Run: 2026-02-19-01KHTQRHQYF4S48K09PTSX3Z3S

Run Details

Model:
o4 Mini
Duration:
21.7s
Cost:
$0.012489
Provider:
OpenAI

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
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> Continue the story using 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 stepped inside The Raven’s Nest and the green neon glow washed over her face. She paused under the sign, waiting for her eyes to adjust to the dim interior. The bar’s walls were lined with maps and black-and-white photographs, every dusty picture a fragment of some clandestine past. She tugged her satchel strap, remembered the night air outside, crisp and promising. Here, she’d dropped off dozens of deliveries. Tonight, she lingered. A cluster of patrons huddled around a low table in the corner, voices muted. Bar stools creaked in rhythm with the barmaid’s footsteps. The scent of old whiskey and wood polish wrapped around her like a familiar coat. She struck out for the counter, scanning faces she half-recognised—regulars who nodded in greeting, and newcomers who kept their heads down. A soft click of his boot against the hardwood floor stopped her. He stood behind the bar, sleeves rolled up, exposing lean forearms. Hazel eyes caught hers. Silver hair streaked through auburn where it framed a face both lined and strong. A neatly trimmed beard gave him the air of authority he’d never lost. He wore his signet ring on the right hand, its crest catching the faint light. One shoulder was slightly higher where he favoured his injured leg. She swallowed. “Silas?” He straightened. A sharp exhale. His limp sounded as he crossed to meet her. “Aurora.” He tilting his head, assessing her. His eyes traced her straight black hair, her bright blue eyes. The small crescent scar on her left wrist peeked from under the cuff of her jacket. Familiar, yet distant. She pressed her lips together, remembered the years. Remembered nights of frantic essays in his living room. Remembered him raising a brow at her pre-law jargon. Remembered laughter. And the silence that swallowed them after she ran away to reach London. “I wasn’t expecting—” She cleared her throat. “I was here to pick up a late supper.” He dipped his chin. “Yu-Fei’s still serving until midnight. Lucky for you.” She offered a half-smile, sliding onto a stool. The bar surface felt cold beneath her palms. She glanced at his limp. The slight hitch in his gait looked as old as the maps behind him. “That knee?” “Doesn’t stop me.” He leaned forward, fingers brushing the bar. “Someone needs to keep the Nest standing.” She nodded, though her eyes flicked to the bottles behind him. Rows of amber mason jars, each one labelled with a different corner of the world. Prague. Moscow. Riyadh. Memories she hadn’t known she stored in those glass walls. “Your hair.” She touched a lock as if she could summon the past. “Grey now.” He offered a crooked grin. “Fifty-eight. You expected me twenty-five?” She sighed. “You were always too young to grow old.” Silas’s face softened. He set a tumbler before her. It held nothing but ice and a twisting curl of orange. “No charge. Call it an old friend’s treat.” His hand hovered over it then retreated. “You want something stronger?” She shook her head, lifted the glass. The ice caught the light. “I’ll stick to this. I’m off the clock.” She turned the glass, studied the droplets sliding down the side. “You?” He leaned back. His foot tapped once, twice, then settled. “Nothing. I’ve got a plan to keep everyone talking.” He swallowed. “But that’s for later.” A lull fell between them. Aurora’s throat tightened without warning. She wanted to ask how he’d come to run a bar. She’d pictured him in some MI6 safe house, passport in hand. Not here, folding napkins behind a counter. “Why did you leave Cardiff?” he asked, voice soft enough not to draw attention. Steel gathered in her chest. “Doesn’t matter anymore.” He flipped the signet ring between his fingers. “It matters to me.” She drew a breath, nearly regretted it. “I had to. I… things happened.” She glanced at the scar on her wrist. “I wasn’t safe there.” He knuckled his jaw. “I wish you’d told me.” She set the glass down. It made a hollow sound. “And have you come bail me out? Send me back? I didn’t want pity.” He studied the maps on the wall. “I would’ve come for you.” Anger pricked her veins. “You didn’t.” Silas closed his eyes, leaned into the bar. The neon green flickered across his face. “I was afraid I’d lose you if I tried.” She exhaled. Long. “You lost me anyway.” He opened his eyes, raw regret shining there. “I couldn’t break protocol. I was moving pieces across Europe. You were small compared to an operation in Prague.” She let that go. “We’re not talking about Prague.” His jaw tightened. Lines appeared at the corners of his eyes. “I know.” A pause. The bar quieted. A barmaid dropped a tray in the kitchen, tin