Run: 2026-02-19-01KHTR1097WHR8VATSXXF7EREV

Run Details

Model:
GPT-4.1
Duration:
39.1s
Cost:
$0.016106
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
Harlow Quinn cut across the mouth of Berwick Street, boots hitting slick cobbles with unerring rhythm. The rain painted her bare scalp cold beneath the stubbled salt-and-pepper of her hair. She ignored the damp seeping through the shoulders of her cheap suit. Eyes up, body forwards, hand brushing the weight of her radio at the hip, she fixed every muscle on the man running ahead—a short, broad figure, the glint of a Saint Christopher medallion bouncing at his throat as he darted between cabs. That runner had already risked two southbound buses and a cyclist screeching curses as he skidded into a puddle. Not a junkie. Not this time. Something else made these men run at the whisper of police. Quinn’s breath drew tight, the air full of wet tarmac and fried onions from a cart packing up under a groaning tarp. The runner, Herrera the police file had called him, chanced a look over the shoulder. Brown eyes wide in his olive face, not wild—calculated. He vanished down an alley littered with bin bags leaking oily trails wherever the rain peeled away their black skin. Quinn surged forward. She pressed a hand to her comm. “Suspect heading east off Berwick, past the Caff. Alone. No backup required yet.” Her voice, clipped. No need to betray the slide of tension working its way up her spine. She trusted her training; she trusted the blade-like calm she’d forged after Morris— No sense thinking backwards. She darted down the alley, lungs beginning to burn, steps careful not to trip on soaked cardboard. Ahead the alley split, a slant of sickly streetlamp light falling over slick brick walls, and a corrugated door yawned open a fraction. Herrera ducked inside. Quinn pressed her back into the shadow, heart pounding steady in her chest. Rain dripped off her jaw, melted down her neck. Her hand hovered near her service weapon, thumb tracing absent circles over the old leather watch wrapping her wrist. A voice called out inside—low, harsh, not English. “Hurry. We haven’t got all night.” Another reply in the same tongue, the words tumbling fast. Sevilla accent. They were nervous in there, whoever was with Herrera. Quinn pushed herself off the wall, slid through the cracked door. Inside, light from mismatched bulbs flickered overhead, painting haloes over stacks of boxes. Herrera’s shape shot across her field of vision, ducking behind a wire cage stuffed with metal canisters and rolled tarps. Someone else shrouded in a hood stood at the back, hand pressed to a door that ought to have led to a broom cupboard. The door swung open. Not onto darkness. A steep stone stairwell plunged downward, framed by a gust of chill air carrying a tang—a sharp metallic scent, and something older, stranger, beneath it. Blood. Wet clay. Herrera’s voice, forced low, snapped over his shoulder. “Don’t make this worse. Walk away, Quinn!” She noted how he used her name, not ‘Detective.’ Personal, then. She remembered his file—a paramedic barred by the NHS for treating "odd" wounds. Off-the-books jobs flagged by informants, all in Soho and Camden, never a charge that stuck. Quinn took two steps forward, weapon still holstered. Her coat dripped onto the warped plywood floor. “You’re running,” her voice matched the cold eddy leaking from below. “Makes you look guilty. I don’t want to shoot anyone tonight.” The hooded figure jerked their chin, voice rough and bored. “She won’t shoot. There’s rules down there.” Herrera’s grip tightened on the railing. “She doesn’t know the rules.” The hooded one spat, a thick glob landing near Quinn’s boots. “Her problem.” They darted down the stairs, vanishing into gloom. Herrera hesitated, jaw hard, scar along his forearm pale in the flickering light. “What’s waiting?” Quinn’s tone sanded down, just enough patience laced through. “Tell me.” Herrera glanced back at her, rain pushing wet grooves through his curls. The medallion glinted—Saint Christopher, patron of travelers. A crack of longing in those eyes. “Not your world, Detective.” He dropped into the darkness. Quinn drew her pistol, flicked the safety off, and advanced. She crouched at the top of the stairs, listening. Voices filtered upward, a language she couldn’t grasp, but under it, London’s constant hum frayed—replaced by something older, like the trapped memory of train wheels and the heaviness of earth packed around the living. She forced herself down, boots echoing against the stone. The stairwell twisted; the concrete walls grew rougher, graffiti scratched in symbols that coiled then knotted on themselves. The air thickened with incense and tobacco and the sharp tang of hot iron. One level down, the tunnel opened wide. She entered The Veil Market. Stalls shouldered up to the curved platform wall. Smoke hung thick, sucked mercilessly into the ribbed tunnel roof, held by the ghosts of a thousand lost trains. Sellers perched behind crates stacked with jars throbbing with shifting light. Some faces too sharp, eyes too black, one jaw pocked by barnacles that glistened. Half the faces human. Half not. Herrera was nowhere in sight. Quinn pressed against the wall, weapon tucked at her thigh, dim yellow bulbs painting rings on the puddled platform. She scanned the crowd. Some stallholders looked away, studiously arranging rust-caked instruments on velvet. Others held her eye too long, reptilian pupils wide and unblinking. The market pressed on, the crowd shifting like the tide around her. A hunched vendor shuffled near, chin bristled with forked whiskers. “Lost, lovely?” She kept her voice flat. “Looking for someone.” Vendor