Run: 2026-02-19-01KHT0XRXMKDSW0Y0RQTMT36VF

Run Details

Duration:
20.7s
Cost:
$0.002246
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
The flickering overhead tube lights cast long shadows over the cracked tile floor as Detective Harlow Quinn stepped into the abandoned station. The place smelled of damp concrete and old regrets. Her eyes adjusted quickly. No usual bustle of commuters. Just a cordoned-off area beneath the station’s old platforms where a body lay sprawled, face down, body twisted in an unnatural arc. DS Patel stood nearby, glancing over his notes and then at Quinn. “Victim’s been here since late last night. Cause of death looks like blunt force trauma, consistent with what we saw on the CCTV. No signs of struggle, no witnesses. Pretty straightforward.” Quinn crouched at the edge of the scene, fingers tightening on her worn leather watch. The flash of pale wrist fat beneath the sleeve caught her eye—a shiver raced through her spine that had nothing to do with cold. Her gaze traced lines on the ground, the shattered glass from the small vial nearby, and the faint glimmer embedded in the victim’s palm. “Tell me again,” she said, voice low but firm. “Why was the body here, under Camden? Why not—” “Off the books,” Patel interrupted. “Unregistered location. No cameras. Perfect for a hit. It’s old underground, disconnected from any normal surveillance. Prisons for people like him.” He jerked his chin toward the victim’s battered face. “Drug dealer.” Quinn’s voice rasped. “That’s too easy. Too tidy.” She lifted a shard of greenish glass with gloved fingers. The liquid inside had congealed into glittering particles that resembled crushed emeralds. Her eyes narrowed. Patel frowned. “No known substances like this on record. Synthetic? New designer drug possibly.” He sounded sure, but something in the detective’s gut disagreed. She knelt and turned the victim’s hand over. There, nearly hidden in the palm's creases, lay a small brass object. Verdigris coated its edges and delicate patterns glimmered beneath the grime. Quinn lifted it carefully as if it might burn her. The face bore inscrutable sigils etched deeply. It was a compass. Not an ordinary one. Patel raised an eyebrow. “What do we have there?” “Veil Compass,” Quinn murmured. Her voice was uneven, almost breathless. “Ancient artifact. Crafted by a Shade artisan, if I’m right. Looks like it’s been here a while. The needle’s spinning instead of pointing north.” She flicked her thumb to steady it. “This compass doesn’t point north. It points to supernatural rifts or portals.” Patel scoffed. “Supernatural rifts? Come on, Quinn. We’re police, not ghost hunters.” She stood, eyes sharp. “Exactly what I thought. That’s what makes this no ordinary crime scene. That compass means something—something bigger. This isn’t just a drug dealer’s corpse.” Patel folded his arms, unconvinced but patient. “So what do you think happened here?” Quinn paced the dim platform edge. “The body’s placed here to send a message. But the weapon? No ordinary item smashed into the skull. Glass with alchemical properties, possibly enchanted. And the weapon never left here. Most bruises don’t match blunt force trauma; they’re consistent with something... unnatural.” Patel glanced again at the body. “Like what? Tell me your angle.” Quinn’s eyes locked on the cracked tile by the victim’s foot, where a tiny fragment of bone rested out of place. “It’s a bone token,” she said softly, kneeling and picking it up. “A key to the Veil Market. It’s how you gain entry. This was no ordinary hit—it’s a message aimed at those who know the Market's secrets. The killer wants the Market to know their territory’s been violated.” Patel frowned deeper. “So this victim—part of the Market?” Quinn nodded. “Or someone who crossed them. And whoever killed him wanted it noticed.” Patel’s phone buzzed sharply. He glanced at the screen, then back at Quinn. “There’s a witness—claims to have seen a woman near here shortly after midnight. Dark hair, looked nervous.” Quinn’s lips thinned. “Probably an informant or someone close to the Market, wouldn’t put it past them to slip through cracks. We need to find her.” Patel’s eyebrows twitched in wary agreement. “You think this ties back to the deaths from the past months?” Quinn’s gaze flared. “More than think. The pattern, the locations, the victims—they all cluster around areas where supernatural activity's reported. The Veil Market’s been more active lately. Someone’s stirring up trouble.” She pocketed the compass carefully. “And this,” she tapped the bone token, “is our invitation to the Market. We’re going right under Camden to find answers. But first, we watch. The Market moves every full moon. We need to be ready when it opens next.” Patel swallowed. “You’re betting on something the rest of us refuse to see.” Quinn’s sharp jaw tightened. “I lost my partner, Morris, chasing ghosts like this. It was no accident. This Market’s dangerous, but someone has to dig into the shadows.” She glanced one last time at the cracked tile where the body had laid. “Let’s make sure the next moon doesn’t bring another body.” The detective’s voice carried a hard edge—equal parts warning and promise—before the harsh station echoes swallowed her words.
