Run: 2026-02-19-01KHT087C5HXG6GQSYG5RSX4KC

Run Details

Duration:
17.8s
Cost:
$0.000680
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 cracked pavement glinted faintly under the sickly orange glow of a flickering streetlamp. Detective Harlow Quinn approached the cordoned-off entrance of the abandoned Tube station beneath Camden, her sharp eyes scanning the scene like a hawk. The air smelled wrong, thick with something she couldn’t quite place — stale, metallic, with an undertone of burnt rubber. “Notice anything strange?” she asked as she brushed past a uniformed officer standing guard outside the entryway. Her colleague, Detective Marcus Lang, nodded toward the tunnel’s mouth. He looked tense, shoulders tight, eyes flickering with unease as they fell on the scene inside. “It’s strange all right. No sign of forced entry. No blood splatter, no obvious weapon. Just this,” Lang said, motioning at the ground with a hesitant gesture. Quinn knelt. The pavement was disturbed but neat, no debris, no signs of a struggle. Instead, she spotted a faint circle etched into the concrete, like a ritualistic pattern, partially obscured by fresh dirt. “Did you see the body?” Quinn asked, raising her brow. She pulled on latex gloves, pressing her fingertips gently against the spot. “No sign of a body. No body at all,” Lang said, voice low. She looked closer, searching for a clue. The circle’s edges were clean, not hurried. Whoever made it knew what they were doing. Symbols etched into the concrete, strange to her but familiar enough to make her pause. Not quite the typical gang graffiti, not the crude markings of a vandal. She rose slowly, eyes narrowing. “Did you check the surrounding tunnels?” “Yeah, about fifty yards down. Nothing. No signs of movement, no footprints, no discarded items. It’s like whoever was here vanished into thin air.” Quinn fingered the edges of her leather watch, her mind racing. This was not a typical scene. She looked back toward Lang. “No signs of struggle, no blood trail, no weapon. Someone erased all evidence of violence. That’s odd, right?” He nodded. “And the timing. Just after midnight, almost precisely when I got the call. The forensic team is en route, but they won’t find much.” She tilted her head, scanning the surroundings. The tunnel’s entrance loomed behind the makeshift barrier. Shadows played tricks against the damp brick walls, and faint currents of stale air slipped through cracks in the masonry. “Have a look at this,” Quinn said, crouching again, this time near the edges of the circle. She pointed at faint markings in the dirt: a few symbols, scratched hurriedly, almost like a message. But it was not her area of expertise. Still, fragile as they were, the markings looked deliberate. “Anyone else see these?” she asked, turning. Lang shook his head. “No. Forensics didn’t mention anything like that in the report, but I didn’t see them myself.” Quinn pulled out her Veil Compass, the small brass tool with protective sigils etched into its face. She held it close, watching how the needle quivered toward the tunnel entrance. Something bleeding through the fabric of reality, she suspected. The compass pointed steadily inward, restless. “Could be a portal or a rift,” she muttered, eyes fixed on the needle. Lang scoffed softly. “You really think this is supernatural?” “I don’t discount it, Marcus. Not anymore.” Quinn lowered the compass and looked around again. The underground market’s influence lingered in her mind—stories of black-market goods, forbidden artifacts, shadows spilling into the streets like ink. This was no ordinary crime scene. Then something drew her eyes to the corner of the tunnel, where the wall met the ceiling. A faint shimmer, like heat distortion but more... unnatural. She moved closer, her footsteps silent on the damp floor. “See that?” she pointed. “Magnifies the strange. Something was here. Something otherworldly.” Lang stepped up, eyeing the spot. “Could be residual energy. Or maybe just a trick of the light.” “Not with that compass.” Quinn’s tone sharpened. “Whatever left this mark came through a rift. And whoever was here knew how to cover their tracks.” She crouched again, scanning the symbols in the dirt. Familiar sigils, faint smudges of chalk or ash? She couldn’t tell. Each gave off a faint aura of magic, or at least something beyond ordinary understanding. Her gaze darted between the symbols and the shimmering spot on the wall. Then her eyes caught a faint outline—like a handprint, but not made of skin. Something more translucent, almost like a ghostly imprint pressed onto the brick, too faint for ordinary sight. “Someone was here... recently,” she whispered, standing up. “And they left behind more than just symbols.” “Or maybe something left its mark on them,” Lang said sharply. Quinn’s teeth clenched. “Don’t jump to conclusions, just yet. There’s a pattern here—one we’re missing. The body’s nowhere in sight because it wasn’t ever here to begin with. Or, if it was, it disappeared.” She stepped toward the tunnel’s shadowed maw, the compass in her hand trembling slightly. She peered into the darkness, senses heightened, every nerve alive. The supernatural currents pulsed faintly beneath her fingertips, calling to her. She had stumbled into