clattering against iron. Aurora swallowed again. She pushed off the stool, ran a hand through her hair. “You’ve changed.” His eyes danced. “So have you.” She glanced at her reflection in a mirror behind the bottles. The black hair, the blue eyes—still hers. Yet something in her posture, the way she held her shoulders, had shifted. “I used to be a lot less guarded.” He nodded. “I saw you… You were different before Evan.” He let the name hang between them. “He hurt you.” Her jaw set. “That’s over.” He traced the rim of her glass. “It never quite goes away.” She pushed the glass aside. “Enough about him.” Her gaze locked on a photo pinned behind the counter: him with two field agents, rifles slung across their backs. He wore a youthful grin, lighter hair. She reached out, fingertips ghosting across the frame. “You were happy then.” He closed his hand over hers, stilling her. “I was. And then…” He hesitated, pressed his palm tighter. “I lost control of the mission. The rest of my team.” She felt it then—the weight of unspoken things filling the space between them. Regret like smoke pressing at her lungs. She opened her mouth. Closed it again. At last, she said, voice low, “I never thanked you. For all the late nights, for helping me with essays. You believed I’d get somewhere.” He smiled, slow, weathered. “You did.” She laughed, unexpected and brittle. “Barely.” She pulled away, paced a step. “I’m living above your bar now. Delivering food. Not exactly making barrister.” He slid a file folder across the counter. She froze. He didn’t reach for it. “What’s this?” she asked. He curled his lip. “Contacts. A few names. People you might want to meet.” She stared, then shook her head. “You’re not going back to intel work.” He glanced at the bookshelf concealing the secret room. “I never left.” She swallowed hard. The implication sat heavy. “I can’t—” Her breath hitched. “I’m not who I was.” He pressed a finger to her lips, quiet. “Neither am I.” Silence pressed in. She traced his ring again. “Why help me? After everything.” He exhaled, eyes unwavering. “Because I owe you. And I’ve been waiting a long time to settle that debt.” She stared at him, heart thunderous. Images flickered in her mind: him guiding her through logic puzzles, pulling her back from panic attacks when deadlines loomed, patching her up after she burned her hand on the oven at home. Moments small and large. Moments where he’d been steady. Now, standing here, he still held that steadiness. Her hand dropped. She folded her arms. “I have my life now, Silas. I’m not jumping back into shadow work.” He studied her. “I’m not asking you to.” He tapped the folder. “Just look. Then decide.” Her eyes flicked from folder to his face. Time blurred. The bar’s hum slowed, sharpened. Past and present colliding. Across the room, the barmaid placed a bottle of sake on a high shelf. A dull clatter. Patrons shifted, unaware of the silent reckoning unfolding at the counter. Aurora inhaled. She slid her satchel off her shoulder, set it on the floor. She reached for the folder. Fingers trembled. She flicked it open. “Names, dates,” she whispered. “What is this?” His hand rose, ready to explain. He opened his mouth—then paused. Eyebrows drawn together as though searching her face. He closed the space between them so suddenly she felt his breath on her cheek. “You’ll know soon enough,” he said, voice steady. “I won’t hold your hand. But I’ll be here.” Her heart thudded in her chest, catching on old regrets and new possibilities. She looked up at him, saw the man he’d become: strong, cautious, carrying his scars in every measured movement. She touched the edge of the folder again, as if measuring whether to fold it closed or peel back its layers. He gave her a small nod. That gesture held all the years they hadn’t spoken, all the apologies left unvoiced. He leaned back, resting on his good leg first, then the other. Aurora folded the folder and slipped it inside her satchel. The bar’s lights blurred at the edges. Her fingers tightened around the strap. “I’ll read it,” she said, voice flat. He nodded. “That’s all I ask.” She slid off the stool before he could offer another drink or protest. As she turned, she paused in the doorway. The neon green sign flared outside. She looked back at him one last time. His silhouette stood firm behind the bar, maps and photographs spilling secrets in the light behind him. She stepped out. The door swung shut on the muted music and low murmur of voices. Outside, the night air grabbed her lungs. She paused on the pavement, hand on her satchel, fingers lingering over the scar on her wrist. The folder rested against her hip, a promise or a trap she had yet to decide. Inside, through the frosted glass, the green neon still shone. A beacon, or a warning. The door clicked again as someone new entered The Raven’s Nest. Silence fell between Aurora’s heartbeat and her next breath.
