Run: 2026-03-18-01KM09Q71X2WVB8Q94ZXXT0JNP

Run Details

Duration:
29.6s
Cost:
$0.017357
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 slicked the pavement to glass and hammered the hood of the unmarked car until the whole street sounded like a fist on metal. Harlow Quinn stood beneath a narrow awning off Camden High Street, shoulders squared, her cropped salt-and-pepper hair plastered in damp ridges against her head. Water ran from the brim of her coat and ticked off the worn leather watch on her left wrist. Across the street, the man in the dark hooded coat came out of the station mouth with his collar up and his face tucked low. He moved with the twitchy caution of someone who knew every camera on the block and hated each one. Harlow watched him cross into the flood of a streetlamp, saw the sharp angle of his cheek, the bulge of a satchel under his arm. Her jaw tightened. That bag had not left his side since he slipped out of the back door of the pub two streets over. He had checked over his shoulder three times in twenty minutes. Not drunk. Not lost. Running. Harlow stepped off the kerb and kept him in her sights. He reached the junction, paused, then cut hard left into the rain. Harlow followed, boots striking wet tarmac, coat dragging at her thighs. The smell of diesel and soaked chip fat filled the air. A black cab hissed past. He ran between it and a delivery van, and Harlow lengthened her stride, one hand brushing the side of her holster while her eyes held his back. He glanced once and saw her. His shoulders jolted. He broke into a full sprint. “Police.” The word snapped through the rain and bounced off the shuttered shopfronts. He shoved through a crowd clustered under a narrow shop awning, splashed into the road, and came up the far side with his satchel clamped to his ribs. Harlow hit the same gap a beat later, clipped a swinging umbrella with her shoulder, and kept moving. The woman holding it flinched and swore. A man with a takeaway bag turned just in time to get drenched by the wake of them both. The suspect cut through a side street lined with closed record shops and vape lounges. Neon signs burned in the wet, green and pink and blue, blurring into one another on the road. Harlow’s breathing stayed even. Her stride stayed measured. Military habits still lived in her legs after eighteen years on the job. She did not rush corners. She did not give a runner an easy angle. She watched his feet, not his hands. He threw himself round a parked van, nearly slipped on the slick curb, and caught himself on a wing mirror that shrieked under his grip. Harlow closed the distance. “Drop the bag.” He turned his face over his shoulder, rain cutting down his cheeks. Young enough to be stupid. Old enough to know better. “No chance.” He cut through a narrow passage between brick walls, the kind of alley that swallowed sound and light. Harlow entered a second later and felt the temperature change at once. The place stank of damp mortar, piss, and old frying oil. A chain link gate stood at the far end, bolted open. He vaulted through it with a scrape of wet shoes and hit the pavement beyond running. Harlow followed. The alley spat them back into a wider stretch of street where the traffic thinned and the buildings leaned in close. Camden slept under the rain in layers of shut metal, dark windows, and hunched figures under umbrellas. A bus groaned past. He dodged its wake and kept running, all elbows and panic now, his satchel bouncing against his side. Harlow’s phone buzzed in her pocket. She ignored it. The suspect shot a look back and shouted over his shoulder. “Back off!” She gained a few yards and caught the set of his mouth when he said it, the flash of fear under the bravado. That fear sharpened her suspicion into something harder. People did not run that hard for a petty theft. They ran when they carried something worth bleeding for. He turned off the main road and into a narrower lane lined with graffiti-black brick. A dead Tube entrance crouched ahead, sealed with iron grates and a board of old notices peeled into strips by the weather. Harlow’s pulse picked up. The man did not slow. He drove straight for the stairs that dropped below street level. Not a public entrance. Not now. He reached the bottom landing and jammed a hand into his coat. Harlow lunged, boots skidding on wet steps, but he was faster by half a second. He pulled out a bone token, pale and narrow and etched with a sigil that caught the station light. A figure waited in the shadows below, face hidden under a hood, and when the token touched the air between them, the dark space at the foot of the stairs seemed to loosen and part. Harlow stopped hard enough to send a splash of water over the concrete edge. The suspect vanished through the opening. A low murmur drifted up from below, not words exactly, more like a crowd breathing through a throat. Metal clinked against glass. Somewhere deep under the street, a bell rang once. Harlow took one step down and saw the guard at the threshold. Tall. Broad. Coat the colour of soot. One gloved hand rested on the rail, blocking the route with casual certainty. “No token, no entry.” His voice carried the dry scrape of old chalk. Harlow raised her badge. “Metropolitan Police.” The guard looked at it once, then at her face, then at the empty space where the suspect had gone. Rain streamed off the edge of Harlow’s sleeve. The man did not move. “Wrong door for that.” Harlow kept her eyes on the dark opening below. The air rising from it carried damp stone, incense, and something sharper, like the inside of a butcher’s freezer. Street noise faded at the edge of the stairwell, replaced by the soft drag of footsteps and the rustle of cloth from the unseen space beneath. The guard lifted his chin toward the badge. “You bring a warrant, a token, or a prayer. Pick one.” Harlow almost smiled, but the sound that came out of her throat stayed flat. “Move.” He didn’t. She shifted her weight and caught a glint near the third step. The bone token lay in a puddle of rainwater, dropped where the suspect must have fumbled it at the threshold. White against black. Small enough to miss. Easy to lose if she took her eyes off the man long enough to argue. Harlow bent, snatched it up, and turned it between her fingers. The carving bit at her skin, smooth in places and rough in others, as if someone had worn it against a body for years. The guard’s gaze tracked the token, then slid back to her face. “You got five seconds before someone downstairs notices you breathing wrong.” The voice came from the dark behind him this time. Not the guard. Another person. Female, maybe, or a boy with smoke in the throat. Harlow could not tell. The stairwell swallowed the shape. She looked down the steps. The suspect had not gone far. She could hear him now, shoes striking tile, then stopping, then moving again. He was in the market. Close enough to lose in a crowd. Close enough to corner if she moved now. Above her, the rain battered the street. Below her, the city had split open and buried something alive. Harlow closed her fingers around the token until the edge pressed hard into her palm. Her left wrist turned, leather watch dark with rain, the second hand ticking through the pause. She listened to the distant hum rising from the underground and the murmur of bodies she could not yet see. Then she stepped onto the first stair.
