Run: 2026-07-09-01KX404549DESN6PVF97YWGDDQ

Run Details

Duration:
32.3s
Cost:
$0.048188
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
Aurora caught the glass before it struck the floor, though the gin still sloshed over her knuckles. “Careful,” Silas called from behind the bar. “That one costs more than your hourly wage.” “It was making a break for it.” “Then it has sound instincts.” She set the glass down and wiped her hand on the black apron tied over her jeans. The Raven’s Nest pressed close around her, warm with bodies and old wood, the air salted by spilt lager and fried onions from the kitchen next door. Maps sagged beneath their frames along the walls. Men in old photographs stared down from another century, all hard collars and hollow eyes. Above the door, the green neon raven flickered through the front window, staining the pavement an unhealthy colour. A woman at the end of the bar laughed. Aurora looked up. The sound caught on something deep inside her. Not the laugh itself. Its shape. A sharp little bark at the start, then a breath sucked through the teeth, as if amusement had surprised her. The woman sat alone beneath a photograph of Prague Castle. Her hair had once been a tangled mass of dark curls that smelt of rain and cheap apple shampoo. Now it hung in a smooth blond sheet to her collarbones. She wore a cream coat with the label still stitched inside the cuff, and a thin gold watch that glinted each time she raised her glass. Aurora stood with the damp cloth clenched in one fist. The woman turned. For a moment, neither moved. “Rory?” Aurora put the cloth beneath the till. “Eva.” Eva’s face broke open, not quite into a smile. “Christ.” “People usually say hello first.” “You’re here.” “I work here.” “I can see that.” Silas dried a tumbler with slow, deliberate strokes. His hazel eyes travelled from Eva to Aurora and back again. He knew better than to ask questions in front of strangers. His silver signet ring clicked against the glass. “Friend of yours?” he asked. “An old one,” Eva said. Aurora reached for the nearest bottle. “What are you drinking?” “White wine.” “We have two kinds. One is sour enough to remove wallpaper. The other costs eighteen pounds a glass.” Eva looked at the wine in front of her. “Wallpaper, then.” “You always did enjoy punishment.” A faint colour rose in Eva’s cheeks. “Still quick.” “Still thirsty?” Silas took the bottle from Aurora before she could pour. He filled Eva’s glass, then set it down with the care of a man laying a flower on a grave. “Tab stays open,” he said. “Until it doesn’t.” Eva nodded at him. “Thank you.” Silas walked to the far end of the bar, his left leg dragging by a fraction. He began polishing taps that had no need of polishing. Aurora should have returned to the stack of glasses. The evening crowd needed serving. A pair of American tourists had been arguing over the dartboard for ten minutes. A man with a purple tie kept waving an empty pint at her as if she had blinded him. Yet Eva sat under the Prague photograph with both hands around her wine, watching Aurora as though the years between them had narrowed to a crack in the pavement. “You cut your hair,” Eva said. “It grew back.” “You know what I mean.” “I do. That’s why I answered properly.” Eva’s mouth twitched. She had once made whole rooms bend towards her. At sixteen, she had worn school skirts too short and claimed she had never read a rule she respected. Teachers called her disruptive. Boys called her fearless. Aurora had called her when Evan first shoved her against the kitchen wall in Cardiff, then spent an hour insisting it was nothing. Eva had said, Leave. Aurora had not. “Can we talk?” Eva asked. “We are talking.” “Somewhere less public.” Aurora glanced at the shelves behind Silas. A tall case of battered books leaned against the rear wall, packed with old spy novels, travel guides, and a row of leather-bound volumes nobody touched. Behind it sat the room Silas used for conversations that could not survive daylight. “No,” Aurora said. Eva lowered her gaze to the glass. That hurt more than Aurora wanted it to. “What brings you to Soho?” Aurora asked. “Work.” “You work now?” “I did before.” “You danced in a basement that charged six pounds for a bottle of warm beer.” “I also had a job.” “You made fake IDs.” “I made access cards. There’s a difference.” “Only if you get caught.” Eva’s fingers brushed the gold watch. “I work in compliance.” Aurora laughed. It came out harder than she meant. “Compliance.” “Yes.” “Eva Morgan, who once forged a note from the Welsh Assembly to get us out of double chemistry.” “It was convincing.” “It had a dragon in the corner wearing sunglasses.” “It got us out of double chemistry.” A man shoved through the crowd, struck Aurora’s shoulder, and muttered an apology that never reached his eyes. She steadied herself against the bar. Eva watched the movement with a quick flare of concern, then hid it behind her wine. “You look well,” Eva said. “That’s a cruel thing to say to someone in an apron.” “You look like yourself.” Aurora looked down at the crescent scar on her wrist. The old pale mark showed whenever she forgot to pull her sleeves low. At nine, she had climbed through a broken greenhouse window after Eva dared her. Blood had run down her arm in bright threads. Eva had used her own jumper to bind it, crying so hard she could