Run: 2026-03-18-01KM07M9KTQZTWHQAV9DMMCK7N

Run Details

Duration:
31.1s
Cost:
$0.020628
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="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</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> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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
Rain sheeted off the green neon above the Raven’s Nest and turned the pavement into a black mirror. Quinn stood under the awning with her coat half-open and her collar up, watching Soho run wet and bright around her. A taxi hissed past. A drunk sang to nobody near the curb. Inside the bar, the bass from some broken playlist thudded through the brick. Tomás slid the hidden back-room door shut behind him and wiped his hands on a towel the colour of old blood. “He left five minutes ago,” he said, eyes on the street, on Quinn, on the door. “Grey coat. Limp on the right. Took a canvas satchel and something wrapped in cloth.” Quinn glanced at the bookshelf that hid the room and back at him. “Something heavy?” Tomás tipped his head once. The Saint Christopher at his throat caught the light when he moved. “Bone, maybe. Felt wrong in the hand.” Quinn’s jaw tightened. “You touched it?” “I’ve had worse things on me.” “That’s not an answer.” “It was wrapped,” he said, and the corner of his mouth twitched. “You wanted the truth, not comfort.” A door banged open at the front of the bar. Quinn was already moving before she saw the shape spill into the rain. Hood up. Satchel slung low. The man crossed the threshold and froze when he spotted her in the glass reflection. He turned his face away too late. She knew him from the photocopied shot in her pocket. Bram Vance. One of the clique’s couriers. Six arrests, two clean slips, one missing witness statement, and enough false addresses to fill a drawer. He saw her badge clipped inside her coat, and his shoulders snapped tight. “Bram!” He bolted. Quinn pushed through the door and the rain slapped her hard across the face. Vance was already sprinting down Wardour Street, shoes skidding on the slick. She drove after him, shoulders low, boots biting at the pavement. He cut past a queue outside a kebab place, clipped a man’s umbrella, and threw himself into the road between two cabs. “Police!” The shout tore out of her and vanished under the traffic. Vance swung his satchel against his hip and kept running. A bus loomed at the lights, its windows lit with tired faces. Quinn veered around a puddle deep enough to swallow her ankle and caught a glimpse of Vance’s left hand. He held the cloth-wrapped object close to his ribs with two fingers, careful as a thief with a live wire. He glanced back. Their eyes met for half a second. His mouth opened in a grin that carried no humour. “Too slow, Quinn!” He cut into an alley between a vape shop and a nail salon. Quinn followed and the city narrowed to brick, steam, and the stink of fried fat from some unseen kitchen vent. Her shoulder brushed wet brick. A rat shot across the path and vanished under a skipped crate. Vance smashed through a rear door marked STAFF ONLY and kept going. Quinn hit the door with her palm. Locked. She drove her boot into it once. The latch gave and the door flew open on a burst of stale heat and bleach. He had gone out the other side. She emerged onto a service lane where bins stood in slick rows and red kitchen lights burned behind steamed-up windows. Vance vaulted a low fence, landed wrong, and staggered. Quinn gained three metres on him and saw the reason: his right ankle turned in, weak from an old injury. He knew it too. He shoved harder, jaw set, breath tearing. “Bram! Stop or I take you down in the mud!” He hit the pavement at the end of the lane, slipped, and caught himself on one hand. The cloth bundle slid from under his arm. Quinn lunged. He snatched it back before she got close enough to feel it. “Not yours,” he snapped. “Then whose?” His eyes flicked past her shoulder, down the street, toward Camden. “Not for you.” He spun and sprinted again. Quinn swore under her breath and kept after him. The city opened wider as they ran north. Rain flung itself sideways now, hard enough to sting through her hair and jacket. Camden’s lights bled across the wet road in strips of red and white. A busker under a shuttered storefront tried