Run: 2026-02-19-01KHTRD5MNBEG9ZGYYR0214EHB

Run Details

Model:
o4 Mini
Duration:
23.6s
Cost:
$0.012991
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 pushed through the door of The Raven’s Nest and froze beneath the green glow. The neon cut across her face, sharp as a verdict. Smoke curled in lazy ropes beneath low beams. She’d walked these streets a thousand times, but inside the bar felt foreign. At the counter, a tall man buffed a crystal tumbler. Hazel eyes lifted. The light caught the silver signet on his right hand. His left leg bore weight unevenly. He straightened, spine rigid, as if bracing against wind. Her pulse hammered. Every breath tasted of memory. “Rory?” She slid her scarf from her neck, heat clinging to skin. “Silas.” He set the glass down without a sound other than the rim’s soft chime. His limp carried him forward. Each step measured. She moved around a high-top table where darted shadows played against old maps pinned to walls. The photographs in black and white seemed to watch as she approached: London in wartime, spies in rain-coated trenches. All secrets and half-truths. Silas folded his arms on the bar’s polished wood. He kept his distance. “I didn’t expect you back in Soho.” His voice had the calm precision of a surgeon’s blade. Her shoulders tensed. She pressed fingers to the crescent scar on her left wrist, tracing its curve. “Closed my shift early.” He frowned, wrenching the edge of his apron between thumb and forefinger. “Still delivering for Yu-Fei?” She tucked hair behind an ear, hair that once fell past her shoulder. Now cut to brush her collarbone. “Yes.” He nodded as though he’d heard that answer thousands of times and it still stung. He jerked his chin toward a pair of stools. “Sit.” Aurora slid onto one. The vinyl groaned under her weight. He poured amber liquid from a cask behind him—then hesitated. Poured water into a second glass instead and placed it before her. She stared at the clear liquid, then at him. “Don’t think I’m here for comfort.” He caught her gaze. Something in his expression—long years stored in the hollow beneath his eyes. “Comfort is overrated.” She lifted the glass, braced it on the counter. Cold bit her palm. “I wanted to see if the stories about this place were true.” He scooped up the whiskey, swirled it, lips brushing the rim. “Plenty of stories.” She watched the amber swirl, cables of light dancing in its depths. “You look different,” he said. Her laugh came ragged, skidding against ribs. “Try twenty-six months steering a bike through Buckingham traffic. Tell me you wouldn’t change.” Silas leaned back, cracked the glass against the wood, tapped out a rhythm. “You left school mid-semester. Vanished from Cardiff. You skipped town. Don’t blame the bike.” Silence. The bar hummed around them—glasses clinking, hushed voices, a door rattling as someone left. Aurora touched the scar again. “There were reasons.” He rose, stepped around the bar. His movements still precise despite the limp. He stood close enough that she registered the faint scent of tobacco and old pine on his jacket. “I heard you married,” he said. Her elbow rested on the counter. “Evan.” Silas’s fingers curled on the wood. “I knew him.” She stared at his knuckles. “You knew everything.” He dug keys from his pocket, weighed them before letting them drop back inside. “I lost touch after Prague.” Her heart twisted. Prague came up rarely—an operation gone wrong, lives fractured. “You could have reached out,” he said. She shut her eyes. Images flashed—his face above her cot in the flat upstairs, his voice whispering code words in the dark. Moments she’d shoved behind locked doors. “I didn’t think you’d answer,” she whispered. His jaw flexed. “I always answer.” She eyed the map of Europe behind him, pinpointed a thimble of red light on Prague. “You shut me out.” He tapped the counter once. “I had my own ghosts.” She swallowed, fingers slack. “I saw your flat. Notes on that bookshelf. Photographs I shouldn’t have touched.” He held up a hand, as if to still her. “I kept that room in case you came back.” Her breath caught. He’d left the secret door open for her—welcome sign carved in wood. She looked at him, really looked: greying temples, fine lines at the corners of eyes, the way he held a glass like it held answers. She remembered him as giant oak—steadfast, immovable. “You changed,” she said. He cracked a grin—small, reluctant. “You too.” She tried to smile, but it sharpened around edges. “At least you still pour a good drink.” He gestured at the whiskey. “Taste.” Aurora slipped the glass to her mouth, let the warmth spread. Then laid it back. “Smooth.” He watched her swallow. Then spoke: “What brought you back?” The question landed like a pebble in a pond. Ripples of guilt. Regret. Her gaze drifted to a