snorted, lower set of teeth clicking over the upper. “Not unless you got entry.” He held up a pale chip—bone-white, carved with symbols. Quinn’s hand tightened on her watch. “Let me pass, or I’ll have to make things difficult.” A growl, almost mammalian, shivered from the crowd. Vendors watched her. A pale woman in a funeral veil paused, setting a jar done heavy with pink foam. Another stallholder muttered, voice wrapping around the pillar beside her. “She doesn’t belong. She’ll draw ‘em down.” Herrera’s voice knifed in, hard, from the end of the platform. “Let her through. I’ll vouch.” He stepped from a shadow beyond a stack of leather-bound tomes. One hand up, calm, showing empty palms. “Let’s talk somewhere quiet, Harlow.” The crowd flattened in a ripple, some stepping back—the market wary, not afraid, Quinn noted. Were they usually this contained around enforcement? She judged the distance, boots making muted contact on the platform, her damp shirt clinging to her back. Quinn kept her weapon pointed down, eyes locked on Herrera. “What is this place?” Herrera matched her pace, always just out of reach. “It’s business. Nobody gets hurt if you just listen for five minutes.” The hunched vendor spat at the tiles, hissed. “You don’t get it, policeman. Cross the wrong line, everyone bleeds.” Herrera looked back once—eyes warm, hand out. “She is with me!” Quinn stepped past, the circle opening enough for her to join Herrera near the entrance to a narrow corridor deeper underground. The air pulsed with heat from lanterns, heady with spices and coppery tang. She scanned the shadows, voice pressed low. “You’re going to explain what’s going on, Herrera. You have one minute.” Herrera’s mouth twisted, regret and fatigue working grooves into his cheeks. Still, he held her gaze, unblinking, fearless. “You’re in over your head, Detective. There’s rules down here. Rules you don’t get to break.” Quinn ran a thumb over her watch strap, jaw set. “Let’s see about that. Start talking.” A distant clang rang through the station—the wild echo of old tracks, or something heavier. Quinn’s pulse thrummed high, adrenaline sharpening her senses. All around, the market watched, the city above discarded for something older and waiting. Herrera led her farther in, voices and light closing behind them.
created_at"2026-02-19T10:44:41.901Z" 2/19/2026, 10:44:41 AM
model"openai/gpt-4.1-2025-04-14"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency407
moderation_latency(null)
generation_time38980
tokens_prompt1140
tokens_completion2153
native_tokens_prompt985
native_tokens_completion1767
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"
usage0.016106
router(null)
provider_responses
0
endpoint_id"c235abe8-11cc-42d3-95ad-72f4d198287a"
id"resp_0ed16b18ed120b70016996e999fbdc8194b41b9ac57c68a064"
is_byokfalse
latency123
model_permaslug"openai/gpt-4.1-2025-04-14"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771497881-yuaobb6sXxuIGYHQ2Mdq"
upstream_id"resp_0ed16b18ed120b70016996e999fbdc8194b41b9ac57c68a064"
total_cost0.016106
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
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences26
tagDensity0.154
leniency0.308
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1309
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)
31.25% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1309
totalAiIsms18
found
0
word"weight"
count1
1
word"glint"
count1
2
word"whisper"
count1
3
word"calculated"
count1
4
word"tension"
count1
5
word"pounding"
count1
6
word"tracing"
count1
7
word"flickered"
count1
8
word"chill"
count1
9
word"gloom"
count1
10
word"flicked"
count1
11
word"echoing"
count1
12
word"scanned"
count2
13
word"velvet"
count1
14
word"pulsed"
count1
15
word"echo"
count1
16
word"pulse"
count1
highlights
0"weight"
1"glint"
2"whisper"
3"calculated"
4"tension"
5"pounding"
6"tracing"
7"flickered"
8"chill"
9"gloom"
10"flicked"
11"echoing"
12"scanned"
13"velvet"
14"pulsed"
15"echo"
16"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
narrationSentences103
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences103
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences126
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen43
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1291
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions45
wordCount1124
uniqueNames13
maxNameDensity1.42
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Herrera"
discoveredNames
Quinn16
Berwick1
Street1
Saint2
Christopher2
Herrera16
Morris1
English1
Soho1
Camden1
London1
Veil1
Market1
persons
0"Quinn"
1"Saint"
2"Christopher"
3"Herrera"
4"Morris"
5"Veil"
6"Market"
places
0"Berwick"
1"Street"
2"Soho"
3"London"
globalScore0.788
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences84
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1291
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences126
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs63
mean20.49
std20.73
cv1.011
sampleLengths
0120
169
27
313
430
547
641
78
86
932
1057
117
1228
138
147
1539
1616
1722
1810
197
206
215
2213
2321
2413
2526
264
275
2862
2939
305
3158
325
3356
3410
352
365
373
3810
395
4015
4110
4227
4317
4411
455
4618
475
4840
4914
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences103
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs192
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount13
semicolonCount2
flaggedSentences13
totalSentences126
ratio0.103
matches
0"Eyes up, body forwards, hand brushing the weight of her radio at the hip, she fixed every muscle on the man running ahead—a short, broad figure, the glint of a Saint Christopher medallion bouncing at his throat as he darted between cabs."