created_at"2026-02-19T04:00:58.812Z" 2/19/2026, 4:00:58 AM
model"openai/gpt-4.1-mini-2025-04-14"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency650
moderation_latency(null)
generation_time20550
tokens_prompt1149
tokens_completion1416
native_tokens_prompt1010
native_tokens_completion1151
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"
usage0.0022456
router(null)
provider_responses
0
endpoint_id"872eccb7-9c85-45fc-974a-ff7c8e2407e6"
id"resp_0b8cc90211b90d580169968afae42c8193bc06c70e9f95c371"
is_byokfalse
latency118
model_permaslug"openai/gpt-4.1-mini-2025-04-14"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771473658-PoA2lQT4XLvZqiZBCtyf"
upstream_id"resp_0b8cc90211b90d580169968afae42c8193bc06c70e9f95c371"
total_cost0.0022456
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
adverbTagCount1
adverbTags
0"she said softly [softly]"
dialogueSentences29
tagDensity0.31
leniency0.621
rawRatio0.111
effectiveRatio0.069
70.48% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount847
totalAiIsmAdverbs5
found
0
adverb"quickly"
count1
1
adverb"carefully"
count2
2
adverb"softly"
count1
3
adverb"sharply"
count1
highlights
0"quickly"
1"carefully"
2"softly"
3"sharply"
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)
46.87% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount847
totalAiIsms9
found
0
word"raced"
count1
1
word"traced"
count1
2
word"shattered"
count1
3
word"perfect"
count1
4
word"synthetic"
count1
5
word"etched"
count1
6
word"eyebrow"
count1
7
word"flicked"
count1
8
word"echoes"
count1
highlights
0"raced"
1"traced"
2"shattered"
3"perfect"
4"synthetic"
5"etched"
6"eyebrow"
7"flicked"
8"echoes"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences49
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences49
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences69
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen42
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords838
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount401
uniqueNames4
maxNameDensity3.24
worstName"Quinn"
maxWindowNameDensity4.5
worstWindowName"Quinn"
discoveredNames
Detective1
Harlow1
Quinn13
Patel11
persons
0"Harlow"
1"Quinn"
2"Patel"
places
0"Detective"
globalScore0
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences28
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount838
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences69
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs29
mean28.9
std16.45
cv0.569
sampleLengths
062
143
263
318
437
533
624
752
84
99
1053
1112
1228
1314
1448
1512
1621
1749
189
1914
2030
2126
2218
2331
2445
2513
2628
2724
2818
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences49
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs78
matches(empty)
18.63% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount1
flaggedSentences3
totalSentences69
ratio0.043
matches
0"The flash of pale wrist fat beneath the sleeve caught her eye—a shiver raced through her spine that had nothing to do with cold."
1"“The body’s placed here to send a message. But the weapon? No ordinary item smashed into the skull. Glass with alchemical properties, possibly enchanted. And the weapon never left here. Most bruises don’t match blunt force trauma; they’re consistent with something... unnatural.”"
2"The detective’s voice carried a hard edge—equal parts warning and promise—before the harsh station echoes swallowed her words."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount405
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.03209876543209877
lyAdverbCount7
lyAdverbRatio0.01728395061728395
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences69
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences69
mean12.14
std9.88
cv0.814
sampleLengths
022
19
24
35
422
512
631
715
824
924
109
119
125
1330
142
153
1615
1712
183
192
2022
218
2212
2311
2410
257
264
274
284
295
304
316
3231
3312
342
3510
364
3724
387
397
406
4142
426
436
4421
4512
4637
473
486
492
85.51% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.5217391304347826
totalSentences69
uniqueOpeners36
77.52% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences43
matches
0"Just a cordoned-off area beneath"
ratio0.023
61.86% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences43
matches
0"Her eyes adjusted quickly."
1"Her gaze traced lines on"
2"she said, voice low but"
3"He jerked his chin toward"
4"She lifted a shard of"
5"Her eyes narrowed."
6"He sounded sure, but something"
7"She knelt and turned the"
8"It was a compass."
9"Her voice was uneven, almost"
10"She flicked her thumb to"
11"She stood, eyes sharp."
12"she said softly, kneeling and"
13"He glanced at the screen,"
14"She pocketed the compass carefully."
15"she tapped the bone token"
16"She glanced one last time"
ratio0.395
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount40
totalSentences43
matches
0"The flickering overhead tube lights"
1"The place smelled of damp"
2"Her eyes adjusted quickly."
3"DS Patel stood nearby, glancing"
4"Quinn crouched at the edge"
5"The flash of pale wrist"
6"Her gaze traced lines on"
7"she said, voice low but"
8"He jerked his chin toward"
9"Quinn’s voice rasped."
10"She lifted a shard of"
11"The liquid inside had congealed"
12"Her eyes narrowed."
13"He sounded sure, but something"
14"She knelt and turned the"
15"There, nearly hidden in the"
16"Verdigris coated its edges and"
17"Quinn lifted it carefully as"
18"The face bore inscrutable sigils"
19"It was a compass."
ratio0.93
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences43
matches(empty)
ratio0
87.91% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences13
technicalSentenceCount1
matches
0"The liquid inside had congealed into glittering particles that resembled crushed emeralds."
69.44% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount1
matches
0"she said, voice low but firm"
81.03% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount2
fancyTags
0"Patel interrupted (interrupt)"
1"Quinn murmured (murmur)"
dialogueSentences29
tagDensity0.138
leniency0.276
rawRatio0.5
effectiveRatio0.138
79.3089%