Run: 2026-02-19-01KHTQZJ2DPS4ERBN27EVNCF83

Run Details

Model:
GPT-4.1
Duration:
41.6s
Cost:
$0.016586
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 hammered Soho, flattening cigarette butts into floating pulp along the kerb and glossing the slick pavement with reflections from neon. Detective Harlow Quinn’s boots gripped the wet ground, the muted slap of her soles barely audible beneath the throbbing drench. Her coat clung to her shoulders, weight doubled by rainwater. Every line in her face fixed into a scowl, sharp jaw clenched as she threaded between parked cars, mind locked tight on the darting, wiry shape vanishing down an alley. She clocked the runner's outline—slight, yet quick. He vaulted a stack of crates, almost losing his trainers on a copper-tinged puddle. Quinn ducked around an overflowing skip, close enough to catch the edge of his fading cologne. Something sweet, out of place amid the diesel and gutters. He shot a glance over his shoulder. For a flash, streetlight caught the Saint Christopher medallion swinging at his throat. Herrera. She knew him—his criminal history was thin, but something about his name tugged warnings in her gut. Ex-paramedic, plenty of secrets. Always showed up near trouble, like now. He veered left, shoes pelting up worn concrete steps to a service entrance. Quinn’s breathing slowed; she’d trained for this. Even soaked, muscles ached for the pursuit. She counted her strides and pushed her shoulder through a battered door before it swung shut and locked her out. Inside, her eyes adjusted to sour yellow light. The corridors reeked of disinfectant struggling to mask damp. She moved in silence, her training stripping every movement to purpose—the way her hip nudged aside a mop bucket, the way she ducked beneath caution tape someone had torn from a fire extinguisher. The fluorescent flickers led her down a tight spiral stairwell, the footsteps echoing ahead, too fast, too light for anyone but him. "Herrera." She didn’t bother to shout, just pressed the name into the stairwell, soft like a warning, not a demand. His feet hit the last step with a hollow clack and she heard the brief choke of a breath, the pause of indecision. A steel door banged open before he disappeared into the shadows below street level. Quinn set her jaw, trailing him down to a corridor poured from old, soot-stained brick. The electric buzz of the city overhead faded. Rain drummed somewhere above her head, but here, under the bones of the city, it barely registered. Her fingers brushed her leather watch, counting her pulse, grounding her to the moment. Herrera kept ahead, but now the soundscape changed. Voices drifted through cracks in the brick. Against logic, warmth pulsed from below, carrying the clatter of trade: laughter, the metallic clang of coins, a woman’s laughter sounding stitched with challenge. She found him pausing at the end of the tunnel, one hand braced on a rusted gate, the other pressed to his side. Something glinted red on his sleeve—blood, maybe, even through rain and grime. He reached into his pocket and pulled something bone-white and oval, rolling it across his knuckles. She slipped behind a pillar while he pressed the bone token into a waiting palm—a trembling old man with milky eyes, perched on a stool like a gatekeeper of myths. The old man bit into the token. His gums blackened where they met the bone, lips twisting in an ancient smile. He lifted the gate. "You’re late, Tommy," the old man rasped, voice like stones scraping glass. Herrera ducked inside, eyes flicking back without seeing her. Inside, coloured lights flickered through grates set in the ceiling. Quinn edged closer, keeping to the shadows, stifling a curse as her phone buzzed—a colleague checking in. She thumbed the screen to silent and weighed her options. Every protocol in her head screamed for backup. But a clock ticked in her mind, the memory of DS Morris two years dead in a situation they should have controlled. She would not let Herrera slip away, not into this... whatever unsanctioned den lay past that gate. Her hand dropped to her radio, but she left it hanging. The only way forward led through the gate. She waited until the old man's head lolled back, milky gaze unfocused. Quinn crouched and crawled through as the gate swung with the sigh of ancient hinges. Inside, the world changed. Light bent here, colours crawling up the walls from lamps fuelled by unnatural fire. Market stalls sprawled in shifting constellations. Shrines made from animal skulls vied for space with sellers hawking glass vials and talismans. The air tangled with burnt sage, hot metal, ozone, and a tremor of power Quinn felt coil up her calf, tickle at her scalp. Herrera’s trail spilled crimson on the flagstones, sporadic but fresh. He moved through the crowd with a limp now, passing between a witch offering rune-etched silver and a man cradling a sack full of squirming, squealing rats. Bartering language sang from tongues she didn’t recognise, interspersed with the clipped cockney of London’s underbelly. A stallholder with plaited hair tugged on Quinn’s sleeve, pale eyes expectant. "First-timer, love? Careful with that look. Someone’ll buy your memories before you blink." Quinn let her hand linger by her hilt, cold gaze locking with the vendor’s, not breaking stride. Herrera’s pace flagged as he neared an arched opening lined with jagged bone. Quinn pressed closer, using shoppers as cover. Her eyes never left his frame—olive skin pale, blood still seeping between his fingers. He bumped a shelf, tipping vials that fizzed and spat. The merchant lunged for him, but Herrera flashed a pained grin. "Later, sì?" He ducked through the bony