1"Brown eyes wide in his olive face, not wild—calculated."
2"She trusted her training; she trusted the blade-like calm she’d forged after Morris—"
3"A voice called out inside—low, harsh, not English."
4"A steep stone stairwell plunged downward, framed by a gust of chill air carrying a tang—a sharp metallic scent, and something older, stranger, beneath it."
5"She remembered his file—a paramedic barred by the NHS for treating \"odd\" wounds."
6"The medallion glinted—Saint Christopher, patron of travelers."
7"Voices filtered upward, a language she couldn’t grasp, but under it, London’s constant hum frayed—replaced by something older, like the trapped memory of train wheels and the heaviness of earth packed around the living."
8"The stairwell twisted; the concrete walls grew rougher, graffiti scratched in symbols that coiled then knotted on themselves."
9"He held up a pale chip—bone-white, carved with symbols."
10"The crowd flattened in a ripple, some stepping back—the market wary, not afraid, Quinn noted."
11"Herrera looked back once—eyes warm, hand out."
12"A distant clang rang through the station—the wild echo of old tracks, or something heavier."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount727
adjectiveStacks0
stackExamples(empty)
adverbCount11
adverbRatio0.015130674002751032
lyAdverbCount4
lyAdverbRatio0.005502063273727648
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences126
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences126
mean10.25
std6.34
cv0.618
sampleLengths
016
114
212
342
419
53
63
711
822
915
109
1120
123
137
1413
153
1614
1713
184
1917
2023
213
2213
239
2419
258
266
2710
282
299
3011
3113
3220
3324
344
353
3625
371
382
398
407
4111
4213
4315
448
458
4611
4711
4810
497
60.32% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.38095238095238093
totalSentences126
uniqueOpeners48
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences99
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences99
matches
0"She ignored the damp seeping"
1"He vanished down an alley"
2"She pressed a hand to"
3"Her voice, clipped."
4"She trusted her training; she"
5"She darted down the alley,"
6"Her hand hovered near her"
7"They were nervous in there,"
8"She noted how he used"
9"She remembered his file—a paramedic"
10"Her coat dripped onto the"
11"her voice matched the cold"
12"They darted down the stairs,"
13"He dropped into the darkness."
14"She crouched at the top"
15"She forced herself down, boots"
16"She entered The Veil Market."
17"She scanned the crowd."
18"She kept her voice flat."
19"He held up a pale"
ratio0.232
35.76% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount84
totalSentences99
matches
0"Harlow Quinn cut across the"
1"The rain painted her bare"
2"She ignored the damp seeping"
3"That runner had already risked"
4"Something else made these men"
5"Quinn’s breath drew tight, the"
6"The runner, Herrera the police"
7"Brown eyes wide in his"
8"He vanished down an alley"
9"Quinn surged forward."
10"She pressed a hand to"
11"Her voice, clipped."
12"She trusted her training; she"
13"She darted down the alley,"
14"Herrera ducked inside."
15"Quinn pressed her back into"
16"Rain dripped off her jaw,"
17"Her hand hovered near her"
18"A voice called out inside—low,"
19"Another reply in the same"
ratio0.848
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences99
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences55
technicalSentenceCount3
matches
0"Off-the-books jobs flagged by informants, all in Soho and Camden, never a charge that stuck."
1"The stairwell twisted; the concrete walls grew rougher, graffiti scratched in symbols that coiled then knotted on themselves."
2"Some faces too sharp, eyes too black, one jaw pocked by barnacles that glistened."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"She noted (note)"
dialogueSentences26
tagDensity0.038
leniency0.077
rawRatio1
effectiveRatio0.077
83.1329%