Run: 2026-02-19-01KHTQW2KGJB65BWQF6CXAD730

Run Details

Model:
GPT-4.1
Duration:
39.0s
Cost:
$0.015346
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
Puddles split under boots as Detective Harlow Quinn thundered down Berwick Street. Her breath clouded in the mist, her jaw clenched so tightly it throbbed, eyes sharp on the huddled figure vanishing around a corner. Somewhere back the siren’s wail got swallowed by the city’s night noises: taxis hissing past, a bus juddering to a halt, umbrellas snapping open in tired hands. Rain soaked through her trousers and plastered her salt-and-pepper hair against her scalp, but she didn't break stride. Quinn rounded the kerb and swore under her breath. The street forked—one alley, brickwork slick with rain, veered downhill; the other arched under a construction awning, shadowed and empty. She paused. Her quarry—a man, sharp-jacketed, white trainers—half-glanced back, a glint from a wet collar, before darting left. She sprinted. The alley stank of rot and old takeaway. Litter clung to locked bike frames, puddles shimmered with the oily reflection of the city’s neon. Quinn tuned out the ache in her thigh, the old injury that always made itself known in a chase, and focused instead on the rhythm of his footsteps ahead. He reached a battered set of stair rails, slipped over them with an ease born of desperation, then vanished down into the darkness below the street. Quinn dropped onto the slick tarmac by the rails, squinting into the black. A flicker of movement below. Her breath slowed—a deliberate, soldier’s inhale—and she edged toward the stairway. Faded lettering arched over the entrance: Camden Town—Closed For Maintenance. Quinn swept the beam of her torch down wide steps. Water thread the black ironwork and silvered discarded cans. The city above grew muffled, swallowed by concrete and the hiss of the underground. The suspect’s ragged breathing echoed ahead, faint but clear. She thumbed the radio at her belt. Static. Down here, nothing carried. Every instinct in her bones itched—don’t go in alone, wait for backup, think of Morris—but the shock of rain in her eyes, the burn of memory, the white-hot certainty that this man mattered, propelled her down. Footsteps closed. Her quarry hurtled through a gap in a splintered wooden door to what must have once been a passenger tunnel. Quinn flattened herself into the wall’s shadow and watched him fumble inside his jacket, producing something—round, bone-pale, strung on a chain. He pressed it against the wall, muttered words she couldn’t catch. The brickwork shimmered. Light—sickly yellow—spun in ripples, and a slice of wall slid open to reveal a jagged gap just wide enough for a man to slip through. “Shit.” Quinn weighed her choices. A drip traced the scar at her wrist, her watch ticking against her skin. He hadn’t seen her. She moved—quick, silent. The wall seemed to pulse, a paint-thin illusion. Closer now, she could make out the shape of the bone token dangling from a nail beside the aperture. Something was carved along its edge, runes she’d half-glimpsed in Morris’ old notebooks, once tossed aside with a scoff. The air on the other side of the wall stank of incense and electricity. Quinn gritted her teeth and ducked through. Inside, pressure changed—heavier, laced with the pulse of dozens of bodies. Lamps swung overhead, jerry-rigged to bare wires. The platform sprawled, stripped of trains but filled with backs bent over shrouded crates, neon-lit stalls, a hum of bargaining that never rose above a certain pitch. A vendor flicked a knife in the dark, counting out vials glowing dimly blue. Someone else, eyes too large, skin sliced with clever scars, hawked book-sized parcels wrapped in silk. The suspect had slowed, his confidence returned as he blended into the tide. He cut through a group passing a cage of snapping rats, exchanged words with a figure in a cloak, then ducked toward a stall heavy with bottled thunderclouds and teeth. Quinn’s pulse pounded at her neck. If she moved in now, this den would eat her alive. She pressed herself behind a rotting column, fingers brushing the edge of a map stuck to the tile—veins of tunnels, all false except for the chalk mark someone had slashed in the upper corner. The Raven’s Nest. Soho. A sigil in place of a street name. She checked her watch. Past midnight. No squad car in range, no backup. Only her badge and the glint of her worn leather watch flashing off the torchlight. Mind whirring, she weighed her options. Go loud—arrest and chaos—or shadow him deeper, trusting in the edge that had always saved her before. “Detective.” Voice low, wrapped in a Seville accent, softer than the Market’s rough current. Quinn’s head snapped up. Tomás Herrera leaned against a support pillar, eyes warm brown even in the fluorescent half-light, his dark curls rain-mussed, the scar on his forearm just visible below a rolled sleeve. He glanced toward the suspect, then met her gaze with the weight of someone who’d stitched up too many bullet wounds to be surprised by a little blood. “You don’t want to lose him, but you don’t know these stalls. Bad trade.” “You offering a guided tour, Herrera?” Quinn didn’t flinch, didn’t shift her boots from where she’d rooted herself. Her eyes tracked the suspect past a cluster of shrieking children. “I’m offering you don’t end up in a crate,” Herrera shrugged, sliding his Saint Christopher medallion beneath his shirt with a deft motion. “Trouble’s cheaper than luck down here.” Quinn