archway, staggering now. Quinn eased through the press. At the arch, a hand landed flat on her chest. A woman, twice her size, hennaed with swirling ink, feathers tangled in her dreadlocks, blocked her path. "You have no token. What makes you think you can walk past?" Quinn edged round, eyes narrowed. "He’s running from more than you. Let me through, or he’ll bleed out on your rug. That’ll cost your stall dearly." The woman’s expression split in a way that was almost a smile, but her eyes stayed humourless. "You bring the coppers to Veil Market, you bring ruin, Quinn. Heard of you—but not in the way you like." Quinn’s jaw worked. "I’m not here for your secrets. He’s the only thing between me and a murder inquiry." "You sure about the order of that?" The woman stepped aside, heavy necklaces clinking. Quinn slid through, boots hitting uneven flagstones. The arch closed in behind her with a crack of air; it felt like a threshold crossed only once. The next chamber rolled out in shadow and saffron light, nothing like the Soho she’d left. Herrera’s body hunched at the far end, weight balanced poorly. The Saint Christopher medallion gleamed against his chest. He slid to a stop and fumbled at a table draped in velvet, the merchant behind it drawing back at the scent of blood. Quinn closed, slow now. Rainwater dripped from her cuffs, her watch ticking out the echo of her approach. Herrera braced to run, eyes wild. "Quinn, listen, you don’t understand what’s—" She angled to cut him off, gaze flicking to his arm. "You’re leaking all over their floor. Not a bright move." He clutched his side, forced a lopsided smile. "Better than what waits upstairs." "You don’t want me to call this in. But you’re fresh out of time—same as me." His hand hovered near a jagged bottle on the velvet, desperation flickering. "You should go back up. The rest of them—" Another merchant called out in a foreign tongue, sharp with warning. Shadows pressed closer, drawn by the confrontation and fresh blood. Quinn advanced—boot scuffing, every muscle wired and poised between command and concession. "We’re taking this above ground, now. Or you’ll be explaining yourself to more than just me." Herrera weighed his chances. He gripped the Saint Christopher, knuckles white, breath raw. "You’ll regret it, Quinn. They won’t let you leave here clean," voice trembling, not from fear, but something older. Their standoff gathered weight. At their backs, Veil Market thrummed and waited, each onlooker invested in whatever happened next.
created_at"2026-02-19T10:43:54.579Z" 2/19/2026, 10:43:54 AM
model"openai/gpt-4.1-2025-04-14"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency409
moderation_latency(null)
generation_time41514
tokens_prompt1140
tokens_completion2134
native_tokens_prompt985
native_tokens_completion1827
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"
usage0.016586
router(null)
provider_responses
0
endpoint_id"c235abe8-11cc-42d3-95ad-72f4d198287a"
id"resp_08c6e018dbac5f1f016996e96aa8a48190b7985d4ae9feaf75"
is_byokfalse
latency110
model_permaslug"openai/gpt-4.1-2025-04-14"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771497834-E0puAjFvuNmzbMjNy44N"
upstream_id"resp_08c6e018dbac5f1f016996e96aa8a48190b7985d4ae9feaf75"
total_cost0.016586
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
75.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount1
adverbTags
0"The woman stepped aside [aside]"
dialogueSentences16
tagDensity0.25
leniency0.5
rawRatio0.25
effectiveRatio0.125
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1366
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)
37.77% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1366
totalAiIsms17
found
0
word"weight"
count3
1
word"jaw clenched"
count1
2
word"tinged"
count1
3
word"silence"
count1
4
word"footsteps"
count1
5
word"echoing"
count1
6
word"electric"
count1
7
word"pulse"
count1
8
word"warmth"
count1
9
word"pulsed"
count1
10
word"flickered"
count1
11
word"etched"
count1
12
word"velvet"
count2
13
word"echo"
count1
highlights
0"weight"
1"jaw clenched"
2"tinged"
3"silence"
4"footsteps"
5"echoing"
6"electric"
7"pulse"
8"warmth"
9"pulsed"
10"flickered"
11"etched"
12"velvet"
13"echo"
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
narrationSentences95
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences95
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences107
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1351
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions40
wordCount1183
uniqueNames10
maxNameDensity1.35
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Soho2
Harlow1
Quinn16
Saint3
Christopher3
Herrera10
Morris1
London1
Veil1
Market2
persons
0"Harlow"
1"Quinn"
2"Saint"
3"Christopher"
4"Herrera"
5"Morris"
6"Market"
places
0"Soho"
1"London"
globalScore0.824
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences85
glossingSentenceCount1
matches
0"felt like a threshold crossed only once"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.74
wordCount1351
matches
0"not from fear, but something older"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences107
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs45
mean30.02
std18.72
cv0.624
sampleLengths
081
167
229
347
450
522
620
737
854
939
1051
1155
1212
139
1437
1547
1646
1763
1853
1912
2013
2117
2255
232
248
2532
2612
2726
2817
2920
3019
3114
3226
3358
3418
3512
3621
3713
3816
3921
4021
4128
4213
4319
4419
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences95
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs218
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount2
flaggedSentences10
totalSentences107
ratio0.093
matches
0"She clocked the runner's outline—slight, yet quick."