created_at"2026-02-19T10:40:04.867Z" 2/19/2026, 10:40:04 AM
model"openai/o4-mini-2025-04-16"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3915
moderation_latency(null)
generation_time21577
tokens_prompt1094
tokens_completion2644
native_tokens_prompt982
native_tokens_completion2593
native_tokens_completion_images0
native_tokens_reasoning320
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.0124894
router(null)
provider_responses
0
endpoint_id"bd121898-b27c-4e2c-bc92-278627465a54"
id"resp_0d421d3cef13a2ae016996e8850ccc819791007ef010710a0f"
is_byokfalse
latency296
model_permaslug"openai/o4-mini-2025-04-16"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771497604-iE0G3hGwX0NfHj0XSmhJ"
upstream_id"resp_0d421d3cef13a2ae016996e8850ccc819791007ef010710a0f"
total_cost0.0124894
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags20
adverbTagCount1
adverbTags
0"She pulled away [away]"
dialogueSentences65
tagDensity0.308
leniency0.615
rawRatio0.05
effectiveRatio0.031
94.02% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1673
totalAiIsmAdverbs2
found
0
adverb"slightly"
count1
1
adverb"suddenly"
count1
highlights
0"slightly"
1"suddenly"
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)
28.27% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1673
totalAiIsms24
found
0
word"clandestine"
count1
1
word"footsteps"
count1
2
word"familiar"
count2
3
word"scanning"
count1
4
word"traced"
count3
5
word"silence"
count3
6
word"flicked"
count3
7
word"flickered"
count2
8
word"weight"
count1
9
word"unspoken"
count1
10
word"implication"
count1
11
word"unwavering"
count1
12
word"loomed"
count1
13
word"trembled"
count1
14
word"measured"
count1
15
word"beacon"
count1
highlights
0"clandestine"
1"footsteps"
2"familiar"
3"scanning"
4"traced"
5"silence"
6"flicked"
7"flickered"
8"weight"
9"unspoken"
10"implication"
11"unwavering"
12"loomed"
13"trembled"
14"measured"
15"beacon"
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
narrationSentences172
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences172
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences217
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1664
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions15
wordCount1306
uniqueNames6
maxNameDensity0.46
worstName"Aurora"
maxWindowNameDensity1.5
worstWindowName"Remembered"
discoveredNames
Raven2
Nest2
London1
Steel1
Aurora6
Remembered3
persons
0"Raven"
1"Steel"
2"Aurora"
places
0"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences100
glossingSentenceCount2
matches
0"as though searching her face"
1"as if measuring whether to fold it closed or peel back its layers"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1664
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences217
matches
0"let that go"
1"held that steadiness"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs67
mean24.84
std17.25
cv0.695
sampleLengths
072
171
268
33
451
541
616
712
837
917
1039
1115
1210
1310
1439
1532
1625
1739
1814
198
2012
2125
229
2324
2412
256
2624
277
2827
299
3013
3133
326
3339
3420
355
3612
3747
3829
3952
406
4124
4219
4314
4413
4512
4617
4711
4813
4919
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences172
matches
0"were lined"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs254
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences217
ratio0.014
matches
0"The black hair, the blue eyes—still hers."
1"She felt it then—the weight of unspoken things filling the space between them."
2"He opened his mouth—then paused."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1314
adjectiveStacks0
stackExamples(empty)
adverbCount33
adverbRatio0.02511415525114155
lyAdverbCount4
lyAdverbRatio0.0030441400304414
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences217
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences217
mean7.67
std5.1
cv0.665
sampleLengths
015
115
219
313
47
53
614
79
815
921
1012
1111
124
1314
1413
1515
1611
172
181
192
203
219
227
2311
2416
253
268
279
289
292
3013
317
329
334
348
358
368
375
3814
392
4010
417
4211
4315
441
451
461
4710
4813
492
47.62% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.31336405529953915
totalSentences217
uniqueOpeners68
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences153
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount89
totalSentences153
matches
0"She paused under the sign,"
1"She tugged her satchel strap,"
2"She struck out for the"
3"He stood behind the bar,"
4"He wore his signet ring"
5"His limp sounded as he"
6"He tilting his head, assessing"
7"His eyes traced her straight"
8"She pressed her lips together,"
9"She cleared her throat"
10"He dipped his chin."
11"She offered a half-smile, sliding"
12"She glanced at his limp."
13"He leaned forward, fingers brushing"
14"She nodded, though her eyes"
15"She touched a lock as"
16"He offered a crooked grin."
17"He set a tumbler before"
18"It held nothing but ice"
19"His hand hovered over it"
ratio0.582
15.56% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount136
totalSentences153
matches
0"Aurora stepped inside The Raven’s"
1"She paused under the sign,"
2"The bar’s walls were lined"
3"She tugged her satchel strap,"
4"Here, she’d dropped off dozens"
5"Tonight, she lingered."
6"A cluster of patrons huddled"
7"Bar stools creaked in rhythm"
8"The scent of old whiskey"
9"She struck out for the"
10"A soft click of his"
11"He stood behind the bar,"
12"Hazel eyes caught hers."
13"A neatly trimmed beard gave"
14"He wore his signet ring"
15"A sharp exhale."
16"His limp sounded as he"
17"He tilting his head, assessing"
18"His eyes traced her straight"
19"The small crescent scar on"
ratio0.889
32.68% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences153
matches
0"Now, standing here, he still"
ratio0.007
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
technicalSentenceCount1
matches
0"She struck out for the counter, scanning faces she half-recognised—regulars who nodded in greeting, and newcomers who kept their heads down."
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags20
uselessAdditionCount4
matches
0"He leaned, fingers brushing the bar"
1"he asked, voice soft enough not to draw attention"
2"he said, voice steady"
3"she said, voice flat"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"she whispered (whisper)"
dialogueSentences65
tagDensity0.092
leniency0.185
rawRatio0.167
effectiveRatio0.031
81.4383%