Run: 2026-02-19-01KHTR0AYRN5RX6HCSYYMS0BTJ

Run Details

Model:
GPT-4.1
Duration:
45.9s
Cost:
$0.016716
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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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
Detective Harlow Quinn ducked beneath the low bulkhead and stepped into the gutted shell of an abandoned Tube carriage. Iron dust clung in her nose, scraping each inhale. Station platform tiles gleamed with an oily sheen under weak worklights. Evidence markers snaked like a breadcrumb trail down the pitch-dark curve of the tunnel. She checked her watch. 3:42 A.M. “Quinn!” DS Patel’s silhouette cut across the carriageway. Younger, less scuffed around the eyes, he pressed his palm against a busted rail and pointed with his torch. “Victim’s through there. It’s proper weird.” Patel’s voice cracked, half-audible above the distant hum of city life leaking through concrete. Harlow followed, boots squelching on moist grit. Her shadow stretched up the carriage ribs. Graffiti faded into ghost script above her head. She paused at the carriage’s far end. Splotches of dark matter, almost black against the maroon vinyl, zigzagged into the operator’s cabin. No arterial spray, but a kind of scatter, like someone marched through oil with bare feet. Quinn peered closer. The marks stopped at the steel rim. A white chalk circle—thin, precise—encircled the lever. No bloody prints beyond. She crouched, letting fingers hover over the edge of the ring. Patel shifted behind her, shuffling for comfort. “Looks ritual, right? I’m thinking cult stuff. Some street gang making a show.” “It’s not local,” she murmured, tracing the edge of the circle, inspecting for ritual detritus. Sand? Candle wax? But there was nothing—just that neat, precise chalk. “No sign of offerings. No glyphs. No shoes from our perpetrator, either.” He thumbed through his notepad. “Witness heard screaming, 2:55. Nobody in or out, except that Polish girl—found the place locked from inside.” She frowned, remembering Eva Kowalski’s name. Aurora’s friend. Quinn pictured red curls and nervous hands. “What did she say?” “Just that she was meeting someone for a ‘book exchange’. The sorts of books you find down here.” Patel’s smirk faltered. “But she stuck to her story. Wouldn’t talk about the circle.” Quinn stepped over the rim. The air inside the operator’s box pressed cold against her face, undertones of copper and ozone. At the far wall, the victim slumped sideways, cheek pitched against cracked polycarbonate. Faint lines of blood—thin, controlled—ran from nostrils and left ear. Eyes wide, filmy. She knelt, ignoring the rip in her coat. The man’s jacket hung askew; white powder flecked his sleeves and pooled in the creases of his palm, like talc. Quinn glanced up. “No powder trail elsewhere?” Patel’s torch bobbed. “None, just here.” She leaned in. No defensive wounds. No sign he’d run or struggled. The mouth hung open in rigid surprise. “You see the compass?” Patel pointed with his clipboard. “The little thing tied to his belt.” Quinn angled her torch down. Brass, nicked from years of pocketing, offset with deep green metal rot. Arcane sigils danced at its edges, sharp as a knife’s point. The compass needle spun, a frantic, unbroken circle. “He bought that,” Patel tried, “for the big show. Found it round the Veil Market—keeps popping up in chatter.” Quinn focused on the compass, brow furrowed. Her gaze travelled to the man’s other hand, fingers contorted in a quiet, secret fist. She pried it open with gloved hands. Faint scrape of something metallic—bone-white and carved, the size of a dog’s eye: a token. Across the threshold, Eva’s silhouette paced, her outline trembling under the station’s jaundiced glow. Patel tensed. “Should get her home. She’s spooked. Swears she’s never seen dead before—never mind one slumped like this.” Quinn shook her head. “Not yet.” She waved Eva over. The redhead hovered at the steps, clutching her satchel like a shield. Bright green eyes darted between Quinn and the body. “Eva. You were here for books?” Eva pressed a trembling palm to her satchel. “That’s all. An exchange. Special volumes, restricted material.” “Who arranged the meeting?” Her words caught. “He only gave his name as Arlen. Never met him before.” “Describe the exchange. Every second.” Eva hesitated, hand flying to tuck a curl behind her ear. “He… showed me that compass. Asked if I recognised the symbols. I—I didn’t. He seemed agitated, like he thought someone followed him.” Patel mumbled, “Jumpy types down here, always.” Eva shot him a glare. Quinn crouched, feeling the subtle prickle under her own skin, something old and unspoken left by a partner lost three years ago. She offered only silence and a fixed, steady gaze. “Did Arlen do anything unusual?” Eva twisted the strap tighter. “He walked in circles around that chalk mark. Said it was ‘insurance.’ Read something in German. Then he pressed the token into my hand, but snatched it back.” “Chalk circle’s unbroken,” Quinn noted. She stared hard at the operator box, the neat precision of the ring. “Anyone cross it?” “No. Arlen wouldn’t let me. He only stepped inside a moment before—before he—” Her voice frayed. Patel leaned in, voice low. “Looks like substance abuse. Ritual overdose. Marked the spot, took the dose, dropped. Whole black market’s rife with new chems.” Quinn shook her head. “No signs of tremor. No syringe. No residue in his mouth. Blood from the nose and ear—could be an aneurysm, but—” she shined her torch on the compass, its needle now pointing, resolute, at the side panel of the cab, a spot marked by flecks of dried wax. She pulled a glove tight, scanning the edges. A tiny slot, almost invisible, pierced the base of the panel. A faint impression, pressed into the grime: a perfect circle, matching the bone token’s size. She looked back at Eva. “Anything else? Sounds? A smell?” Eva’s voice dropped. “Like… iron. Something burning, maybe. I heard whispers just before it happened. I couldn’t catch the words. I thought it was the wind.” No wind down here, Quinn thought. And behind everything, an unsettling clarity grew, cold and rigid. She scanned the rest of the box—found a shred of muslin, stinking of sweet rot, tucked under the seat rail. “Patel. Look at the angle of the blood. See the powder? It’s not talc. That’s bone dust.” Patel’s jaw tightened. “Bone dust?” Quinn nodded at Eva. “Ever see this before, Eva?” Eva squeezed her fists. “Some ancient rites use circles for protection… Or—containment. The token is a key, not an offering.” Quinn slid the bone token into the panel. Something clicked. The bleak hum of the carriage stilled. The compass needle began spinning again, wild, then fixed straight ahead, just as a gust of freezing air swept the compartment. Patel shifted, nervous. “Did we just open something?” Eva murmured, “No. She closed it.” Quinn stood, scraping the chalk ring with her boot, breaking the precisely drawn line. The stale, cloying air eased. She breathed in, watched the compass slow and finally cease its motion. She straightened, ticking her tongue. “Whatever happened, Arlen knew what he was touching. He didn’t die by chance. He died holding a door only he could see.” Eva’s glasses fogged as she shivered. “This place isn’t safe.” Quinn studied her reflection in the cabin’s window, salt-and-pepper hair thrown into dark relief by the underground lights. For a moment she remembered another tunnel, another chalk ring and a partner’s blood. This crime scene hummed with a familiar threat, a secret the street-level world above refused to admit. She looked down at Patel, whose notepad shook as he tried to sketch the circle and its carefully measured glyphs. “We’ll search the rest of the train. Nobody leaves.” Patel nodded, gathering his wits. Quinn pocketed the compass, careful with the bone token. She touched her worn leather watch, steady fingers counting out the seconds, the way she’d learned long ago. Above the hum and clatter of the dead train, she listened—and waited.
created_at"2026-02-19T10:44:20.062Z" 2/19/2026, 10:44:20 AM
model"openai/gpt-4.1-2025-04-14"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency384
moderation_latency(null)
generation_time45796
tokens_prompt1149
tokens_completion2172
native_tokens_prompt1010
native_tokens_completion1837
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"
usage0.016716
router(null)
provider_responses
0
endpoint_id"c235abe8-11cc-42d3-95ad-72f4d198287a"
id"resp_008d92cf92646fea016996e98422008194824d1b63286ddf75"
is_byokfalse
latency93
model_permaslug"openai/gpt-4.1-2025-04-14"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771497860-hOTbwvkpg6Xqyad0BCoF"
upstream_id"resp_008d92cf92646fea016996e98422008194824d1b63286ddf75"
total_cost0.016716
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
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences41
tagDensity0.22
leniency0.439
rawRatio0
effectiveRatio0
92.35% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1307
totalAiIsmAdverbs2
found
0
adverb"precisely"
count1
1
adverb"carefully"
count1
highlights
0"precisely"
1"carefully"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Patel"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
65.57% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1307
totalAiIsms9
found
0
word"tracing"
count1
1
word"furrowed"
count1
2
word"unspoken"
count1
3
word"silence"
count1
4
word"scanning"
count1
5
word"perfect"
count1
6
word"scanned"
count1
7
word"familiar"
count1
8
word"measured"
count1
highlights
0"tracing"
1"furrowed"
2"unspoken"
3"silence"
4"scanning"
5"perfect"
6"scanned"
7"familiar"
8"measured"
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
filterCount2
hedgeCount1
narrationSentences103
filterMatches
0"watch"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences134
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen49
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1287
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
47.96% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions51
wordCount882
uniqueNames8
maxNameDensity2.04
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Eva"
discoveredNames
Harlow2
Quinn18
Tube1
Patel14
Younger1
Sand1
Eva13
Kowalski1
persons
0"Harlow"
1"Quinn"
2"Patel"
3"Eva"
4"Kowalski"
places(empty)
globalScore0.48
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences63
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1287
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences134
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs60
mean21.45
std13.77
cv0.642
sampleLengths
053
16
227
36
436
538
632
720
838
922
1019
1132
1247
1328
147
156
1619
1716
1836
1919
2044
2116
2217
236
244
2521
266
2716
284
2914
305
3133
327
335
3431
355
3633
3721
3816
3925
4052
4134
4210
4326
4436
4517
465
479
4820
4938
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
totalVerbs160
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount9
semicolonCount1
flaggedSentences7
totalSentences134
ratio0.052
matches
0"A white chalk circle—thin, precise—encircled the lever."