scoffed under her breath, hands tucked behind her back. Rainwater pooled beneath their feet. “You sure you’re not working for him?” Her eyes narrowed. “You stitched up his arm last week at the Nest.” “If I worked for him, you’d be bleeding already.” He nodded, subtle, toward the path the suspect now threaded—toward a heavy iron door manned by three ducked heads, faces blank as new paper. “You going?” Every muscle in her body screamed to move, but years of discipline held her. Beyond that door, she knew, lurked things she’d only half believed—the sort of secrets that twisted simple murder into something else. She forced herself to look away from the gleam of Herrera’s medallion, from the door, back toward the swirl of Market crowds. “If I wanted to walk away,” she muttered, not caring if Herrera caught the edge in her voice, “I’d have already climbed those bloody stairs again.” Herrera’s mouth quirked, but his eyes stayed serious. “Follow him through, they'll want a token. Don’t show your badge. That buys you a world of trouble, not trust.” His shoulders shifted. “Keep your hands empty. Don’t talk unless you’re buying.” Quinn glanced down at her holster, weighing her options. The worn grip comforted her, even if bullets meant less here than secrets. The suspect passed through the iron door, flashing his bone token at the guards. One of them flicked his gaze over the crowd, lingering on Quinn. He lifted a hand, tapping the hilt of a blade tucked against his belt—a warning, sharp as glass. “I know what I’m doing.” Quinn didn’t believe the words, but she wore them like armour. Herrera slipped his hand into a coat pocket, then pressed a cold circle into her palm—a bone token, old, carved with a pattern she recognised only from nightmares. “Don’t lose it. Or me.” She wrapped her fingers around the token and pushed into the press of bodies, keeping Herrera at her side, the Market swallowing them both as the city’s night ebbed and thunder rolled above.
created_at"2026-02-19T10:42:00.437Z" 2/19/2026, 10:42:00 AM
model"openai/gpt-4.1-2025-04-14"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency455
moderation_latency(null)
generation_time38923
tokens_prompt1140
tokens_completion1962
native_tokens_prompt985
native_tokens_completion1672
native_tokens_completion_images0
native_tokens_reasoning0
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"
usage0.015346
router(null)
provider_responses
0
endpoint_id"c235abe8-11cc-42d3-95ad-72f4d198287a"
id"resp_0b4f1befae329536016996e8f884088197a4e297d02155bbee"
is_byokfalse
latency118
model_permaslug"openai/gpt-4.1-2025-04-14"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771497720-XN0T1tUeXyV4bbpll0kq"
upstream_id"resp_0b4f1befae329536016996e8f884088197a4e297d02155bbee"
total_cost0.015346
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
totalTags10
adverbTagCount0
adverbTags(empty)
dialogueSentences15
tagDensity0.667
leniency1
rawRatio0
effectiveRatio0
96.05% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1266
totalAiIsmAdverbs1
found
0
adverb"tightly"
count1
highlights
0"tightly"
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)
24.96% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1266
totalAiIsms19
found
0
word"thundered"
count1
1
word"jaw clenched"
count1
2
word"throbbed"
count1
3
word"glint"
count2
4
word"shimmered"
count2
5
word"footsteps"
count2
6
word"flicker"
count1
7
word"echoed"
count1
8
word"traced"
count1
9
word"pulse"
count3
10
word"flicked"
count2
11
word"silk"
count1
12
word"weight"
count1
highlights
0"thundered"
1"jaw clenched"
2"throbbed"
3"glint"
4"shimmered"
5"footsteps"
6"flicker"
7"echoed"
8"traced"
9"pulse"
10"flicked"
11"silk"
12"weight"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
1
label"jaw/fists clenched"
count1
highlights
0"eyes narrowed"
1"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences84
matches(empty)
57.82% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount4
hedgeCount1
narrationSentences84
filterMatches
0"think"
1"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences90
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1233
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
82.19% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions39
wordCount1106
uniqueNames17
maxNameDensity1.36
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Herrera"
discoveredNames
Detective1
Harlow1
Quinn15
Berwick1
Street1
Camden1
Town1
Closed1
Maintenance1
Morris1
Raven1
Nest1
Seville1
Market3
Herrera7
Saint1
Christopher1
persons
0"Harlow"
1"Quinn"
2"Town"
3"Morris"
4"Raven"
5"Market"
6"Herrera"
7"Saint"
8"Christopher"
places
0"Berwick"
1"Street"
2"Seville"
globalScore0.822
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences66
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1233
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences90
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean38.53
std22.24
cv0.577
sampleLengths
080
147
281
329
452
548
682
723
863
97
1075
1143
1263
1351
1418
1558
1614
1729
1829
1915
2020
2135
2257
2326
248
2532
2622
2744
2816
2928
305
3133
96.91% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences84
matches
0"got swallowed"
1"was carved"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs187
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount21
semicolonCount1
flaggedSentences15
totalSentences90
ratio0.167
matches
0"The street forked—one alley, brickwork slick with rain, veered downhill; the other arched under a construction awning, shadowed and empty."