to cover his gear with a bin liner and shouted at them both to get off the road. Vance dodged a police van parked outside a takeaway and cut through a narrow gap beside an off-licence. Quinn followed, breathing through her nose, one hand near the inside of her coat where the weight of her sidearm dragged at the fabric. She heard sirens in the distance and ignored them. This was hers now. Vance had taken it too far to hand over clean. He hit a square of pavement crowded with late-night smokers and shoppers in soaked hoods. People scattered as he crashed through them. A woman yanked her child back with a curse. Someone shouted after him. Quinn shouldered through the last knot of bodies and caught a flash of pale stone steps descending beside a boarded record shop. No sign, no light, just a rusted rail and a mouth of black below street level. Vance paused at the top long enough to look over his shoulder. “Last chance,” he called. Quinn reached the steps and stopped short. The air that rose from below smelled wrong. Damp concrete, old electricity, sharp metal, and something else beneath it, sweet and sour like bruised fruit left too long in a drawer. She heard voices down in the dark, a clatter of glass, the drag of something heavy across tile. No Tube roar. No train. Just movement. Vance palmed the cloth bundle and descended fast. Quinn dropped one step after him, then another. At the bottom, a welded gate cut across an abandoned ticket hall. Beyond it, a man with a shaved head and a scar split along one cheek stood under a hanging work lamp. He wore a black coat over a white shirt that had never seen a station platform in its life. A brass chain looped from his belt to a set of keys. He held out one thick hand. “Token.” Vance reached into his pocket and pulled free a pale object the size of his thumb. Bone, cut and polished to a dirty sheen. He set it in the guard’s palm. The guard turned it once, nodded, and opened the gate. Quinn stepped up behind Vance before it could shut. “Met Police,” she said, and lifted her badge between two fingers. “Open it.” The guard looked at the badge, then at her face, then let out a short laugh that held no warmth. “You’ve got the wrong door.” “I’ve got the man you just waved in.” “Then he should’ve run faster.” Quinn leaned closer. “Listen to me. He’s carrying evidence in there. I want it now.” The guard’s gaze drifted to her damp hair, the mud on her boots, the line of her jaw. “No token.” “I don’t care what your rule is.” “You will when something in that market notices you haven’t got one.” Quinn heard Vance’s footsteps already fading down the corridor. He had not looked back. The gate stood open just long enough for her to see movement beyond it: stalls lit by bare bulbs, hanging charms that shivered on wire, jars of dark powder, glass vials stacked in bruised colours, and faces turned down beneath hoods. A woman weighed what looked like a section of bleached spine in one hand. Another man argued over a box of sealed syringes with silver caps. The whole place hummed low and constant, like an engine idling underground. A voice behind the gate cut through the noise. “Move aside.” Quinn shifted her stance and peered past the guard’s shoulder. Vance was already halfway through the market, his grey coat vanishing between tarps and rusted pillars. He had looked back once and caught her still at the threshold. He mouthed something she couldn’t hear. The guard planted one hand on the gate. “Last warning.” Quinn met his eyes, then dropped her badge back inside her coat. The metal clipped against her zipper. “What’s the price?” she asked. The guard’s mouth tightened, not quite a smile. “That depends on what you’re buying.” Quinn’s hand settled on the frame. The gate gave a dry, rattling shake under her grip. Cold air rolled up from below, carrying incense, wet stone, and the reek of whatever they sold down there with the lights turned low. “I’m not buying.” The guard shifted his weight. “Then you’re in the wrong place.” Quinn looked at the disappearing shape of Vance ahead of her, then at the maze of stalls and shadow beyond the turnstile. She felt the rain on her back, the pulse in her throat, the weight of the badge against her ribs. “Open it,” she said. The guard lifted one shoulder, stepped aside, and Quinn put one boot on the first stair leading down.