barely tie the knot. “You don’t,” Aurora said. Eva nodded once. “No.” The answer robbed Aurora of her next line. The bar thinned around them in waves. People left coins, fingerprints, scraps of talk. Outside, taxis slid past the window. The green neon shivered over umbrellas and faces. A courier in a yellow jacket pressed his helmet to his chest and argued with someone over a phone. Silas appeared beside Aurora and placed a small dish of nuts in front of Eva. “No charge,” he said. Eva looked up. “I didn’t order these.” “You look like you need salt.” Then he moved away. Eva took one nut, rolled it between her fingers, and put it back. “I saw your father,” she said. Aurora’s hands stopped. “Where?” “Cardiff. Near the court buildings. Last month.” “You went to Cardiff.” “I had a case.” “Compliance takes you to court?” “Sometimes.” “What case?” Eva’s smile looked assembled, piece by piece. “One with paperwork.” Aurora picked up the glass she had saved and set it on a shelf. “My father doesn’t drink,” she said. “I know.” “Then why were you in a pub with him?” Eva’s gold watch went still beneath her thumb. “He asked me to meet him.” Aurora looked towards Silas. He had heard. Of course he had. The man at the purple tie lifted his glass again. Silas pointed one thick finger towards a chalkboard sign that read WAIT YOUR TURN OR DIE THIRSTY. “When?” Aurora asked. “Three weeks ago.” “And you came all the way to London to mention it now?” “I came because I needed to see you.” “You had my number.” “I called it.” Aurora felt the old mobile in the pocket of her apron, the cheap one she used for deliveries. The other phone, her private one, lay upstairs in the flat above the bar. She had ignored three unknown calls that week. London taught women to ignore unknown calls. It was a lesson with teeth. “You left messages?” “No.” “Then you didn’t call me.” Eva leaned closer. Her perfume carried a dry, expensive scent, something crushed and pale. It did not suit the girl Aurora remembered, who had smelled of cigarettes, mint gum, and the chemical sweetness of nightclub fog. “Your father asked whether you were safe.” Aurora’s jaw tightened. “He knows where I live?” “He knows you live above this bar.” “Did you tell him?” “No.” “Did my mother?” “I don’t know.” Aurora turned and took a pint order from a man in a suit. She pulled the tap, set the glass down, took his money. Her hands worked with the calm rhythm they had learned after Evan. Do one thing. Then another. Do not give the body a chance to decide it is trapped. When she faced Eva again, the old friend had tears bright in her eyes but did not let them fall. “He said he was sorry,” Eva said. Aurora gave a short laugh. “For what, exactly? The full catalogue would take us into breakfast.” “He said he should have come to get you.” “He should have.” “I know.” “You don’t get to say that like it belongs to you.” Eva flinched. Good, Aurora thought, and hated the satisfaction at once. “Your mum asked him not to,” Eva said. “She thought you needed space. He thought Evan would calm down. They both thought it was a bad patch.” “A bad patch.” “He used those words.” Aurora folded the damp cloth into a square. Then smaller. Then smaller again. “He came to London once,” Eva said. Silas stopped polishing the tap. Aurora raised her eyes. “What?” “Your father. He came down after you left Cardiff. He stood outside the building Evan gave him.” “Evan never gave him my address.” “Evan gave him an address. Your father said a woman answered and told him you’d moved out weeks before. He believed her.” Aurora felt the floor shift under her trainers. Not enough to make her fall. Enough to make every object around her seem badly placed. “I lived there,” she said. “I know.” “How?” Eva pressed both palms flat against the bar. Her nails bore a sheer pink gloss, perfect and bloodless. “Because I saw you there.” Aurora stared at her. “You came to London,” she said. “I came twice.” “You knew where I was.” “I found out after you stopped answering.” “You knew.” “I stood across the road. I saw him through the window.” The noise in the bar seemed to draw away. The dart struck the board. A glass broke somewhere near the back. Silas said something low to a customer, but Aurora could not make out the words. “You saw him,” Aurora said. Eva swallowed. “He had his hand around your arm.” “And you left.” “I called the police.” “Did you?” “They said they needed an address. I gave them one. Then I waited. Nobody came.” “And you left.” “I was eighteen.” “So was I.” “You told me not to come.” “I told you lots of things because he stood beside me when I said them.” Eva’s face crumpled, then hardened around the damage. “I know that now.” “Congratulations.” “He found me after.” Aurora’s fingers closed around the edge of the bar. Eva looked past her, towards the dark mouth of the entrance. “He knew my name. He knew my mum’s address. He said you had no friends left in Cardiff, and I should stop making trouble for people who had never asked for saving.” The Raven’s Nest door opened. The green neon flashed across the man who stepped inside. He had grown heavier through the shoulders. His hair had thinned at the temples. A dark coat hung open over a blue shirt, and his eyes moved across the room with the old patient ownership, as if every face had been placed there for his inspection. Evan saw Aurora. Then he smiled.