1"But there was nothing—just that neat, precise chalk."
2"Faint lines of blood—thin, controlled—ran from nostrils and left ear."
3"The man’s jacket hung askew; white powder flecked his sleeves and pooled in the creases of his palm, like talc."
4"Faint scrape of something metallic—bone-white and carved, the size of a dog’s eye: a token."
5"She scanned the rest of the box—found a shred of muslin, stinking of sweet rot, tucked under the seat rail."
6"Above the hum and clatter of the dead train, she listened—and waited."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount896
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.014508928571428572
lyAdverbCount5
lyAdverbRatio0.005580357142857143
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences134
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences134
mean9.6
std6.77
cv0.705
sampleLengths
019
19
211
314
44
52
68
719
86
914
107
117
128
137
1415
1516
163
177
187
194
2011
217
2213
2315
241
252
268
2712
285
2917
306
312
327
334
3421
3511
365
3716
3813
3910
403
418
4220
433
444
453
463
473
483
496
65.17% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.417910447761194
totalSentences134
uniqueOpeners56
35.84% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences93
matches
0"Bright green eyes darted between"
ratio0.011
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences93
matches
0"She checked her watch."
1"Her shadow stretched up the"
2"She paused at the carriage’s"
3"She crouched, letting fingers hover"
4"she murmured, tracing the edge"
5"He thumbed through his notepad."
6"She frowned, remembering Eva Kowalski’s"
7"She knelt, ignoring the rip"
8"She leaned in."
9"Her gaze travelled to the"
10"She pried it open with"
11"She waved Eva over."
12"Her words caught."
13"She offered only silence and"
14"She stared hard at the"
15"Her voice frayed"
16"she shined her torch on"
17"She pulled a glove tight,"
18"She looked back at Eva."
19"She scanned the rest of"
ratio0.258
51.40% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount76
totalSentences93
matches
0"Detective Harlow Quinn ducked beneath"
1"Iron dust clung in her"
2"Station platform tiles gleamed with"
3"Evidence markers snaked like a"
4"She checked her watch."
5"DS Patel’s silhouette cut across"
6"Patel’s voice cracked, half-audible above"
7"Harlow followed, boots squelching on"
8"Her shadow stretched up the"
9"Graffiti faded into ghost script"
10"She paused at the carriage’s"
11"Quinn peered closer."
12"The marks stopped at the"
13"A white chalk circle—thin, precise—encircled"
14"She crouched, letting fingers hover"
15"Patel shifted behind her, shuffling"
16"she murmured, tracing the edge"
17"He thumbed through his notepad."
18"She frowned, remembering Eva Kowalski’s"
19"Quinn pictured red curls and"
ratio0.817
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences93
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences34
technicalSentenceCount1
matches
0"Quinn stood, scraping the chalk ring with her boot, breaking the precisely drawn line."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount0
matches(empty)
28.05% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount5
fancyTags
0"she murmured (murmur)"
1"Patel’s smirk faltered (falter)"
2"Patel mumbled (mumble)"
3"Quinn noted (note)"
4"Eva murmured (murmur)"
dialogueSentences41
tagDensity0.122
leniency0.244
rawRatio1
effectiveRatio0.244
82.2114%