created_at"2026-03-18T10:24:58.508Z" 3/18/2026, 10:24:58 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency27735
moderation_latency(null)
generation_time30574
tokens_prompt1140
tokens_completion3362
native_tokens_prompt984
native_tokens_completion4420
native_tokens_completion_images0
native_tokens_reasoning2507
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"
usage0.020628
router(null)
provider_responses
0
endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_0d7ca0f817adbf090169ba7d7a8ed881969e4ecfb308e795b1"
is_byokfalse
latency313
model_permaslug"openai/gpt-5.4-mini-20260317"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773829498-tYhjvGZOZaqXXTcaiQ38"
upstream_id"resp_0d7ca0f817adbf090169ba7d7a8ed881969e4ecfb308e795b1"
total_cost0.020628
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
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences34
tagDensity0.206
leniency0.412
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1519
totalAiIsmAdverbs0
found(empty)
highlights(empty)
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
73.67% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1519
totalAiIsms8
found
0
word"loomed"
count1
1
word"flicked"
count1
2
word"weight"
count3
3
word"warmth"
count1
4
word"footsteps"
count1
5
word"pulse"
count1
highlights
0"loomed"
1"flicked"
2"weight"
3"warmth"
4"footsteps"
5"pulse"
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
narrationSentences123
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences123
filterMatches(empty)
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences150
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen41
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1519
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
62.02% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions49
wordCount1364
uniqueNames11
maxNameDensity1.76
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Raven1
Nest1
Soho1
Quinn24
Saint1
Christopher1
Vance15
Wardour1
Street1
Camden2
Tube1
persons
0"Raven"
1"Quinn"
2"Saint"
3"Christopher"
4"Vance"
5"Tube"
places
0"Soho"
1"Wardour"
2"Street"
3"Camden"
globalScore0.62
windowScore0.833
98.45% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences97
glossingSentenceCount2
matches
0"looked like a section of bleached spine i"
1"not quite a smile"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1519
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences150
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs77
mean19.73
std21.89
cv1.11
sampleLengths
064
121
231
313
42
517
67
76
86
94
1018
1110
1240
1334
1413
151
162
1759
181
1911
2010
2151
223
237
2410
253
2662
2731
287
2960
3010
3139
324
332
3411
353
365
3769
3865
3973
4012
414
427
4356
448
4572
466
471
4841
499
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences123
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs220
matches
0"was already moving"
1"was already sprinting"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences150
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1370
adjectiveStacks0
stackExamples(empty)
adverbCount35
adverbRatio0.025547445255474453
lyAdverbCount1
lyAdverbRatio0.00072992700729927
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences150
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences150
mean10.13
std6.56
cv0.648
sampleLengths
018
121
24
38
413
521
616
715
813
92
105
1112
127
133
143
156
164
1712
186
1910
2013
212
223
2315
247
2510
262
275
2817
2913
301
312
3214
3312
3411
3522
361
3711
3810
3912
4019
4120
423
437
4410
453
4613
4720
485
4912
48.89% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.31333333333333335
totalSentences150
uniqueOpeners47
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences112
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences112
matches
0"he said, eyes on the"
1"he said, and the corner"
2"He turned his face away"
3"She knew him from the"
4"He saw her badge clipped"
5"She drove after him, shoulders"
6"He cut past a queue"
7"He held the cloth-wrapped object"
8"He glanced back."
9"Their eyes met for half"
10"His mouth opened in a"
11"He cut into an alley"
12"Her shoulder brushed wet brick."
13"She drove her boot into"
14"He had gone out the"
15"She emerged onto a service"
16"He knew it too."
17"He shoved harder, jaw set,"
18"He hit the pavement at"
19"He snatched it back before"
ratio0.295
4.64% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount102
totalSentences112
matches
0"Rain sheeted off the green"
1"Quinn stood under the awning"
2"A taxi hissed past."
3"A drunk sang to nobody"
4"Tomás slid the hidden back-room"
5"he said, eyes on the"
6"Quinn glanced at the bookshelf"
7"Tomás tipped his head once."
8"The Saint Christopher at his"
9"Quinn’s jaw tightened."
10"he said, and the corner"
11"A door banged open at"
12"Quinn was already moving before"
13"Satchel slung low."
14"The man crossed the threshold"
15"He turned his face away"
16"She knew him from the"
17"He saw her badge clipped"
18"Quinn pushed through the door"
19"Vance was already sprinting down"
ratio0.911
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences112
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences65
technicalSentenceCount1
matches
0"The gate stood open just long enough for her to see movement beyond it: stalls lit by bare bulbs, hanging charms that shivered on wire, jars of dark powder, gla…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount1
fancyTags
0"he snapped (snap)"
dialogueSentences34
tagDensity0.206
leniency0.412
rawRatio0.143
effectiveRatio0.059
86.2559%