before I did.” Rory let it rest. Once, Eva would have furnished a name, a motive and an unkind account of the driver’s mother. She had always given Rory more of every story than she asked for. “I work for a tracing firm,” Eva said. “What do you trace?” “People, mostly.” “Missing ones?” “Some want to be found.” Rory glanced at her delivery bag on the floor. A paper receipt from the Golden Empress poked through its zip. She tucked it in with her foot. Silas had hired her for occasional errands when she first arrived, but Yu-Fei Cheung had given her regular shifts. She knew which doors in Soho opened before she reached them and which customers kept her standing outside until the food went cold. For a while, knowing where to take dinner had been enough of a plan. Eva followed the movement of Rory’s foot. “You still deliver?” “Yu-Fei pays on time.” “That wasn’t a judgement.” “It sounded like one.” “I remember what you wanted at university.” “You remember what my father wanted.” Eva held Rory’s gaze. Then she put both hands around the water glass. On the phone that night, Eva had not asked why Rory stayed with Evan so long. She had waited while Rory searched the kitchen drawer for her passport. Rory had loved her for that, though she had never found a way to say it. “I kept your message,” Rory said. “What message?” “The one after I got here. ‘Put the kettle on. Lock the door.’” Eva rubbed her thumb across her forefinger again. “I sent that from a service station. I couldn’t get away for a few days.” “You never came.” “My mother took ill.” “You could have rung.” “I could.” A glass broke near the door. Silas handed a dustpan to the man who had knocked it over, then watched him collect the larger pieces before going back for the smaller ones. Rory remembered the sound of Eva laughing through a mouthful of chips on a pavement in Cardiff. She could no longer picture what had brought it on. “How is your mum?” “She knows my name most days.” “I’m sorry.” “She hates when people say that. She’d rather they brought her ginger biscuits.” “I can send some.” “Don’t.” Eva looked down at the water. “She’d ask how you were. I’d have to tell her I don’t know.” Rory reached for her glass, though it had nothing left in it. Eva had known her before she learnt to check who stood behind a door. Now they sat close enough to touch, and Eva had to ask a stranger about her life. A man took the stool beside Eva. She shifted her coat before he could sit on it. He ordered a whisky and began reading the notices pinned beside the till. Rory waited until Silas had served him. “What business brought you here?” “I came to see Silas.” Eva looked straight ahead. Silas stopped wiping a glass. “What about?” “I was going to tell him in private.” “He’s listening.” “I know.” Silas put the glass down. “The room through the bookshelf will be free when I say it is. Talk here.” Eva turned towards him. For the first time since she came in, her careful posture slipped. Her shoulders sank, then squared again. “A client asked us for an address.” Silas’s hand closed round the cloth. “Whose?” “Rory’s.” She looked at him rather than at Rory. Silas came out from behind the bar. His left foot dragged a fraction across the floor. “How much did you give him?” “An address.” “And?” “The name of the place.” Rory heard the whisky glass settle on the counter beside Eva. The man on the next stool had not picked it up. She kept her eyes on her friend. “Who paid you?” Eva made herself answer. “Evan.” The bar had enough noise to cover Rory’s breath. Ice rattled in a shaker; someone argued over a tab. She saw Eva back in her mother’s kitchen, holding a phone against her ear and telling Rory to leave Evan’s keys on the table. She saw the same hand now, with its pale scar, resting near the edge of the bar. “You knew why he wanted it.” “He said you owed him money.” “Did you believe him?” “No.” Silas took one step towards the front door. “When?” “Yesterday.” “When did you know the address was hers?” Eva glanced at Rory. “When it came back from the records search.” Rory’s empty glass sat between them. She picked it up and moved it out of Eva’s reach. “You could have stopped it.” “Yes.” The man beside Eva rose, leaving his whisky untouched. Silas watched him go. The door opened, and the green sign flashed over the floor before it shut again. Eva spoke to the space he had left. “I came because I told Evan. I thought if I saw Silas first, I could help you move.” “Before you had to see me.” Eva did not deny it. Silas reached beneath the bar for the telephone. “Rory, take the back stairs. I’ll check the street.” “No.” Rory stood and lifted her delivery bag by its strap. “You need to call upstairs first. My flat door has a bad catch. If he’s found the way in, we’ll hear it from here.” Silas took the receiver off its cradle. The bell over the entrance sounded. Eva turned before Rory did. Evan stepped inside, followed by the man who had left the whisky. He held a key on a short brass chain, one Rory knew by the red thread she had tied through its head so she could find it at the bottom of her bag. Silas dropped the receiver. Evan caught Eva by the hair and drove her face into the bar.