1"Her quarry—a man, sharp-jacketed, white trainers—half-glanced back, a glint from a wet collar, before darting left."
2"Her breath slowed—a deliberate, soldier’s inhale—and she edged toward the stairway."
3"Faded lettering arched over the entrance: Camden Town—Closed For Maintenance."
4"Every instinct in her bones itched—don’t go in alone, wait for backup, think of Morris—but the shock of rain in her eyes, the burn of memory, the white-hot certainty that this man mattered, propelled her down."
5"Quinn flattened herself into the wall’s shadow and watched him fumble inside his jacket, producing something—round, bone-pale, strung on a chain."
6"Light—sickly yellow—spun in ripples, and a slice of wall slid open to reveal a jagged gap just wide enough for a man to slip through."
7"She moved—quick, silent."
8"Inside, pressure changed—heavier, laced with the pulse of dozens of bodies."
9"She pressed herself behind a rotting column, fingers brushing the edge of a map stuck to the tile—veins of tunnels, all false except for the chalk mark someone had slashed in the upper corner."
10"Go loud—arrest and chaos—or shadow him deeper, trusting in the edge that had always saved her before."
11"“If I worked for him, you’d be bleeding already.” He nodded, subtle, toward the path the suspect now threaded—toward a heavy iron door manned by three ducked heads, faces blank as new paper."
12"Beyond that door, she knew, lurked things she’d only half believed—the sort of secrets that twisted simple murder into something else."
13"He lifted a hand, tapping the hilt of a blade tucked against his belt—a warning, sharp as glass."
14"Herrera slipped his hand into a coat pocket, then pressed a cold circle into her palm—a bone token, old, carved with a pattern she recognised only from nightmares."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount589
adjectiveStacks0
stackExamples(empty)
adverbCount14
adverbRatio0.023769100169779286
lyAdverbCount3
lyAdverbRatio0.0050933786078098476
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences90
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences90
mean13.7
std8.83
cv0.644
sampleLengths
012
123
227
318
49
520
62
716
82
98
1016
1129
1226
1313
145
1511
1610
1710
189
1914
209
217
221
234
2436
252
2620
2721
2811
293
3025
315
3214
334
343
358
3619
3719
3814
397
4011
417
4227
4314
4416
4513
4630
476
4811
4934
73.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.4666666666666667
totalSentences90
uniqueOpeners42
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences78
matches
0"Somewhere back the siren’s wail"
1"Light—sickly yellow—spun in ripples, and"
2"Only her badge and the"
ratio0.038
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences78
matches
0"Her breath clouded in the"
1"Her quarry—a man, sharp-jacketed, white"
2"He reached a battered set"
3"Her breath slowed—a deliberate, soldier’s"
4"She thumbed the radio at"
5"Her quarry hurtled through a"
6"He pressed it against the"
7"He hadn’t seen her."
8"She moved—quick, silent."
9"He cut through a group"
10"She pressed herself behind a"
11"She checked her watch."
12"He glanced toward the suspect,"
13"Her eyes tracked the suspect"
14"Her eyes narrowed"
15"He nodded, subtle, toward the"
16"She forced herself to look"
17"she muttered, not caring if"
18"His shoulders shifted"
19"He lifted a hand, tapping"
ratio0.269
56.15% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount63
totalSentences78
matches
0"Puddles split under boots as"
1"Her breath clouded in the"
2"Quinn rounded the kerb and"
3"The street forked—one alley, brickwork"
4"Her quarry—a man, sharp-jacketed, white"
5"The alley stank of rot"
6"Litter clung to locked bike"
7"Quinn tuned out the ache"
8"He reached a battered set"
9"Quinn dropped onto the slick"
10"A flicker of movement below."
11"Her breath slowed—a deliberate, soldier’s"
12"Quinn swept the beam of"
13"Water thread the black ironwork"
14"The city above grew muffled,"
15"The suspect’s ragged breathing echoed"
16"She thumbed the radio at"
17"Every instinct in her bones"
18"Her quarry hurtled through a"
19"Quinn flattened herself into the"
ratio0.808
64.10% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences78
matches
0"If she moved in now,"
ratio0.013
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences45
technicalSentenceCount1
matches
0"He glanced toward the suspect, then met her gaze with the weight of someone who’d stitched up too many bullet wounds to be surprised by a little blood."
75.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount1
matches
0"she muttered, not caring if Herrera caught the edge in her voice,"
16.67% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount2
fancyTags
0"Voice low (voice)"
1"she muttered (mutter)"
dialogueSentences15
tagDensity0.133
leniency0.267
rawRatio1
effectiveRatio0.267
84.7729%