something she hadn’t expected, and the deeper she looked, the less she understood. “Whoever did this knew exactly what they were doing. Clean, precise, avoiding leaving evidence. Just like the circle. Someone with knowledge.” She grimaced, torn between exhaustion and curiosity. “Maybe it’s just some clandestine cult messing around,” Lang offered. “Or a gang throwing around symbols for kicks.” “Maybe,” Quinn replied, voice low. “But in my line of work, symbols don’t just mean gang signs. They whisper secrets.” She stepped back and looked at the scene as a whole. The silence pressed heavy. Shadows clung to every edge of the tunnel’s mouth, and something in the air whispered of secrets buried beneath. Her gaze hardened. She knew the pattern wasn’t accidental — someone was trying to send a message, or hide something. Whatever it was, the scene made one thing clear: this wasn’t a routine crime. She caught Lang’s eye. “Get the forensic team to focus on the symbols. Sand, dirt, anything. And keep the area sealed. I want surveillance footage from the previous night—if there’s any.” He hesitated. “Think we’re dealing with supernatural here?” “Could be. Or someone who’s learned to bend the rules. Either way, I’m about to find out.” Quinn pressed her hand to her leather watch, her gaze fixed on the shadows beyond. The scent of something ancient and dangerous lingered there, curling like smoke around her senses. Someone had come through that hole in the fabric of reality. Someone or something. And she intended to find out why.
created_at"2026-02-19T03:49:12.717Z" 2/19/2026, 3:49:12 AM
model"openai/gpt-4.1-nano-2025-04-14"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency293
moderation_latency(null)
generation_time17656
tokens_prompt1149
tokens_completion1816
native_tokens_prompt1010
native_tokens_completion1448
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"
usage0.0006802
router(null)
provider_responses
0
endpoint_id"9251cee5-5503-4be9-9439-7ae21ff062a3"
id"resp_095757e692f58d080169968838c9988196a86040a29e747a6d"
is_byokfalse
latency115
model_permaslug"openai/gpt-4.1-nano-2025-04-14"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771472952-NnWVauQUmBlbD5XEqKMg"
upstream_id"resp_095757e692f58d080169968838c9988196a86040a29e747a6d"
total_cost0.0006802
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
totalTags16
adverbTagCount1
adverbTags
0"Lang said sharply [sharply]"
dialogueSentences31
tagDensity0.516
leniency1
rawRatio0.063
effectiveRatio0.063
68.07% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1096
totalAiIsmAdverbs7
found
0
adverb"gently"
count1
1
adverb"slowly"
count1
2
adverb"precisely"
count1
3
adverb"softly"
count1
4
adverb"really"
count1
5
adverb"sharply"
count1
6
adverb"slightly"
count1
highlights
0"gently"
1"slowly"
2"precisely"
3"softly"
4"really"
5"sharply"
6"slightly"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Marcus"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
17.88% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1096
totalAiIsms18
found
0
word"scanning"
count3
1
word"etched"
count3
2
word"familiar"
count2
3
word"racing"
count1
4
word"loomed"
count1
5
word"quivered"
count1
6
word"footsteps"
count1
7
word"otherworldly"
count1
8
word"maw"
count1
9
word"pulsed"
count1
10
word"clandestine"
count1
11
word"whisper"
count1
12
word"silence"
count1
highlights
0"scanning"
1"etched"
2"familiar"
3"racing"
4"loomed"
5"quivered"
6"footsteps"
7"otherworldly"
8"maw"
9"pulsed"
10"clandestine"
11"whisper"
12"silence"
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
emotionTells1
narrationSentences78
matches
0"g with unease"
87.91% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences78
filterMatches
0"watch"
hedgeMatches
0"tended to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences93
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1093
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
76.08% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount744
uniqueNames9
maxNameDensity1.48
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn11
Tube1
Camden1
Detective2
Marcus1
Lang10
Veil1
Compass1
persons
0"Harlow"
1"Quinn"
2"Detective"
3"Marcus"
4"Lang"
5"Compass"
places(empty)
globalScore0.761
windowScore1
59.09% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences55
glossingSentenceCount2
matches
0"quite place — stale, metallic, with an undertone of burnt rubber"
1"Not quite the typical gang graffiti, not the crude markings of a vandal"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1093
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences93
matches
0"through that hole"
95.02% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs39
mean28.03
std13.52
cv0.483
sampleLengths
057
117
226
327
434
522
613
750
811
924
1040
1126
1235
1351
147
1520
1645
1714
189
1941
2036
2112
2218
2325
2435
2544
2616
2711
2834
2952
3028
3118
3220
3334
3434
3531
368
3747
3821
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences78
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs137
matches
0"were doing"
1"was trying"
19.97% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences4
totalSentences93
ratio0.043
matches
0"The air smelled wrong, thick with something she couldn’t quite place — stale, metallic, with an undertone of burnt rubber."