created_at"2026-03-18T11:01:31.339Z" 3/18/2026, 11:01:31 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency26973
moderation_latency(null)
generation_time28358
tokens_prompt1140
tokens_completion3104
native_tokens_prompt984
native_tokens_completion3693
native_tokens_completion_images0
native_tokens_reasoning2070
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"
usage0.0173565
router(null)
provider_responses
0
endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_060e922228db98010169ba860b679c81969c64ad236cdeef2c"
is_byokfalse
latency209
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-1773831691-LG7JnQoDCVpF6jjigoez"
upstream_id"resp_060e922228db98010169ba860b679c81969c64ad236cdeef2c"
total_cost0.0173565
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
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1325
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)
77.36% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1325
totalAiIsms6
found
0
word"measured"
count1
1
word"pulse"
count1
2
word"etched"
count1
3
word"footsteps"
count1
4
word"weight"
count1
5
word"glint"
count1
highlights
0"measured"
1"pulse"
2"etched"
3"footsteps"
4"weight"
5"glint"
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
narrationSentences114
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences114
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences124
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1325
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
64.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount1284
uniqueNames6
maxNameDensity1.71
worstName"Harlow"
maxWindowNameDensity3
worstWindowName"Harlow"
discoveredNames
Quinn1
Camden2
High1
Street2
Harlow22
Tube1
persons
0"Quinn"
1"Harlow"
places
0"Camden"
1"High"
2"Street"
globalScore0.643
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences80
glossingSentenceCount1
matches
0"sounded like a fist on metal"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1325
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences124
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs52
mean25.48
std24.45
cv0.96
sampleLengths
067
169
23
337
411
512
654
76
89
91
1012
1172
1275
1325
144
153
1622
172
1868
192
2060
219
2211
232
2450
2557
266
2781
2814
296
3031
3132
324
339
344
352
3633
374
3854
398
4011
4114
421
432
4454
4547
4611
4734
4844
4918
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences114
matches
0"get drenched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs202
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences124
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1287
adjectiveStacks0
stackExamples(empty)
adverbCount32
adverbRatio0.024864024864024864
lyAdverbCount2
lyAdverbRatio0.001554001554001554
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences124
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences124
mean10.69
std7.37
cv0.689
sampleLengths
024
124
219
325
419
525
63
721
811
92
102
111
1211
1312
1411
1511
165
1727
186
193
206
211
2212
2328
2418
257
2619
2715
2818
294
304
3113
325
339
347
3525
364
373
3812
395
405
412
4218
4312
4411
4511
4616
472
4821
4917
53.49% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.3548387096774194
totalSentences124
uniqueOpeners44
63.49% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences105
matches
0"Somewhere deep under the street,"
1"Then she stepped onto the"
ratio0.019
98.10% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount32
totalSentences105
matches
0"He moved with the twitchy"
1"Her jaw tightened."
2"He had checked over his"
3"He reached the junction, paused,"
4"He ran between it and"
5"He glanced once and saw"
6"His shoulders jolted."
7"He broke into a full"
8"He shoved through a crowd"
9"Her stride stayed measured."
10"She did not rush corners."
11"She did not give a"
12"She watched his feet, not"
13"He threw himself round a"
14"He turned his face over"
15"He cut through a narrow"
16"He vaulted through it with"
17"He dodged its wake and"
18"She ignored it."
19"She gained a few yards"
ratio0.305
40.95% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount88
totalSentences105
matches
0"Rain slicked the pavement to"
1"Harlow Quinn stood beneath a"
2"Water ran from the brim"
3"He moved with the twitchy"
4"Harlow watched him cross into"
5"Her jaw tightened."
6"That bag had not left"
7"He had checked over his"
8"Harlow stepped off the kerb"
9"He reached the junction, paused,"
10"Harlow followed, boots striking wet"
11"The smell of diesel and"
12"A black cab hissed past."
13"He ran between it and"
14"He glanced once and saw"
15"His shoulders jolted."
16"He broke into a full"
17"The word snapped through the"
18"He shoved through a crowd"
19"Harlow hit the same gap"
ratio0.838
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences105
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences61
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
89.9241%