1"She knew him—his criminal history was thin, but something about his name tugged warnings in her gut."
2"Quinn’s breathing slowed; she’d trained for this."
3"She moved in silence, her training stripping every movement to purpose—the way her hip nudged aside a mop bucket, the way she ducked beneath caution tape someone had torn from a fire extinguisher."
4"Something glinted red on his sleeve—blood, maybe, even through rain and grime."
5"She slipped behind a pillar while he pressed the bone token into a waiting palm—a trembling old man with milky eyes, perched on a stool like a gatekeeper of myths."
6"Quinn edged closer, keeping to the shadows, stifling a curse as her phone buzzed—a colleague checking in."
7"Her eyes never left his frame—olive skin pale, blood still seeping between his fingers."
8"The arch closed in behind her with a crack of air; it felt like a threshold crossed only once."
9"Quinn advanced—boot scuffing, every muscle wired and poised between command and concession."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1196
adjectiveStacks1
stackExamples
0"old, soot-stained brick."
adverbCount27
adverbRatio0.0225752508361204
lyAdverbCount6
lyAdverbRatio0.005016722408026756
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences107
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences107
mean12.63
std6.41
cv0.508
sampleLengths
021
120
210
330
47
514
616
710
87
913
101
1117
124
137
1413
157
167
1720
188
199
2033
2122
2220
2323
2414
2515
268
2717
2814
298
307
3124
3223
3312
3416
3530
367
3714
384
3912
409
4110
4217
4310
448
4522
4610
477
4811
498
55.14% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.3364485981308411
totalSentences107
uniqueOpeners36
70.92% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences94
matches
0"Always showed up near trouble,"
1"Light bent here, colours crawling"
ratio0.021
92.34% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences94
matches
0"Her coat clung to her"
1"She clocked the runner's outline—slight,"
2"He vaulted a stack of"
3"He shot a glance over"
4"She knew him—his criminal history"
5"He veered left, shoes pelting"
6"She counted her strides and"
7"She moved in silence, her"
8"She didn’t bother to shout,"
9"His feet hit the last"
10"Her fingers brushed her leather"
11"She found him pausing at"
12"He reached into his pocket"
13"She slipped behind a pillar"
14"His gums blackened where they"
15"He lifted the gate."
16"She thumbed the screen to"
17"She would not let Herrera"
18"Her hand dropped to her"
19"She waited until the old"
ratio0.319
45.11% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount78
totalSentences94
matches
0"Detective Harlow Quinn’s boots gripped"
1"Her coat clung to her"
2"Every line in her face"
3"She clocked the runner's outline—slight,"
4"He vaulted a stack of"
5"Quinn ducked around an overflowing"
6"Something sweet, out of place"
7"He shot a glance over"
8"She knew him—his criminal history"
9"He veered left, shoes pelting"
10"Quinn’s breathing slowed; she’d trained"
11"She counted her strides and"
12"The corridors reeked of disinfectant"
13"She moved in silence, her"
14"The fluorescent flickers led her"
15"She didn’t bother to shout,"
16"His feet hit the last"
17"A steel door banged open"
18"Quinn set her jaw, trailing"
19"The electric buzz of the"
ratio0.83
53.19% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences94
matches
0"Even soaked, muscles ached for"
ratio0.011
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences58
technicalSentenceCount1
matches
0"Her fingers brushed her leather watch, counting her pulse, grounding her to the moment."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
25.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount2
fancyTags
0"She didn’t (do)"
1"voice trembling (voice)"
dialogueSentences16
tagDensity0.125
leniency0.25
rawRatio1
effectiveRatio0.25
83.2825%