1"The underground market’s influence lingered in her mind—stories of black-market goods, forbidden artifacts, shadows spilling into the streets like ink."
2"Then her eyes caught a faint outline—like a handprint, but not made of skin."
3"She knew the pattern wasn’t accidental — someone was trying to send a message, or hide something."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount745
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.038926174496644296
lyAdverbCount12
lyAdverbRatio0.016107382550335572
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences93
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences93
mean11.75
std6.85
cv0.583
sampleLengths
014
123
220
317
410
516
627
72
813
919
1010
1112
1213
137
147
158
1615
1713
185
196
2024
2111
226
235
2418
252
2624
277
288
2920
3017
3117
328
339
347
354
3616
3717
3813
399
406
4114
423
436
4415
4520
466
4717
488
491
71.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.44086021505376344
totalSentences93
uniqueOpeners41
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences72
matches
0"Instead, she spotted a faint"
1"Still, fragile as they were,"
2"Then something drew her eyes"
3"Then her eyes caught a"
ratio0.056
81.11% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences72
matches
0"she asked as she brushed"
1"Her colleague, Detective Marcus Lang,"
2"He looked tense, shoulders tight,"
3"She pulled on latex gloves,"
4"She looked closer, searching for"
5"She rose slowly, eyes narrowing."
6"She looked back toward Lang."
7"She tilted her head, scanning"
8"She pointed at faint markings"
9"she asked, turning"
10"She held it close, watching"
11"she muttered, eyes fixed on"
12"She moved closer, her footsteps"
13"She crouched again, scanning the"
14"She couldn’t tell."
15"Her gaze darted between the"
16"she whispered, standing up"
17"She stepped toward the tunnel’s"
18"She peered into the darkness,"
19"She had stumbled into something"
ratio0.347
22.50% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount63
totalSentences72
matches
0"The cracked pavement glinted faintly"
1"Detective Harlow Quinn approached the"
2"The air smelled wrong, thick"
3"she asked as she brushed"
4"Her colleague, Detective Marcus Lang,"
5"He looked tense, shoulders tight,"
6"Lang said, motioning at the"
7"The pavement was disturbed but"
8"Quinn asked, raising her brow"
9"She pulled on latex gloves,"
10"Lang said, voice low"
11"She looked closer, searching for"
12"The circle’s edges were clean,"
13"Symbols etched into the concrete,"
14"She rose slowly, eyes narrowing."
15"Quinn fingered the edges of"
16"This was not a typical"
17"She looked back toward Lang."
18"She tilted her head, scanning"
19"The tunnel’s entrance loomed behind"
ratio0.875
69.44% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences72
matches
0"Whoever made it knew what"
ratio0.014
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences32
technicalSentenceCount0
matches(empty)
31.25% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags16
uselessAdditionCount3
matches
0"Lang said, voice low"
1"she muttered, eyes fixed on the needle"
2"Quinn replied, voice low"
53.23% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags11
fancyCount3
fancyTags
0"she muttered (mutter)"
1"she whispered (whisper)"
2"Quinn pressed (press)"
dialogueSentences31
tagDensity0.355
leniency0.71
rawRatio0.273
effectiveRatio0.194
81.0957%