photograph: a mid-century couple dancing under a streetlamp. Their shoes scuffed, faces blurred. “I needed a bar I could trust.” He rested an elbow on the bar. “I missed you at Yu-Fei’s.” She stiffened. “You came by.” He smiled, slow. “Every Thursday.” Time lurched. He’d been there. Hearing her orders, her apologies, her sharp laugh. She’d never looked up to see him. Her tears burned. She blinked them away. “I was busy.” “Busy is a good excuse.” He tapped the ring, silver glowing. “For everything.” She dropped her gaze to her hands—bone-white against the dark wood. “I ran.” He slid off his stool and nudged out the hidden bookshelf panel. Light from the secret room pooled at his feet. She shook her head. “No—don’t.” He straightened. “Come inside.” She hesitated. But the spill of lamplight looked like safety. She stood and followed, boots echoing. Inside the back room, maps lay spread across a table, pins marking distant cities. Loose papers, faded photographs. A battered typewriter sat in one corner, keys clacked as if waiting. He shut the door. The click tapped in her chest. “No clients allowed,” she whispered. “A few years ago,” he said. He turned, hands in pockets. “But we’re overdue.” She ran a finger over a map. “You kept doing this?” He shrugged. “Fragments of old life.” She lifted a small photograph—her younger self, hair longer, face free. Next to her, Evan’s arm draped possessively. She pressed the picture to her chest. “It poisoned everything.” He stood behind her. “You deserved better.” Her tears spilled then. She dropped the photo on the map. “I tried to fight. I thought I could… but I lost myself.” He slipped an arm around her shoulders. Warmth spread through ribs. He turned her so she faced him. Her bright blue eyes shone glassy. “I should have been here,” he said. She jerked back. “No. You had your own war to fight.” His eyes darkened. “You were part of it.” She let out a hollow laugh. “I ran away.” He grasped her elbow. “You brought back more than grief.” He tapped his chest. “You brought hope.” She stared up at him. Years of distance shrank in that moment. Memories of nights spent pouring over codes, of arguments, of laughter echoing against cellar walls. “I can’t stay,” she said after a long beat. “Not yet.” He nodded, pain slipping into his features. He opened the door to the bar’s hidden exit. Light from the main room cut a path. She paused in the threshold. He reached out, fingertips brushing her scar. The crescent glowed in the low light. “You’ll come back,” he said. She didn’t answer. Her silhouette flickered against green neon as she stepped into the bar. He watched until the door swung shut. Footsteps faded into the night. He lingered by the hidden latch, fingers still trembling. On the table behind him, a map’s pin trembled too, as though stirred by the weight of everything left unsaid.
created_at"2026-02-19T10:51:20.607Z" 2/19/2026, 10:51:20 AM
model"openai/o4-mini-2025-04-16"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4066
moderation_latency(null)
generation_time23193
tokens_prompt1094
tokens_completion2692
native_tokens_prompt982
native_tokens_completion2707
native_tokens_completion_images0
native_tokens_reasoning896
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"
usage0.012991
router(null)
provider_responses
0
endpoint_id"bd121898-b27c-4e2c-bc92-278627465a54"
id"resp_05404f121c81afa1016996eb28adac8193a7fd4c821c464d64"
is_byokfalse
latency100
model_permaslug"openai/o4-mini-2025-04-16"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771498280-wHKjZ29usb39TA0ndWAQ"
upstream_id"resp_05404f121c81afa1016996eb28adac8193a7fd4c821c464d64"
total_cost0.012991
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
totalTags13
adverbTagCount0
adverbTags(empty)
dialogueSentences60
tagDensity0.217
leniency0.433
rawRatio0
effectiveRatio0
96.20% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1317
totalAiIsmAdverbs1
found
0
adverb"really"
count1
highlights
0"really"
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)
24.07% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1317
totalAiIsms20
found
0
word"crystal"
count1
1
word"weight"
count3
2
word"pulse"
count1
3
word"measured"
count1
4
word"tracing"
count1
5
word"dancing"
count2
6
word"depths"
count1
7
word"silence"
count1
8
word"fractured"
count1
9
word"warmth"
count2
10
word"lurched"
count1
11
word"echoing"
count2
12
word"flickered"
count1
13
word"footsteps"
count1
14
word"trembled"
count1
highlights
0"crystal"
1"weight"
2"pulse"
3"measured"
4"tracing"
5"dancing"
6"depths"
7"silence"
8"fractured"
9"warmth"
10"lurched"
11"echoing"
12"flickered"
13"footsteps"
14"trembled"
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
narrationSentences143
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences143
filterMatches(empty)
hedgeMatches