created_at"2026-07-09T17:52:03.731Z" 7/9/2026, 5:52:03 PM
model"openai/gpt-5.6-terra-20260709"
app_id182717
external_user(null)
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cancelledfalse
latency2058
moderation_latency(null)
generation_time32167
tokens_prompt4618
tokens_completion3320
native_tokens_prompt4131
native_tokens_completion2524
native_tokens_completion_images0
native_tokens_reasoning113
native_tokens_cached0
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"
usage0.0481875
router(null)
provider_responses
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endpoint_id"3cc89000-ae34-4dde-9c7d-5ce009c8af0b"
id"resp_076328069d5c42b4016a4fdfc3d43481969035a6d20b39ccce"
is_byokfalse
latency211
model_permaslug"openai/gpt-5.6-terra-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783619523-QD7yiGSkR6oWsqtTorN7"
session_id(null)
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api_type"completions"
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upstream_id"resp_076328069d5c42b4016a4fdfc3d43481969035a6d20b39ccce"
total_cost0.0481875
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
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data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags20
adverbTagCount0
adverbTags(empty)
dialogueSentences124
tagDensity0.161
leniency0.323
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1917
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)
89.57% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1917
totalAiIsms4
found
0
word"flickered"
count1
1
word"grave"
count1
2
word"charged"
count1
3
word"perfect"
count1
highlights
0"flickered"
1"grave"
2"charged"
3"perfect"
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
narrationSentences147
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences147
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences251
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1917
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions38
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions97
wordCount1283
uniqueNames11
maxNameDensity3.04
worstName"Aurora"
maxWindowNameDensity4.5
worstWindowName"Eva"
discoveredNames
Raven2
Nest2
Prague2
Castle1
Eva34
Aurora39
American1
Evan3
Cardiff1
Leave1
Silas11
persons
0"Raven"
1"Nest"
2"Eva"
3"Aurora"
4"Evan"
5"Silas"
places
0"Prague"
1"Castle"
2"Cardiff"
globalScore0
windowScore0.167
95.65% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences92
glossingSentenceCount2
matches
0"not quite into a smile"
1"appeared beside Aurora and placed a small dish of nuts in front of Eva"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1917
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences251
matches
0"curls that smelt"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs176
mean10.89
std14.62
cv1.342
sampleLengths
017
115
27
35
485
59
63
734
866
910
103
115
121
137
141
1510
165
172
183
194
2038
215
225
2310
242
2518
2611
275
289
292
3030
318
326
3326
3476
356
363
375
387
3962
404
413
425
433
443
4547
463
477
488
497
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences147
matches
0"been placed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs227
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences251
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1284
adjectiveStacks0
stackExamples(empty)
adverbCount40
adverbRatio0.03115264797507788
lyAdverbCount2
lyAdverbRatio0.001557632398753894
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences251
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences251
mean7.64
std5.98
cv0.783
sampleLengths
017
17
28
37
45
517
627
78
815
918
109
113
128
134
142
1520
1610
1719
1811
1926
2010
213
225
231
247
251
269
271
285
292
303
314
328
3311
3411
358
365
375
386
394
402
4118
429
432
445
457
462
472
4810
4920
44.42% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.2788844621513944
totalSentences251
uniqueOpeners70
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences122
matches
0"Then he moved away."
1"Of course he had."
2"Then smaller again."
3"Then he smiled."
ratio0.033
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences122
matches
0"She set the glass down"
1"Her hair had once been"
2"She wore a cream coat"
3"His hazel eyes travelled from"
4"He knew better than to"
5"His silver signet ring clicked"
6"He filled Eva’s glass, then"
7"He began polishing taps that"
8"She had once made whole"
9"It came out harder than"
10"She steadied herself against the"
11"He had heard."
12"She had ignored three unknown"
13"It was a lesson with"
14"Her perfume carried a dry,"
15"It did not suit the"
16"She pulled the tap, set"
17"Her hands worked with the"
18"Her nails bore a sheer"
19"He had grown heavier through"
ratio0.172
37.87% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount103
totalSentences122
matches
0"Aurora caught the glass before"
1"Silas called from behind the"
2"She set the glass down"
3"The Raven’s Nest pressed close"
4"Maps sagged beneath their frames"
5"Men in old photographs stared"
6"A woman at the end"
7"Aurora looked up."
8"The sound caught on something"
9"A sharp little bark at"
10"The woman sat alone beneath"
11"Her hair had once been"
12"She wore a cream coat"
13"Aurora stood with the damp"
14"The woman turned."
15"Aurora put the cloth beneath"
16"Eva’s face broke open, not"
17"Silas dried a tumbler with"
18"His hazel eyes travelled from"
19"He knew better than to"
ratio0.844
40.98% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences122
matches
0"Now it hung in a"
ratio0.008
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences51
technicalSentenceCount3
matches
0"A sharp little bark at the start, then a breath sucked through the teeth, as if amusement had surprised her."
1"He began polishing taps that had no need of polishing."
2"A dark coat hung open over a blue shirt, and his eyes moved across the room with the old patient ownership, as if every face had been placed there for his inspe…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags20
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags20
fancyCount0
fancyTags(empty)
dialogueSentences124
tagDensity0.161
leniency0.323
rawRatio0
effectiveRatio0
90.2831%