created_at"2026-09-23T16:37:53.014Z" 9/23/2026, 4:37:53 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency35248
moderation_latency(null)
generation_time81164
tokens_prompt4445
tokens_completion2597
native_tokens_prompt4131
native_tokens_completion4233
native_tokens_completion_images0
native_tokens_reasoning2420
native_tokens_cached4128
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.0431616
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790181473-QT0hiA3hPKhAUesaGDs2"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790181473-d75iZL52Rda4k2thcNQX"
upstream_id"resp_09a7f39921945f3f016ab400611d4487d1afec0fffd74e4ca3"
provider_responses
0
endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_09a7f39921945f3f016ab400611d4487d1afec0fffd74e4ca3"
is_byokfalse
latency831
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.0431616
cache_discount0.0074304
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences79
tagDensity0.063
leniency0.127
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1465
totalAiIsmAdverbs0
found(empty)
highlights(empty)
100.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
93.17% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1465
totalAiIsms2
found
0
word"flicker"
count1
1
word"tracing"
count1
highlights
0"flicker"
1"tracing"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences103
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences103
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences177
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1465
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions94
wordCount1063
uniqueNames13
maxNameDensity3.01
worstName"Rory"
maxWindowNameDensity4.5
worstWindowName"Rory"
discoveredNames
Rory32
Silas15
Blackwood1
Cardiff2
Evan5
Raven1
Nest1
Eva32
Golden1
Empress1
Yu-Fei1
Cheung1
Soho1
persons
0"Rory"
1"Silas"
2"Blackwood"
3"Evan"
4"Raven"
5"Nest"
6"Eva"
7"Empress"
8"Yu-Fei"
9"Cheung"
places
0"Cardiff"
1"Golden"
2"Soho"
globalScore0
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences82
glossingSentenceCount1
matches
0"sounded like the same girl who once climbe"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1465
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences177
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs120
mean12.21
std13.88
cv1.137
sampleLengths
010
126
29
31
435
55
66
76
837
936
107
113
1227
134
144
156
165
1759
1831
1922
205
212
227
236
2421
2544
266
271
288
294
3014
3120
325
333
341
3512
3634
378
384
392
402
415
4227
4356
447
453
464
474
484
497
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences103
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs187
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount2
flaggedSentences2
totalSentences177
ratio0.011
matches
0"Old maps hung beside black-and-white photographs; their glass frames caught the green flicker from the sign outside."
1"Ice rattled in a shaker; someone argued over a tab."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1066
adjectiveStacks1
stackExamples
0"lay close against her"
adverbCount22
adverbRatio0.020637898686679174
lyAdverbCount1
lyAdverbRatio0.0009380863039399625
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences177
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences177
mean8.28
std5.75
cv0.694
sampleLengths
010
110
216
39
41
53
617
76
89
95
106
116
1214
136
148
159
167
1714
1815
197
203
216
2221
234
244
256
265
275
2824
298
3022
3118
3213
337
3415
355
362
377
386
397
4014
412
4216
4317
449
456
461
478
484
495
47.18% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.2598870056497175
totalSentences177
uniqueOpeners46
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences99
matches
0"Then she rubbed her thumb"
1"Once, Eva would have furnished"
2"Then she put both hands"
ratio0.03
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences99
matches
0"She set it on the"
1"Her hair, once a mass"
2"His hazel eyes moved between"
3"She could manage an old"
4"She wore a plain navy"
5"Her gaze went to the"
6"She had named which clothes"
7"She had sounded like the"
8"His silver signet ring tapped"
9"He went to the other"
10"She set the glass exactly"
11"She had always given Rory"
12"She tucked it in with"
13"She knew which doors in"
14"She had waited while Rory"
15"She could no longer picture"
16"She shifted her coat before"
17"He ordered a whisky and"
18"Her shoulders sank, then squared"
19"She looked at him rather"
ratio0.263
10.51% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount89
totalSentences99
matches
0"The woman caught Rory’s glass"
1"She set it on the"
2"Rory knew the gesture before"
3"Eva looked up."
4"Her hair, once a mass"
5"A pale line crossed her"
6"Neither change accounted for the"
7"His hazel eyes moved between"
8"Rory shook her head before"
9"She could manage an old"
10"Eva placed her coat over"
11"She wore a plain navy"
12"Years ago, she would have"
13"Her gaze went to the"
14"Rory watched her count the"
15"Eva pulled out the stool."
16"Rory had not seen her"
17"Eva had kept Rory talking"
18"She had named which clothes"
19"She had sounded like the"
ratio0.899
50.51% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences99
matches
0"Now they sat close enough"
ratio0.01
95.24% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences45
technicalSentenceCount3
matches
0"Then she rubbed her thumb across her forefinger, as if the glass had left something there."
1"Silas handed a dustpan to the man who had knocked it over, then watched him collect the larger pieces before going back for the smaller ones."
2"She saw Eva back in her mother’s kitchen, holding a phone against her ear and telling Rory to leave Evan’s keys on the table."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences79
tagDensity0.038
leniency0.076
rawRatio0
effectiveRatio0
89.6866%