0"seemed to"
1"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences189
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen25
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1298
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions14
wordCount1037
uniqueNames8
maxNameDensity0.39
worstName"Aurora"
maxWindowNameDensity1
worstWindowName"Prague"
discoveredNames
Raven1
Nest1
London1
Europe1
Prague2
Evan1
Aurora4
Silas3
persons
0"Raven"
1"Evan"
2"Aurora"
3"Silas"
places
0"London"
1"Europe"
2"Prague"
globalScore1
windowScore1
58.54% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences82
glossingSentenceCount3
matches
0"as if bracing against wind"
1"looked like safety"
2"as if waiting"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1298
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences189
matches
0"heard that answer"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs82
mean15.83
std9.3
cv0.587
sampleLengths
046
138
28
31
412
522
639
713
817
921
1016
1120
1225
1332
1415
1519
1625
1714
1812
195
2021
2127
2215
238
2431
256
267
279
288
2919
3012
317
3228
337
346
3520
3610
3717
3819
3915
4032
414
427
4317
446
4516
4610
4713
4825
4912
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences143
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs204
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount11
semicolonCount0
flaggedSentences10
totalSentences189
ratio0.053
matches
0"He poured amber liquid from a cask behind him—then hesitated."
1"Something in his expression—long years stored in the hollow beneath his eyes."
2"The bar hummed around them—glasses clinking, hushed voices, a door rattling as someone left."
3"Prague came up rarely—an operation gone wrong, lives fractured."
4"Images flashed—his face above her cot in the flat upstairs, his voice whispering code words in the dark."
5"He’d left the secret door open for her—welcome sign carved in wood."
6"She remembered him as giant oak—steadfast, immovable."
7"He cracked a grin—small, reluctant."
8"She dropped her gaze to her hands—bone-white against the dark wood."
9"She lifted a small photograph—her younger self, hair longer, face free."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1052
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.027566539923954372
lyAdverbCount4
lyAdverbRatio0.0038022813688212928
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences189
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences189
mean6.87
std4.41
cv0.642
sampleLengths
015
110
28
313
410
53
610
76
89
93
105
111
1211
131
1414
155
163
1716
1819
194
209
214
2217
233
2414
254
2612
274
2813
296
301
3115
329
331
344
356
3610
3712
389
396
404
4112
423
439
444
4512
4611
473
4812
495
50.79% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.31746031746031744
totalSentences189
uniqueOpeners60
26.46% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences126
matches
0"Then laid it back."
ratio0.008
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount83
totalSentences126
matches
0"She’d walked these streets a"
1"His left leg bore weight"
2"He straightened, spine rigid, as"
3"Her pulse hammered."
4"She slid her scarf from"
5"He set the glass down"
6"His limp carried him forward."
7"She moved around a high-top"
8"He kept his distance."
9"His voice had the calm"
10"Her shoulders tensed."
11"She pressed fingers to the"
12"He frowned, wrenching the edge"
13"She tucked hair behind an"
14"He nodded as though he’d"
15"He jerked his chin toward"
16"He poured amber liquid from"
17"She stared at the clear"
18"He caught her gaze."
19"She lifted the glass, braced"
ratio0.659
15.56% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount112
totalSentences126
matches
0"Aurora pushed through the door"
1"The neon cut across her"
2"Smoke curled in lazy ropes"
3"She’d walked these streets a"
4"Hazel eyes lifted."
5"The light caught the silver"
6"His left leg bore weight"
7"He straightened, spine rigid, as"
8"Her pulse hammered."
9"Every breath tasted of memory."
10"She slid her scarf from"
11"He set the glass down"
12"His limp carried him forward."
13"Each step measured."
14"She moved around a high-top"
15"The photographs in black and"
16"Silas folded his arms on"
17"He kept his distance."
18"His voice had the calm"
19"Her shoulders tensed."
ratio0.889
39.68% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences126
matches
0"Now cut to brush her"
ratio0.008
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences38
technicalSentenceCount0
matches(empty)
86.54% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount1
matches
0"He tapped, silver glowing"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount2
fancyTags
0"she whispered (whisper)"
1"she whispered (whisper)"
dialogueSentences60
tagDensity0.167
leniency0.333
rawRatio0.2
effectiveRatio0.067
79.9278%